There's not necessarily a process by which that communities decide who comes in or countries decide who comes in to work on these problems that have been decided outside.

Carl Jung considered this ease-of-answering test a way of understanding what matters most. “The greatest and most important problems of life are all fundamentally insoluble,” he wrote in 1931.

mankind isn't getting all that much more effective at collectively dealing with complex problems maybe that's what i could concentrate on so that's what i committed to

I wasn’t immune to the incentive gradient, either. After I was dismissed from the crypto hedge fund I’d planned to work for in February 2022, I kept my distance from EA for a few months, wary of what I perceived as wastefulness and superficiality in the slice of the community I had encountered. But by May, I needed a job, and it was not hard to see that the fastest path to prosperity in the Effective Altruism world included a pit stop in the Bahamas. So I bought a plane ticket to Nassau, and within two weeks of my trip I had a fantastic position at an exciting new nonprofit organization funded by the FTX Foundation. I don’t know how to feel now about that plane ticket. On the one hand, the job I ended up in was a perfect fit. I was eminently qualified, and both I and the organization were substantially better off as a result of me joining. It introduced me to a community of earnest, introspective, devoted people, banded together to try to change the world for good, a community that I feel extraordinarily lucky to now call home. On the other hand, I was a willing participant in a web of incentives that likely compromised my epistemics and ethics. Participating in it had such high expected value — first in dollar terms, when I planned to trade crypto, and then in impact-on-the-world terms, when I went in search of an altruistic job. It seemed absurd to keep my distance just because the “vibes felt off” in the world of FTX and EA (at that point, the two were interchangeable in my mind), with no concrete cause for concern or evidence of wrongdoing in my field of vision. But if the incentives hadn’t been so strong, would I have paid more attention to the suspicious feelings in my gut?I think sometimes about the versions of me out there who would have held back from buying that plane ticket. There are alternate-universe-Rickis who smelled something rotten in FTX land and decided to stay away from that rot despite the enormous incentives not to. Those Rickis don’t end up in the Effective Altruism world. I think we would have benefited from having more of them around.

if you built buildings you'll know that what's worse a dysfunctional seven stage or dysfunctional first stage it's all the footings it's all the foundations

around the AI is um the problem right now as I understand it

The novelty here over such past works is a theoretical analysis in the method-of-moments tradition

uggests word vectors need to have varying lengths

The discourse vector ct does a slow random walk (meaning that ct+1 is obtained from ct by adding a smallrandom displacement vector), so that nearby words are generated under similar discourses.

We are interestedin the probabilities that word pairs co-occur near each other, so occasional big jumps in the random walkare allowed because they have negligible effect on these probabilities

This is reminiscent of analysis ofsimilar random walk models in finance

By contrast our random walk involvesa latent discourse vector, which has a clearer semantic interpretation and has proven useful in subsequentwork, e.g. understanding structure of word embeddings for polysemous words Arora et al. (2016)

Assuming a prior on the random walk we analytically integrate out thehidden random variables and compute a simple closed form expression that approximately connects themodel parameters to the observable joint probabilities

Belanger and Kakade (2015) haveproposed a dynamic model for text using Kalman Filters, where the sequence of words is generated fromGaussian linear dynamical systems, rather than the log-linear model in our case

The dynamic topic model of Blei and Lafferty(2006) utilizes topic dynamics, but with a linear word production model.

But fork does not copy the parent process's threads. Thus locks (in memory) that in the parent process were held by other threads are stuck in the child without owning threads to unlock them, ready to cause a deadlock when code tries to acquire any of them. Also any native library with forked threads will be in a broken state.

I emphatically disagree with BlueFish about observers being difficult to properly unit test. This is precisely the biggest point that distinguishes them from lifecycle callbacks: you can test observers in isolation, and doing so discourages you from falling into many of the state- and order-heavy design pitfalls BlueFish refers to (which again I think is more often true of lifecycle callbacks).

However, this idiom is only an approximation, and introduces subtle bugs when we try to allow false values:

the latest trend in investment to fight online rumors, which is far too focused on technological fixes for what is fundamentally a human problem.

Solutions or systems that are created uh to solve problems

there are two crippling flaws with the existing multilevel governance architecture for the globe.

