skysight-inc/HackerNews huggingface dataset:
In addition to the nonsense that others have pointed out, I found it humorous that they felt the need to take a dig at electric cars with nonsense like "If a typical electric car is driven 50,000 miles over its lifetime".
I’ve found the same, and have leaned more into patterns and proximity as guides. Find good patterns that can be repeated easily and predictably. Also, keep related code close together so it’s easy to find and copy somewhere else. Often times there are higher level abstractions that emerge which can then be “dry”ed out, but trying to do that too early creates more problems than it solves.
> China should learn the lesson not to conquer people, not that they need to act the same way.

Maybe the PRC could get inspired by the RC? Who after all invaded modern-day Taiwan against the wishes of the non-Chinese natives.

With all that said, and for the record, yes: there should be no unification and China and Taiwan should stay where they are. Two wrongs never make a right. (Not that the PRC was ever blameless, of course.)
Apparently they will have a livestream @ 4pm EST for developers
https://www.youtube.com/watch?v=outcGtbnMuQ
For the human brain, the LSAT requires reasoning. But not for an LLM. Do we even know exactly what data this is trained on? I have only seen vague references to what data they are using. If it is trained on large chunks of the internet, then it certainly is trained on LSAT practice questions. And because LSAT questions follow a common pattern, it is well suited to a LLM. There isn't any reasoning or general intelligence at all. Just really good statistics applied to large amounts of data.
While many may shudder at this, I find your comment fantastically inspiring. As a teacher, writing tests always feels like an imperfect way to assess performance. It would be great to have a conversation with each student, but there is no time to really go into such a process. Would definitely be interesting to have an AI trained to assess learning progress by having an automated, quick chat with a student about the topic. Of course, the AI would have to have anti-AI measures ;)
It depends on the specific setup you have, but if you have fewer workers, then either you need fewer things that you pay for, or else you can get by on a smaller box.
Not even close to being true. I’m forced at times to get certifications for enterprise-y tools and software.

Many networking engineers need a Cisco cert to get started. Same with a lot of security analysts.

If you’re working in Defense you’ll need to get a cert(s) at some point.

Way back being Microsoft certified was all the rage. I was catering at the time near a Microsoft training office and they were a very good customer. The rooms didn’t have a single seat and people were flying in to take them. This was 15 years ago.
If they really cared about their constituent banks, they wouldn't have raised interest rates at all.

This all depends on how seriously you think they take the inflation mandate, versus how much they care about their constituent banks and other political pressures. I happen to think that they really do care about inflation, as they know it is what will matter in the history books.

I think that the Governors underestimated the long-term impact of extremely low rates, and how they would magnify the impact of increased rates on (commercial and investment) bank balance sheets. They love historical analogies, and there isn't one for this (yet).
Dictionaries are pretty effective
Looks very interesting! Are you recruiting ?
Sounds like Chinese Room argument. Maybe human intelligence is just a pattern matching?
I'm not sure if you're joking. Algorithms for adaptive kinematics aren't trivial things to create. It's kind of like a worst case scenario in computer science; you need to handle virtually unconstrained inputs in a constantly variable environment, with real-world functors with semi-variable outputs. Not only does it need to work well for one joint, but dozens of them in parallel, working as one unit. It may need to integrate with various forms of vision or other environmental awareness.

I'm certainly not intelligent enough to solve these problems, but I don't think any intelligent people out there can either. Not alone, at least. Maybe I'm too dumb to realize that it's not as complicated as I think, though. I have no idea.

I programmed a flight controller for a quadcopter and that was plenty of suffering in itself. I can't imagine doing limbs attached to a torso or something. A single limb using inverse kinematics, sure – it can be mounted to a 400lb table that never moves. Beyond that is hard.
No one has moved the goal posts. Let's see a computer pass a rigorous Turing test conducted by an interdisciplinary panel of expert evaluators. That has long been considered the gold standard for identifying the arrival of true AGI. GPT-4 is a tremendous technical achievement, but still far from that level.

The notion of some sort of technological "singularity" is just silly. It is essentially an article of faith, a secular religion among certain pseudo-intellectual members of the chattering class. There is no hard scientific backing for it.
As a dyslexic person with a higher education this hits really close to home.
Not only should we not be surprised that a LLM would be good at answering tests like this, we should be excited that technology will finaly free us from being judged in this way.
This is a patern that we have seen over and over again in tech, where machines can do something better than us, and eventually free us from having to worry about it. Before it was word processing, now it is accurate knowledge recall.
Maybe the thinking is "they just got rid of a bunch of people, so they are not going to do that again soon."

