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  1. Last 7 days
  2. Nov 2023
    1. Roger Hardy erklärt in diesem Artikel über die von ihm in Großbritannien gegründete Organisation Round our Way, dass Arbeiterklassen-Communities von der globalen Erhitzung und ihren Folgen besonders stark betroffen sind und das auch wissen. Nur eine Klimabewegung für "ordinary people" könne das Fundament für einen gesellschaftlichen Konsens über Klimaschutz herstellen. https://www.theguardian.com/environment/commentisfree/2023/nov/21/working-class-people-climate-crisis-policy

    1. overpopulation is just another intelligence test, and most people are failing, again.<br /> the problem is pacifism, the solution is permanent tribal warfare and legal serial murder.<br /> but first there is depopulation, killing 95% of today's population. fucking useless eaters... byye! no one will miss you.

      Delete The Garbage. World Cure. RD9 Virus. The Brothers Grimsby 2016<br /> https://www.youtube.com/watch?v=HGG0Nq3BwqQ

    1. I use expiration dates and refrigerators to make a point about #AI and over-reliance, and @dajb uses ducks. #nailingit @weareopencoop

      —epilepticrabbit @epilepticrabbit@social.coop on Nov 09, 2023, 11:51 at https://mastodon.social/@epilepticrabbit@social.coop/111382329524902140

    1. In einem Brief wollen mehr als 100 britische Energieunternehmen Premierminister Rishi Sunak warnen von der aktuellen Dekarbonisierungspolitik abzugehen. Gerade erst hat ein Gutachten gezeigt, mit welchen Gefahren die zu große Abhängigkeit Großbritanniens von gaslieferungen verbunden ist. Für das net sirocil sind diesen Bericht zufolge 327 Milliarden Pfund Investitionen nötig Punkt bisher haben sich die Regierung aber nur zu gut 22,5 Milliarden Pfund verpflichtet. https://www.theguardian.com/environment/2023/jul/16/top-uk-energy-firms-to-warn-rishi-sunak-dont-back-off-green-agenda

      Net Zero-Bericht von Chris Skidmore: https://www.gov.uk/government/publications/review-of-net-zero

      Report des Office for Budget Stability: https://obr.uk/frs/fiscal-risks-and-sustainability-july-2023/#:~:text=In%20this%2C%20our%20second%20FRS,on%20the%20UK's%20public%20debt.

    1. As an ex-Viv (w/ Siri team) eng, let me help ease everyone's future trauma as well with the Fundamentals of Assisted Intelligence.<br><br>Make no mistake, OpenAI is building a new kind of computer, beyond just an LLM for a middleware / frontend. Key parts they'll need to pull it off:… https://t.co/uIbMChqRF9

      — Rob Phillips 🤖🦾 (@iwasrobbed) October 29, 2023
      <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>
  3. Oct 2023
    1. Wang et. al. "Scientific discovery in the age of artificial intelligence", Nature, 2023.

      A paper about the current state of using AI/ML for scientific discovery, connected with the AI4Science workshops at major conferences.

      (NOTE: since Springer/Nature don't allow public pdfs to be linked without a paywall, we can't use hypothesis directly on the pdf of the paper, this link is to the website version of it which is what we'll use to guide discussion during the reading group.)

    1. Thank you. Steve, for raising the alarm on this catastrophe! One minor comment. It should be QC'ed, not QA'ed. Quality control is done first. Quality Assurance (QA) comes after QC. QA is basically checking the calculations and the test results in the batch records. I worked in QC and QA for big pharma for decades. I tried to warn people in early 2021 that there's no way the quality control testing could be done at warp speed. Nobody listened to me despite my decades of experience in big pharma!

      "warp speed" sounds fancy, plus "its an emergency, we have no time"...

      it really was just an intelligence test, a global-scale exploit of trust in authorities. (and lets be honest, stupid people deserve to die.)

      problem is, they (elites, military, industry) seem to go for actual forced vaccinations, which would be an escalation from psychological warfare to actual warfare against the 95% "useless eaters".

      personally, i would prefer if they would globally legalize serial murder and assault rifles, then "we the people" would solve the overpopulation. (because: serial murder is the only alternative to mass murder.) but they are scared that we would also kill the wrong people (their servants because they are evil or stupid). (anyone crying about depopulation should suggest better solutions. denying overpopulation is just another failed intelligence test.)

