rooted in the cosmovision of the Quechua peoples of the Andes, of “sumac kawsay”, a kichwa term which denotes the fullness of life, rooted in community and harmony with other people and nature
Buen Vivir has its roots in the Andes Quechua peoples view of life as 'sumac kawsay'
The Ecuadorian Constitution of 2008 declares “We … hereby decide to build a new form of public coexistence, in diversity and in harmony with nature, to achieve the good way of living.”
Buen Vivir as term comes from a sentence in the 2008 constitution of Ecuador, equating harmony with nature as the good way of living.
Richting gevend plan van Aanpakversie: 2024-05-06
Dit plan is v mei 2024. Is het onderzoek inmiddels in gang? Auteur plan is niet duidelijk, denk beleidsambt.
Hoe kijken (juridische VN-)experts op het gebied van RvdN aan tegen de toepasbaarheid vanhet concept in de gemeente Eijsden- Margraten?
interessant expliciete formulering: auteur heeft hier denk ik gericht iets voor ogen. Welke VN experts?
#openvraag is natuur rechtspersoon iets dat VN aandacht aan geeft?
Hoe is het concept wereldwijd al toegepast in wet- en regelgeving? Wat is de historischecontext in deze gebieden? Waarom is RvdN hier toegepast?
Voor fase 1 worden 9 vragen gesteld, maar dit is de enige belangrijke: hoe landt dit elders in wet/regelgeving? Hoe wordt een nieuwe rechtspersoon daadwerkelijk gecreëerd. Of is het niet een echt nieuwe? Maar een civic org met een bestuur dat zich opstelt als de rivier/lagune/gebied?
Er wordt dan pasonderzoek gedaan naar de mogelijkheden voor implementatie, en dus naar het juridische -, enbeleidsvraagstuk. Fase 1 van het onderzoek dient enkel als verkenning over de passendheid van hetconcept RvdN in de gemeente Eijsden-Margraten
Fase 2 kijkt pas juridisch tav uitvoering (tikje vreemd want landelijke wetgeving zal bepalend zijn, de lit studie in f1 zal toch ook hierover moeten gaan: kan het in NL?) Stelt verwachtingen Fase 1 laag.
eze eerste verkenningsfase is enkelgericht op het uitdiepen van enerzijds de academische literatuur over het onderwerp, anderzijds ophet overzichtelijk krijgen van de belanghebbenden en diens kennis over de regio
literatuurstudie en stakeholder analyse in fase 1.
RvdN als concept benadrukt het benoemenvan de natuur als rechtspersoon als manier om deze beter te beschermen. Als de natuuronafhankelijk van diens belang voor anderen bestaansrecht krijgt, wat de intrinsieke waardeversterkt, is dit uiteindelijk positief voor het behoud van een gezond leefgebied voor alle soorten inhet gebied (inclusief de mens)
Onderzoeksoorstel is verder behoorlijk vaagtaal, maar hier staat het zinnetje dan wel expliciet dat het om rechtspersoon gaat.
Rechten van de Natuur (RvdN) is gebaseerd op Latijns-Amerikaans gedachtegoed bekend als BuenVivir (vertaling: goed leven), waarin gelijkwaardig samenleven met de natuur een actief onderdeelvan de maatschappij is. RvdN is op meerdere plekken wereldwijd geïmplementeerd voor duurzameontwikkeling met een lange-termijnsvisie.
Inspiratiebron is niet N-Zealand rivier, maar de Buen Vivir gedacht uit Z-Amerika. Label Rechten van de Natuur RvdN.
De motie van PRO verzoekt de gemeente Eijsden-Margraten om onderzoek te doen naar dejuridische en praktische haalbaarheid van het toekennen van rechtspersoonlijkheid aan de natuur inde gemeente Eijsden-Margraten
Gemeentemotie ging om onderzoek naar mogelijkheid lokale natuur status v rechtspersoon te geven.
Beetje raar art. omdat aan het eind blijkt dat we ook in EU en NL dit soort initiatieven hebben, en het tot die tijd als een soort curiositeit beschrijft.
#openvraag hoe kregen de genoemde voorbeelden status v rechtspersoon eigenlijk (is het via een bestaande vorm, stichting bijv, of is het een nieuwe vorm, met aanpassing wetten?)
In 38 landen voorbeelden zegt artikel (Heeft Karl Schroeder er een lijst van wellicht?)
2017 Te Awa Tupua (Whanganui) rivier krijgt rechtspersoon status, N-Zealand 2022 Mar Menor lagune, Spanje, eerste EU voorbeeld 2023 Eijsden-Margraten motie
Vgl [[Stealing Worlds by Karl Schroeder]] en [[Email Stop Ecocide International Team Massive EU News 28-3-202411:05:08]] mbt ecocide
Use social media to shape political narratives. But also, unplug. Switch on to political aeroplane mode. Think long-term. Don’t get caught in the news cycle or buried under the “flood the zone” avalanche of absurdities populists use to wear down their critics.
Some contrast with previous. As news cycle is also source of stories to collect in previous point, no? Focus on actions not words the diff?
https://web.archive.org/web/20250428054937/https://www.jacksonsart.com/blog/2019/11/27/writing-artist-bio-statement/ Via [[Roy Scholten]] https://bildung.royscholten.nl/nl/posts/2025/art-for-a-living-vonk/ Makes me wonder about using it for artisans, not artists, and by extension for knowledge-artisans. As it puts the creative acts of K-work more central. Vgl [[Convening call 20230908135351]] en [[Kenniswerk is ambacht 20040924200250]]
Val-de-Travers canton Neuchâtel, has a stretch of rail where solar panels are placed between the tracks. Pro is there's already electricity infrastructure in place, and doesn't require additional space. 5K km of track in CH, theoretically fit for 2.5M solar panels.
https://web.archive.org/web/20250423134653/https://www.rijksoverheid.nl/documenten/publicaties/2025/04/22/het-overheidsbrede-standpunt-voor-de-inzet-van-generatieve-ai Rijksstandpunt genAI, mede gebaseerd op IEC advies IPO. Niettemin wordt het hier lijkt me behoorlijk vrij gegeven, en de formulering klinkt heel los. Gaat problemen opleveren, want een bmw die met genAI speelt bij het opstellen van een stuk het voor zichzelf als 'experiment' labelt of 'innovatie' heeft het voor zich daarmee gerationaliseerd. Never mind dat experimenten gecontroleerde omstandigheden vergen, en innovatie een gedeelde intentie moet hebben in de org. Dit voelt heel zacht aan, staan de juiste dingen in desondanks
[[When Will the GenAI Bubble Burst]]
575k books published yearly in EU. Contains several pointers to initiatives to foster literary diversity / multilingual approaches. [[Europa kracht in diversiteit 20060610163705]]
Schleswig-Holstein transitioned away from MS Office stuff to FOSS. Vgl [[Data Sovereignty is the Translation of Digital Ethics into Practice 20210819161920]]
Joe Wood keeps a 'vague' list of tasks that are equally important as other more tangible tasks but lack clarity about what steps to take. He added this within his GTD implementation. Interesting, as I notice I tend to put off important things when I don't have a clear path to execution yet (and the next action would be to think about those steps). I also think such vague actions may actually not be actions but projects lacking definition. It makes beginning harder, and keeping a vague list might help address it. I think I might use it as a tag in tasks, not as a separate list.
I do, however, still use a memory palace as a mnemonic device on most days. It’s a pretty short one — just the floors in my office building — but there’s only one place where I need to use it — the only place where I don’t have access to my todo list: Shower thoughts. I do some of my best thinking in the shower; the freedom from other distractions is probably a big part of it. Inevitably, I end up with a list of multiple, disconnected thoughts that I want to take action on: new ways to approach work I want to do, ideas for fun new projects, or things to look into. All of these end up feeling really important, so I cram them into my short-term memory and inevitably sprint out of the shower to go write them down somewhere more permanent.