https://en.wikipedia.org/wiki/Gambler%27s_fallacy
I guess my reference was to the 3.5 version since that one had much more variation in test scores across all the AP exams. But yes, 4 seems to have made mince meat of them all!
Maybe I'm cynical, but in leaving so many critical information points out, Docker appears to be fear mongering organizations into paying for a subscription. If they provided answers to all these points, then orgs would be able to make a logical decision. By leaving these questions unanswered, orgs are incentivized to move to paid just to avoid any unknown consequences.
Desktop: bookmark

Phone: URL shortcut icon on home screen

Both are fine. I can't imagine an app would provide much more value, especially with the privacy cost.
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Certainly, I've had some great even more thoughtful/in-depth replies too, it's just the ~zero effort template support-channel 'thanks for your question'/'unfortunately that's not possible today' type response - I know, that's why I gave the feedback; all it does is tell me it didn't get anywhere near the right person, which is a souring experience (and waste of my time & effort) and makes me wish there just hadn't been a feedback button to begin.
Those benchmarks are so cynical.

Every test prep tutor taught dozens/hundreds of students the implicit patterns behind the tests and drilled it into them with countless sample questions, raising their scores by hundreds of points. Those students were not getting smarter from that work, they were becoming more familiar with a format and their scores improved by it.

And what do LLM’s do? Exactly that. And what’s in their training data? Countless standardized tests.

These things are absolutely incredible innovations capable of so many things, but the business opportunity is so big that this kind of cynical misrepresentation is rampant. It would be great if we could just stay focused on the things they actually do incredibly well instead of the making them do stage tricks for publicity.
"...We analyze U.S. banks’ asset exposure to a recent rise in the interest rates with implications for financial stability. The U.S. banking system’s market value of assets is $2 trillion lower than suggested by their book value of assets accounting for loan portfolios held to maturity. Marked-to-market bank assets have declined by an average of 10% across all the banks, with the bottom 5th percentile experiencing a decline of 20%. We illustrate that uninsured leverage (i.e., Uninsured Debt/Assets) is the key to understanding whether these losses would lead to some banks in the U.S. becoming insolvent-- unlike insured depositors, uninsured depositors stand to lose a part of their deposits if the bank fails, potentially giving them incentives to run..."
The idea is that eventually we build something that, when it plateaus, builds its own successor. That’s the singularity: when the thing in question builds its successor and that builds its successor and this happens far outside our ability to understand or keep up.

Can GPT9 build GPT10, with zero human input?

I’d give 50/50 odds it can.

Can GPT15 build something that isn’t a large language model and is far superior in every way?

I’d give 50/50 odds it can.

Can both the above steps happen within one solar rotation of each other?

I’d give 50/50 odds they can.

Because at some point these models won’t need humans to interact with them. Humans are very slow- that’s the bottleneck.

They’ll simply interact with their own previous iterations or with custom-instantiated training models they design themselves. No more human-perceptible timescale bottlenecks.
US inflation trend using MathGPT for numerical modelling, updated in Feb. 2023
Awesome test. Do you have a list of others?
Humans are at their best correcting and finding errors in the integration between automated systems. Yes we probably won’t have accountants manually typing data from a page into a computer in the future, but we’ll always have people reviewing and checking the automation.

If that automation doesn’t require oversight, everyone wins, since now that process, typing data from a ledger, is free to anyone who wants to use it. The exception of course is if a monopoly or oligopoly controls the process, so it’s up to the government to break them up and keep the underlying tech accessible.

The biggest risk is how much computing power it takes to run these models, so it’s very important to support the open alternatives that are trying to lower the barrier to entry.
for daytraders, "whats to come" may mean three hours

no stock moves 65% down and then 50% up in two trading sessions based on fundamental research for long-term investors
So the thing is, giving wrong answers with confidence is literally what we train students to do when they are unsure.

I can remember my GRE coach telling me that it was better to confidently choose an answer I only had 50% confidence in, rather than punt on the entire question.

AIs hallucinate because, statistically, it is 'rewarding' for them to do so. (In RLHF)
I wonder how the Subresource Integrity can expand to the root document hash (other than using IPFS gateways).

UPD yeah, extension hashing resources sounds nice too
Intriguing, if it's implemented well. Lack of conversation practice is probably the biggest hole in most language learning systems and what keeps language knowledge from being applicable.
what a US drone is doing far away from the US?

> The US European command said

Oh, i see, they no longer hide
Why would you think this? As long as the technical domain knowledge is at least partially published, I don't see them stopping becoming better.

UI stuff just has an input problem. But it is not that hard to think that ChatGPT could place widgets once it can consume images and has a way to move a mouse.
At this point I generally stick to specific small problems like "How can I write a script to convert a Product from the Stripe API into my custom interface?" or "How do I do this thing in SQL". I trust these answers because I can verify by reading and running the actual code.

