skysight-inc/HackerNews huggingface dataset:
Nothing is certain, but my $0.02 is that setting LLM-based agents up with long-running tasks and giving them a way of interacting with the world, via computer use (e.g. Anthropic's recent release) and via actual robotic bodies (e.g. figure.ai) are the way forward to AGI. At the very least, this approach allows the gathering of unlimited ground truth data, that can be used to train subsequent models (or even allow for actual "hive mind" online machine learning).
This is only true because you've minced words.

An insurance company sells options contracts. We call it healthcare. It is , aside from a few small differences, the same as a put or a call.

An insurance company's day-to-day operation is indistinguishable from a derivatives hedge desk. Insurance companies absolutely take massive bets. These are managed by re-insurers.
WebGPU enabled by default in iOS 18.2 beta
I get this too! I have to be really tired, lying down and calm. I always think of it as listening to the noise of my subconscious. Mine isn't continuous, more I can pick up nonsensical phrases every 10-20 seconds. I've never heard of anyone else having this!
Conceived in Liberty or Conceived in Sin? Exploitation and Modern Prosperity
I don't have a business presence in the EU, so I rarely care about that for my own projects. (Insofar as I do care, it's limited to "let's not make GDPR compliance logically impossible when designing cryptographic features").
reductio ad absurdum: we're back to Pony Express
Cool to see scientists and researchers using Perl this way
Passengers outraged after getting stuck in tony Delta Sky Club lounge
Taking a hollistic view informed by a disruptive OpenAI / AI / LLM twitter habit I would say this is AI's "What gets measured gets managed" moment and the narrative will change

This is supported by both general observations and recently this tweet from an OpenAI engineer that Sam responded to and engaged ->

"scaling has hit a wall and that wall is 100% eval saturation"

Which I interpert to mean his view is that models are no longer yielding significant performance improvements because the models have maxed out existing evaluation metrics.

Are those evaluations (or even LLMs) the RIGHT measures to achieve AGI? Probably not.

But have they been useful tools to demonstrate that the confluence of compute, engineering, and tactical models are leading towards signifigant breathroughts in artificial (computer) intelligence?

I would say yes.

Which in turn are driving the funding, power innovation, public policy etc needed to take that next step?

I hope so.

(1) https://x.com/willdepue/status/1856766850027458648
Thanks for reading!

I wrote about that in a previous post: https://mtlynch.io/i-sold-tinypilot/#why-sell
Key insights into cannabis-cancer pathobiology and genotoxicity
What is Vanity?
Inflation wasn't caused by the American Rescue Plan
> right now in particular, the terrible market combined with the intricacy of AI-generated applications for candidates that don't exist (this is the most bizarre trend I've experienced thus far

This is a major problem and isn't widely talked about because it's only seen by HR and hiring managers.

For nearly any engineering job post, companies are getting flooded with resumes from fake candidates in other countries.

At first they were easy to spot (their linkedin account would be < 6 months old, they would apply using a VPN, they would have a VOIP telephone number) but they're getting more sophisticated and harder to weed out real candidates from fake.

The worst part is that the fake candidates are always the ones with the best resumes (since they're fake, their resumes are often also faked and tailored exactly the the job description)

The use of AI during interviews is also a major issue - hiring teams are slowly realizing that the types of questions and interview challenges that worked before no longer work today due to the rise in AI-assisted interview tools that candidates use. It's common to ask a question, then see the candidate wait a few seconds before they start to answer (w

It's really hard when you have 500 applicants in the first day of posting a full stack role, and 80-90% of them aren't real people.
If nothing else, the tech used for Gwern's website is positively inspiring for knowledge organisation system geeks. It's really cool and unique.
It's crazy because the JDs will be so extremely specific to a niche skillset and I still won't get a reply.
For non-workers the benefits outweigh the disadvantages, while for workers the disadvantages outweigh the benefits.

If your income is from owning capital or from real estate value increase or from government benefits, then anything that can reduce the price of things you want to buy is a benefit. This is a large part of the population.

If your income is from working and producing goods and services, then getting paid less is a negative that is far worse than the positive from cheaper things.

Many people have their foot in both camps. Their main source of income is from their real estate appreciating in value, while working is just a means to pay off the old mortgage so that they soon can get a new cash out by mortgaging at a higher value.

It's very much also economic warfare waged by the elderly against the young. The elderly own almost all capital and are interested in increasing it. Keeping the young as poor as possible is excellent for them, so as to keep them from being a threat to their wealth and power.
Search youtube for "new kpop 2024 november week 1" and work your way back. Bebe Yana is probably the most "what if I just did jungle?" of the lot, but it's made its way into pretty much all the mainstream groups (even if, because of how the kpop formula works, it's only a chorus section after a drop)
> now it's been so overused

Is it actually overused or are you just tired of being reminded that so many things are constantly getting objectively worse?
After consideration, I think you are right.