"But save the animals in the zoo Cause the chimpanzee dem a make big money" another comment similar to the irony/absurdity of focusing on problems of the universe/space exploration rather than problems which affect humanity. we focus on saving other animals, yet we can't even save our own species? why? because of money.

"An' a fly go a moon And can't find food for the starving tummies" criticism on how the wealth and resources used on space exploration - is something that humanity can't understand when those billions used for the scientific pursuit/understanding of the universe, can instead be used to feed and clothe the hungry, the impoverish - basically poverty and world hunger would cease. it's sort of like criticisng the fact that we have problems here on this planet that we all need to work together to solve as a species/planet, yet we're not prioritising those problems as our main repsonisbility, something we need to fix, instead the most intelligent bunch/resourceful are spending their energy/time/reousrces on solving the mysteries of the universe instead. it's commenting on the notion of the microcosm within the macrocosm. if we as a species, esp. the intelligent and resurceful of our lot focused on solving problems like poverty, world hunger, war, crime... solve problems that continue to stagnate our human evolution/progress/conciousness, we could put an end to hegelian dialectics of problem, reaction, solution... this repititive state of insanity - doing the same thing over and over again and expecting different results. why do we keep looking outside/external when we have problems in the inside/internal, in our very hearts, minds and homes.. on our own planet Earth? if we solved the problems at home, problems that create the suffering and keep just a few individuals privelaged/intelligent/resourceful over the rest of humanity who is stagnated and moving backwards and keeping humanity in a continous cycle of karma, the wheel of samsara of the human condition... then doesn't that mean that everyone as a whole is enlightened intelligent, resourceful? no one gets left behind and everyone becomes empowered self-sufficient, self-independent, self-enlightened, self-responsible...imagine each and every person self empowered now imagine the entire race of humanity self-empowered... that's billions of buddhas/christs - intellectuals, academics and enlightened individuals working together as a strong force of unity for a common cause. if we can fix those small problems that continue to keep humanity going backwards towards self-destructi, those small problems which greatly impact upon the bigger picture and schemes of things, then we can truly progress towards real change and together explore the universe as a human species. no one gets left behind.

Tobacco, alcohol, processed foods and fossil fuels ‘kill 2.7m a year in Europe’

from Latin solutionem (nominative solutio) "a loosening or unfastening,"

literally "thing put forward

if we just had a big enough spreadsheet we could get the data in and then we could get you know something like AI or some you know some other computational 00:12:32 process in to help us deal with all this complexity because our little brains can't handle it and my feeling about this is that 00:12:44 actually no

come this winter if you were paying attention last winter with all the utility failures

I suggest you to make this a new question. This will also get better answers.

Evidence shows that reading problems in childhood can be associated with negative outcomes in adulthood, including lower income, poorer self-esteem and higher rates of psychiatric problems

printed indexes leave the contents almost entirelyuntouched.

social dynamics in tech jobs punish people who say things like, “Uh, this is too complicated to me.”

In any system even remotely tied to money, hard-deletion violates all sorts of accounting expectations, even if moved to an archive/tombstone table. The correct way to handle this is a retroactive event.

So, soft delete is better, right? No, not really: Setting up cascades becomes extremely difficult. You almost always end up with what appear to the client as orphaned rows. You only get to track one deletion. What if the row is deleted and undeleted multiple times? Read performance suffers, although this can be mitigated somewhat with partitioning, views, and/or filtered indexes. As hinted at earlier, it may actually be illegal in some scenarios/jurisdictions.

Christian Lawson-Perfect @christianp@mathstodon.xyz@liseo there are lots of ways of representing colours numerically. The most basic way that computers use is to use a number between 0 and 255 for each of the red, green and blue components, called RGB encoding. The problem with that is that colours that look close to each other don't necessarily have close RGB values. There are other colour spaces which try to get closer to the ideal of having similar colours close together. Oklab, which I use in this tool, is currently the best for that.

We are in a time between worlds

There will be errors in MESON – those I have copied from books, magazines and the card collections I have access to, those I have copied from the other free online databases and those I have perpetrated myself. If you find an error, do contact me about it, quoting the problem ids (PIDs).