For more open ended questions I tend to treat it more like a random comment in a forum. For example, I often notice that Typescript code examples don't use the `function` keyword often, they tend to use anonymous functions like `const func = () => blah`. I asked ChatGPT why this is and it gave a plausible answer, I have no idea if what it's saying is true, but it seemed true enough. I give the answer the same amount of trust as I would some random comment on Stack Overflow. The benefit of Stack Overflow though is at least you know the reputation of the person you're talking to.
They can leave at any time. It's just that their social credit score will go to 0.
Maybe you were thinking about this science studies work [0]? Not a journalist, but a sociologist, who became something of an "expert" in gravitational waves.

[0]: https://www.nature.com/articles/501164a
The larger context length makes me think they have a more memory-efficient attention mechanism.
There's a major study out of Princeton from a year or two ago that fully covers what is needed for full electrification with only renewables, and with mostly renewables. It covers all this much better than I could, especially here on HN:

https://netzeroamerica.princeton.edu/the-report

My take on that report is "yep, this would/will be a major effort, as large as anything we've ever done, but not much more than an order of magnitude beyond anything we've ever done".
Long Covid happens in 4% of infections
Yes, it's a funny joke and all, but really it is made to resist that as well. And what I mean by that is that it's a currency you can use without a bank and is not controllable by those with wrenches.
Had to chuckle here going through the exam results:
Advanced Sommelier (theory knowledge)

AI is so advanced, it started drinking!
That codebase=>token stream=>codebase step feels like it could be lossy depending on how you encode things like file paths when concatenating everything, would be interesting to see in practice though!
Maybe I’m just old but I don’t quite understand the hype.

As long as it’s vulnerable to hallucinating, it can’t be used for anything where there are “wrong answers” - and I don’t think ChatGPT-4 has fixed that issue yet.*

Now if it’s one of those tasks where there are “no wrong answers”, I can see it being somewhat useful. A non-ChatGPT AI example would be those art AIs - art doesn’t have to make sense.

The pessimist in me see things like ChatGPT as the ideal internet troll - it can be trained to post stuff that maximise karma gain while pushing a narrative which it will hallucinate its way into justifying.

* When they do fix it, everyone is out of a job. Humans will only be used for cheap labor - because we are cheaper than machines.
You are essentially a box of staples to a company.
Making existing art, or art similar to existing art, might be pattern matching.

Making totally new innovations in art, particularly ones that people end up liking, is a whole different ball game.
The material section of the paper (https://www.science.org/doi/10.1126/sciadv.abq1990) links to this github repo for some of the software used : https://github.com/protCAD/protCAD

The models also are available at the 'Model archive' - eg https://modelarchive.org/doi/10.5452/ma-iyjyy
Do we know what the training data was?
How is human language not a programming language? Go to the store and get me a carton of milk and a box of cereal.
With your definition of „human rights“ we can just abolish the term altogether.

The beauty of human rights was that it was supposed to be a well-defined set of core things. Which can't be granted, they just shouldn't be stamped on. But now „human rights“ is becoming a very polarised topic with many bits where person A is forced to do provide something to person B because it's „human rights“. Does person A has a „human right“ to refuse to provide his service?
Khan Academy integrates GPT-4 as every student’s customized tutor
I’ll… I’ll take that risk.
seeing this too. did you find a solution?
I haven't, but I got sick of the ads pretty quickly and have been signed up for super for most of my ~10 month streak.

I try to spend 10-20 mins a day on it (learning Spanish) and actually do a lot of the "review" lessons which are good at drilling words. I am often surprised by my recall at phrases that I haven't seen in a while -- pretty sure they use the spaced repetition type algorithms.

My challenges now aren't so much on vocab/recall, but on verb conjugation and sentence construction / structure. I kind of know what to say but have trouble putting it together.

What I need to do is practice more actually speaking Spanish and interacting with Spanish speakers -- I had planned to spend a few months living somewhere in Hispanic America, but the 3 day-a-week RTO at my job has trashed that. I'll probably just have to settle for Skype-based chats/lessons.
Not sure what would count as examples here, honestly. The ones I know of were what I encountered when I was working in cryptographic security, and I don't think any of those incidents were made publicly available.

That said, there are readily available tools that use things like rainbow tables to "crack" SHA-256 salted password hashes. By "crack", I mean to come up with a password that hashes to the same value.

These tools are in successful use every day.
Folks that use ASL use fingerspelling which is of course just written english, no?

https://www.lifeprint.com/asl101/fingerspelling/fingerspelli...
Why are you dunking on the US for their illegal invasion of Iraq? This is a thread about China. Stop with the whataboutism.
Where I work (we sell software) there's nobody in engineering with certifications. IT has all the certifications.