    1. Envisioning the next wave of emergent AI

      Are we stretching too far by saying that AI are currently emergent? Isn't this like saying that card indexes of the early 20th century are computers. In reality they were data storage and the "computing" took place when humans did the actual data processing/thinking to come up with new results.

      Emergence would seem to actually be the point which comes about when the AI takes its own output and continues processing (successfully) on it.

    1. Hans Bethe, who won the Nobel Prize in Physics in 1967, remarked: “I have sometimes wondered whether a brain like von Neumann’s does not indicate a species superior to that of man.”
  4. Sep 2023
      • for: bio-buddhism, buddhism - AI, care as the driver of intelligence, Michael Levin, Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, care drive, care light cone, multiscale competency architecture of life, nonduality, no-self, self - illusion, self - constructed, self - deconstruction, Bodhisattva vow
      • title: Biology, Buddhism, and AI: Care as the Driver of Intelligence
      • author: Michael Levin, Thomas Doctor, Olaf Witkowski, Elizaveta Solomonova, Bill Duane, AI - ethics
      • date: May 16, 2022
      • source: https://www.mdpi.com/1099-4300/24/5/710/htm

      • summary

        • a trans-disciplinary attempt to develop a framework to deal with a diversity of emerging non-traditional intelligence from new bio-engineered species to AI based on the Buddhist conception of care and compassion for the other.
        • very thought-provoking and some of the explanations and comparisons to evolution actually help to cast a new light on old Buddhist ideas.
        • this is a trans-disciplinary paper synthesizing Buddhist concepts with evolutionary biology
    1. “intelligence as care
      • for: wisdom and compassion, intelligence as care
      • comment
        • the slogan "intelligence as care" seems parallel to the Buddhist slogan of "wisdom and compassion" where:
          • care is analogous to compassion
          • insight is analogous to wisdom
    2. Given that intelligent behavior does not require traditional brains [16,18], and can take place in many spaces besides the familiar 3D space of motile behavior (e.g., physiological, metabolic, anatomical, and other kinds of problem spaces), how can we develop rigorous formalisms for recognizing, designing, and relating to truly diverse intelligences?
      • for: key question
      • key question
      • paraphrase
        • Given that
          • intelligent behavior does not require traditional brains, and
          • can take place in many spaces besides the familiar 3D space of motile behavior, for example
            • physiological space,
            • metabolic space,
            • anatomical space, and
            • other kinds of problem spaces,
          • how can we develop rigorous formalisms for
            • recognizing,
            • designing, and
            • relating
          • to truly diverse intelligences?
    1. all intelligence collective intelligence
      • for: quote, quote - intelligence, major evolutionary transition, MET, quote - collective inteillgence, quote - Michael Levin
      • quote
        • all intelligence is collective intelligence
      • author: Michael Levin

      • comment

        • Major evolutionary transition (MET) are milestones in evolution in which collections of distinct individual life forms unite into one cohesive collection due to improved fitness and begin to replicate as a new individual unit
        • hence the Deep Humanity term individual / collective gestalt, developed to deal with the level of human organisms and the societies and groups they belong to, applies to evolutionary biology as well through the MET where a new higher level individual is formed out of a collective of lower level indivdiuals
    2. an overview of the paper
      • for: paper overview, paper overview - the computational boundary of a self
      • paper overview

        • motivated by 2018 Templeton Foundation conference to present idea on unconventional and diverse intelligence
        • Levin was interested in any conceivable type of cognitive system and was interested in find a way to universally characterize them all

          • how are they detected
          • how to understand them
          • how to relate to them and
          • how to create them
        • Levin had been thinking about this for years

        • Levin adopts a cybernetic definition of intelligence proposed by William James that focuses on the competency to reach a defined goal by different paths
        • Navigation plays a critical role in this defiinition.
    1. if one Zooms in you find out that we are all in fact Collective intelligences
      • for: quote, quote - Michael Levin, quote - multicellular organism, quote individual/collective gestalt, individual/collective gestalt
      • quote
        • If one zooms in, you find out that we are all in fact collective intelligence
      • author: Michael Levin
      • date: 2022
      • source:https://www.youtube.com/watch?v=jLiHLDrOTW8
      • for: superorganism, multi-level superorganism, collective intelligence, individual-collective gestalt, Michael Levin,