Joe Woods in response to my posting asking about [[Wat wil ik onthouden mempalace 20250323081216]] says he uses #mempal for remembering thoughts that come to him in the shower. I recognise it as a place where no capturing can take place, and ideas do come. Intriguing application. I wonder how many places he has in his mem palace to store ideas like that.
https://web.archive.org/web/20250413154306/https://tailscale.com/ Tailscale allows your devices remote access to your local network, as a software defined network.
https://web.archive.org/web/20250413154154/https://blog.6nok.org/tailscale-is-pretty-useful/
Tailscale to access local network devices (found via Alper)
On defending federated projects / commons projects against EEE by corporations. Mentions XMPP as example of the danger, as well as SMTP (#openvraag waarom is SMTP een voorbeeld van corporate capture?) Mentions 3 defences: - Ensure that governance requires majority consensus in the network of stakeholders for protocol design adoptions (increases the cost of capture) - Ensure projects reside in an entity (foundation) independent of corporate funding (counter example would be Mozilla's financial management over the years, but valid point money w strings is always an issue). - Use contributor license agreements, so that output is owned by the project (meaning you can kick people out when needed. This is all at the project level. From a #netag perspective there's also something wrt how you deal with the social bounding of a group around a project. Author warns about corporate people participating without announcing they represent a corp. Also mentions that where corp contribs initially may be from aligned people, at any point they might be replaced by other corp people that don't have the same agenda as the person that initiated the contribs.
Two things: - the notion of 'harvest' i.e. both putting what you created into the world with yourself and acknowledging what you did/created, celebrate it in some way. Not what I do at all, I tend to switch to the next thing and forget about the previous. - the notion of seeing your daily practice as practicing (NB vgl [[Deliberate practice 20220715150100]] which is disregarded here, so the rote / routine parts of your daily work are swept up as part of practicing.), asking what it is you're practicing at becoming (as both in intentionally, and by how you get shaped by what you do, and contrasting them both for reflection). Sees the practicing as a type of harvest of point one.
This sounds like gratitude journaling, daily check-outs, interstitial journaling, and such but tied to [[% Interessevelden 20200523102304]]. Also sounds like [[Compound interest of habits 20200916065059]]
Multiple frequency-shift keying MSK as means for HF (shortwave) text transmission as it's robust in the face of noise, weak signals and fading.
https://web.archive.org/web/20250324061255/https://swradiogram.net/
This is the text-over-shortwave 'radiogram' mentioned in Vgl [[Ham amateur radio SWL 20201010070113]] Dorkweb
A proposal to revive short wave radio, esp to overcome splinternet and internet blocking conditions. Mentions radio transmitted text. Mentioning ham transceivers capable of this. Seems a suggestion, of which none of the parts currently are in place (not broadcasters, not equipment, not antennaparks (RNWO shut down their stuff in 2012, since then a tiny part goes on internet only), not receivers. Interesting though, re #2025/03/23 Ius Winterwandeling dinner conversation on SSB.
AI slop as brute forcing algorithmic timelines. Intended audience isn't people, but the algp's shoving stuff in timelines.
List of DNS resolvers other than Google -[ ] explore and pick a new default DNS resolver that is EU based. #webbeheer #15mins
In tech, we have four of these constraints, anti-enshittificatory sources of discipline that make products and services better, pay workers more, and keep executives’ and shareholders' wealth from growing at the expense of customers, suppliers and labor.
1) markets 2) regulation 3) interoperability 4) labor
And I think there's good news there, because if enshittification isn't the result of a new kind of evil person, or the great forces of history bearing down on the moment to turn everything to shit, but rather the result of specific policy choices, then we can reverse those policies, make better ones and emerge from the enshittocene, consigning the enshitternet to the scrapheap of history, a mere transitional state between the old, good internet, and a new, good internet.
enshittocene enshitternet bit too cute I think. Valid point: if it's policy that results in it, we can roll things back. Also w the current Trump chaos-admin there's opportunity as US is dismantling international agreements, making room for other nations / EU regs to disalign too.
I think we created a crimogenic environment, a perfect breeding pool for the most pathogenic practices in our society, that have therefore multiplied, dominating decision-making in our firms and states
'crimogenic', indeed, I think e.g. all current adtech is illegal in the EU, except it hasn't been tried in court much yet.
I believe that enshittification is caused by changes not to technology, but to the policy environment
[[Cory Doctorow]] exploring enshittification in a third talk. Says here it's enabled by changes in the policy environment rather than technology. This as tech platforms started doing it at the same time, not in the same phase of their existence.
Korean perspective on the shifting geopolitics wrt US shifting to explicit transactionalism/bullying. n:: Mentions 'like-mindedness' as principle, and Nordic/Netherlands as source of this term. First time I see it mentioned this directly as a guiding principle, though in practice this is reflexive here in NL (e.g. for JTC25 I also first approached DK for their take).
As I told the Washington Post, Musk is distorting and then weaponizing open spending data using social media, which Trump is then picking up and validating as “corruption.” This is what the Sunlight Foundation warned about in 2017, but on steroids. Authoritarian governments on the far-left (communism) and far-right (fascism) use weaponized transparency to intimidate civil society organizations and the press, create fear, uncertainty, and doubt, and cloud public understanding of public facts and policy outcomes. We defined weaponized transparency in 2017 as the use of data disclosure as a tool for division and public intimidation, rather than a means for achieving transparency and accountability. That holds up.In 2017, we observed that “the disclosures ordered by the Trump White House support a political and racial narrative advanced by an administration that has repeatedly dissembled about violence, fabricated narratives about vulnerable populations, and explicitly vowed to ban Muslims from entering the United States of America. Modern history has repeatedly demonstrated that vilifying vulnerable populations, racial minorities or minority religions has led to the worst chapters of our shared history.”This remains true.
Weaponized transparency, as defined by [[Alex Howard]] / Sunlight Foundation. Disclosure as tool for public intimidation and division, as opposed to transparency and accountability. It happened under the previous Trump admin, and now returns at a orders of magnitude larger scale.
[[Alex Howard]] on the current US wrecking of public governance. Such a blow against all his work the past 10-15yrs.
Dutch human rights monitor (https://www.mensenrechten.nl/) judges Meta discriminatory when showing job adverts to men and women Facebook users in NL.
'the cloud' i.e. 'ransomware of America'
Unsurprisingly US gov rails against EU digital/data legislation.
Blogger Jared White warns that LLMs coding output is as bland as its prose output and seem biased to some specific frameworks. #slop Horrifying example of people waiting on AI to catch-up with new versions of framework. That is really bad.
The same link means different things coming from different people. Knowing who’s recommending something adds context to a link:
[[Infostrat Filtering 20050928171301]] [[Je informatie is een expressie van je netwerk 20230904121816]] [[Wiens notie van informatie leid je interpretatie 20230905111913]] [[Optimal unfamiliarity 20040107122600]] [[Andermans tags zijn een maat van social distance 20200818124518]] [[Informatie overvloed 20051122162501]] [[Correlatie tussen netwerken en informatie 20230904121802]] [[Weblogs as community info filter 20041117122100]] [[Online sharing is signification of stories 20190614154934]] [[Andermans perceptie van significantie is mijn signaal 20190614154731]] #blogdit
Vgl [[On Tyranny by Timothy Snyder]] (2017 I think)
This outlines running githubcopilot like functions from my locl models, and making a copilot subscription superfluous
-[ ] explore using Continue as copilot replacement in VSCode and use local model thru LMstudio or ollama #webbeheer -[ ] cancel github copilot subscription #webbeheer #finance
Italian DPA bans DeepSeek after the Chinese company refused to provide GDPR related info. Pertaining to app, pd collection, contactpoint and transmission of data to outside the EU. In 2023 it did the same for a few weeks until OpenAI provided answers and point of contact. (And it fined OpenAI). Will other DPAs follow suit?
https://web.archive.org/web/20250127142842/https://www.internetconsultatie.nl/rtmswijziging/b1
internetconsultatie wetswijziging KNMI mbt markt/overheid. Uitbreiding en detaillering publieke taak 'alg weerbericht' en 'waarschuwingen'.
a wide range of critical gen AI bookmarks
improved book shelf sorting algorithms w randomness and some history-dependence thrown in. Vgl [[Poems That Solve Puzzles by Chris Bleakley]]
Chinese LLM spooking US based corps it seems. #openvraag why?
opsec / infosec tips around mobiles. Vgl re:publica [[Berlin 2014]]
Major Hockney exhibit in Paris Apr 9th-Sept 1st. We need to plan to be in Paris at some point before this summer then.
[[Cory Doctorow]] explaining the issue with Amazon in terms of racketeering and market dominance. Am in process of writing a post on moving my reading out of Amazon [[Amazon aankopen vermijden]]
'Strict Father Morality' (George Lakoff) as model to understand the MAGA Bigtech bromance. "a coherent, intersectional, organized system of supremacies.", and reactionary / authoritarian
He said Meta would “work with President Trump to push back on governments around the world that are going after American companies and pushing to censor more”.
This is the key statement. Increasingly Meta is pushed towards accountability, including inside the US. That push is bad for their business bc their core business model is founded on factors that can only keep 'growing' if there is no accountability.
