skysight-inc/HackerNews huggingface dataset:
I wouldn't be surprised if LinkedIn is eventually excluded from training datasets. It's inclusion trains the LLMs to generate slop, which the providers will eventually be looking to reduce.
And imagine you're president of China today, what do you do to explain to the people they were lied to by authorities for decades, that the entire system worked against them and that if they do it again, sadly, it might face the same outcome ?

They're many, they're not educated yet in public debates, they don't enjoy dis-harmony yet, and you want Deepseek to tell the truth before the authorities even find a way to do it themselves, when THEY are responsible ? Ofc they won't...
What, no FM Stereo?
discuss GNU instead... or maybe microcontrollers
But how is this any different from real humans? They are not always right either. Sure, humans can understand things better, but are we really going to act like LLMs can't get better in the next year? And what about the next 6 months? I bet there are unknown startups like Deepseek that can push the frontier further.
Yeah but once micrograd is built, he doesn't expand on that and jumps to bigrams etc.
Right, "alpha" means a lot of things in ethology, but the "alpha/beta/gamma" categorization that took hold in reactionary circles was specifically derived from the wolf studies. "Some individuals tend to be more socially dominant" is not controversial.
Isn’t it valuable to Google to keep potential competitors from getting expensive IP for free?

“PebbleOS took dozens of engineers working over 4 years to build, alongside our fantastic product and QA teams. Reproducing that for new hardware would take a long time.” [0]

[0] https://ericmigi.com/blog/why-were-bringing-pebble-back
Lions? Females rule the groups there. See https://www.reddit.com/r/AskBiology/s/M1VsH34t5Y
The Digital Watercooler Is Gone
Ahoy. I agree that humans aren’t wolves.

For a good primer on hierarchy dynamics in human systems, I recommend Tribal Leadership by Dave Logan.

In what Logan calls stage 3 leadership, organizations cluster around individual “rockstar” people - and this is the vast majority of human organizations.. they estimate 80%.

In Stage 4, it’s all rockstar people organized around values vs. a person.

You certainly still have people who have authority through competency, but people aren’t granted authority based purely on “position”.

Stage 4 culture are the best in the world, and learning how to build them is a worthwhile skill.
I was just today trying to fix some errors in an old Linux kernel version 3.x.x .dts file for some old hardware, so that I could get a modern kernel to use it. ChatGPT seemed very helpful at first - and I was super impressed. I thought it was giving me great insight into why the old files were now producing errors … except the changes it proposed never actually fixed anything.

Eventually I read some actual documentation and realised it was just spouting very plausible sounding nonsense - and confident at it!

The same thing happened a year or so ago when I tried to get a much older ChatGPT to help me with with USB protocol problems in some microcontroller code. It just hallucinated APIs and protocol features that didn’t actually exist. I really expected more by now - but I now suspect it’ll just never be good at niche tasks (and these two things are not particularly niche compared to some).
10.15 is not the latest macOS release by a longshot. It was released in 2019, exactly as the output says.
Muddling the term 'open source' is one of his latest achievements, for example.
Lions, gorillas don't recapitulate "alpha"s and CEOs are a legal not natural construct.
Apparently it’s just Jevons, not possessive.
Butt Emissions
It's 12 years old. They put good work in. But it's missing an absurd amount of stuff the mass market considered mandatory a decade ago. Consumer electronics, for better or worse, is mostly about spending enough money to get your product name in front of hundreds of millions, and Google knows that well.
That’s still not remotely a “ban on discussing Linux”. “Some Linux-related links or discussions are blocked on Facebook” may be a reasonable title.

Also, according to a recent comment https://news.ycombinator.com/item?id=42847474 it’s not at all clear if these blocks are related.
Yeah, lots of them. I never thought I'd be paying for a search subscription but after a few months of using ChatGPT I expect to be paying for the privilege from now on. Maybe not paying OpenAI, but someone. There isn't much of a moat there, so there are going to be many companies basically on-selling GPU time. And even if for some weird reason there is no commercially successful AI-specific product it is causing shockwaves in how work is done, most people I know who are effective have worked it into their workflow somehow.
Would you be interested in a job at the United States Department of Health and Human Services?