      • title: Cell Intelligence in Physiological and Morphological Spaces

      • author: Michael Levin
      • date 2022
      • comment
        • This is a talk on collective intelligence in unconventional spaces
    1. R.U.R.: Rossum’s Universal Robots, drama in three acts by Karel Čapek, published in 1920 and performed in 1921. This cautionary play, for which Čapek invented the word robot (derived from the Czech word for forced labour), involves a scientist named Rossum who discovers the secret of creating humanlike machines. He establishes a factory to produce and distribute these mechanisms worldwide. Another scientist decides to make the robots more human, which he does by gradually adding such traits as the capacity to feel pain. Years later, the robots, who were created to serve humans, have come to dominate them completely.
    1. What do you do then? You can take the book to someone else who, you think, can read better than you, and have him explain the parts that trouble you. ("He" may be a living person or another book-a commentary or textbook. )

      This may be an interesting use case for artificial intelligence tools like ChatGPT which can provide the reader of complex material with simplified synopses to allow better penetration of the material (potentially by removing jargon, argot, etc.)

    2. Active Reading

      He then pushes a button and "plays back" the opinion whenever it seems appropriate to do so. He has performed acceptably without having had to think.

      This seems to be a reasonable argument to make for those who ask, why read? why take notes? especially when we can use search and artificial intelligence to do the work for us. Can we really?

  5. Aug 2023
  6. Jul 2023
    1. Epstein, Ziv, Hertzmann, Aaron, Herman, Laura, Mahari, Robert, Frank, Morgan R., Groh, Matthew, Schroeder, Hope et al. "Art and the science of generative AI: A deeper dive." ArXiv, (2023). Accessed July 21, 2023. https://doi.org/10.1126/science.adh4451.

      Abstract

      A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The generative capabilities of these tools are likely to fundamentally alter the creative processes by which creators formulate ideas and put them into production. As creativity is reimagined, so too may be many sectors of society. Understanding the impact of generative AI - and making policy decisions around it - requires new interdisciplinary scientific inquiry into culture, economics, law, algorithms, and the interaction of technology and creativity. We argue that generative AI is not the harbinger of art's demise, but rather is a new medium with its own distinct affordances. In this vein, we consider the impacts of this new medium on creators across four themes: aesthetics and culture, legal questions of ownership and credit, the future of creative work, and impacts on the contemporary media ecosystem. Across these themes, we highlight key research questions and directions to inform policy and beneficial uses of the technology.

    1. A.G.I.-ism distracts from finding better ways to augment intelligence.
      • There are people who are designing systems to prioritize augmenting human intelligence and use machines to assist us
      • For instance, it was the vision of Doug Engelbart
  7. Jun 2023
    1. Reflection enters the picture when we want to allow agents to reflect uponthemselves and their own thoughts, beliefs, and plans. Agents that have thisability we call introspective agents.
    1. Im ersten Jahr nach der Invasion der Ukraine im Februar 2022 hat Großbritannien für 19,3 Milliarden Pfund Öl und Gas aus anderen autoritären Petrostaaten als Russland bezogen. Eine Analyse von Desmog ergibt, dass Großbritannien in diesem Jahr für 125,7 Milliarden Pfund fossile Brennstoffe importiert und damit zum ersten Mal die 100-Milliarden-Grenze überschritten hat, obwohl eine Reduktion des Verbrauchs von Öl und Gas dringend nötig ist. Trotz des Embargos verkaufte auch Russland eine Rekordmenge an Öl in diesem Jahr. https://www.theguardian.com/environment/2023/jun/09/193bn-of-fossil-fuels-imported-by-uk-from-authoritarian-states-in-year-since-ukraine-war

  8. learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com learn-us-east-1-prod-fleet01-xythos.content.blackboardcdn.com
    1. The problem with that presumption is that people are alltoo willing to lower standards in order to make the purported newcomer appear smart. Justas people are willing to bend over backwards and make themselves stupid in order tomake an AI interface appear smart

      AI has recently become such a big thing in our lives today. For a while I was seeing chatgpt and snapchat AI all over the media. I feel like people ask these sites stupid questions that they already know the answer too because they don't want to take a few minutes to think about the answer. I found a website stating how many people use AI and not surprisingly, it shows that 27% of Americans say they use it several times a day. I can't imagine how many people use it per year.