He cited Europe as a place with “an ever-increasing number of laws institutionalising censorship and making it difficult to build anything innovative”
Meta's step is also a hedge against DSA fall-out. Whereas the current US gov was acting towards similar conditions removing contrast beween DSA en US regs, increasing the contrast allows Meta to be a victim. Using the word 'censorship' is a tell in itself, as that is not what the DSA does.
Angie Drobnic Holan, the director of the International Fact-Checking Network which certified the factcheckers used by Meta, denied factcheckers had been biased and said: “That attack line comes from those who feel they should be able to exaggerate and lie without rebuttal or contradiction.”
Yeah, moving moderation teams from California to Texas just signals from the right everything looks biased to the left, because everything is to their left, and you're adding bias to make it seem in line with where the US Overton window has steadily shifted to since 1980.
We are looking closely at Meta’s announcement impacting its US platform. The UK’s Online Safety Act will oblige them to remove illegal content and content harmful to children here in the UK, and we continue to urge social media companies to counter the spread of misinformation and disinformation hosted on their platforms.”
Meta might be running into UK OSA too. - [ ] zoek de UK online safety act op en vergelijk structuur met DSA #eudata #30mins
Meta/FB decision to remove factchecking likely puts it at odds with the EU DSA. Likely that's why the announcement includes 'starting in the US'. Clashes certain in EU.
The Hemming question after Richard Hamming math.: what are the most important questions in your field? And by extension how you could work on them. Notice the comments, and the link that is made there to EA / existential risks as it is on lesswrong.
male flight: when a environment becomes balanced m/f less men want to be in it.
Where in NL environments do we see parallels?
Sword identifies four cornerstones that anchor any successful writing practice: Behavioral habits of discipline and persistence; Artisanal habits of craftsmanship and care; Social habits of collegiality and collaboration; and Emotional habits of positivity and pleasure. Building on this “BASE,” she illuminates the emotional complexity of the writing process and exposes the lack of writing support typically available to early-career academics. She also lays to rest the myth that academics must produce safe, conventional prose or risk professional failure. The successful writers profiled here tell stories of intellectual passions indulged, disciplinary conventions subverted, and risk-taking rewarded. Grounded in empirical research and focused on sustainable change, Air & Light & Time & Space offers a customizable blueprint for refreshing personal habits and creating a collegial environment where all writers can flourish.
via Chris Aldrich h. annotations. Author posits succesful academic writing rest on behavioral, artisanal, social and emotional habits. That last part of this blurb suggest a connection to [[Personal Knowledge by Michael Polanyi]]'s point.
[[Moral Progress by Philip Kitcher]] reads, based on both their blurbs, like a continuation of [[The Ethical Project by Philip Kitcher]], exploring how actual ethical changes have occurred in time. Moves towards method rather than big-T truth (in line w social evolution perspective of the Ethical Project) and strengthens the pragmatism in pragmatic naturalism. 10yrs between the 2 books. Blurb mentions progressing away from something rather than to something, which chimes neatly with the evolutionary perspective of moving away from being hindered by a selective pressure. The attention to moral progress as method brings it closer to my notion of [[Ethics As A Practice (EaaP) 20200819161530]]
Philip Kitcher makes a provocative proposal: Instead of conceiving ethical commands as divine revelations or as the discoveries of brilliant thinkers, we should see our ethical practices as evolving over tens of thousands of years, as members of our species have worked out how to live together and prosper. Elaborating this radical new vision, Kitcher shows how the limited altruistic tendencies of our ancestors enabled a fragile social life, how our forebears learned to regulate their interactions with one another, and how human societies eventually grew into forms of previously unimaginable complexity. The most successful of the many millennia-old experiments in how to live, he contends, survive in our values today.
pushes virtue ethics and natural law ethics aside for a more evolutionary view of ethics enabling societal conviviality it seems. I sense a link to Dennett's culture as evolution and speeding up evolution, and to networked agency. Perhaps also the Latour's ANT? Link w the relational ethics in AI work C did?
Our human values, Kitcher shows, can be understood not as a final system but as a project-the ethical project-in which our species has engaged for most of its history, and which has been central to who we are.
The book title [[The Ethical Project by Philip Kitcher]] reflect the ongoing nature of our evolving human values. It is not a final system, but a collective project that continually defines our sociality and through it our humanity.
an approach he calls "pragmatic naturalism," Kitcher reveals the power of an evolving ethics built around a few core principles
Author calls it this ethics to make evolutionary social groupings work 'pragmatic naturalism'. I get those terms at first glance, but if the functioning of social structures is its aim, a term closer to relationships focused ethics, and evolution might be more telling, next to the clearly involved pragmatism. This term sounds closer to a fork of natural law ethics, which it doesn't seem to be, to indicate its early origins and evolutionary past. evolutionaryrelationalethics?
[[The Ethical Project by Philip Kitcher]] 2011/2012/2014?
Philip Kitcher, The Ethical Project This is a very substantial book which attempts to re-cast the nature and history of ethics as a form of "social technology", aimed at remedying "altruism failures", and generally moving humanity beyond the kind of social life endured by other primates — nasty, poor, and brutish, but not solitary. (Though he doesn't mention it, this is almost an inversion of Brecht's line "grub first, then ethics".) The guiding stars are Dewey (especially Human Nature and Conduct), John Stuart Mill (especially On Liberty and The Subjection of Women), and modern work on the evolution of cooperation. Kitcher builds from here to an examination of what counts as ethical progress, appropriate method and substance for meta-ethics, and appropriate method and recommendations for actual substantive ethics at the present day. The latter are strongly egalitarian, and not just founded on the "expanding circle" of empathy notion.
https://web.archive.org/web/20250103085440/http://bactra.org/weblog/algae-2011-11.html#kitcher
[[The Ethical Project by Philip Kitcher]] here said to posit ethics as 'social technology' as response to 'altruism failures' (?responses showing it was undeserved), allowing a diff social life as other primates / animal groups. An ethics for networked agency perhaps? http://www.columbia.edu/~psk16/
blog by Cosma Shalizi, saw it mentioned in 2007 Aaron Swartz interview https://blogoscoped.com/archive/2007-05-07-n78.html Started about same time as me, jan '03 in his case.
30 yrs worth of online notebooks by theme by Cosma Shalizi. Shalizi is an assoc prof of stats at Carnegie Mellon. https://en.wikipedia.org/wiki/Cosma_Shalizi Mentioned in Oct 2024 blogpost http://bactra.org/weblog/30-years-of-notebooks.html he started them in sept '94, based on a list of topics of interest he wrote out (orginally intended to use as filter for Usenet). Making such a list of topics is very commonplace like.
Daniel Wirtz writes about his note making, 'writing at the speed of thought', based off his interstitial journaliing as day log, w links/tags for finding things back similar to my mo, types/actions added. Objects used for things w more permanence, like I split off notes from my day log too. All that doesn't say 'at the speed of thought' to me however.
First review of the EDPB opinion on personal data in AI models by an Irish lawyer.
Opinion by EU Data Protection Board wrt personal data processing in AI models.
https://web.archive.org/web/20241214082330/https://www.datalandelijkgebied.nl/pages/over-ddf
Digitale Data Faciliteit DDF
De Digitale Data Faciliteit is een dienst van het Samenwerkingsverband van zes Rijksuitvoerings-organisaties (RUO’s), in opdracht van het Ministerie van Landbouw, Visserij, Voedselzekerheid en Natuur (LVVN). Samen ondersteunen we de provincies in hun regierol en andere decentrale overheden en gebiedspartners bij het opstellen en uitvoeren van gebied specifieke plannen. Deze zes RUO’s zijn: Kadaster Staatsbosbeheer Rijksvastgoedbedrijf Rijkswaterstaat Rijksdienst voor Cultureel Erfgoed Rijksdienst voor Ondernemend Nederland
Zes landelijke uitvoeringsorganisaties werken in DDF samen. Kadaster, Staatsbosbeheer, Rijksvastgoedbedrijf, Rijkswaterstaat, RCE, en RVO
De onzin van ons extreemrechtse kabinet over de niet bestaande asielcrisis.
This seems to describe the proposal akwardly, bc as is would run afoul of AI Act. I think it actually says: AI used in realtime to detect suspicious behaviour/movements. Then w human decision, follow a person specifically in vid streams, then recordings to fish out face to be compared w existing databases.
this is not the same as real time mass identification which is disallowd in AI Act. The detection is automated, id upon human decision later.