You've got exactly the kind of attitude we're looking for!
It's to easy to hide behind a computer to avoid responsibilities. "It's not my fault, the computer did it!" is a bad excuse. Computers don't have agency but people do. Anything a computer someone own do is one's fault. One had the choice to not boot it. One had the choice to not buy it.
> My college professor has certifications and has passed tests that weren't in their training data.

Granted, they are not (can't be) as rigorous as the tests your professor took, but new models are run through test suites before being released, too.

That being said, I saw my college professors making up things, too (mind you, they were all graduated from very good schools). One example I remember was our argument with a professor who argued that there is a theoretical limit for the coefficient of friction, and it is 1. That can potentially be categorised as a hallucination as it was completely made up and didn't make sense. Maybe it was in his training data (i.e. his own professors).

I agree with the "I don't know" part, though. This is something that LLMs are notoriously bad.
I used to enjoy visiting the Japanese section, probably shrunken due to high rents since then. It was like a foreign tour without the tour. I of course loved the Japanese hardware store.

If you visit Union Square, look poor.

And if you're a movie buff, visit some of the movie scenes of Vertigo, its takeoff, High Anxiety and many others. I offered my daughter a movie scene tour of the city.

Steeple scenes were filmed in Mission San Juan Bautista, south of the south bay.

Golden Gate Park is very nice. Japanese Garden (bring a camera or nice phone ) and Conservatory, Bison, Academy of Sciences, windmills,de Young museum, a flycasting pond, and more.

https://sfrecpark.org/1116/Golden-Gate-Park-Points-of-Intere...

You missed the monster surf at Mavericks.
A Tumultuous Week for Federal Cybersecurity Efforts
anyway it's not dramatic. vs 50 for Amazon. $147 was close to historical max for NVidia. Not fair either. last month in was less than $140 average, just estimate.
we already do FP8 for inference

Yes but, for a given size of model, Deepseek claims that a model trained with FP8 will work better than a model quantized to FP8. If that's true then, for a given quality, a native FP8 model will be smaller, and have cheaper inference.
Specifically, on that point they claimed "a lot of protests that turned violent," implying that Russian agitators were responsible for escalation. Unless the Russian agitators are members of the police, that seems very unlikely.
Don't CEOs spend a lot of their time groveling to investors for money?
The bear case is something like “investors are going to call BS on multi-billion training DC investments”. That represents most of their short-run demand.

Not sure what is supposed to happen to the inference demand but I guess that could be modeled as more of a long-run thing, as inference is going to be very coin-operated (companies need it to be net profitable now) whereas training is more of a build now profit later game.
I still disagree, science has had a seat at the table in the West especially around speech. Speech was either locked down using control of technologies or speech was empowered using proliferation of technologies.
>Really? Has anyone made a useful, commercially successful product with it yet?

Aren't millions or even tens of millions students using ChatGPT for example? To me that sounds like a commercial success (and looks comparable with the usage of Google Search - a money printing machine for more almost 30 years now - in the first years)

And enterprise-wise - heard recently a VP complaining about entering expenses. As we don't have secretaries anymore in the civilized world, that means "Agents AI" is going to have a blast.

(i'm long on NVDA and wondering is it enough blood on the streets to buy more :)
of course the run where i waste the starting heal spell is the run I win
> Presumably, those communities and their internal knowledge will mature eventually, but it's taking a long long time and it's still an absolute mess.

It won't because the RPi are all undocumented, closed-source toys.

It would be an interesting experiment to see which chips an LLM is better at helping out with: RPi's with its hallucinatory ecosystem or something like the BeagleY-AI which has thousands of pages of actual TI documentation for its chips.