    1. there is a scenario 00:18:21 uh possibly a likely scenario where we live in a Utopia where we really never have to worry again where we stop messing up our our planet because intelligence is not a bad commodity more 00:18:35 intelligence is good the problems in our planet today are not because of our intelligence they are because of our limited intelligence
      • limited (machine) intelligence

        • cannot help but exist
        • if the original (human) authors of the AI code are themselves limited in their intelligence
      • comment

        • this limitation is essentially what will result in AI progress traps
        • Indeed,
          • progress and their shadow artefacts,
          • progress traps,
          • is the proper framework to analyze the existential dilemma posed by AI
    1. Project Tailwind by Steven Johnson

    2. I’ve also found that Tailwind works extremely well as an extension of my memory. I’ve uploaded my “spark file” of personal notes that date back almost twenty years, and using that as a source, I can ask remarkably open-ended questions—“did I ever write anything about 19th-century urban planning” or “what was the deal with that story about Houdini and Conan Doyle?”—and Tailwind will give me a cogent summary weaving together information from multiple notes. And it’s all accompanied by citations if I want to refer to the original direct quotes for whatever reason.

      This sounds like the sort of personalized AI tool I've been wishing for since the early ChatGPT models if not from even earlier dreams that predate that....

  9. May 2023
    1. Deep Learning (DL) A Technique for Implementing Machine LearningSubfield of ML that uses specialized techniques involving multi-layer (2+) artificial neural networksLayering allows cascaded learning and abstraction levels (e.g. line -> shape -> object -> scene)Computationally intensive enabled by clouds, GPUs, and specialized HW such as FPGAs, TPUs, etc.

      [29] AI - Deep Learning

    1. The object of the present volume is to point out the effects and the advantages which arise from the use of tools and machines ;—to endeavour to classify their modes of action ;—and to trace both the causes and the consequences of applying machinery to supersede the skill and power of the human arm.

      [28] AI - precedents...

    1. Epidemiologist Michael Abramson, who led the research, found that the participants who texted more often tended to work faster but score lower on the tests.

      [21] AI - Skills Erosion

    1. An AI model taught to view racist language as normal is obviously bad. The researchers, though, point out a couple of more subtle problems. One is that shifts in language play an important role in social change; the MeToo and Black Lives Matter movements, for example, have tried to establish a new anti-sexist and anti-racist vocabulary. An AI model trained on vast swaths of the internet won’t be attuned to the nuances of this vocabulary and won’t produce or interpret language in line with these new cultural norms. It will also fail to capture the language and the norms of countries and peoples that have less access to the internet and thus a smaller linguistic footprint online. The result is that AI-generated language will be homogenized, reflecting the practices of the richest countries and communities.

      [21] AI Nuances

    1. According to him, there are several goals connected to AI alignment that need to be addressed:

      [20] AI - Alignment Goals

    1. The following table lists the results that we visualized in the graphic.

      [18] AI - Increased sophistication

    1. https://xtiles.app/62e9167a308426236b1d2b91 https://xtiles.app/62c29d1866533a18d0717564

      Presumably this is part of xTiles' planning for various personas and strategy.

    1. https://xtiles.app/6249b3f811d8db0dcd173512

      Fascinating to see an xTiles page named "competitive analysis", but an interesting example of "eating their own dogfood" to make it.

    1. Get some of the lowest ad prices while protecting your brand with a system backed by Verity and Grapeshot. Rest easy that your ads will only show up where you’d like them to.

      Is there a word or phrase in the advertising space which covers the filtering out of websites and networks which have objectionable material one doesn't want their content running against?

      Contextual intelligence seems to be one...

      Apparently the platforms Verity and Grapeshot (from Oracle) protect against this.

    1. Tagging and linking with AI (Napkin.one) by Nicole van der Hoeven

      https://www.youtube.com/watch?v=p2E3gRXiLYY

      Nicole underlines the value of a good user interface for traversing one's notes. She'd had issues with tagging things in Obsidian using their #tag functionality, but never with their [[WikiLink]] functionality. Something about the autotagging done by Napkin's artificial intelligence makes the process easier for her. Some of this may be down to how their user interface makes it easier/more intuitive as well as how it changes and presents related notes in succession.

      Most interesting however is the visual presentation of notes and tags in conjunction with an outliner for taking one's notes and composing a draft using drag and drop.

      Napkin as a visual layer over tooling like Obsidian, Logseq, et. al. would be a much more compelling choice for me in terms of taking my pre-existing data and doing something useful with it rather than just creating yet another digital copy of all my things (and potentially needing sync to keep them up to date).

      What is Napkin doing with all of their user's data?