Also a mention of a faces dbase based on public online images for police to use.
Dominic system (after Dominic O'Brien is a Person-Action image association system for numbers in specific order. Uses it to turn two digit numbers into famous people. Also associates an action with a famous person, representing the same two digit number. Now you can imagine a 4 digit number as a person doing an action A mobile number would be 2 person action combinations in sequence. The upfront work is remembering the persons and actions as images for each of the 00-99 two digit numbers. Then putting a four digit number together requires putting them in sequence e.g. in a one of your preselected [[Memory palaces 20201007192310]], The act of remembering is constructing the images and placing them in the memory palace of choice.
There is also a Person-Action-Object system PAO, which allows you to do three pairs of digits in one image. Allowing 1 million numbers to remember.
Tim Ferris posting a text by Gabriel Wyner from 2014 on learning a new language in several steps 1) hear the novel sounds in the language and how to spell them 2) learn a list of basic words by connecting them to their image not their translatiojn 3) learn (simplified) grammar 4) continue the game (adding focused vocab, reading, listening speaking etc)
My book, Fluent Forever: How to learn any language fast and never forget it, is an in-depth journey into the language learning process, full of tips, guidelines and research into the most efficient methods for learning and retaining foreign languages.
[[Fluent Forever by Gabriel Wyner]] 2014. vgl [[7 talen in 7 dagen door Gaston Dorren]] which starts more with grammar and reading comprehension actually.
Fluency in speech is not the ability to know every word and grammatical formation in a language; it’s the ability to use whatever words and grammar you know to say whatever’s on your mind. When you go to a pharmacy and ask for “That thing you swallow to make your head not have so much pain,” or “The medicine that makes my nose stop dripping water” – THAT is fluency. As soon as you can deftly dance around the words you don’t know, you are effectively fluent in your target language. This turns out to be a learned skill, and you practice it in only one situation: When you try to say something, you don’t know the words to say it, and you force yourself to say it in your target language anyways. If you want to build fluency as efficiently as possible, put yourself in situations that are challenging, situations in which you don’t know the words you need. And every time that happens, stay in your target language no matter what.
speaking fluency comes from staying in the target language.
Podcasts and radio broadcasts are usually too hard for an intermediate learner. Movies, too, can be frustrating, because you may not understand what’s going on
suggests podcasts, movies, and radio are too hard to follow at intermediate level.
Reading: Books boost your vocabulary whether or not you stop every 10 seconds to look up a word. So instead of torturously plodding through some famous piece of literature with a dictionary, do this: Find a book in a genre that you actually like (The Harry Potter translations are reliably great!) Find and read a chapter-by-chapter summary of it in your target language (you’ll often find them on Wikipedia). This is where you can look up and make flashcards for some key words, if you’d like. Find an audiobook for your book. Listen to that audiobook while reading along, and don’t stop, even when you don’t understand everything. The audiobook will help push you through, you’ll have read an entire book, and you’ll find that it was downright pleasurable by the end.
Reading to deepen understanding suggests any book and go through, find online chapter summaries in target langauge, listen to audiobook while reading it, as it forces you along.
Vocabulary Customization: Learning the top 1000 words in your target language is a slam-dunk in terms of efficiency, but what about the next thousand words? And the thousand after that? When do frequency lists stop paying dividends? Generally, I’d suggest stopping somewhere between word #1000 and word #2000. At that point, you’ll get better gains by customizing. What do you want your language to do? If you want to order food at a restaurant, learn food vocabulary. If you plan to go to a foreign university, learn academic vocabulary
Adding to vocabulary has diminishing returns if you go by freq of usage after 1k-2k words. Use thematic lists for your purposes. E.g. [[% Interessevelden 20200523102304]] as starting point. Then go back to the flashcards w images used before. I can see building sets like these.
Stage 4: The Language Game 3 Months (or as long as you want to keep playing)
Stage 4 is the deepening / getting to fluency bit. Reinforced by actual usage. Either through adding more vocab, reading texts, listening to speakers etc.
On its surface, Google Images is a humble image search engine. But hiding beneath that surface is a language-learning goldmine: billions of illustrated example sentences, which are both searchable and machine translatable
Suggest that google image headlines are a good source of additional example sentences for grammar learning, as it includes machine translation in the search results on mouse over. Grabs those sentences for flash cards. I think the time used to make the cards may well be the key intervention.
How do you learn all the complicated bits of “My homework was eaten by my dog”? Simple: Use the explanations and translations in your grammar book to understand what a sentence means, and then use flashcards to memorize that sentence’s component parts, like this:
Suggests making flashcards for each of the three types of changes, in any given example. allows speeding up compared to the book, as you do them w visuals on flash cards, and the spaced rep takes out most examples in a grammar book, leaving you with the repetition you need only.
n every single language, grammar is conveyed using some combination of three basic operations: grammar adds words (You like it -> Do you like it?), it changes existing words (I eat it -> I ate it), or it changes the order of those words (This is nice -> Is this nice?). That’s it. It’s all we can do. And that lets us break sentences down into grammatical chunks that are very easy to memorize.
Boils grammar down to adding words, changing existing words, changing the order of words. Allows [[Chunking 20210312215715]] that makes it easier to memorise.
2-3 months Now it’s time to crack open your grammar book. And when you do, you’ll notice some interesting things: First, you’ll find that you’ve built a rock-solid foundation in the spelling and pronunciation system of your language. You won’t even need to think about spelling anymore, which will allow you to focus exclusively on the grammar. Second, you’ll find that you already know most of the words in your textbook’s example sentences. You learned the most frequent words in Stage 2, after all. All you need to do now is discover how your language puts those words together.
3rd stage is the grammar. Suggests using a book, but with the advantage of already knowing the words and spelling of any examples, allowing focus on the grammar. Takes 2-3 months.
To begin any language, I suggest starting with the most common, concrete words,
Suggestion to start learning words with a basic list. Author compiled a list of 625. See [[A Base Vocabulary List for Any Language 20241208160954]]
Suggests the basic list takes about 1-2 months
These are words that are common in every language and can be learned using pictures, rather than translations: words like dog, ball, to eat, red, to jump. Your goal is two-fold: first, when you learn these words, you’re reinforcing the sound and spelling foundation you built in the first stage, and second, you’re learning to think in your target language.
Use flashcards with images to learn words in a new language. Skip the translation part. Also reinforces the visual/spatial brain connection. Search images in the target language not with the translation, so subtle diffs in meaning are maintained.
Spelling is the easiest part of this process. Nearly every grammar book comes with a list of example words for every spelling. Take that list and make flashcards to learn the spelling system of your language, using pictures and native speaker recordings to make those example words easier to remember.
To learn spelling find a grammar book that has lists of examples. Turn those into flashcards for spelling.
Flashcards are the primary mnemonic tactic in this article.
This gives you a few super powers: your well-trained ears will give your listening comprehension a huge boost from the start, and your mouth will be producing accurate sounds. By doing this in the beginning, you’re going to save yourself a great deal of time, since you won’t have to unlearn bad pronunciation habits later on. You’ll find that native speakers will actually speak with you in their language, rather than switching to English at the earliest opportunity.
Hearing and pronunciation tackled upfront makes you sound more fluent. Prevents the effect of never getting a chance to use it bc others switch to your language.
Once your ears begin to cooperate, mastering pronunciation becomes a lot easier.
listening precedes pronouncing. Vgl how I 'suddenly' heard the begin and end of words in Vorarlbergerisch and then quickly learned to speak it too.
to rewire your ears to hear new sounds, you need to find pairs of similar sounds, listen to one of them at random (“tyuk!”), guess which one you thought you heard (“Was it ‘gyuk’?”), and get immediate feedback as to whether you were right (“Nope! It was tyuk!”). When you go through this cycle, your ears adapt, and the foreign sounds of a new language will rapidly become familiar and recognizable.
this sounds like an impossible step if you are indeed foreign to a language. How would you ever find such pairings? The vid doesn't say other than describe a feedback system to learn to hear new nuances. I think perhaps using DeepL or some such to read texts to me would help.
If I had rushed ahead and started learning words and grammar immediately, I’d have been at a severe disadvantage whenever I learned words with those letter combinations, because I’d be missing the sound connection when trying to build memories for those words
being familiar with the sound of pronunciation will help better memorise the words later. Adding a sense to the memory. Vgl [[Fenomenologie Husserl 20200924110518]]
Spelling and Sound: Learn how to hear, produce and spell the sounds of your target language
Create a foundation for spelling and sounds, to get a feel/sense of it, making it less 'other'.
