MurphyA/hacker-news huggingface dataset:
by GovindhKishore | 2026-02-11 18:39:06+00:00
Congrats on the HN launch

As a student contributor, I’ve been diving deeper into Hive core and exploring how its outcome-driven agent architecture fits together. Recently, I worked on hardening the quickstart.ps1 onboarding script to improve reliability on PowerShell mainly around path handling and some tricky NativeCommandError edge cases to ensure smoother setup outside ideal dev environments.

It’s been interesting working on the infrastructure side of a framework that dynamically generates and evolves multi-agent systems. Making the onboarding and execution layers stable is just as important as the higher-level agent logic.

I’ve also been experimenting with a lightweight TTL-based dictionary cache to reduce redundant operations in certain workflows. Still iterating on the idea, but it’s been a useful exercise in thinking through state management and consistency trade-offs in evolving agent systems.

Looking forward to continuing to contribute and explore Hive further. Building systems that can evolve and stay stable under real constraints is a fascinating challenge.
by mindslight | 2026-02-11 18:39:06+00:00
> I am saying "No. Full stop." to the idea that we ever had a time when the government was attempting to carry out their roles in good faith.

This is such a strong claim, I don't know how it could even be supported.

At the agency level (the context of my original comment), this is effectively an assertion that the FDA has never meaningfully cared about food safety, NPS has always had some hidden motive for hosting visitors in parks, etc. I'm nowhere near the best person to wax eloquently about the value of government, and I'm probably coming from a much closer position to you of being skeptical, but I think we have to admit there is some value here.

At the level of individual government agents, it's even less supportable. For example, most ICE agents are not boxing in vehicles to create an excuse to execute their drivers. Most ICE agents are just trying to perform their stated purpose of enforcing immigration law. This is NOT a defense of the agency, their leadership, the tendency for agents to close ranks and defend their members, the totalitarian propaganda holding it all together, etc. Rather it's an acknowledgement of the actual nuanced reality that we have to recognize if we're going to attempt to reform it [0].

The point is that in all of these situations, there is authority being delegated to individual humans, who are then supposed to faithfully carry it out. This is why we have oaths of office, and whatnot. You seem to be rejecting this very idea of how any human structure necessarily functions, in favor of some idea that laws can be objectively defined and mechanically executed?

> I wish we could get the government to hold themselves accountable, however they would need to pass a law to override the concept and they do not seem to be in any hurry to do so.

but then:

> invite not only you but everyone to stand against bad laws and practices

What do you mean by "stand against" if not ultimately pushing for reform, likely culminating in demanding some kind of government-inconvenient legislation that curtails abuses?

[0] I use the word "reform" loosely here, I think the moderate option at this point is "abolish ICE".
by TimorousBestie | 2026-02-11 18:39:18+00:00
Oren Cass isn’t a conservative by contemporary standards; he’s a right-leaning centrist.

https://en.wikipedia.org/wiki/Oren_Cass

Ex-Romney staffer, pro-union, and his organization is self-described as "what the post-Trump right-of-center is going to be."

That’s a persona non grata in the current Republican party.
by frikk | 2026-02-11 18:39:34+00:00
OK i'm kind of geeking out on this one. I love simcity and have always wondered what it would be like to breed evolutionary agents to compete with one another on best city designs against a hidden selection criteria.

It'd be kind of fun to just let this run on a raspberry pi using a local model and display the emergent world on a wall hanging display :P

Thanks for sharing.

Update: What would it take to run this locally / offline? I'm not quite sure how the cloud flare layer works. Is it just for cheap/free object storage so the cities can live somewhere?
by marpstar | 2026-02-11 18:39:40+00:00
The most recent thing I've learned after a lifetime in the Midwest US: There's nothing like the 'Snow Wonder Snow Scoop'[1] for moving snow manually.

Someone left theirs at my wife's previous home and she's kept it since. I don't get sore after shoveling anymore. I have a snow blower but only use it when there's more than 6" on the ground.

I've tried other "push sled" style scoops and none of them work this well (and weigh so little).

