MurphyA/hacker-news huggingface dataset:
by lloydatkinson | 2025-08-05 21:27:17+00:00
There's an interesting talk about AFD.sys here too: https://av.tib.eu/media/32819

The real-but-unofficial name is Another Fucking Driver. I see a lot of comments online of people saying they used to work at Microsoft or heard from a friend that works there explaining how it got this name, but I 100% remember watching a Microsoft Build conference (maybe ~10 years ago?) where the person who wrote it said on stage that he really did call it that, but they had to name it Auxiliary Function Driver for obvious reasons.

Sadly I can't find that talk anywhere on the internet, but it definitely happened.
by Alupis | 2025-08-05 21:27:23+00:00
> US aiding a country being invaded

Why can't the Germans send troops into Ukraine? Or the Brits (for all their grandstanding and bluster)?

Why must it be the US?

If "everyone" thinks Putin isn't going to stop with Ukraine, then it would seem Europe has an existential crisis to deal with - not the US, thousands of miles away...
by irthomasthomas | 2025-08-05 21:27:28+00:00
It shines on hard problems that have a definite answer. Google's IMO gold model used parallel reasoning. I don't know what exactly theirs looks like, but their Mind Evolution paper had a similar to my llm-consortium. The main difference being that theirs carries on isolated reasoning, while mine in it's default mode shares the synthesized answer back to the models. I don't have pockets deep enough to run benchmarks on a consortium, but I did try the example problems from that paper and my method also solved them using gemini-1.5. those where path-finding problems, like finding the optimal schedule for a trip with multiple people's calendars, locations and transport options.

And it obviously works for code and math problems. My first test was to give the llm-consortium code to a consortium to look for bugs. It identified a serious bug which only one of the three models detected. So on that case it saved me time, as using them on their own would have missed the bug or required multiple attempts.
by AstroBen | 2025-08-05 21:27:42+00:00
This is only the beginning. I can see myself having 100 Claude tasks running concurrently - the only problem is edits clash between files. I'm working on having Claude solve this by giving each instance its own repo to work with, then I ask the final Claude to mash it all together as best it can

What's 100x productivity multiplied by 100 instances of Claude? 10,000x productivity

Now to be fair and a bit more realistic it's not actually 10000x because it takes longer to push the PR because the file sizes are so big. Let's call it 9800x. That's still a sizable improvement
by hinkley | 2025-08-05 21:27:45+00:00
When carbon fiber rims were new we still had not transitioned to disk brakes. You had to keep an extra eye out for misaligned brake pads to make sure they weren't dragging on surfaces not meant for friction contact. Now they make more sense. But also different loads on a wheel under braking than before, but also more like a wheel under acceleration, which is torsional force on the other side of the axle and pointed the opposite direction.
by derekv123 | 2025-08-05 21:27:48+00:00
AGI Blueprint Details

This blueprint outlines the first publicly disclosed AGI architecture to integrate visual thought simulation, mnemonic-symbolic memory encoding, and internal contradiction resolution as core cognitive functions.

The system features a multimodal cognitive loop capable of constructing internal scenes, simulating abstract concepts, and self-monitoring belief networks using peg-word mnemonic grounding.

Originally published by Derek Van Derven in April 2025, this design serves as a practical, buildable roadmap for symbolic-visual AGI systems using current tools like LLMs, Neo4j, and Unity.
by Sophira | 2025-08-05 21:27:58+00:00
By the way, I would guess that this is almost certainly why LLMs can actually decode/encode base64 somewhat well, even without the help of any MCP-provided tools - it's possible to 'read' it In a similar way to how an LLM might read any other language, and most encoded base64 on the web will come with its decoded version alongside it.
by screye | 2025-08-05 21:28:38+00:00
Cursor + Claude 4 = best quality + UX balance. Pay up for 20/month subscription.

Cursor imports in your VSCode setup. Setting it up should be trivial.

Use Agent mode. Use it in a preexisting repo.

You're off the races.