  10. Apr 2023
    1. Malheureusement, de nombreuses études dites de « socio-génomique » font progresser, en s’appuyant sur les études GWAS, l’idée que nous sommes génétiquement prédéterminés à faire des études ou pas (l’idée étant que les variations génétiques influeraient sur la variable QI, dont on vient de rappeler les limites…). Selon ce courant de pensée, nos capacités intellectuelles sont écrites dans notre génome. Largement diffusées tant par la presse scientifique que par les médias généralistes ou certains ouvrages comme ceux des psychologues Kathryn Paige Harden ou Robert Plomin, par exemple. Ces idées conduisent inéluctablement à se demander à quoi bon promouvoir une éducation pour tous quand certains y seraient, pour ainsi dire, « génétiquement imperméables »…
    1. Abstract

      Recent innovations in artificial intelligence (AI) are raising new questions about how copyright law principles such as authorship, infringement, and fair use will apply to content created or used by AI. So-called “generative AI” computer programs—such as Open AI’s DALL-E 2 and ChatGPT programs, Stability AI’s Stable Diffusion program, and Midjourney’s self-titled program—are able to generate new images, texts, and other content (or “outputs”) in response to a user’s textual prompts (or “inputs”). These generative AI programs are “trained” to generate such works partly by exposing them to large quantities of existing works such as writings, photos, paintings, and other artworks. This Legal Sidebar explores questions that courts and the U.S. Copyright Office have begun to confront regarding whether the outputs of generative AI programs are entitled to copyright protection as well as how training and using these programs might infringe copyrights in other works.

    1. It was only by building an additional AI-powered safety mechanism that OpenAI would be able to rein in that harm, producing a chatbot suitable for everyday use.

      This isn't true. The Stochastic Parrots paper outlines other avenues for reining in the harms of language models like GPT's.

  11. Mar 2023
    1. For us the rule of brawn has been broken, and intelligence has become the decisive factor in success. Schools, railroads, factories, and the largest commercial concerns may be successfully managed by persons who are physically weak or even sickly. One who has intelligence constantly measures opportunities against his own strength or weakness and adjusts himself to conditions by following those leads which promise most toward the realization of his individual possibilities.

      I think intelligence has always been a determining factor of success. When someone is smart or intelligent we tend to assume that they will be successful in life. I think this is important to the history of psychology because we have been determined on trying to understand intelligence and then we were grading intelligence based off the score they were getting. We were discussing how intelligence differs across people and that people that were feeble-minded were potential criminals. We discussed how superiors become leaders and lead civilization.

    2. Industrial concerns doubtless suffer enormous losses from the employment of persons whose mental ability is not equal to the tasks they are expected to perform. The present methods of trying out new employees, transferring them to simpler and simpler jobs as their inefficiency becomes apparent, is wasteful and to a great extent unnecessary. A cheaper and more satisfactory method would be to employ a psychologist to examine applicants for positions and to weed out the unfit. Any business employing as many as five hundred or a thousand workers, as, for example, a large department store, could save in this way several times the salary of a well-trained psychologist.

      I think this is interesting because they are saying that intelligence testing could be used to determine job positions. I agree that employing a psychologist to examine applications for positions would be beneficial because the employer doesn't have to worry about certain things the psychologist would look for. I agree that using a psychologist to weed people out of decision of employment could be effective because many people are applying, but the employers only want certain people for that job. I think this is relevant to the history of psychology because there are some companies who use people to determine who is deemed fit for the company, and this is what they wanted to start doing so they could find the best employees for that particular job.

    3. Instead, there are many grades of intelligence, ranging from idiocy on the one hand to genius on the other.

      I think this is interesting because they had thought that under the right conditions that children would be equally, or almost equally, capable of making satisfactory school progress, but they made a discovery that not all children are equal or almost equal. There are different grades of intelligence depending on the person because everyone is different. This is important to the history of psychology because there has now been a discovery of different grades of intelligence. They used to think that children had an equal intelligence or almost equal but there are many different grades of intelligence grading from idiocy to average to genius. We still utilize the grades of intelligence today, but the grades are categorized differently such as idiocy being extremely low on the intelligence scale and genius being very superior. We have changed the name of the grades of intelligence.

    4. The Uses of Intelligence Tests

      I think this is interesting because we have used intelligence testing back then to try and understand how intelligence is measured. Today we still use many different types of intelligence testing such as the Stanford-Binet Intelligence scale and the IQ test which are used to measure intelligence. I was thinking that the STAAR test is a way to measure intelligence, but when I looked it up, it states "No, STAAR tests do not measure a student's intelligence the way they should" (Breuer, 2020). The use of intelligence testing can help diagnose intellectual disabilities or someone's intellectual potential.