I think the essence of this advice is to avoid eating for social, customary or emotional reasons.

So what I wrote basically is totally unrelated because, you can get away with all of that and eat for any stupid reason if you restrict yourself to doing it just half of the time.
The license is not your value statement.
Phison intros ' fastest' high-capacity 128TB SSD
Green Cross Code (1976) [video]
What do you think that is wrong?

H1B devs at FAANG companies are paid far more.
For anyone else that followed the "buy a device" link on the docs page, and found yourself on the (ended) Kickstarter page, editing the URL to https://usetrmnl.com/ works :)

(This is fantastic. Thank you for sharing about it!)
Yes, this happened to me
It could also be as simple as OAI experimenting on different datasets. Perhaps Chess games were included in some GPT-3.5 training runs in order to see if training on chess would improve other tasks. Perhaps afterwards it was determined that yes, LLMs can play chess - but no let's not spend time/compute on this.
You can build five F-18s for the price of one F-35.
It sounds a bit sci-fi, but since these models are built on data generated by our civilization, I wonder if there's an epistemological bottleneck requiring smarter or more diverse individuals to produce richer data. This, in turn, could spark further breakthroughs in model development. Although these interactions with LLMs help address specific problems, truly complex issues remain beyond their current scope.

With my user hat on, I'm quite pleased with the current state of LLMs. Initially, I approached them skeptically, using a hackish mindset and posing all kinds of Turing test-like questions. Over time, though, I shifted my focus to how they can enhance my team's productivity and support my own tasks in meaningful ways.

Finally, I see LLMs as a valuable way to explore parts of the world, accommodating the reality that we simply don’t have enough time to read every book or delve into every topic that interests us.
On the contrary, I think you're conflating the narrow jargon of the industry with what "most people" would define.

"Most people" naturally associate AGI with the sci-tropes of self-aware human-like agents.

But industries want something more concrete and prospectively-acheivable in their jargon, and so that's where AGI gets redefined as wide task suitability.

And while that's not an unreasonable definition in the context of the industry, it's one that vanishingly few people are actually familiar with.

And the commercial AI vendors benefit greatly from allowing those two usages to conflate in the minds of as many people as possible, as it lets them suggest grand claims while keeping a rhetorical "we obviously never meant that!" in their back pocket
I'm definitely turning it off if there's a toggle in about:config
Let me modify that a little, because humans can't do things outside their training set either.

A crucial element of AGI would be the ability to self-train on self-generated data, online. So it's not really AGI if there is a hard distinction between training and inference (though it may still be very capable), and it's not really AGI if it can't work its way through novel problems on its own.

The ability to immediately solve a problem it's never seen before is too high a bar, I think.

And yes, my definition still excludes a lot of humans in a lot of fields. That's a bullet I'm willing to bite.
every business is trying to sell you something. or make money off you somehow. doesnt necessarily mean its a bad thing, in fact you could think of it like a service we want and willingly pay for.
OK, I’ll bite. Roughly how cheap do you think it was to get an article like that one placed? I am mildly horrified yet now unable to stop thinking about what you said.
Do these companies actually even have the compute capacity to train on video at scale at the moment? E.g. I would assume that Google haven't trained their models on the entirety of YouTube yet, as if they had, Gemini would be significantly better than it is at the moment.
This is not how common law (and likely other) legal systems work. You'd likely have better results with some kind of AI that has ingested all of case law.
Not a genius but I'd speculate that it's a mix of the following in the 2010s:

- Boom of small & lightweight HD cameras, your GoPros and the like.

- Proliferation of video editing tools – and more importantly skills – as internet-based video platforms grew more popular.

- Quadcopters (and other RC aircraft) became cheaper and more stable with each passing year.

Each of these democratised aerial photography – something you could only do if you hired an aircraft and souped-up camera to go with it, an insane expense. Then like any other technology, the more people use it, the more uses we find for it.
> than a self aware entity.

What does this mean? If I have a blind, deaf, paralyzed person, who could only communicate through text, what would the signs be that they were self aware?

Is this more of a feedback loop problem? If I let the LLM run in a loop, and tell it it's talking to itself, would that be approaching "self aware"?
My previous job search in 2019 yielded 2 FAANG offers, 1 exec role at a $2B public company, and an "almost" from another Seattle-based big tech company.

This September, I finished up a 10 month job search (had a job that was going nowhere, so looked for another) In that time, I started with careful analysis of each role, custom resume building, and applying to one or two jobs a week. When that yielded no results after a few months, I crafted a few resumes to match the broad categories of roles that I saw that were good matches and started applying in bulk. That yielded much better result in terms of actual human contact.