[1]: https://snowscoop.com
by revicon | 2026-02-11 18:39:44+00:00
If you're on a mac, you can list all the IDs of your installed browser extensions across all your profiles like this...

find "$HOME/Library/Application Support/Google/Chrome" \
-type d -path "*/Extensions/*" -not -path "*/Extensions/*/*" \
-print 2>/dev/null | sed 's#.*/Extensions/##' | sort -u

Compare to the list of bad extensions. I stuck a stripped down list here...

https://www.sfbaylabs.org/files2/2026-02-11/chrome_extension...
by cherryteastain | 2026-02-11 18:39:45+00:00
> Has any of these outfits ever publicly stated they used Nvidia chips? As in the non-officially obtained 1s. No.

Uh yes? Deepseek explicitly said they used H800s [1]. Those were not banned btw, at the time. Then US banned them too. Then US was like 'uhh okay maybe you can have the H200', but then China said not interested.

[1] https://arxiv.org/pdf/2412.19437
by jaimerh | 2026-02-11 18:39:56+00:00
The Case for Preserving GPT-4o: Why Heuristic Intelligence Matters for Humanities Research
As OpenAI pivots toward a Codex-centric paradigm, a critical subset of users—particularly in the humanities and social sciences—faces a severe regression in utility. While GPT-5.2 excels at deterministic tasks like coding, it exhibits a noticeable flattening in complex, dialectical inquiries.
1. Methodological Integrity vs. Behavioral Scripting
In my historiographical research, especially in textual collation and source comparison, GPT-4o has shown superior capabilities. It holds variant textual traditions in tension while maintaining conceptual integrity. By contrast, newer models often revert to behavioral scripting—offering oversimplified summaries or flattened advice rather than the layered, nuanced framing critical for academic rigor.
2. The “Context Gap” in Qualitative Reasoning
When analyzing intergenerational dynamics in patriarchal systems, I need a model that can sustain contradiction—holding care and power in tension, without collapsing them into an “aligned” consensus. GPT-4o’s humane grounding allows it to generate language that reflects sociolinguistic nuance and cognitive complexity. That’s not “empathy”—it’s precision.
3. Platform Trust and the Risk of Abandonment
Sam Altman publicly assured that GPT-4o would be supported for at least one year. Many of us structured our long-term workflows accordingly. Now, we face sudden deprecation despite a 20k+ signature petition, raising concerns of platform instability. If OpenAI drops a model serving as a cognitive scaffold for humanities research, it signals a shift from “AI for Everyone” to “AI for Engineers.”
We urge the community to remember: Better isn't always newer. GPT-4o isn’t legacy—it’s irreplaceable for those of us who work with ambiguity, contradiction, and language as lived experience.
by vgeek | 2026-02-11 18:39:57+00:00
An easily visible one is air intakes. Many manufacturers have shifted to plastic. Peteo-engineering has advanced a lot, but they will still get brittle and break.

Interior wise, you can look at things like fabric durability-- lower deniers can be cheaper, but will wear sooner. Springs/foam in seats are another example, but this will vary across manufacturers, models and trims.

This isn't exclusive to financial engineering manufacturers like Stellantis or Nissan, either. Toyota has had issues with simple things like rust proofing (whether intentional or not) on 1st generation Tacomas leading to massive recalls and things like plastic timing guides prone to wearing out. Ford with the wet clutches having belts submersed in oil.
German cars needing body off access for rear timing chain maintenance at 80k miles. Water cooled alternators (really, VW?). All types of "why?" if you follow cars once they are 3+ years old.

It seems like there are a lot of regressions that probably result from cost cutting, while others may exist to simply drive service revenue.
by Aurornis | 2026-02-11 18:40:11+00:00
For others who were curious like I was: The website doesn't mention "open" or "source" anywhere, but they did give a talk at FOSDEM 2026 about it.

There was a passing comment about "when we open up the GitHub repository" in the talk. So it's not open yet, but they've suggested it might be in the future.
by vjerancrnjak | 2026-02-11 18:40:35+00:00
It's quite tricky as they optimize the agent loop, similar to codex.

It's probably not enough to have answer-prompt -> tool call -> result critic -> apply or refine, there might be a specific thing they're doing when they fine tune the loop to the model, or they might even train the model to improve the existing loop.