Kairotic Flow focuses not on problems or solutions, but on responding as wisely as possible to continually changing life conditions.

for example you know that there are kids that are not getting the nutrition that they need and part of the behavior issues that you're seeing in classrooms has to do with a lack of 00:30:11 nutrition or um especially you know reactions to various forms of gluten and or pesticides are increasingly coming in as being associated with behavioral and 00:30:25 social issues so does that mean that agriculture is responsible for education

this is what happens when we don't tend to the whole um 00:28:38 things break the responses that get made get made to one part at a time and then those responses create more problems right so if you say okay we have to 00:28:57 address the climate change problem so clearly we have to stop producing carbon okay but um that sends the economy into complete failure

value proposition says, "Hey, it's not about your ideal product, it's about solving a problem or a need for a customer."

Ramalope says they also don’t go far enough. “I think the weakness of JETPs is that they’re not encouraging 1.5 [degrees] Celsius,”

Even before mechanization had gone as far as it has now,one factor prevented vocational training, or any other formof ad hoc instruction, from accomplishing what was expectedof it, and that factor was the mobility of the Americanpopulation. This was a mobility of every kind —in space, inoccupation, and in economic position.

The standard mechanisms to link objects within the same file or across files.

The lawsuit against OpenAI claims the three authors “did not consent to the use of their copyrighted books as training material for ChatGPT. Nonetheless, their copyrighted materials were ingested and used to train ChatGPT.”

When I create a new note, I write and link it as usual. Then I call up a saved search in The Archive via shortcut. I then go through the notes of my favorites and see if the fresh note is usable for one of my favorites. In doing so, I make an effort to find a connection. This effort trains my divergent thinking. Afterward, I try to understand the nature of the connection from the fresh piece of paper. In this way, I train my convergent thinking.

Not all favorites are problems! I don’t phrase everything as a problem. For example, I am writing a collection of short stories set in a prison valley. It is also part of my list of favorites. I think Feynman has 12 favorite problems because as a physicist, you mainly solve problems. But as a writer, you don’t only solve problems, you write texts. There are different types of opportunities, not just problems.

This technique is another demonstration of Feynman’s genius. It is simple and efficient: Maintain a collection of 12 favorite problems. Whenever you learn something new, check if it helps you with one of your 12 favorite problems. Richard Feynman was fond of giving the following advice on how to be a genius. You have to keep a dozen of your favorite problems constantly present in your mind, although by and large they will lie in a dormant state. Every time you hear or read a new trick or a new result, test it against each of your twelve problems to see whether it helps. Every once in a while there will be a hit, and people will say, “How did he do it? He must be a genius!”

It often eliminates the only practical solution to unforseen problems or use cases.

Woit does provide problems, but they are all at the back of the book. It would have been better to see them between chapters. That provides a natural break in the material and gives the student a quick check on his understanding.

When I create a new note, I write and link it as usual. Then I call up a saved search in The Archive via shortcut. I then go through the notes of my favorites and see if the fresh note is usable for one of my favorites. In doing so, I make an effort to find a connection. This effort trains my divergent thinking.

Richard Feynman was fond of giving the following advice on how to be a genius. You have to keep a dozen of your favorite problems constantly present in your mind, although by and large they will lie in a dormant state. Every time you hear or read a new trick or a new result, test it against each of your twelve problems to see whether it helps. Every once in a while there will be a hit, and people will say, “How did he do it? He must be a genius!”

By way of example, let’s say it’s an average adult day, and you get up in the morning, go to your challenging, white-collar, college-graduate job, and you work hard for eight or ten hours, and at the end of the day you’re tired and somewhat stressed and all you want is to go home and have a good supper and maybe unwind for an hour, and then hit the sack early because, of course, you have to get up the next day and do it all again. But then you remember there’s no food at home. You haven’t had time to shop this week because of your challenging job, and so now after work you have to get in your car and drive to the supermarket. It’s the end of the work day and the traffic is apt to be: very bad. So getting to the store takes way longer than it should, and when you finally get there, the supermarket is very crowded, because of course it’s the time of day when all the other people with jobs also try to squeeze in some grocery shopping. And the store is hideously lit and infused with soul-killing muzak or corporate pop and it’s pretty much the last place you want to be but you can’t just get in and quickly out; you have to wander all over the huge, over-lit store’s confusing aisles to find the stuff you want and you have to manoeuvre your junky cart through all these other tired, hurried people with carts (et cetera, et cetera, cutting stuff out because this is a long ceremony) and eventually you get all your supper supplies, except now it turns out there aren’t enough check-out lanes open even though it’s the end-of-the-day rush. So the checkout line is incredibly long, which is stupid and infuriating. But you can’t take your frustration out on the frantic lady working the register, who is overworked at a job whose daily tedium and meaninglessness surpasses the imagination of any of us here at a prestigious college. But anyway, you finally get to the checkout line’s front, and you pay for your food, and you get told to “Have a nice day” in a voice that is the absolute voice of death. Then you have to take your creepy, flimsy, plastic bags of groceries in your cart with the one crazy wheel that pulls maddeningly to the left, all the way out through the crowded, bumpy, littery parking lot, and then you have to drive all the way home through slow, heavy, SUV-intensive, rush-hour traffic, et cetera et cetera. Everyone here has done this, of course. But it hasn’t yet been part of you graduates’ actual life routine, day after week after month after year.