Vid of learning to hear diff in novel sounds in foreign language you can't easily tell apart. Find them in a language. Have a script play them to you randomly and choose an answer. Feedback will bring you up from random to about 80% being right. Rewiring your brain to hear the differences. I bet non-anglo speakers wiill find this easier as they are never accomodated outside their own country.
https://web.archive.org/web/20241207143328/https://artofmemory.com/ Art of memory community platform.
The Romanian Presidency has released declassified material looking at the social media role in the unexpected presidential election outcome.
Nesrine Malik on changes in the Arab world, pointing to how across the region cultural heritage is disappearing and destroyed. A wider pattern underneath the headlines of late, that has been in place for decades.
I have [[We Need New Stories by Nesrine Malik]] picked up fr Sh&co in [[Paris 2021]].
https://web.archive.org/web/20241202062809/https://modelcontextprotocol.io/introduction
Anthropic's Model Context Protocol MCP documentation. Includes basic server exercises. The spec doesn't say much at first glance about how resources would actually be connected to a MCP server to serve as context.
https://web.archive.org/web/20241202062707/https://github.com/modelcontextprotocol
Github repositories for MCP by Anthropic. MIT Licences at first glance.
Anthropic proposes 'Model Context Protocol' MCP on how to connect local/external info sources to LLMs and agents, as a standard. To make ai tools more context aware. Article says MCP is open source. Idea is to attach a MCP server to every source and have that interact over MCP with the MCP client attached to a model and/or tools.
Anthropic is the org of Claude model.
Reinforces the communal nature of knowledge workAll ideas are in communication with and informed by others, regardless of whether we work in direct collaboration with others. A collaborative zettelkasten not only shows this in real time, but allows participants to actively engage with a collective web of insight.
This is key imo. The link between personal knowledge and communal K. In context of TGL it also means fleshing out the purpose, identity and intent of our work. A step to and in support of [[Networked Agency 20160818213155]] , here the functioning as a company Can I express this to the team?
This is a benefit that Doto does not express (because he stays within the context of ZK, and this one becomes apparent if you look at the ZK in the context of the group of collab. Any non-random and pre-existing group will find theur benefit in that context, rather than in the instrument's built-in affordances. tech+issue=value.
Once the ideas have been organized in a way that makes sense, the real writing begins. Bring the ideas and any useful comments into a new writing doc. Decide on who will do what, taking into consideration each participant's strength.
In TGL this would the diff domain teams and project teams, putting stuff to their own purpose.
simply make note of the connection, state why you've done so, and move on to the next note. No consultation between participants is required.
Agreed, but indeed any connection must be annotated, to be understood by collab partners. Counterexample is the usually meaningless linking in Wikipedia.
A Collaborative Zettelkasten for Collaborative Output
Vgl landscapes, IEC writing projects, deskresearch/essays in general.
Working with the Collaborative Network of Ideas
For me the purpose of a collab zk would need to be aligned to what drives the collaborators. E.g. how I tie pkm to individual professional activism and autonomy, and extended/aggregated to teamkm it drives the core value of constructive activism of my company, and how we use [[Systems convening denken Wenger Trayner 20230914131102]] to translate that into interventions and desirable client projects. Vgl [[PKM systems convening activisme relatie 20241123085857]] expressing that connection.
Participants may or may not have a common output, goal, or project in mind when they start. The only requirements are: all participants add to the collection of main notes all participants establish connections between ideas all participants are free to pull from the zettelkasten for their writing projects
This describes a wiki too. What difference? Wiki tends to follow the Wikipedia model perhaps, aiming for completeness / definitive state? Wikipedia is not atomic in the ZK sense. Also public wiki's (the ones one is by def aware of) are an output themselves. My internal wiki 2004-2012 was much more atomic and not an output but an instrument. So if wiki then more of the instrument style, iow ZK by another name. A collective network of meaning and sense making
LM Studio can run LLMs locally (I have llama and phi installed). It also has an API over a localhost webserver. I use that API to make llama available in Obsidian using the Copilot plugin.
This is the API documentation. #openvraag other scripts / [[Persoonlijke tools 20200619203600]] I can use this in?
https://web.archive.org/web/20241201071240/https://www.dreamsongs.com/WorseIsBetter.html
Richard P Gabriel documents the history behind 'worse is better' a talk he held in Cambridge in #1989/ The role of LISP in the then AI wave stands out to me. And the emergence of C++ on Unix and OOP. I remember doing a study project (~91) w Andre en Martin in C++ v2 because we realised w OOP it would be easier to solve and the teacher thought it would be harder for us to use a diff language.
via via via Chris Aldrich in h. to Christian Tietze, https://forum.zettelkasten.de/discussion/comment/22075/#Comment_22075 to Christine Lemmer-Webber https://dustycloud.org/blog/how-decentralized-is-bluesky/ to here.
-[ ] find overv of AI history waves and what tech / languages drove them at the time
But perhaps that's too ambitious to suggest taking on for either camp. And maybe it doesn't matter insofar as the real lessons of Worse is Better is that both first mover advantage on a quicker and popular solution outpaces the ability to deliver a more correct and robust position, and entrenches the less ideal system. It can be really challenging for a system that is in place to change itself from its present position, which is a bit depressing.
Succinct description of worse is better
The 'worse' bit moves you along in the adjacent possible paths of the [[Evolutionair vlak van mogelijkheden 20200826185412]], where as the 'better' bit puts you at a peak in the evol landscape from which you can't move and hard to get to for others.
via via Chris Aldrich in h. pointing to Christian Tietze comment https://forum.zettelkasten.de/discussion/comment/22075/#Comment_22075 pointing to this Christine Lemmer-Webber post, following it onwards to https://www.dreamsongs.com/WorseIsBetter.html by Richard P. Gabriel
https://web.archive.org/web/20241130143502/https://writing.bobdoto.computer/how-a-collaborative-zettelkasten-might-work-a-modest-proposal/ [[Bob Doto]] proposes a collab note collection. The collab is that multiple people add notes, connections, in parallel to their own. Collab is both using it as resource individually and in writing collectively. Read again, think about SC and essay machine contexts for TGL. We already have shared vaults, but no process. Add instructions to Geheugen and link in Notes? Via [[Chris Aldrich]] h.
https://web.archive.org/web/20241130094952/https://annehelen.substack.com/p/the-kids-are-too-soft
'the kids are too soft'. on shifting perceptions of gens, point out the obvious lack of attention to cause and effect. walking barefoot to school in the snow etc etc as if it's a sine quae non. Reminds me of a Gulag discussion, what doesn't kill you makes you harder, is actually the other way around. The hardest going survive, and more might have in conditions had been better. We see more people survive and mistake it for lack of selection and rigour, where it's the lifting of more if not all boats.
https://web.archive.org/web/20241130094714/https://dougaldlamont.substack.com/p/if-mmt-is-wrong-why-is-it-so-much On Modern Monetary Theory.
Vgl [[%Money geld OP]]
Vgl Sunnekloas Ameland
those with a card index or zettelkasten-based reading and note making practice will realize that they’re probably automatically following the advice
Note making does create space for reflection, is the thinking. But even before notes, annotation does too.
n:: notes as thinking vgl 'writing is thinking' annotation as thinking vs conversation, conversation as thinking through expression
followed by a mention that no one does this with the implication that information overload and the pressures of time don’t allow this.
I only feel such overload if I don't pause to reflect and merely keep taking stuff in. [[Information overload 20040327145709]] [[Info overload of overvloed verschil is surprisal 20220810090704]] Information value is not determined by the sender but by the receiver. If I don't pause the firehose just isn't information. It takes me as an observer to collapse noise into information in one's personal reality.
Conkin admonished students that for every hour they spend reading, they should spend an hour in reflection.
Paul Conkin 1929-2022 no wikipedia page, US historian suggested to graduate students to spend an hour reflecting for every hour read. Anecdotal quote from David Blight lecture (link to vid in post). There is a point here, wrt to keeping one's own pace and intent behind attention. [[Attention literacy and the value of slow learning 20211209063437]] [[Stuur aandacht met intentie 20220213080032]]
On AI Agents, open source tools. Vgl [[small band AI personal assistant]] these tools need to be small and personal. Not platformed, but local.