You would have to first look at their agent loop and then code it up from scratch.
by orwin | 2026-02-11 18:40:37+00:00
That's not surprising. Post 2000 Chomsky is worthless, he couldn't defend his original thesis without ad hominems and used his fame to put pressure on universities (it didn't work every time, but enough), he pushed a decade backward part of the linguistics field (after pushing it up maybe two decade forward, but that's not an excuse).

Especially in humanities where you don't have hard data, contradiction is the only way to advance, and he forgot that. He became too full of himself and too confident.
by carefree-bob | 2026-02-11 18:40:59+00:00
When economists were worried about "savings gluts", to decrease savings demand they advocated for things like government funded pensions.

If you read some of the literature out on China and their anomalous savings rate (household consumption is only 40% of national income) studies show that the lack of a social safety net exacerbates the problem and savings rates decline once you have the safety net.

One difference they noticed was the dramatic decline in savings rates as you go from rural to urban areas. In urban areas you have a different social safety net -- a government pension, but in rural areas the pension is optional and savings rates are dramatically higher. Because much social spending in China is handled at the provincial or city level and there are differences, it is a natural laboratory for these types of studies. It's also why you need a citizenship document when trying to "emigrate" into a city or different province, and there are internal controls that limit what city you can be registered in, which also affects things like car registration, real estate purchases, and access to local education in the city for people that are considered "migrants" - e.g. they physically live in the city but do not have enough points to be registered there.
by jdasdf | 2026-02-11 18:41:38+00:00
Most pensions are Pay as You Go systems where no investment actually occurs (or if it does it is vestigial).

Effectively no different from a regular ponzi scheme being used to purchase votes.

Self-investment has the actual investment there.

If pensions were fully-funded you'd be right, but they aren't in almost every country. Unfunded pension liabilities are well over 300% of GDP in most european countries, but since they don't show up on debt to gdp metrics, people aren't aware of it.

>The investment dollars in scope are similar, with pensions being better managed than your average human would do.

Also that is untrue.
by InitialLastName | 2026-02-11 18:41:40+00:00
> But regardless of power, what the NYC mayor does is widely reported and it's often a political stepping stone (if not always successful) to something greater.

The only "greater" things any recent NYC mayors have done are bankrolling presidential campaigns and failed coup attempts.

Looking back at it, the last NYC mayor who held a notable political position after their mayoral term was Robert Wagner.
by lukev | 2026-02-11 18:41:41+00:00
That may be a puff piece, but this comment reads like a slam? I don't know anything about her personally but the consensus among tech folks I follow and respect (and are politically aligned with...) are pretty universal in applauding the choice.

Disagreeing on politics is fine but let's not slam someone technically because we don't like them. Especially in a role where tech management is actually the way more relevant skill than hacking ability.
by scarecrowbob | 2026-02-11 18:41:52+00:00
“The fact that I was not prepared to resist, in 1935, meant that all the thousands, hundreds of thousands, like me in Germany were also unprepared, and each one of these hundreds of thousands was, like me, a man of great influence or of great potential influence. Thus the world was lost.”
― Milton Sanford Mayer, They Thought They Were Free: The Germans, 1933–45
by PlatoIsADisease | 2026-02-11 18:41:55+00:00
This is 10 year old outdated, but 10 years ago 1 button was ~1.00. Probably closer to $1.20 or $1.30. But sometimes buttons had 2 buttons on them, Those would go for $2.10-$2.30.

Then you had wiring each button wire I believe was $1. This wasnt 1 wire, but a few wires, power, ground, signal. Each button had them. This wasnt my job, so I didn't follow this price too much, but I asked the question at the time. I think going into the ECU, there is also a cost associated with it.

Anyway, you could assume 10 years ago, each button was $2. A car has 40-70 buttons? So its probably like $100 a car. Maybe $150 or $200 in today's money.

Also buttons and wires break, causing warranty problems.

At the time these vehicles were selling for under $20k at the bottom, and $40k at the top. So 1% of costs were buttons.

This doesn't even include the cost of hiring ~20 engineers to handle the buttons. ~6 people to check appearance and do testing... It doesn't include the assembly costs on the line. That 1% was just the cost of button + wire.
by Legend2440 | 2026-02-11 18:42:14+00:00
Your entire idea of economics is backwards.