There is a lot more you can do, but you should start seeing value at this point.
by citrin_ru | 2025-08-05 21:28:52+00:00
ZSTD is a great compression algorithm but an important PNG (v1.2) advantage is that implementations are available in almost all actively used operating systems and in most popular languages. The same cannot be said about ZSTD with very few implementations except https://github.com/facebook/zstd

I'm not even sure there is a good pure Java (no JNI) and Go (without Cgo) implementations for ZSTD. And it definitely would require more powerful hardware - some micro-controllers which can use PNG are too small for ZSTD.
by firefax | 2025-08-05 21:29:01+00:00
No longer? They were bitching and moaning when I visited fifteen years ago in my hostel. They got horrified when I told them they're coddled to be annoyed about 15 minute delays and spoke on how things are in the states... anyways this is troubling I guess... but it's not new.

Edit: also, I found the English UI to be the best in the EU (yes, better than UK's) and traveled the continent on DB, so while I sympathize with wanting things better... as an American it was a pretty good system.
by throwup238 | 2025-08-05 21:29:50+00:00
EUV was developed with in a Cooperative Research and Development Agreement between the US Department of Energy, Intel, ASML, and so on - giving Congress control over who ASML sells the EUV technology to.

So yes, US companies do have a choice. They can lobby Congress to cut off TSMC from their main hardware and parts supplier entirely, crippling it altogether, except for their Arizona plant which is ripe for nationalization for natsec.
by tick_tock_tick | 2025-08-05 21:29:55+00:00
Honestly it's not really bubbling like we expected revenues are growing way too fast income from AI investment is coming back to these companies way sooner then anyone thought possible. At this rate we have another couple of 20+% years in the stock market for there to be anything left of a "bubble".

Nvidia the poster-child of this "bubble" has been getting effectively cheaper every day.
by jjmarr | 2025-08-05 21:30:08+00:00
The use of en dashes and short staccato sentences for rhetorical flourishes are a giveaway. AI writes like a LinkedIn post.

> Why? Because LLMs don’t just autocomplete. They generate. And in doing so, they challenge our identity, not just our workflows.

is what raised flags in my head. Rather than explain the difference between glorified autocompletion and generation, the post assumes there is a difference then uses florid prose to hammer in the point it didn't prove.

I've heard the paragraph "why? Because X. Which is not Y. And abcdefg" a hundred times. Deepseek uses it on me every time I ask a question.
by aswegs8 | 2025-08-05 21:30:12+00:00
If you're really interested in that and not just trolling, these are the measures used by the study:

After adjustment for sex, BMI, hsCRP, and sCD163, semaglutide significantly decreased epigenetic aging: PCGrimAge (-3.1 years, P = 0.007), GrimAge V1 (-1.4 years, P = 0.02), GrimAge V2 (-2.3 years, P = 0.009), PhenoAge (-4.9 years, P = 0.004), and DunedinPACE (-0.09 units, ≈9 % slower pace, P = 0.01). Semaglutide also lowered the multi-omic OMICmAge clock (-2.2 years, P = 0.009) and the transposable element-focused RetroAge clock (-2.2 years, P = 0.030).
by at-fates-hands | 2025-08-05 21:30:23+00:00
I've been doing research for the last 20 years.

Every single year I talk to companies and the cost has gone down, barely. I've been told every year for the last 20 years that technology is getting so much better. The panels are so much more efficient, cost less, the state and federal govt have tax breaks, blah blah, blah. The Chinese have found a way to produce them this way and that way, "Oh you just wait, its really going to be affordable in the next few years!"

No, its still not affordable. If it were, like OP said you would see them on every house in your neighborhood.

I've wanted to put solar on my house for very long time and every year its the same thing. "Finance a $15,000 loan and in ten years you'll have free electricity!!"

I would say anybody who's rational, informed and interested looking at that would 100% of the time its not worth it.
by coltonv | 2025-08-05 21:30:33+00:00
I've done a few of these types of hands off and go to a meeting style interactions. It has worked a few times, but I tend to just find that they over do it or cause issues. Like you ask them to fix an error and they add a try catch, swallow the error, and call it a day. Or the PR has 1000 line changes when it should have two.

