MurphyA/hacker-news huggingface dataset:
by noncentral | 2026-02-06 03:37:44+00:00
Just a quick comment on the “fact vs fiction” issue. Humans don’t reliably solve that either. For most of history, people believed the Earth was flat because every local observation they had access to pointed in that direction. Their frame of reference was simply too limited to reveal the error.

RCC isn’t claiming that LLMs are uniquely flawed. The point is that any system working with partial visibility(humans included)can’t guarantee globally correct judgments. What counts as “fact” only becomes stable when there is an external reference frame, and embedded agents don’t have access to one.

RCC just states these limits in geometric and observability terms.
by pseudohadamard | 2026-02-06 03:38:47+00:00
Yup. It's so bad that the cURL folks famously stopped accepting AI-generated reports because they were drowning in slop. So the post, which incidentally also looks AI-generated, is praising its ability to generate slop.

Another thing with these success stories is that they often target old, incredibly crufty code bases which are practically guaranteed to have vulns in there somewhere, so you'll always get one or two wins in amongst the avalanche of slop. It'd be interesting to see how well this does against standard SAST benchmarks.
by IAmGraydon | 2026-02-06 03:39:07+00:00
I'm not sure what your knowledge level of the inner workings of LLMs is, but a model doesn't need search or even an internet connection to "know" the information if it's in its training dataset. In your example, it's almost guaranteed that the LLM isn't searching books - it's just referencing one of the hundreds of lists of those spells in it's training data.

This is the LLM's magic trick that has everyone fooled into thinking they're intelligent - it can very convincingly cosplay an intelligent being by parroting an intelligent being's output. This is equivalent to making a recording of Elvis, playing it back, and believing that Elvis is actually alive inside of the playback device. And let's face it, if a time traveler brought a modern music playback device back hundreds of years and showed it to everyone, they WOULD think that. Why? Because they have not become accustomed to the technology and have no concept of how it could work. The same is true of LLMs - the technology was thrust on society so quickly that there was no time for people to adjust and understand its inner workings, so most people think it's actually doing something akin to intelligence. The truth is it's just as far from intelligence your music playback device is from having Elvis inside of it.
by qarl | 2026-02-06 03:40:48+00:00
Dude.

Microsoft paid my company a lot of money to write code. And in the end you were able to count it, and the LOC is a perfectly fine metric which is still used today to measure complexity of a project.

If you actually work in software you know this.

I have no idea what point you're trying to make - but I've grown very tired of all the trolls attacking me. Good night.

EDIT: OH. You mean that people don't cite LOC in contract deliverables. Yeah, I know. I never said that, and it's irrelevant.
I shipped 706 commits in 5 days with Taskwarrior and Claude Code
by neilbb | 2026-02-06 03:40:54+00:00
Site: https://ttal.guion.io

706 commits, 38 PRs merged, 5 repos, 5 days. One person with max 5 Claude Code sessions.

The stack: Taskwarrior as the task queue, Zellij as the session manager, Claude Code as the worker. Each CC session runs in a Zellij pane with a task assigned. When a session finishes, the next highest-urgency task auto-starts via Taskwarrior hooks. You manage tasks, not sessions.

Thursday I got API rate-limited and throughput dropped 75%. That's the proof - the system was the bottleneck, not me.

The key design: on-demand human-in-the-loop. Agents never block waiting for me. They pick up tasks, do the work, commit, and move on. I review PRs and make decisions when I'm ready - not when the agent needs me. That's what eliminates the human-as-bottleneck problem. 5 sessions is plenty when none of them are waiting on you.

The full setup is documented on the site. Architecture isn't locked to Claude Code - Zellij sessions don't care what CLI agent runs inside them.
by deaux | 2026-02-06 03:40:59+00:00
A picture is worth a thousand words.

[0] https://cdn8.openculture.com/2017/08/20195126/800px-Soviet_c...

[1] https://live-production.wcms.abc-cdn.net.au/41868a585464d87b...

..That said, what you're saying could be true. I think the truth is that we don't know, and I'm pretty sure we would've felt the same way about the people in the above pictures.
by tudelo | 2026-02-06 03:41:12+00:00
First off, appreciate you sharing your perspective. I just have a few questions.

> I've gone back to managing the context window in Emacs because I can't be bothered to learn how to deal with another model family that will be thrown out in six months.

Can you expand more on what you mean by that? I'm a bit of a noob on llm enabled dev work. Do you mean that you will kick off new sessions and provide a context that you manage yourself instead of relying on a longer running session to keep relevant information?

> Unironically learning vim or Emacs and the standard Unix code tools is still the best thing you can do to level up your llm usage.

I appreciate your insight but I'm failing to understand how exactly knowing these tools increases performance of llms. Is it because you can more precisely direct them via prompts?
by tomhow | 2026-02-06 03:41:15+00:00
We buried the post for seeming obviously-LLM-generated. But please email us about these (hn@ycombinator.com) rather than posting public accusations.