I've been working since the mid-1990s and this has almost always held true. No one building the stuff has a certification in it. The people who buy it and install it tend to have the certifications.

Over the years I've seen a fair # of hilarious exchanges where someone with a Certification in X tries to tell someone else they're wrong and then gets embarrassed when they are told the person they're arguing with is the inventor or holds the patent on X.

So many of these certifications also seem to train someone to buy products from a company. Our IT guys are always super sure we need products they got certified in, to the point it seems fishy.

My gut feeling is this article is right on the money. The smartest people with formal education are more than capable of teaching themselves this stuff. If you've got a quality degree you shouldn't need a certificate in X to implement X in your product. The certificate won't cover that anyway since no one has ever integrated it into the new product you're building anyway.
Yea this is huge. Been playing with conversational technology in langchain and one of the issues you have to manage is the historical conversations, langchain has some cool ways to deal with it but this changes the nature of the problem entirely.
How to improve the accessibility of overlay windows
Why threaten when the period was already in the pudding? Are their decision makers drunk, incompetent, or bought and paid for? Missing this should be grounds to shut down or nationalize their ratings. The fact that this is outside the overton window is telling in and of itself.
That isn't their intent at all here. You can view archive of the site and see that they were chasing trends, this was just their latest redesign that happened late 2014. Once you get past the cover page, they even had a very trendy full height drawing (that was removed in 2019).

Contrast this to Berkshire Hathaway, no additional scripts (gtag excluded) or frameworks, no plethora of css defined. Now that is defining a strategy and never revisiting it. Including still using adobe pagemill to publish pages.
That is not true for compiling to wasm.

You can use upstream LLVM (and Emscripten, which uses it) with -flto normally on all platforms. It is basically cross-compiling, so it does not matter at all on what platform you are building, and Windows/Mac/Linux all work the same.

Just to confirm that, here is an Emscripten CI run on MacOS, where you can see among other tests ones that build with lto (search for "lto" in the "run tests" tab):

https://app.circleci.com/pipelines/github/emscripten-core/em...
That’s great idea. Thanks for sharing
Access to the inference API, not model code or weights.
A lot of snippets in here that feel like Mark is stating some uncomfortable truths for many who have enjoyed the world of tech during the low interest rate environment.

"In person work is more effective"

> Our early analysis of performance data suggests that engineers who either joined Meta in-person and then transferred to remote or remained in-person performed better on average than people who joined remotely

"To remain a company that values tech we must lower the influence of people who don't value it"

> As we’ve grown, we’ve hired many leading experts in areas outside engineering. This helps us build better products, but with many new teams it takes intentional focus to make sure our company remains primarily technologists.
https://www.forbes.com/sites/bradtempleton/2022/10/31/former...
especially if you're on arm linux, it seems
I think it's more that the exam was shown to be the easiest of all the exams
Twitter hearsay. And it looks like that's all we'll ever have, since the paper refuses to elaborate.
Flying surveillance aircraft in the black sea?

Russia is at war with Ukraine and receives intelligence from US and UK 24/7 that surveillance aircraft is not there defending the coasts of Turkey or Romania.
You're not making any real argument here, so I can't exactly refute it.

Proof of Work is a means of preventing any one actor from controlling bitcoin. Proof of Work is energy intensive, but the currency exists in a government resistant manner without the use of guns because of Proof of Work.
We can finally start an education and "testing" people's knowledge reform since GPT4 makes a lot of those tests irrelevant. It's an interesting point in history, how society, different institutions and countries will approach this new tool.
The day on the calendar is the middle of Mar
What about the glaring safety implications of the custody of this power being in the hands of a relatively small number of people, any of whom may be compelled at any point to divulge that power to those with bad intentions? Secretly?

Conversely, if all actors are given equal access at the same time, no such lone bad actor can be in a position to maintain a hidden advantage.

OpenAI's actions continue to be more than merely annoying.
Even the current GPT has models of the domains it was trained on. That is why it can solve unseen problems within those domains. What it lacks is the ability to generalize beyond the domains. (And I did not suggest it was an AGI.)

If an LLM can solve Codeforces problems as well as a strong competitor—-in my hypothetical future LLM—-what else can it not do as well as competent humans (aside from physical tasks)?
OpenSSL 3.1 Released with Performance Optimizations, More AVX-512
Exactly right. I mean unless long term means 6 months or such, no one looking for job would really care in an year that Meta had layoffs in 2023.
Wow, a context of 32K tokens. I'm excited to see what new capabilities that will have! Up until now and depending on the task by hand, I usually broke a larger context down into several contexts. For example to summarize multiple websites and/or long social media posts, on a recent task [1] I fell back to making several requests each with its own (isolated) context and then merging these summarized contexts into a new context. That worked remarkably well, though.

[1] https://foretale.io/zeitgeist