Either way, I'm happy that you are getting so much out of the tools. Perhaps I need to prompt harder, or the codebase I work on has just deviated too much from the stuff the LLMs like and simply isn't a good candidate. Either way, appreciate talking to you!
by 8bitsrule | 2025-08-05 21:30:34+00:00
As an US undergrad decades ago, at a major (non-elite) research school, I was already discovering these criticisms of the current academic system, in action, way back then. So I don't think we can blame much of any 'fraud' increase going on today on that system. Today, perception of fraud may be on the increase.

(I started to become alert to what that program was really about when I took one of the classes -critical- to my major. It involved a lot of heavy math, and was being taught by a TA with a -very poor- command of the English language. When I complained, my Princeton-grad advisor's reply was 'this course is to separate the men from the boys'. Yeah, thanks pal.

So far as I know, he published very few cited papers.)
by gamblor956 | 2025-08-05 21:30:43+00:00
This is backwards.

The AI bubble is so big that it's draining useful investment from the rest of the economy. Hundreds of thousands of people are getting fired so billionaires can try to add a few more zeros to their bank account.

The best investment we can make would be to send the billionaires and AI researchers to an island somewhere and not let them leave until they develop an AI that's actually useful. In the meanwhile, the rest of us get to live productive lives.
by immibis | 2025-08-05 21:31:00+00:00
The US has an excess of money due to the long-term consequences of the Bretton Woods system: it gets to export the externalities of its money printing to the whole world, so it gets to print a lot more money than other countries. That's combined with an amplification effect, because investor money tends to go to the places that have lots of money that could potentially be the investor's return.
by themafia | 2025-08-05 21:31:09+00:00
> I suspect that this info is intentionally down-played so that it doesn't affect sales.

Yea, hard to figure out why drug companies keep producing "Faustian bargains" in our current system. What galls me is people assume the best for new drugs instead of forcing the _for profit_ entity to prove it's actually safe and useful.

To the extent that, reliably, the first comment on these posts on Hacker News are some wishy washy anecdotal emotional blackmail garbage that completely obfuscates the point and runs direct interference for these large profitable organizations.

To the extent that it's hard to believe that these posts even on this tiny corner of the internet aren't bought and paid for. We live in a society that cherishes organized crime and denigrates hard work. I would not look forward to "new drugs" in this regime.
by GuinansEyebrows | 2025-08-05 21:31:42+00:00
> I don't know why people expect the automation of intellect and creativity to be any different. Working at a keyboard instead of on a factory floor doesn't exempt you from the incentives of capitalism.

people are, unfortunately, and collectively, not ready to seriously interrogate the economic or political situations in which we find ourselves. we will never see the utopian promise of automation under capitalism. there will always be an underclass to exploit.
by dylan604 | 2025-08-05 21:32:16+00:00
Interesting to see if California follows suit. Governor Newsom has his eye on the 2028 prize it seems. If the Dems do not wake up and start playing the same game the GOP is playing, they will never win. Taking the higher ground is such a nice concept, but it's also what losers say to feel good about not winning. Meanwhile, those willing to break/bend/change rules to ensure they continue to win will, well, continue to win.
by antonvs | 2025-08-05 21:32:29+00:00
You asked whether it's really better than "what we already had with search engines, online documentation and online Q&A sites".

How have you found it not to be significantly better for those purposes?

The "not good enough for you to trust" is a strange claim. No matter what source of info you use, outside of official documentation, you have to assess its quality and correctness. LLM output is no different.
by kelnos | 2025-08-05 21:32:34+00:00
I wouldn't be too prescriptive. I have Pro, and it's fine. I'm not an incredibly heavy user (yet?); I've hit the rate limits a couple times, but not to the point where I'm motivated to spend more.

I haven't tried it myself, but I've heard from people that Opus can be slow when using it for coding tasks. I've only been using Sonnet, and it's performed well enough for my purposes.
by ac29 | 2025-08-05 21:33:02+00:00
> It says “usage-based pricing” is coming soon. I think that is the sweet spot for a service like this.

Agreed, though there are already several providers of these new OpenAI models available, so I'm not sure what ollama's value add is there (there are plenty of good chat/code/etc interfaces available if you are bringing your own API keys).
by andrewmcwatters | 2025-08-05 21:33:13+00:00
React itself is problematic enough considering its design is incoherent (now server-side rendered functional stateless programming with side effects,) but the other question is "What React?"