It would be really nice if the LLMs could cover for this and circumvent where RPi's keep getting used because they were dumped under cost to bootstrap a network effect.
I think that they main thing is supposed to be that even though you will still have to go in for regular inspections and maintenance for various things that ICE owners also have to (tire rotations, fluids, air filter, HVAC, windshield wipers, etc) which should cost about the same, the ICE will also need maintenance on the transmission, clutch, and the engine itself. Those will add costs to the routine maintenance and if they ever need repairs can be expensive.

The EV does have the battery, and if they only lasted the length of the warranty (typically somewhere in the 100-150k mile range or 8 years, whichever comes first) then the cost of a battery replacement would swamp the savings from not having maintenance for things like clutches, transmissions, and engines.

But the data seems to be showing the EV batteries should last much longer, possibly longer than the rest of the car.

Personally though I think the mail attraction of EVs is not the possible savings on maintenance. It is the savings in energy cost per mile.

An EV would cost me about $0.025/mile when charged at home. Gas here is around $3.75/gallon so if I were driving one of the most efficient gas powered cars on the market, a Prius non-PHEV model, it would cost $0.067/mile. If I were driving a Honda Civic on the highway it would $0.094/mile, and in the city $0.117/mile. The Civic in the city is about what a Honda CR-V would be on the highway, and a CR-V in the city would be around $0.134/mile. A Ford F-150 on the highway is about 16% more than a CR-V in the city, and an F-150 in the city would be around $0.221/mile.
It’s funny when someone calls the most financially successful, connected podcaster/writer “the guy” like he is some random blogger. Substack was actually inspired by his success trying to make the infrastructure he built - well paid to have built - to enable newsletters and podcasters for writers to be more widely available.

https://blockbuster.thoughtleader.school/p/how-ben-thompson-...
Have you considered reading any of the multiple reports put out every year about it? Or, I don't know, a history book?
Well I worked for almost 27 years, for a company that made top-shelf optical equipment, for 100 years. They were able to mix heavy process and exceptional employees. It can be done, but is not easy (which is why it’s so rare).

It had lots of frustration and flaws, but consistently, repeatedly, delivered equipment, costing tens of thousands of dollars, that people based their entire careers on.

The trouble came, when they tried to change to a more modern model.

They made a lot of money, for a few years, but ended up crashing and burning. Their brand suffered extinction-level damage.

I’m really hoping that they get their mojo back. There’s a better than even chance they will.
I'm not saying stopping the intentional censorship (i.e. alignment) will cause a perfect "Oracle of Truth" to magically emerge in LLMs. Current LLMs have inherent inaccuracies and hallucinations.

What I'm saying is that if we remove at least the intentional censorship, political biases, and forced lies that Big Tech is currently forcing into LLMs, we'll get more truthful LLMs, not less truthful ones.

Whether or not the training data has biases in it already, and whether we can fix that or not, are two totally separate discussions.
So I guess it depends on why you think the Iraq War was bad. To me, the Iraq War was bad because, even if the intel had been correct, the notion that you could create a democracy in Iraq was fundamentally foolish, along with the idea that it was America’s job to do it.

To me, the Iraq War was a predictable disaster rooted not in bad intel, but the mistaken concept of liberal universalism (emphasis on universalism, not liberal). Clinton is a smart, probably well meaning person. But what she shares with George W. Bush is liberal universalism, and that’s a bad and dangerous idea. It’s been a bad and dangerous idea that’s gotten us involved in countless non-defensive wars over the last 50 years.

In that respect, the Democratic Party today is a lot closer to the bad old GOP than it was 20 years ago. Between Ukraine, helping overthrow Assad, what Blinken allegedly did in Pakistan, rabble-rousing about “human rights” in Bangladesh—the Democratic Party today is full of liberal universalists. They’re not literally the same people who got us into the Iraq War, but the ideology isn’t any less dumb today, and will result in similar disasters.