I did also leverage my LinkedIn network, and that yielded lots of nice reconnections with past coworkers, but zero job opportunities. The one reach out that led to anything was to the manager for the FAANG job I rejected in 2019 (always say no very nicely!). That manager made it to VP in that timeframe, and a VP recommendation to the recruiting team WILL get you in the door to talk to someone. Of course, a multi-month process resulted in a kafka-esque situation where the team that wanted me got laid off and that killed the entire process. Oh well.

In the end, I'd sent out over 300 applications, had a few dozen recruiter calls, and 7 full loops (4 offers, one of which was a lowball and 3 that all happened at the same time). Ironically, the job I ended up taking came as an inbound opportunity via LinkedIn from a recruiter at the company.

The good news seemed to be that by the August timeframe, activity had really picked up. The same resumes started getting a lot more traction.
FWIW I don't actually have a problem with Jones specifically getting in trouble over defamation after getting his day in court. What I have a problem with is the broad notion that it's generally okay to "not tolerate the intolerant" to the point of forcibly suppressing them. The paradox of tolerance is not really a paradox when we're talking about intolerant speech.
Same here, I applied for a job where a friend already worked and he said he would be highly surprised if I didn't get the job. They didn't even call me to the interview. After the ad expired I just got an automated message that they had moved on, friend said no new person ever appeared.

I can understand ghost jobs, I mean large public corporations have even had useless jobs to inflate their share holder value, but this was for a Swedish government agency!

I became unemployed in August, I had to apply for at least 6 jobs every month to get benefits, and now I have two offers on the table but both of them came from recruiters that contacted me, not jobs that I applied for.
I've been using podman-compose, yes.
Go ahead and ask chat gpt how that glue script works. You'll be incredibly satisfied at its detailed insights.
What did he look like?
Nothing in my post is related to the Chromatic, as I've never heard of it before your comment.

That said, I share in your excitement for new Game Boy games. I occasionally pop over to the RetroBreak YouTube channel to see their reviews of new games. (Though clearly not often enough, as their latest video is about the Chromatic.)
Of course it’s against the law, and so is not obeying the speed limit. And both are being done every day widely and more or less blatantly with little to no chance for consequence. In fact you’re probably more likely to get a speeding ticket than to be audited. Hence the CPAs who would recommend some of these “strategies” as long as there’s even the slightest plausible justification, because in their experience there’s very little risk for pushing the envelope.
> Most IoT products support SSH-ing directly into peripheral devices. We've heard too many horror stories about how this can go wrong, and decided to invert the paradigm.

> Your TRMNL device pings our server, never the other way around.

> Each request made to our /api/display endpoint includes only the minimum details needed to support customers -- an API key, device mac address, firmware version, battery voltage, and wifi signal strength.

Super hackable but it pings their hosted server and nothing else?! Is there a way to run your own server?
You are completely right - whenever you sidestep free market principles a nation can get ahead. Just like China constantly do it. This works until it doesn't anymore.
Full upstream support coming for MediaTek's IoT Edge AI Genio platforms
I don't see a problem with this, we were inevitably going to reach some kind of plateau with existing pre-LLM-era data.

Meanwhile, the existing tech is such a step change that industry is going to need time to figure out how to effectively use these models. In a lot of ways it feels like the "digitization" era all over again - workflows and organizations that were built around the idea humans handled all the cognitive load (basically all companies older than a year or two) will need time to adjust to a hybrid AI + human model.
Licenses often are not respected by business. Businesses also tend to demand free support in perpetuity without ever once contributing anything be it money or code.

Viewed this way, businesses are just using open source as free labor.
Interesting piece on The New Republic: https://newrepublic.com/post/188430/alex-jones-meltdown-reac...
It should be easy to test for. An LLM playing chess itself tries to predict the most likely continuation of a partial game it is given, which includes (it has been shown) internally estimating the strength of the players to predict equally strong or weak moves.

If the LLM is just pass through to a chess engine, then it more likely to play at the same strength all the time.

It's not clear in the linked article how many moves the LLM was given before being asked to continue, or if these were all grandmaster games. If the LLM still crushes it when asked to continue a half played poor quality game, then that'd be a good indication it's not an LLM making the moves (since it would be smart enough to match the poor quality of play).
As part of this course [0]
In one lesson [1] such system seems to be discussed.

Also look at the list at 0:29 in https://m.youtube.com/watch?v=UseJfcmG3po&list=PLwJ2VKmefmxp...

[0] https://m.youtube.com/playlist?list=PLwJ2VKmefmxpUJEGB1ff6yU...