React isn't 12 years old, React is 5 different libraries, with paradigms that have lived for about roughly 2 years on average.

I don't know about you, but my projects are more mature than 2 years old. I don't have the patience for that kind of bullshit.

And I've done this stuff long enough to know if the kids decide this is the new fashion, the old stuff might incidentally still work, but all of the library's attention is going to be on what the maintainers are working on.

So React is now a server-side rendered, functional, stateless component library with side effects.

And that sounds like the dumbest thing I've ever read in web development.
by pertymcpert | 2025-08-05 21:33:13+00:00
I've read so many resumes over the last few years that I'm just completely overwhelmed by the practice. In fact I now judge resumes unfavorably if they use it more than very sparely.

The best resumes I read (and the strongest candidates) were ones which were very confident in their skills and experience. They showed a bit of personality (as much as you can).
by bitmasher9 | 2025-08-05 21:33:30+00:00
I actually want a seasoned developer that has 10xed with AI to give a conference talk about how they use AI with a live coding demonstration. If the productivity utopia is a hard path few travel then there might be a delay until the majority of devs get there. I want one or two people to show me the way.

Right now I think it might just be a 1.5x boost, and most of the people claiming it’s more are just shovel sellers overstating the quality of near by mines.
by pocketarc | 2025-08-05 21:33:44+00:00
Others have already said it, but it needs to be said again: Good god, stop treating LLMs like oracles.

LLMs are not encyclopedias.

Give an LLM the context you want to explore, and it will do a fantastic job of telling you all about it. Give an LLM access to web search, and it will find things for you and tell you what you want to know. Ask it "what's happening in my town this week?", and it will answer that with the tools it is given. Not out of its oracle mind, but out of web search + natural language processing.

Stop expecting LLMs to -know- things. Treating LLMs like all-knowing oracles is exactly the thing that's setting apart those who are finding huge productivity gains with them from those who can't get anything productive out of them.
by DharmaPolice | 2025-08-05 21:35:12+00:00
Every person I know who tried to give up smoking has the same story - they were successful for a while and then they encountered some stressful moment (exam, work deadline, etc) and they fell off the wagon. One explanation could simply be that normally we have food stresses which manifests in general stress which we relieve via video games or whatever else. If these drugs turn down the volume of hunger then maybe this has the benefit of reducing the need for stress relieving behaviours in general.
by firefax | 2025-08-05 21:35:39+00:00
Not only an industry, it can make you isolated an even drop out of a PhD if you're not part of it. I found myself subject to demonstrably false claims in paper reviews because I stood up for academic integrity. Because I am kind, I have chosen not to out those reviewers, but I was pretty goddamn offended since my work involved vulnerable populations and censorship circumvention, so by silencing my research folks were not simply stymieing my ego, but harming vulnerable populations in the name of... of what?

Being a professor/researcher is not lucrative. I get the drive to "get funding" but... my impression was that narcissistic cheaters from undergrad couldn't get industry jobs and doubled down on their unethical behavior at the expense of those of us trying to actually do useful work for civil society.

I might not have had a 4.0 GPA or been the guy always getting into top tier venues, but at least my work was my own work, and it was solid.
by alganet | 2025-08-05 21:35:58+00:00
AI is psychologically dangerous. It's the greater risk. It can influence people do to things.

The environment talk is perhaps relevant, but if eventually AI becomes ecologically friendly, then people who are against it would be left with no argument.

I'm skipping over to the core of the problem right away. It's a risk to human minds, always. The eco talk is probably relevant, but most likely it's more resounding as a bait to make you look like a tree-hugger that doesn't know what you're talking about.
by mik3y | 2025-08-05 21:36:14+00:00
Ugh, you gave me bad flashbacks of the same committee.

I tried to re-license a previously-released project (like from GPL to MIT or similar) and they wouldn't budge. I had written all the code.