Meta's next step in their malicious compliance with GDPR/DMA is making less-tracking (not non, still DOB and location used) ads more annoying than tracking ones. Another round of delaying tactics to clearly spelled out legal reqs: no perceptible diff in service allowed.
https://web.archive.org/web/20241127105840/https://www.wrecka.ge/against-the-dark-forest/
This looks very interesting to read (via [[Stephen Downes]]). Any link w Maggie Appleton's dark forest metaphor use [[The Expanding Dark Forest and Generative AI]]? Seems to settle on [[People Centered Navigation 20060930163901]] in the end?
Open Future report on exclusivity clauses in the ODD, and the Google book scanning projects. This text seems to say exclusivity clauses are regulated since the latest incarnation of the ODD, but in fact they have been in place since the very first PSI Directive 2003, and steadily tightened in 2010, 2019, as well as in the DGA. Is the report more nuanced? Report in Zotero
data center usage of water and electricity for cooling are inversely connected. Either huge amounts of water, or huge amounts of electricity. Beware if plans are focused on just one of the two.
2021 paper looking at data governance legal frameworks globally in 80 countries, EU and USA are absent (Estonia, UK included though), and lumps Europe and Central Asia together, which leads to phrases like 'UK and Estonia have this, but elsewhere in the region Kyrgyzstan hasn't' so the region is mediocre at best. Apples/pears. Mentions GDPR more or less as the single EU framework here, despite the 2018 free flow of non-personal data regulation which became applicable in May 2019. (others within the EU Data Strategy / single market for data had been announced or proposed by 2021 but not in place and aren't mentioned here either.)
WeTransform compares different but similar (D, DK, NL) approaches to adding HVD metadata for harvesting and discovery.
Signal allows you to set usernames. They are unique but temporary (and you can have only 1 at a time). User names can be used to connect to you without sharing your phone number. Set an optional username in Settings Profile. They have two numbers at the end (you can set them).
User names can be shared in three ways: - tell someone (and then change it so they cannot communicate it further) - share a QR code - share a unique URL (which does not contain your username in clear text)
Signal can't 'easily' see which phone number has which username. But given a username it can find the associated phonenumber. 'easily' means it can be done though, and thus both ways.
An old username will become available to others after a week, meaning imo they should not contain any identifiable or associative information.
Found this through someone suggesting that sharing your Signal username through Mastodon would allow private msgs. Yes, but the world will know your username, so you're open to all people who might think it fun to msg you.
Stafford Beer coined and frequently used the term POSIWID (the purpose of a system is what it does) to refer to the commonly observed phenomenon that the de facto purpose of a system is often at odds with its official purpose
the purpose of a system is a what it does, POSIWID, Stafford Beer 2001. Used a starting point for understanding a system as opposed to intention, bias in expectations, moral judgment, and lacking context knowledge.
I’ve come to feel like human-centered design (HCD) and the overarching project of HCI has reached a state of abject failure. Maybe it’s been there for a while, but I think the field’s inability to rise forcefully to the ascent of large language models and the pervasive use of chatbots as panaceas to every conceivable problem is uncharitably illustrative of its current state.
HCI and HCD as fields have failed to respond to LLM tools and chatbot interfaces a generic solution to everything forcefully.
hegemonic algorithmic systems (namely large language models and similar machine learning systems), and the overwhelming power of capital pushing these technologies on us
author calls LLMs and similar AI tools hegemonic, worsened by capital influx
gravitating away from the discourse of measuring and fixing unfair algorithmic systems, or making them more transparent, or accountable. Instead, I’m finding myself fixated on articulating the moral case for sabotaging, circumventing, and destroying “AI”, machine learning systems, and their surrounding political projects as valid responses to harm
Author moved from mitigating harm of algo systems to the moral standpoint that actively resisting, sabotaging, ending AI with attached political projects are valid reaction to harm. So he's moving from monster adaptation / cultural category adaptation to monster slaying cf [[Monstertheorie 20030725114320]]. I empathise but also wonder, bc of the mention of the political projects / structures attached, about polarisation in response to monster embracers (there are plenty) shifting the [[Overton window 20201024155353]] towards them.
https://web.archive.org/web/20241116074149/https://ali-alkhatib.com/blog/fuck-up-ai Ali Alkhatib (anthropology/informatics academic, QS and HCI) #2024/06/24 call for active resistance against AI / ML
On AI agents, and the engineering to get one going. A few things stand out at first glance: frames it as the next hype (Vgl plateau in model dev), says it's for personal tools (doesn't square w hype which vc-fuelled, personal tools not of interest to them), and mentions a few personal use cases. e.g. automation, vgl [[Open Geodag 20241107100937]] Ed Parsons of Google AI on the same topic.
https://web.archive.org/web/20241115134320/https://garymarcus.substack.com/p/confirmed-llms-have-indeed-reached?triedRedirect=true Gary Marcus in a told-you-so piece on algogens hitting a development wall, same as the other piece by Erik Hoel on models plateauing.
https://web.archive.org/web/20241115134446/https://www.theintrinsicperspective.com/p/ai-progress-has-plateaued-at-gpt Erik Hoel notices that LLM development is stalling at the GPT-4 level. No big jumps in recent releases, across the various vendors. Additional scaling is not bringing results. Notice the graph, might be interesting to see an update in a few months. Mentions overfitting, to benchmarks as in teaching to a specific test.
Counternarrative to rural-urban divide in US politics, says data suggests it was city dwellers not showing up for Harris that tipped the balance. Main point Trump got about the same popular vote numbers but where Biden got 81M in 2020, Harris got just under 72M losing the popular vote. The diff is in core metropolitan counties in swing states.
defaults write com.apple.mail DisableInlineAttachmentViewing -boolean yes
This worked for me. I had to switch to Apple Mail a few months ago and it is extremely annoying that if you add small attachments it will preview inline. And at times even resizes them for that, and sends only the smaller version.
A great collection of sources on tools for thought, by the looks of it by [[Chris Aldrich]] Books, texts and more.
these teammates
Like MS Teams is your teammate, like your accounting software is your teammate. Do they call their own Atlassian tools teammates too? Do these people at Atlassian get out much? Or don't they realise that the other handles in their Slack channel represent people not just other bits of software? Remote work led to dehumanizing co-workers? How else to come up with this wording? Nothing makes you sound more human like talking about 'deploying' teammates. My money is on this article was mostly generated. Reverse-Turing says it's up to them to say otherwise.
There’s a lot to be said for the promise that AI agents bring to organizations.
And as usual in these articles the truth is at the end, it's again just promises.
People should always be at the center of an AI application, and agents are no different
At the center of an AI application, like what, mechanical Turks?
Don’t – remove the human aspect
After a section celebrating examples doing just that!
As various agents start to take care of routine tasks, provide real-time insights, create first drafts, and more, team members can focus on more meaningful interactions, collaboration,
This sentence preceded by 2 examples where interactions and collaboration were delegated to bots to hand-out generated warm feelings, does not convey much positive about Atlassian. This basically says that a lot of human interaction in the or is seen as meaningless, and please go do that with a bot, not a colleague. Did their branding ai-agent write this?
gents can also help build team morale by highlighting team members' contributions and encouraging colleagues to celebrate achievements through suggested notes
Like Linked-In wants you to congratulate people on their work-anniversary?
One of my favorite use cases for agents is related to team culture. Agents can be a great onboarding buddy — getting new team members up to speed by providing them with key information, resources, and introductions to team members.
Welcome in our company, you'll meet your first human colleague after you've interacted with our onboarding-robot for a week. No thanks.
inviting a new AI agent to join your team in service of your shared goa
anthropomorphing should be in this article's don't list. 'inviting someone on your team' is a highly social thing. Bringing in a software tool is a different thing.
One of our most popular agent use cases for a while was during our yearly performance reviews a few months back. People pointed an agent to our growth profiles and had it help them reframe their self-reflections to better align with career development goals and expectations. This was a simple agent to create an application that helped a wide range of Atlassians with something of high value to them.
An AI agent to help you speak corporate better, because no one actually writes/reflects/talks that way themselves. How did the receivers of these reports perceive this change in reports? Did they think it was better Q, or did all reflections now read the same?
Start by practising and experimenting with the basics, like small, repetitive tasks. This is often a great mix of value (time saved for you) and likely success (hard for the agent to screw up). For example, converting a simple list of topics into an agenda is one step of preparing for a meeting, but it's tedious and something that you can enlist an agent to do right away
Low end tasks for agents don't really need AI do they. Vgl Ed Parsons last week wrt automation as AI focus.
For instance, a 'Comms Crafter' agent is specialized in all things content, from blogs to press releases, and is designed to adhere to specific brand guidelines. A 'Decision Director' agent helps teams arrive at effective decisions faster by offering expertise on our specific decision-making framework. In fact, in less than six months, we’ve already created over 500 specialized agents internally.