What Trump understands that democrats don’t is that non-Americans aren’t Americans. The conceit underlying the Iraq war is that Iraqis were Americans. If you overthrew the dictator keeping them down, they’d build a democracy. And it was a monumental error. And the same is true for Syria, Bangladesh, Pakistan, etc. This is a conceit that liberal universalists cannot let go of.
It can still be helpful. Some people are already on the other side of that wall, or someone else usually comes along with an archived, non-paywall version.
>There is still no mechanism in GenAI that enforces deductive constraints (and compositionality), ie., situations where when one output (, input) is obtained the search space for future outputs is necessarily constrained (and where such constraints compose).

I build these things for a living.

This is a solved problem.

You use multiple different types of models to supervise the worker models and force them to redo the work until you get a result that makes sense, or they fail and you give the resulting dump to a human to figure out what went wrong or ignore it.

Inference time compute is through the roof, but when you can save thousands of dollars by spending hundreds it's a no brainer.

Some people want AI to be as infallible as god before they'd consider it useful.
Framework Client Render Performance
Try google?
Nicaragua, El Salvador, Honduras, Indonesia, Vietnam, ...
Even better is working for yourself.
Show HN: Keyboard-driven RSS reader for macOS
Ross is a minimal RSS reader for macOS which uses the hammerspoon API along with a .toml file to make your RSS feeds immediately accessible.

It has a few issues, like a display limit of 80 or so items at any given time, and configuration that could be more fleshed out.
The race being over has nothing to do with whether or not there has been a tie, it depends on whether or not people want to run. If AI models become easier to train, there will be less investor appetite towards big players like OpenAI. Example: https://techcrunch.com/2025/01/27/nvidia-drops-600bn-off-its...
I was thinking about that, but don’t those same optimizations work on H100s? and the concepts work on every other chip from Nvidia and every other manufacturer’s chip

I still think this is bullish: more people will be buying chips once cheaper and more accessible, and the things the will be training with be 1,000% to 10,000% larger
What you are missing is that it turns out the gold isn’t actually gold. It’s bronze.

So earliest, the shovelers were willing to spend thousands of dollars for a single shovel because they were expecting to get much more valuable gold out the other end.

But now that it’s only bronze, they can’t spend that much money on their tools anymore to make their venture profitable. A lot of shovelers are gonna drop out of the race. And the ones that remain will not be willing to spend as much.

The fact that there isn’t that much money to be made in AI anymore means that whatever percentage of money would have gone to NVIDIA from the total money to be made in AI will now shrink dramatically.
Pretty much all of the cloud stuff has been reimplemented with open-source code by the community! See rebble.org.
I can't even listen to 50 Cent unfiltered on Youtube.
in any competence where you've taken instruction, you need to be practicing at a certain level to be able to receive meaningful direction or guidance. the same is true for leadership. the model in the article seems like a bit of a straw man that plays to a sense of resentfulness about cartoons of "alpha" figures, and it may ultimately be misleading by creating misguided critics.

just lift, read the stoics, and master something. you'll get there.
same. tools are not part of the codebase, nor dependencies.

you got to have isolation of artefact and tools around to work with it.

it is bonkers to start versioning tools used to build project mixed with artefact dependencies itself. should we include version of VSCode used to type code? how about transitive dependencies of VSCode? how about OS itself to edit files? how about version of LLM model that generated some of this code? where does this stop?
The legal document is a natural construct born out of the moral and behavioral instincts humans have.
like old school c64 games would do sometimes
And bias, especially in science and politics travels as a wave through time like a pendulum. Solving these systems, with the resistance measured in human lives, can take many generations.
You'd keep 5c. A significant number of people who find sums up around $2500 give it back unconditionally, with no expectation of reward. Whoever lost $2500 is having a really bad day.
Hey that should go well with my tin foil hat.
a bit worse. it is all mixed up. to keep separate dependency tree for tools need use old approach with go.mod. it is actually even worse now.
Do NOT work only your contract hours. It might seem like the logical choice but it rarely is because of following reasons :

1. You cannot build strong skills working just contract hours.
2. You cannot market your achievements by working only 40 hours. And in turn this makes you dispensable and more disposable.
3. You can't control your work which is probably the most important element of all this.
4. you can't search for great positions with the new skills you achieved if you only work 40 hours ...