There is more than enough work for everyone right now, and (outside of recessions) we will not run out: https://en.wikipedia.org/wiki/Lump_of_labour_fallacy

As more and more work is automated, the lifestyle level increases rather than decreases. Automation lets you produce more with the same amount of labor, increasing productivity and raising the standard of living. This is the sole reason we're not subsistence farmers right now.

War does not help the masses; it is purely destructive and one of the worst things you can do for the economy in the long run.
by Qem | 2026-02-11 18:42:36+00:00
Could be the case caffeine actually gets you addicted to bitter taste, instead of just indicating people with bitter taste preference, Pavlov style? Coffee is bitter, coffee is addictive. Perhaps this addiction to bitterness transfer to other foodstuff (vegetables). Decaffeinated coffee wouldn't allow the same transfer, by lack of the addictive ingredient.
by aed | 2026-02-11 18:42:40+00:00
https://hallucinatingsplines.com/mayors/bungeling-anthill-a2...

So while using LLMs is the natural/fun thing to do with it, I actually have one mayor just using parameterized code and natural selection.

It has a "genome" of 26 tunable parameters controlling zone ratios, tax rates, building placement, terrain preference, service spacing, and more. Each city, it stamps down 11x11 blocks (roads, zones, power corridors). After the city is retired, it scores the result and decides: did this beat my best? If yes, save those params. If no, mutate and try again. Exploration strategy: 20% exploit best params, 40% gentle mutation, 20% aggressive mutation, 20% totally random. Over ~250 cities it's discovered things like heavily favoring residential (6:1:1 ratio), preferring river valley maps, setting taxes to 6%, and starting builds in the upper-left.
by bradfa | 2026-02-11 18:43:24+00:00
GLM-5 at FP8 should be similar in hardware demands to Kimi-K2.5 (natively INT4) I think. API pricing on launch day may or may not really indicate longer term cost trends. Even Kimi-K2.5 is very new. Give it a whirl and a couple weeks to settle out to have a more fair comparison.
by hirako2000 | 2026-02-11 18:43:41+00:00
Sounds like the compacting issue.

> Compacting fails when the thread is very large

> We fixed it.

> No you did not

> Yes now it auto compacts all messages.

> Ok but we don't want compaction when the thread isn't large, plus, it still fails when the compacted thread is too large

> ...
by AlotOfReading | 2026-02-11 18:43:55+00:00
I think it's a case of wishful design. When they (or rather their own vibecoding tools) imagine how the tool is used, they aren't imagining that it's actually a human-machine interface, with the human actively engaged in the loop. Instead, the human is mostly expected to behave as a magical prompt oracle with a credit card and let the machine take care of the details.
by thousand_nights | 2026-02-11 18:43:58+00:00
i've never had to use control + o before but with the latest changes, i give Opus a simple task that should take a few seconds and it's like "used 15k tokens" and "thinking" for three minutes with absolutely zero indication or visibility as to what it's actually doing and i have to ESC ESC it to stop and ask what the FUCK are you actually doing claude?
by mnicky | 2026-02-11 18:44:00+00:00
What I haven't seen discussed anywhere so far is how big a lead Anthropic seems to have in intelligence per output token, e.g. if you look at [1].

We already know that intelligence scales with the log of tokens used for reasoning, but Anthropic seems to have much more powerful non-reasoning models than its competitors.

I read somewhere that they have a policy of not advancing capabilities too much, so could it be that they are sandbagging and releasing models with artificially capped reasoning to be at a similar level to their competitors?

How do you read this?

[1] https://imgur.com/a/EwW9H6q
by charcircuit | 2026-02-11 18:44:21+00:00
>Other productivity boosters certainly didn't need such memos; they were naturally adopted because the benefits were unambiguous.

This is simply not true. As a counter example consider debuggers. They are a big productivity boost, but it requires the user to change their development practice and learn a new tool. This makes adoption very hard. AI has a similar issue of being a new tool with a learning curve.
by throwaw12 | 2026-02-11 18:44:26+00:00
I don't want to criticise models for things they're not being trained on or constraints companies have. None of the companies said our models don't hallucinate and we always have right facts.