This does not fully chime with my own perception of (AI) agents. At least the titles don't. The tails of descriptions 'trained to adhere to brand guidelines' and 'expertise in internal decision-making framework' makes more sense. I suppose I also rail against this being the org's agents, and don't seem to be the team's / pro's agents. Vibes of having an automated political officer in your unit. -[ ] explore nature and examples of AI agents better for within individual pro scope #ontwikkelingspelen #netag #30mins #4hr
from 2024/01 by Adam Mastroianni
I've been down there enough times to see the same patterns repeat, and sometimes I can even interrupt them. That's why having goofy names for them matters so much, because it reminds me not to believe the biggest bog lie of all: that I'm stuck in a situation unlike any I, or anyone else, has ever seen before
Giving repeating neg patterns wrt procrastination / not getting into action, a silly name helps in defeating the pattern (rather than beating yourself up over it I suppose).
Decolonizing AI is a multilayered endeavor, requiring a reaction against the philosophy of ‘universal computing’—an approach that is broad, universalistic, and often overrides the local. We must counteract this with varied and localized approaches, focusing on labor, ecological impact, bodies and embodiment, feminist frameworks of consent, and the inherent violence of the digital divide. This holistic thinking should connect the military use of AI-powered technologies with their seemingly innocent, everyday applications in apps and platforms. By exploring and unveiling the inner bond between these uses, we can understand how the normalization of day-to-day AI applications sometimes legitimizes more extreme and military employment of these technologies.There are normalized paths and routine ways to violence embedded in the very infrastructure of AI, such as the way prompts (text inputs, N.d.R.) are rendered into actual imagery. This process can contribute to dehumanizing people, making them legitimate targets by rendering them invisible.
Ameera Kawash (artist, researcher) def of decolonizing AI.
Exolabs.net experiment running large LLMs locally on 4 combined Mac Mini's. Links to preview and github shared code. For 6600-9360 you can run a cluster of 4 Minis locally. Affordable for SME outfits.
https://web.archive.org/web/20241112122725/https://lexfridman.com/dario-amodei-transcript
Transcript of 5+ hrs (!) of Dario Amodei (CEO Anthropic) talking about AI, AGI and more. Lots to go through it seems. Vgl [[My Last Five Years of Work]] by Amodei's 'chief of staff' whatever that means wrt a CEO other than sounding grandiose.
Please note that the transcript is human generated, and may have errors.
Ha, rather than "Please note that the transcript is machine generated and is certain to contain errors".
I'm tempted to run this transcript through Claude for summaries and structure. See how that works.
That development time acceleration of 4 days down to 20 minutes… that’s equivalent to about 10 years of Moore’s Law cycles. That is, using generative AI like this is equivalent to computers getting 10 years better overnight. That was a real eye-opening framing for me. AI isn’t magical, it’s not sentient, it’s not the end of the world nor our saviour; we don’t need to endlessly debate “intelligence” or “reasoning.” It’s just that… computers got 10 years better.
To [[Matt Webb]] the project using GPT3 extracting data from web pages saved him 4d of work (compared to 20 mins coding up the GPT-3 instructions, and ignoring GPT-3 then ran overnight). Saying that's about 10yrs of Moore's law happening to him all at once. 'computers got 10yrs better' an enticing thought and framing. It depends on the use case probably, others will lose 10 yrs of their time making sense of generated nonsense. (Vgl the #pke24 experiments I did w text generation, none of it was usable bc enough was wrong to not be able to trust anything). Sticking to specific niches probably true : [[Waar AI al redelijk goed in is 20201226155259]], turning the issue into the time needed to spot those niches for yourself.
I was one of the first people to use gen-AI for data extraction instead of chatbots
[[Matt Webb]] used gpt-3 in Feb 23 to extract data from a bunch of webpages. Suggests it's the kernel for programmatic AI idea among SV hackers. Vgl Google AI [[Ed Parsons]] at [[Open Geodag 20241107100937^aiunstructdata]] last week where he mentioned using AI to turn unstructured (geo) data into structured. Page found via [[Frank Meeuwsen]] https://frankmeeuwsen.com/2024/11/11/vertragen-en-verdiepen.html
overview of European alternatives for digital products. Not in all relevant categories (payments e.g.) but some novel providers in there.
Explore wrt [[Infosec ladder van techniek en gedrag 20190530190335]] in context TGL.
On covid and long term impact on cognition
Vgl [[Wayfinding by Michael Bond]]
Good and interesting points by Baldur Bjarnason. With arsonists in our own gov, and full blown fascists making a US clean sweep of all branches of gov, relevant q's. Vgl [[Mijn werk is politiek 20190921114750]] mbt tech en TGL. Wat haal ik hier uit? -[ ] lees dit in detail, maak vergelijking met mijn huidige werkzaamheden langs zelfde lijnen.
Map of the exact location of the Berlin wall, plotted on a current map of streets and buildings. Useful in pinpointing exact locations of images have from my trip in 1987.
Hedgedoc is a collaborative markdown tool. Handig voor team mbt samen Obsidian notes bewerken. Kan op yunohost, al wordt een issue/dependency met chromium genoemd in 2023 wv onduidelijk is of het is opgelost.
-[ ] doe een testinstallatie v Hedgedoc op Yunohost #webbeheer #tgl
Spanish immigration minister diff tone than other EU MS / Meloni.
A knower does not stand apart from the universe, but participates personally within it. Our intellectual skills are driven by passionate commitments that motivate discovery and validation. According to Polanyi, a great scientist not only identifies patterns, but also significant questions likely to lead to a successful resolution. Innovators risk their reputation by committing to a hypothesis.
Knower / observer not separate from the universe, not outside the system boundary Vgl [[Systems convening landscape als macroscope 20230906115130]] where the convener is integral part of it too, not an external change agent.
Daniel Clement Dennett (Boston (Massachusetts), 28 maart 1942 – Portland (Maine), 19 april 2024) was een Amerikaanse filosoof die gespecialiseerd was in vraagstukken betreffende het bewustzijn, de filosofie van de geest en kunstmatige intelligentie.
Hadn't realised Daniel Dennett died last April. I read his The Mind's I (1981), Consciousness Explained (1991) and Darwin's Dangerous Idea (1995) while at university, those last two as they appeared. Have Elbow Room (1984) on the reading stack currently.
For a long time, I thought of HTML as a tool for publishing on the web, a way to create websites that other people can look at. But all these websites I’m creating are my local, personal archives – just for me. I’m surprised it took me this long to realise HTML isn’t just for sharing on the web.
Yes. I use lots of small local html/php pages. Also webforms to search websites elsewhere, without going there. I had local pages to browse local image files in the 90s. I started writing html by hand in '93 and still do for local stuff. I do use a local on-device webserver though, as I include php.
https://web.archive.org/web/20241017043750/https://alexwlchan.net/2024/static-websites/
I like this idea of having static html as page to explore folders, I had that in the 90s to better search for image files. Author offers no clues as to how he uses the affordance it provides though, in terms of 'showing the metadata' they care for and the little bits of extra functionality. And I wonder about the effort involved when adding new files. Presumably new files are added manually too, otherwise it's not 'static html'. Stores files by year, type and first letter of file name. That makes no immediate sense to me in terms of finding things back. Then again I never understood why you would have folders for file types. It's like sorting items on the type of box it came in. Good example though of making your computer your own.
Avital Balwit lives in San Francisco and works as Chief of Staff to the CEO at Anthropic
CoS to a CEO is what? It all reads like your typical mid-20s arrogance before finding out you don't actually know all, mistaking a hunch/'vision' for reality.
Anthropic is the outfit that made the Claude model.
doing more than fairly basic math
another apples/oranges. We have software that is good at math. Regular people call them spreadsheets. What we don't have, also not in algogens is software that understands what it is they're doing. My model can do sums is not a useful comparison wrt if it can do cognitive tasks.
the widespread deployment of robotics
another over the horizon precondition for author's premise to happen mentioned here. Notices that robots are bound to laws of nature, and thus develop slower than software environs but doesn't notice same is true for AI. The diff is that those laws of nature show themselves in every robot, but for AI get magicked out of sight in data centers etc, although they still apply.
Essentially anything that a remote worker can do, AI will do better
Weird notion of remote work as only screen interaction. My team works remote, meaning they think independent from any screen tasks.
Machine learning is a young field,
? young? Author is in their 20s, case of 'my first encounter with something means it is globally new'?