Most editions of Geniza documents appear in Hebrew-language publications, andthis means that Hebrew documents are usually left untranslated. It is important to recognizethat this is a problem.

Interpersonal competence is the ability to motivate, enable, and facilitate collaborative and participatory sustainability research and problem solving.

Strategic competence is the ability to collectively design and implement interventions, transitions, and transformative governance strategies toward sustainability.

Normative competence is the ability to collectively map, specify, apply, reconcile, and negotiate sustainability values, principles, goals, and targets.

Anticipatory competence is the ability to collectively analyze, evaluate, and craft rich “pictures” of the future related to sustainability issues and sustainability problem-solving frameworks.

Systems-thinking competence is the ability to collectively analyze complex systems across different domains (society, environment, economy, etc.) and across different scales (local to global), thereby considering cascading effects, inertia, feedback loops and other systemic features related to sustainability issues and sustainability problem-solving frameworks.

definition of competence as a functionally linked complex of knowledge, skills, and attitudes that enable successful task performance and problem solving

Tackle wicked problems using a systems-thinking approach that considers the political roles, interests, and perspectives of stakeholders. 2. Collaborate effectively with stakeholders and team members with diverse backgrounds, life experiences, and ways of knowing. 3. Communicate scientific research and ideas to diverse audiences and through different modalities. 4. Meet ethical, collegial, and professional expectations and standards in collaborative research and other professional endeavors. 5. Articulate a sense of purpose and develop competencies, skills, and habits that prepare them for life-long learning about and engaging with wicked problems.

But then life went on and nothing really happened.

This can lead to the sending of email to the correct address but the wrong recipient.

Computers can only deal with well-structured problems

When I come across interesting information, I highlight then comment a corresponding question:

However, in some cases, there may be something missing:

A much more effective approach is to give them a meaningful problem to struggle with first and then provide them with the knowledge they need to figure it out.99. D. L. Schwartz, T. Martin, Cogn. Instr. 22, 129 (2004). https://doi.org/10.1207/s1532690xci2202_1 When information is presented as useful for solving certain kinds of problems, the brain stores that information so that it is readily accessed and applied when needed to solve novel related problems.

Such schemas cannot easily be refactored without removing the benefits of sharing. Refactoring would require forking a local copy, which for schemas intended to be treated as an opaque validation interface with internal details that may change, eliminates the benefit of referencing a separately maintained schema in the first place.

Again, in virtue of their very detachability,the slips, or loose leaves, are liable to go astray ; andwhen a slip is lost how is it to be replaced ? Tobegin with, its disappearance is not perceived, and,if it were, the only remedy would be to go rightthrough all the work already done from beginningto end. But the truth is, experience has suggesteda variety of very simple precautions, which we neednot here explain in detail, by which the drawbacksof the system are reduced to a minimum.

The method of slips is not without its drawbacks.

You can use Danger to codify your team's norms, leaving humans to think about harder problems.

Every beginner-level tutorial for scientists should state during the first five minutes that you cannot expect stability and that you should either use Python only for throw-away code or else

What is not OK is what I perceive as the dominant attitude today: sell SciPy as a great easy-to-use tool for all scientists, and then, when people get bitten by breaking changes, tell them that it’s their fault for not having a solid maintenance plan for their code.