[1] https://m.youtube.com/watch?v=z9cKZEz_Z00&list=PLwJ2VKmefmxp...
We'll need to get rid of grade system then and let students advance on different tracks independently for that. Might be a good idea, but nobody is going to redesign the whole educational system because someone made an app.
Use ChatGPT Search without changing default search engine
Maybe software-adjacent people applying to startups, but in general, this obviously can't be true. Relatively low-paying but high-status jobs, like FBI agent, military officer, elected official, judge wouldn't exist, nor low-paying passion work like social worker, wildlife conservation, most non-profits, low-paying jobs that are simply fun like most musicians, pro athletes in unpopular sports. Plenty of capable, talented people who could be making more money choose not to.
> Which in turn are driving the funding, power innovation, public policy etc needed to take that next step?

They are driving the shoveling of VC money into a furnace to power their servers.

Should that money run dry before they hit another breakthrough "AI" popularity is going to drop like a stone. I believe this to be far more likely an outcome than AGI or even the next big breakthrough.
Here is an example of a task that I do not believe this generation of LLMs can ever do but that is possible for a human: design a Turing complete programming language that is both human and machine readable and implement a self hosted compiler in this language that self compiles on existing hardware faster than any known language implementation that also self compiles. Additionally, for any syntactically or semantically invalid program, the compiler must provide an error message that points exactly to the source location of the first error that occurs in the program.

I will get excited for/scared of LLMs when they can tackle this kind of problem. But I don't believe they can because of the fundamental nature of their design, which is both backward looking (thus not better than the human state of the art) and lacks human intuition and self awareness. Or perhaps rather I believe that the prompt that would be required to get an LLM to produce such a program is a problem of at least equivalent complexity to implementing the program without an LLM.
Individual Investors Put Up the Cash
I find this comment so funny I burst out laughing. I cannot tell whether you're serious.
I am also not a lawyer, but it seems like purposefully lying about how many jobs you have in order to increase the stock price seems… shady at best.
Alex is free to work at the local car wash.
https://archive.ph/ftq5T
Out with Golden Datasets: Here's Why Random Sampling Is Better
Sounds like a great solution to the minority of people like you and me who wouldn't mind the added steps of approving every real phone call as not spam after, having to remember how to set that you're expecting a call from a random number, etc. I can't see it being acceptable to enough people for any network to go down this road unless spam levels get way worse.
Well, resume driven development does work, it seems.
Spotify launches push into video as it takes on YouTube
These aren't business marketplaces. These are more like classifieds, like Craigslist.

Nobody wants to share their ID with a stranger, especially because how would you even know if it was real?

But when you click through and they're part of a genuine social network and Facebook shows you have a mutual friend, that's pretty good social proof.
I’m excited to share that Talentiaa, the personalized interview prep tool I’ve been working on, will be LIVE on Product Hunt this Saturday!

Talentiaa is designed to help you practice and prepare for interviews with tailored questions and personalized feedback based on your job profile. Whether you’re preparing for a technical or behavioral interview, Talentiaa provides insights that help you improve and feel more confident.

Don’t miss out!
Be sure to check it out this Saturday on Product Hunt: [Product Hunt Link]

I’d love to hear your thoughts and feedback once it’s live! Your support means the world as we aim to make interview prep easier and less stressful for everyone.

#ProductHunt #Talentiaa #InterviewPrep #Startup #TechForGood #Launch #CareerGrowth #PersonalizedFeedback
Not a Bicyclist's Guide to Bicycles
OP-XY: Teenage Engineering's Next ICONIC Product [video]
A lot of jurisdictions have anti-SLAPP lawsuits, but not all. I think Logan Paul is trying to sue YouTuber Coffeezilla in a district that doesn't have anti-SLAPP protections with the express intent of bankrupting him.
So it's just an AI re-implementation of the Telecrapper 2000 [1]? The original site is down but there are plenty of YouTube videos [2] of it still available.

[1] https://hackaday.com/2005/09/08/telecrapper-2000/

[2] https://m.youtube.com/watch?v=QlK_zHisT_A
Oh, you will understand why things were built. It's inevitable.

And all of that understanding will come from people complaining about you fixing a bug.
I'm out over my skis a bit on this one, but out of curiosity (and having never experienced it), what sort of leverage does a business have demanding free support from contributors that are under no obligation to provide it? Those seem to be easy emails to ignore, personally.
Maybe, I don't really have data on that but there's a huge range for both. I would say, think about your career, its growth and longevity. Posters on HN have pointed out some large companies that have a habit of laying people off before they fully vest. And there is the whole challenge of getting meaningful responsibility in a large organization. Everyone thinks when they are starting out that they are going to march up the organizational ladder.

Everything I am saying is anecdote, not data, but I have seen people propel themselves up into large organizations by being entrepreneurs. I think of a friend who worked for a bit for a large company, had a start up with mixed results, and then went back to another large company as an SVP. I don't know if that person would have gotten their marching through the ranks.
Absolutely! The system is completely modular, and single pieces can be changed.
Mathematics Qualifying Exams at UNM
I was imagining a Minecraft-like game where the world state and client code are
"on-chain", un-owned yet evolving. 2B2T comes to mind.