I expect AI to get much better than it is today. Research on AI systems has shown that they predictably improve given better algorithms, more and better quality data, and more computational power. Labs are in the process of further scaling up their clusters—the groupings of computers that the algorithms run on.
Ah, article based on assumption of future improvement. compute and data are limiting factors, and you will end up making the equation if compute footprint is more efficient than doing it yourself. Data even more limiting, as the most meaningful stuff is qualitative rather than quantitative, and stats on the Q stuff won't give you meaning (LLMs case in point)
The shared goal of the field of artificial intelligence is to create a system that can do anything. I expect us to soon reach it.
Is it though? Wrt GAI that is as far away as before imo. The rainbow never gets nearer, because it is dependent on your position.
The economically and politically relevant comparison on most tasks is not whether the language model is better than the best human, it is whether they are better than the human who would otherwise do that task
True, and that is where this fails outside of bullshit tasks. The unmentioned assumption here is that algogen output can have meaning, rather than just coherence and plausibility.
The general reaction to language models among knowledge workers is one of denial.
equates 'content production' w k-work
my ability to write large amounts of content quickly
right. 'content production' where the actual meaning isn't relevant?
it can competently generate cogent content on a wide range of topics. It can summarize and analyze texts passably well
cogent content / passably well isn't the quality benchmark for K-work though.
Sightful h1 2025 launch on Win via John Philpin https://john.philpin.com/2024/10/12/spatial-computing-has.html
every image change in the page moves focus from this form to page. Irritating
https://web.archive.org/web/20241012060204/https://www.felicis.com/insight/the-agent-economy
for the image listing various AI 'agent' services. Some seem dubious as example, and not agents but generally 'ai tools'. -[ ] maak lijst v voorbeelden uit illustratie [[241012Felicislijstaiagentscorps.png]] #15mins mbt acties/sectoren die interessant lijken. Now an agent for that task....
an AI-first outsourced contact center
so much wrong with that phrase and a tell for how these corps view this tech. let's have your customers talk to machines.
imperfect tools for low-stakes tasks.
seems that way, and to mostly remain that way. I'd be curious to incorporate agents in my tasks ([[Aazai CL]] list of such tasks)
also burying the lede much, this is the key verdict and it's in the penultimate paragraph?
For now, the concept seems to be mostly siloed in enterprise software stacks, not products for consumers.
Real agents would start at the individual level. It all smacks so much of corps automating away their own direct interaction with customers, bc they're a pain to talk to. Blind, see gripes of existing silo customers about the impossibility getting to talk to someone
a customer service agent
almost by def asymmetric, leaving customers to talk to a blind wall.
The gap between promise and reality also creates a compelling hype cycle that fuels funding
The gap is a constant I suspect. In the tech itself, since my EE days, and in people's expectations. Vgl [[Gap tussen eigen situatie en verwachting is constant 20071121211040]]
And they burn more energy than a conventional bot or voice assistant. Their need for significant computational power, especially when reasoning or interacting with multiple systems, makes them costly to run at scale.
Also costly to run at all. If this is to increase efficiency of a corp or individual it needs to be energy efficient too. Otherwise doing it yourself is the more efficient option. AI is bound to the same laws of nature as us. [[AI heeft dezelfde natuurwetten 20190715135542]] Hiding away the inefficiency in a data center's footprint and abstracting into a service fee doesn't change that dynamic ultimately.
AI agents offer a leap in potential, but for everyday tasks, they aren’t yet significantly better than bots, assistants, or scripts.
Again it's just a promise, which seems to be the AI mantra at every step.
Agents frequently run into issues with multi-step workflows or unexpected scenarios
multi step is what they're for no? Automator can do better than agents at this time it seems.
There was another, arguably more immediate problem: the demo didn’t work. The agent lacked enough information and incorrectly recorded dessert flavors, causing it to auto-populate flavors like vanilla and strawberry in a column, rather than saying it didn’t have that information.
Exactly. All promise no delivery yet. It may work if the other side is equally automated, but if it's human or a dumb web form it won't. It also reveals on the side of the human demonstrator a big lack in reflecting on their own preferences that the AI should attach to its choices.
The service is similar to a Google reservation-making bot called Duplex from 2018. But that bot could only handle the simplest scenarios — it turned out a quarter of its calls were actually made by humans.
Vgl Phillips voice automation train tickets in 90s. 'Where do you want to go' 'It's not for me but for my mom' 'Destination not found: mom'
Huet gave the agent a budget and some constraints for buying 400 chocolate-covered strawberries and asked it to place an order via a phone call to a fictitious shop.
Note this is only 'nice' from the buyer's perspective. The 'phone call' to the shop still means having a human be subject to a computer call. It also probably means you don't care about what's being bought. No back story to e.g. a gift. Beware [[Spammy handelings asymmetrie 20201220072726]]. You automate 10 million things be sent, but need to be deleted by a human e.g.
Tech companies have been trying to automate the personal assistant since at least the 1970s, and now, they promise they’re finally getting close.
Indeed. [[AI personal assistants 20201011124147]] https://www.zylstra.org/blog/2020/10/narrow-band-digital-personal-assistants/ We should start with the personal here, wrt automation, not the AI to get to quicker results: [[small band AI personal assistant]] where the personal limits the range of possible inputs for a task and the range of acceptable outputs for a task, leaving a smaller area for an AI agent to do its thing in and thus be more effective.
For individuals, AI companies are pitching a new era of productivity where routine tasks are automated, freeing up time for creative and strategic work.
Still, how much of that is already available to automate on-device? 'routine tasks automated' is not in need of AI. What are examples?
Instead of following a simple, rote set of instructions, they believe agents will be able to interact with environments, learn from feedback, and make decisions without constant human input. They could dynamically manage tasks like making purchases, booking travel, or scheduling meetings, adapting to unforeseen circumstances and interacting with systems that could include humans and other AI tools.
Agents are prompt chains that include fetching info (params!) from elsewhere for their function. vlg [[Standard operating procedures met parameters 20200820202042]] I wonder how you generalise them, other than 'go buy/book', and when you do if they are above what on-device automation can do. In the end individuals need to be able to set the params/boundaries of any agent, make it their own agent, rather than some corps agent. What I see at consumer facing level is not aiding consumers but aiding corps reduce human interaction with consumers. Agents should increase agency, is the lithmus test.
For me, it was always a way to build community at scale.
yup
The web sits apart from the rest of technology; to me, it’s inherently more interesting. Silicon Valley’s origins (including the venture capital ecosystem) lie in defense technology. In contrast, the web was created in service of academic learning and mutual discovery, and both built and shared in a spirit of free and open access. Tim Berners-Lee, Robert Cailliau, and CERN did a wonderful thing by building a prototype and setting it free.
Ben Werdmüller makes an interesting distinction. Internet tech, and thus Silicon Valley, originated in defense (ARPA etc.), whereas the web originated in academia in a spirit of open academic debate (CERN). Now ARPA etc had deep ties w academia too, and it's mostly defense funding at play. Still there may be something to this distinction. You could also say perhaps it's an Atlantic divide, the web originated at CERN in Europe.
Author says generation isn't a problem to solve for AI, there's enough 'content' as it is. Posits discovery as a bigger problem to solve. The issue there is, that's way more personal and less suited for VC funded efforts to create a generic tool that they can scale from the center. Discovery is not a thing, it's an individual act. It requires local stuff, tuned to my interests, networks etc. Curation is a personal thing, providing intent to discovery. Same why [[Algemene event discovery is moeilijk 20150926120836]], as [[Event discovery is sociale onderhandeling 20150926120120]] Still it's doable, but more agent like than central tool.
[[Peter Rukavina]] on how his blog is something others come across and make connections. Commented that [[Hoe emergence tot stand komt 20040513173612]] is from longer traces. My PKM system is leaving those traces for me, my blog for me and others. My blog is the longest, due to it being 22+ yrs old, trace I'm leaving publicly for others to connect around.
The more friction existed, the higher the stakes felt to me, and the more it seemed like I needed to have something very important and worthwhile to say before I could (should) blog about it.
Friction can forestall writing. I've moved to blogging from inside my Obsidian notes through micropub, rather than using the WP back-end. Gives me two things: the back-end pushed me to only write when I had time to finish, the notes allow multiple writings in parallel, and publishing is one key click.
A “shit blog” is a thing of power.
Vgl [[Sturgeons Law most is crap 20190328205135]] https://www.zylstra.org/blog/2019/03/90-of-everything-is-crap-a-source-of-imposter-syndrome/ Provides agency and ratchet too.