Without wishing to exalt the cult of gentlemanlyamateurism, one must nevertheless recognize that the classical issues have aliveliness and significance that may be lacking in an area of investigation thatis determined by the applicability of certain tools and methods, rather than byproblems that are of intrinsic interest in themselves.

2.3 Diagnose problems to get at their root causes.

2.2 Identify and don’t tolerate problems.

just to give you a feel for how powerful these systems are just think of the bitcoin energy consumption and realize that that 00:09:48 just drops out of two components in bitcoin one is the block reward impact evaluator and two the price of bitcoin so those two things yield this tremendous energy 00:10:00 consum consuming system this was kind of an accident this was a an accident of nobody quite intended this this device to um consume this this amount of energy and waste this amount of energy uh but 00:10:13 this gives you a sense of the power of these these uh systems first off we should fix this and you know get out get to uh better systems that that actually uh make this this um energy use uh useful 00:10:25 uh but this i use as an example to give you a sense of like the level of power that comes from these incentive structures and their operation at scale in falcon we're very familiar with these kinds of structures we use the same component and we've gotten a feel for how powerful 00:10:38 this stuff is um in just a couple of years we ended up organizing the build out of a massive hardware infrastructure for providing storage to the world um with again just using one 00:10:51 core incentive structure a block reward uh so all of this makes me really really hopeful um that we'll be able to build um these kinds of incentive structures that can scale to solve extremely large planetary scale 00:11:03 problems um by designing incentive structures and structures warping the incentive fields and getting us to little by little problem by problem scale by scale um solve challenges 00:11:17 and so i think i greatly encourage you if you aren't already in this uh world to try it out to try creating some smart contracts and deploying them um to try uh working with other projects and so on 00:11:29 to get a feel for how powerful these these systems are um i i'm very hopeful that things like this will have a huge impact on planetary scale problems like uh climate change um i've become very hopeful that 00:11:41 these systems will let us coordinate massive action again millions of people billions of people whole industries by letting us have the full power of law and economics and so on in a fully 00:11:55 programmable environment i'm also very hopeful that we can get to accelerate science and technology development by using these kinds of structures to create instruments to incentivize areas of the innovation chasm that are 00:12:08 underserved areas where it's extremely difficult to get funding for certain projects or where it's extremely difficult to get long-term rewards or long-term success many of you have probably heard me talk 00:12:21 about this science and technology translation problem and the lack of incentive structures in that in that period in the castle in the middle and i think a lot of that just comes from the lack of reward structures there that make it impossible for 00:12:34 groups building groups building building projects there to raise capital um because there's no good incentive for capital uh to to deploy there so uh what brought us to so knowing all 00:12:46 of this knowing that this is a critical century knowing that um this critical decade and year um and knowing that crypticon is extremely powerful um why are we here why are we in funding commons so we thought about this problem last year and 00:12:59 we saw that the scale of problem of um of blockchains and the kind of rapid pace of development in industry and the emergence of things like defy and dials and nfts and so on 00:13:10 and especially the the broad adoption by hundreds of thousands of people or millions of people of these tools gave us a very promising um landscape to be able to solve these kinds of problems 00:13:23 and so we have the potential to solve all these massive coordination problems but we're lacking good mechanisms we need way better governance structures we need way better funding mechanisms and uh and so on we need to study these things with much 00:13:36 deeper theory and much deeper experimental analysis and so on

As told in Genius: The Life and Science of Richard Feynman byJames Gleick

new result, test it against each of your twelve problems to seewhether it helps. Every once in a while there will be a hit, andpeople will say, “How did he do it? He must be a genius!”

optimal placement of facilities to minimize transportation costs while considering factors like avoiding placing hazardous materials near housing, and competitors' facilities.

No option is perfect here, but a warning seems like a decent compromise unless there's a whole bunch of other plugins that break

These callbacks are focused on the transactions, instead of specific model actions.

Wicked problems of sustainability, such as poverty, hunger, and climate change, are common throughout society (United Nations Assembly, 2015)

I mean there’s no single answer that will solve all of our future problems. There’s no magic bullet. Instead there are thousands of answers — at least. You can be one of them if you choose to be.'

A very kind birthday gift of some money allowed me to indulge my fountain pen problem, I mean hobby, as I could buy a pen and ink bottle duo I’d had my eye on for a while.