    1. Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 610–23. FAccT ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3442188.3445922.

      Would the argument here for stochastic parrots also potentially apply to or could it be abstracted to Markov monkeys?

    1. A.I. Is Mastering Language. Should We Trust What It Says?<br /> by Steven Johnson, art by Nikita Iziev

      Johnson does a good job of looking at the basic state of artificial intelligence and the history of large language models and specifically ChatGPT and asks some interesting ethical questions, but in a way which may not prompt any actual change.


      When we write about technology and the benefits and wealth it might bring, do we do too much ethics washing to help paper over the problems to help bring the bad things too easily to pass?

    2. We know from modern neuroscience that prediction is a core property of human intelligence. Perhaps the game of predict-the-next-word is what children unconsciously play when they are acquiring language themselves: listening to what initially seems to be a random stream of phonemes from the adults around them, gradually detecting patterns in that stream and testing those hypotheses by anticipating words as they are spoken. Perhaps that game is the initial scaffolding beneath all the complex forms of thinking that language makes possible.

      Is language acquisition a very complex method of pattern recognition?

    3. How do we make them ‘‘benefit humanity as a whole’’ when humanity itself can’t agree on basic facts, much less core ethics and civic values?
    4. Another way to widen the pool of stakeholders is for government regulators to get into the game, indirectly representing the will of a larger electorate through their interventions.

      This is certainly "a way", but history has shown, particularly in the United States, that government regulation is unlikely to get involved at all until it's far too late, if at all. Typically they're only regulating not only after maturity, but only when massive failure may cause issues for the wealthy and then the "regulation" is to bail them out.

      Suggesting this here is so pie-in-the sky that it only creates a false hope (hope washing?) for the powerless. Is this sort of hope washing a recurring part of

    5. OpenAI has not detailed in any concrete way who exactly will get to define what it means for A.I. to ‘‘benefit humanity as a whole.’’

      Who get's to make decisions?

    6. Whose values do we put through the A.G.I.? Who decides what it will do and not do? These will be some of the highest-stakes decisions that we’ve had to make collectively as a society.’’

      A similar set of questions might be asked of our political system. At present, the oligopolic nature of our electoral system is heavily biasing our direction as a country.

      We're heavily underrepresented on a huge number of axes.

      How would we change our voting and representation systems to better represent us?

    7. Should we build an A.G.I. that loves the Proud Boys, the spam artists, the Russian troll farms, the QAnon fabulists?

      What features would be design society towards? Stability? Freedom? Wealth? Tolerance?

      How might long term evolution work for societies that maximized for tolerance given Popper's paradox of tolerance?

    8. Right before we left our lunch, Sam Altman quoted a saying of Ilya Sutskever’s: ‘‘One thing that Ilya says — which I always think sounds a little bit tech-utopian, but it sticks in your memory — is, ‘It’s very important that we build an A.G.I. that loves humanity.’ ’’
    1. the apocalypse they refer to is not some kind of sci-fi takeover like Skynet, or whatever those researchers thought had a 10 percent chance of happening. They’re not predicting sentient evil robots. Instead, they warn of a world where the use of AI in a zillion different ways will cause chaos by allowing automated misinformation, throwing people out of work, and giving vast power to virtually anyone who wants to abuse it. The sin of the companies developing AI pell-mell is that they’re recklessly disseminating this mighty force.

      Not Skynet, but social disruption

    1. ChatGPTThis is a free research preview.🔬Our goal is to get external feedback in order to improve our systems and make them safer.🚨While we have safeguards in place, the system may occasionally generate incorrect or misleading information and produce offensive or biased content. It is not intended to give advice.
  12. Feb 2023
    1. Sam Matla talks about the collector's fallacy in a negative light, and for many/most, he might be right. But for some, collecting examples and evidence of particular things is crucially important. The key is to have some idea of what you're collecting and why.

      Historians collecting small facts over time may seem this way, but out of their collection can emerge patterns which otherwise would never have been seen.

      cf: Keith Thomas article

      concrete examples of this to show the opposite?

      Relationship to the idea of AI coming up with black box solutions via their own method of diffuse thinking

    1. For years inventions have extended man's physical powers rather than the powers of his mind.