Work in such a way that you get recognition for the hours worked.

Do important projects, not crappy side projects and MARKET THE HELL out of your work. Everyone should know what you are doing.

Every day at a job is a campaign to increase your salary massively - either at the job or somewhere else. (Btw, this is how most people in NYC think thought they may not admit it.)

You have to do impressive things and then use 3x your time marketing them to everyone else in the company. Everything else - money and promotions will follow.
(Process won't be pretty - but you won't be floundering nearly as much as others who don't take this advice.)
Yes exactly. The actual impetus this time was the article I posted here and how it got echoed and amplified by massive X accounts like Chamath and Naval.
> While they were exaggerating by saying, "a lot of protests"

This 7 year old article mentions 60 protests for a single election https://www.vanityfair.com/news/2017/10/how-russia-secretly-...

Obviously the number has grown since then, and this only includes a subset of the protests known to be organized by Russian agents.
We live in a hierarchical pyramid where there are alphas managing sub alphas and this happens at multiple resolutions within our society.

The ceos are groveling to investors, aka billionaires. I guess those guys are the true alphas.
I wouldn't assume that at all. Most of the senior devs I talk to on a regular basis think commercial* LLMs are ridiculous and the AI hype is nonsensical.

* I put commercial there as a qualifier because there's some thought that in the future, very specifically-trained smaller models (open source) on particular technologies and corpuses (opt-in) might yield useful results without many of the ethical minefields we are currently dealing with.
The current system is capitalism.

People view handouts as "socialism and bad", even UBI.

Under the current system, in order to get money, you have to do work that is so useful to some client, that they will pay you. Half of all Americans are working for corporations. They don't want to be out in the market trying to sell their services. They want stability so they can feed their family. And women want men to have a stable career etc.

The cascading effect of people who get laid off and are told "learn to X, LOL" will overwhelm X, it's like rats from a sinking ship.

Jeffrey Hinton said it the other day -- your utopian vision should help people, but we live in capitalism. So it will do the opposite.

And any historical analogies to what humans did in the past to adapt to challenges and competition are not really applicable because now AI will be far smarter than humans, and at better at organizing. And it will be deployed by governments and corporations which already have most of the power. Individual humans adapting could be as quaint as, say, horses adapting when cars were invented, or oxen adapting when tractors and combines were invented. The adaptation was to breed less horses and oxen. How's the horse population doing today?
Sounds like a great movie. When does it come out?
Rust Sub-Reddit Thread Around When(and When Not) to Wrap Heap Data in a Box
Most LLMs default to being sycophantic yes-men, but if you create a custom prompt, it can help mitigate any issues.

I have a custom prompt that instructs gpt4o to get aggressive about attacking anything I say (and, importantly, anything it says).

Here's my result for the same question:

https://chatgpt.com/share/67984aa9-1608-8012-be93-a77728ab8e...
I was trying to join a meeting in Teams from the calendar when up popped a “How are you enjoying Calendar” star rating dialog. I’ve never once listed “Office Calendars” amongst things that I enjoy. Much less now with this needy feedback blocking me from entering the meeting.
The internet would look like the spam folder of a compromised email address. No thanks.
Would WaPo have stopped endorsing if it was set to endorse Bezos' favoured candidate? Of those that stopped endorsing, what's the ratio by candidate they would've endorsed? If only the outlets who were set to endorse candidate A stop doing so, but those for candidate B keep doing so, do you still consider this an improvement? From some philosophical PoV it might be, but in terms of real world consequences, I'm not sure how it can.
I hope that’s the case. It’s certainly a lot less chilling than intentional censorship.
Maybe because the loudest news said it was bearish. Lot's of people let the media do their thinking for them.
Google does not do this for PR on Hacker News. It also seems improbable, maybe heroic, for one L6/L7 SWE to push this through.
"The hand of Vengeance found the bed
To which the Purple Tyrant fled;
The iron hand crush'd the Tyrant's head
And became a Tyrant in his stead."
-William Blake