In the end, I decided that them suing (or firing) me to assert their ownership of $VALUELESS_PROJECT, so they could then license it back, was ridiculously unlikely, said fuck it, and did it. And I was right.
by zaptheimpaler | 2025-08-05 21:36:20+00:00
I think if you're paying any attention to the state of the world, you can see labor is getting destroyed by capital - bad wages, worse working conditions including more surveillance, metrics everywhere, immoral companies, short contracts and unstable companies/career paths, increasing monopolization and consolidation of power. We were so insulated from this for so long that it's easy to not really grasp how bad things are for most workers. Now the precarity of our situation is dawning on us.
by Quarrelsome | 2025-08-05 21:37:03+00:00
Sure, I'm extrapolating what I read as strong language in your article as being a direct attack on making the code precise and flexible over good enough to ship (mediocre code, first-pass, etc). I imagine this might continue to be a battleground as adoption increases, especially at orgs with less engineering culture, in order to drive down costs and increase agentic throughput.

However there is a bit of irony in that you're happy to point out my defensiveness as a potential flaw when you're getting hung up on nailing down the "10x" claim with precision. As an enjoyer of both articles I think this one is a fair retort to yours, so I think it a little disappointing to get distracted by the specifics.

If only we could accurately measure 1x developer productivity, I imagine the truth might be a lot clearer.
by nick486 | 2025-08-05 21:37:13+00:00
I'm open to the idea that i somehow caught an outlier. then again, its a lab integrated to the general eu funding schemes, so it can't be that much of an outlier.

your summary of a grant request doesn't really sound all that different from mine tbh, just more charitable. Its just that i naively came in with the expectation that it would be something like "we need X$ to explore domain $Y" "sure. here you go", then 2 years later "we found x y and z, see $papers, now we'd like $x2 to explore $y2". and back to square 1/2.

a full broadcast over all available and unavailable channels of "please, master grant officer, just a few coins to explore $X a bit further, we'll very certainly find $Y", i was not ready for.

Im overdoing the tone a bit to highlight that it had to be tuned to the grant officer, way more than it had to be tuned to reality. to promise to find whatever was popular in the field at the time. regardless of the practical facts of the field. because the people evaluating the proposal didnt know shit about the field.

so when you were in the trench every day, it just sounded like absolute parody of what we were actually doing, explained to a kindergartener.

i realize this comes off as a knock on my boss way more than I'd like. i absolutely don't mean to. he did what had to be done, so that his team can keep working, within the system he had to work with to move our field forward. and the money we got was well spent, no doubt here.

but my view was : if I work my ass off for 10 years, I can be this guy. Do I want this? and the answer was a resounding, definitive "hell no".

all the paper publishing shenanigans were just extra irritants that sealed my decision.
by firefax | 2025-08-05 21:37:15+00:00
comedy option: visit as a tourist and show up in their office.

I did this to someone who ripped off my master's thesis, word for word, as a side trek on holiday and it was like steam came out their ears when they realized if they call the campus authorities to escort me out they'd generate an incident report of why I was there.

Edit: This was not in China btw -- ironically despite the stereotypes all the folks I've collaborated with from there have been pretty ethical and hardworking, it's a shame some ruin things for everyone.
by HocusLocus | 2025-08-05 21:37:30+00:00
AI [companies] are starting to publicly frame AI concerns around grid power demand. They think this broadcasts them as "good corporate stewards" among people concerned about grid energy demand and 'climate change' and 'AI carbonara' in general.

In North America, the US has committed to natural gas turbines and petroleum forever. Not because of any good and evil stooges in politics... but because they have rejected the energy density of nuclear power for whatever reasons decades ago. which was then and now ONLY other comparable energy source on the table.

It will backfire. AI people (like Musk who went big sensibly with natural gas turbines in Memphis)is being targeted and chased because of them. And AI is NOT the (direct, local) job creator it was promised to be.

What it's actually doing is conflating the two. People will react to turbine fumes from AI plants today, to a greater extent than they would even react to a natural gas electric power plant on the same property.

So AI plants will be chased away from cities, relocate near existing power plants, then they will be attacked again by people forcing them to buy 'carbon credits' directly. Most cannot relocate near a nuclear plant because there will be no nuclear growth in the short term and AI lives in the short term.

So AI [plants] will be chased away from people, and then into orbit.

Is everyone okay with that?