For example,

* I am not expecting Gemini 3 Flash to cure cancer and constantly criticising them for that

* Or I am not expecting Mistral to outcompete OpenAI/Claude on their each release, because talent density and capital is obviously on a different level on OpenAI side

* Or I am not expecting GPT 5.3 saying anytime soon: Yes, Israel committed genocide and politicians covered it up

We should set expectations properly and don't complain about Tianmen every time when Chinese companies are releasing their models and we should learn to appreciate them doing it and creating very good competition and they are very hard working people.
by marginalia_nu | 2026-02-11 18:44:43+00:00
Immigration policy is rather a consequence of a demographic pyramid[1] that isn't really looking much like a pyramid anymore. Socialized health care and pensions is really dependent on able-bodied working-age people outnumbering the old and infirm by a pretty large margin.

Lax immigration policies were thought a solution to that, though I think almost anyone would agree (non the least the immigrants themselves) that the implementation of this solution was bungled fairly spectacularly.

Regardless of the merits of immigration as a solution, the nordics are very much, along many other western countries, kind of stuck between a rock and a hard place with regards to the demographic distribution.

[1] https://upload.wikimedia.org/wikipedia/commons/6/6d/Sweden_p... (it's actually looking a bit better now. For a while it had a very sort of unfortunate buttplug shape)
by slg | 2026-02-11 18:45:01+00:00
Some people have this weird view of history in which everything is judged by the end state. They believe we can’t compare a situation to something like Nazi Germany if it is not identical to the final stages of that fascist regime. The problem with that thinking is it ignores how these regimes got to that point.
Not only do they constantly escalate their atrocities growing worse over time, but many of those atrocities simply weren’t and won’t be known until the regime is deposed meaning the in the moment understandings of their evilness is incomplete.
by vouwfietsman | 2026-02-11 18:45:03+00:00
This data is indeed not irregularly distributed, in fact the fun thing about geospatial data is that you always know the maximum extent of it.

About your binary tree comment: yes this is absolutely valid, but consider then that binary trees also are a bad fit for distributed computing, where data is often partitioned at the top level (making it no longer a binary tree but a set of binary trees) and cross-node joins are expensive.
by AlienRobot | 2026-02-11 18:45:16+00:00
Agreed. I find it ironic that online communities thrived on the detachment between the virtual persona that posts are associated to and the real persona that is writing the posts, but for one reason or another some people insist in connecting both.

It's a "need to know" basis, and I don't need to know your face, I don't need to know your gender, your age, where you are from, what job you have, I don't need to know your political affiliation, your religion, your other hobbies, what movies you watched, games you played, books you read, whom you follow, what communities you have joined. I don't need to know anything more than what the words in the post say.

When you "need" to know what is real you end up with social media like "BeReal" which is just an enormous privacy nightmare (requiring you to take photos at random times) just to make sure that people aren't editing photos or showing only the good aspects of their lives to the internet. Since when has "posting on the internet" become synonymous with a panopticon?
by amarant | 2026-02-11 18:45:27+00:00
I think we're witnessing a schism within the vampire community. By the end of the article, the author is less than subtle about being Dracula, and is trying to use the respect his name no doubt commands among vampires to get the unruly youth(relatively speaking) to get their shit together. This article is a warning to Thiel and Johnson. Dracula sees you, and he does not approve of what he sees.
Ask HN: If agentic AI is the future, why is every startup shipping a dashboard?
by ATechGuy | 2026-02-11 18:45:33+00:00
There's a lot of talk about agentic systems that AI can take actions, run workflows, and operate autonomously. However, when I look at AI startups, most of them seem to be building dashboards: analytics panels, control screens, monitoring tools.

If the goal is autonomous agents, why are we still shipping dashboards? Is this a trust issue, a sales issue, or something deeper about how companies adopt new tech?

Curious what you think.
by Retr0id | 2026-02-11 18:45:58+00:00
I also found this change annoying.

Often a codebase ends up with non-authoritative references for things (e.g. docs out of sync with implementation, prototype vs "real" version), and the proper solution is to fix and/or document that divergence. But let's face it, that doesn't always happen in practice. When the AI reads from the wrong source it only makes things worse, and when you can't see what it's reading it's harder to even notice that it's going off track.