The problems with ORMs are numerous, and the above issues only begin to scratch the surface

Boilerplate is only boilerplate if it's the same everywhere, which it shouldn't be.

We need more holistic frameworks that incorporate more facets of the web experience

I'm trying to help in some way by bringing these issues to light so a discussion about them can take place.

Complex challenges, on the other hand, require innovative responses. These are the confounding head-scratchers with no right answers, only best attempts. There’s no straight line to a solution, and you can only know that you’ve found an effective strategy in retrospect. You never really solve your complex challenges–most of the time, you have to push forward and see how it goes.

Complicated challenges are technical in nature. They have straight-line, step-by-step solutions, and tend to be predictable. People with the right expertise can usually design solutions that are easy to implement.

Humans can master highly sophisticated technical and technological challenges because we’re very skilled at making linear connections from one technical feat to the next. But when it comes to multi-dimensional challenges, it’s a whole different ballgame. We can’t solve them with linear thinking or rely on technical prowess. Sometimes, they move and change at a rate faster than we can act. They don’t patiently await solutions. They are complex problems–which is a whole different ball game than merely complicated issues.

Second, how is everyone going to get paid? Without a profit motive for middleware providers, the magic will not happen, or it will not happen at large enough scale. Something about business models—or, at a minimum, the distribution of ads and ad revenue—will have to change. That leaves the two thorny issues I do know a fair amount about: curation costs and user privacy.

Before we can execute on the middleware vision, I see at least four problems to be solved. Two of those concern matters beyond my ken, but I will flag them here for others to consider.

A common cause of a large number of created factories is factory cascades, which result when factories create and recreate associations.

As an example you might create 5 issues in between counts, which would cause the query count to increase by 5 if an N+1 problem exists.

QueryRecorder is a tool for detecting the N+1 queries problem from tests.

They cause completely different behavior for auto margins. If you have a fixed element for example with top/bottom/left/right set to zero and you stick an image in it you want to center wrapped in a div, then in order to center that div with auto margins, you MUST specify a CSS width/height, because specifying an HTML attribute width/height has no effect and the margins remain zero. I have no idea why the difference exists.

unbuffer is able to pass along the return code of a process under normal circumstance, but if the process you are unbuffering is killed, for instance with a segfault, I see $? as 0 while I expect 139. How can I get it to pass along the 139?

If you've ever talked about regular expressions with another programmer, you've invariably heard this 1997 chestnut: Some people, when confronted with a problem, think "I know, I'll use regular expressions." Now they have two problems.

I consider systemd/user as a good alternative for dex's autostart functionality and switched to it recently. In particular, systemd solves the issue of dex losing control over the started processes which causes processes to live longer than the X session which could cause additional annoyances like reboots taking a lot of time because the system is waiting for the processes to terminate.

I used this in the console to find the file and the line of the error (took it from this answer): JS_PATH = "app/assets/javascripts/**/*.js"; Dir[JS_PATH].each do |file_name| puts "\n#{file_name}" puts Uglifier.compile(File.read(file_name)) end

main > Dir["*/assets/javascripts/**/*.coffee"].each { |file_name| puts "\n#{file_name}"; Sprockets::CoffeeScriptProcessor.(filename: file_name, data: File.read(file_name), cache: {}); }

app/assets/javascripts/bootstrapped.js.coffee
NoMethodError: undefined method `config' for nil:NilClass
from /home/tyler/.gem/ruby/2.7.1/gems/sprockets-4.0.2/lib/sprockets/source_map_utils.rb:40:in `format_source_map'

block in Sprockets::CoffeeScriptProcessor.call
sprockets (4.0.2) lib/sprockets/coffee_script_processor.rb, line 24

input[:filename]

Not all cases can be covered and easily restored. And sometimes when we will reuse this function for different use-cases we will find out that it requires different restore logic.

But why do we return 0? Why not 1? Why not None? And while None in most cases is as bad (or even worse) than the exceptions, turns out we should heavily rely on business logic and use-cases of this function.

So, the sad conclusion is: all problems must be resolved individually depending on a specific usage context. There’s no silver bullet to resolve all ZeroDivisionErrors once and for all. And again, I am not even covering complex IO flows with retry policies and expotential timeouts.

However, some people think these solutions are hacks and the problem reveals a missing abstraction.

Historical LowSteam on 2020-05-100% off$0.00