There are two reasons why emailing us is better:

First, the negative consequences of a false allegation outweigh the benefits of a valid accusation.

Second and more important: we'll likely see an email sooner than we'll see a comment, so we can nip it in the bud quickly, rather leaving it sitting on the front page for hours.
by golem14 | 2026-02-06 03:41:51+00:00
Maybe you and I have vastly different experience with police. Disclaimer: From a rather small US state.

Your other note is also well taken, it does however not imply that anything a kid or teen does is OK or automatically positive.

Finally, it's OK to be suspicious. I am too. What I am saying is that one cannot just make the decision "all cops are evil or must be treated as such" and then hope for a good outcome in all cases. I argue it's a better policy to keep an open mind and decide on a case by case basis.
by dev_tty01 | 2026-02-06 03:41:52+00:00
It is possible that AI is both over-hyped and is (or is becoming) a useful tool. The two can co-exist. Based on my own experience it is useful and it is a huge time saver, especially for experienced engineers who can figure out when to use it and when to avoid it. Trying to ignore AI is as unwise as ignoring any other new tool. I imagine lots of people thought static analysis tools were never going to live up to the hype and didn't need be part of a standard build/debug flow.
by onyx_writes | 2026-02-06 03:41:53+00:00
Nice taxonomy. One thing this evolution highlights is how much complexity is absorbed by the serving layer to preserve the "full context attention" abstraction that users expect.

What's interesting is the tension between two approaches to managing attention costs:
1. More sophisticated caching (this article's focus) - keep full attention but make storage/retrieval cheaper
2. Attention modifications - sliding window, sparse attention, state-space models that need less caching

Era 3's heterogeneous caches feel like the cracks showing - we're not just caching one kind of state anymore, we're managing a zoo of different memory patterns. The article's Era 5 "unified hybrid" vision is appealing, but I wonder if the simpler path is attention architectures that are more cache-friendly by design, rather than caches that can handle arbitrary attention patterns.

The OS paging analogy that PagedAttention drew from is apt - and just like with OS memory, sometimes the answer isn't better paging but simpler access patterns.
by pcloadlett3r | 2026-02-06 03:42:10+00:00
> it's probably good enough to use, yea.

Not for general purpose use, only for demo.

> that reasonably working software of equivalent complexity is within reach for $20k to solve

But if this can't come close to replacing GCC and can't be modified without introducing bugs then it hasn't proven this yet. I learned some new hacks from the paper and that's great and all but from my experiencing of trying to harness even 4 claude sessions in parallel on a complex task it just goes off the rails in terms of coherence. I'll try the new techniques but my intuition is that its not really as good as you are selling it.
by onyx_writes | 2026-02-06 03:42:39+00:00
The observation about the expression syntax ("grew in the dark, unsupervised") nails it. There's a pattern here: every CI system starts as "just configuration" and eventually grows an informal, incomplete DSL that nobody wanted.

GitHub Actions expression syntax, Jenkins Groovy pipelines, CircleCI 2.0's command expressions - they all hit the same wall: configuration files that are secretly programs, but without the tooling (type checking, debugging, testing) that actual programs get.

The Garnix example at the top hints at the escape route: systems where you declare what needs to happen (build this flake, test this package) rather than how to orchestrate it. The more your CI config looks like a program, the more you should probably just write a program and call it from a one-line CI file.
Rdrama Down for the last 2 days
by BWC_profile_GIF | 2026-02-06 03:43:14+00:00
The super hacker site known as "Rdrama" is down. From what the insider channels are leaking, the upper management crashed it over profile GIFS. No joke. One user (BWC) got it into their heads to massively increase the filesize of profiles to accomdate longer gifs. Supposedly it could be even a movie. Legends say someone put all of a star trek episode on theirs. Now the website is history, lost to time.
by roywiggins | 2026-02-06 03:43:56+00:00
"Allegations" from the exact judges whose orders aren't being enacted? The orders in question are pretty simple: release this guy. Don't take this guy out of state. It's pretty clear when they're not being followed. This guy is not a slouch:

https://www.politico.com/news/2026/01/27/patrick-schiltz-jud...

https://storage.courtlistener.com/recap/gov.uscourts.mnd.230...

https://storage.courtlistener.com/recap/gov.uscourts.mnd.230...

Did you notice that one article I linked involved a DoJ lawyer admitting that she couldn't convince ICE to obey court orders that she was trying to transmit to them? That's beyond an allegation and into admission. How is that not evidence?
by pseudohadamard | 2026-02-06 03:44:36+00:00
Oh, absolutely, 99% of users and particularly business users don't need a gaming-grade GPU so the Intel one is fine.

Just for a laugh I once tried playing a 10-15 year old game on a recent Intel GPU. It was pretty dire, many seconds between frame updates. It took me several minutes just to get out of the game because it took so long to respond to keypresses.
by cxr | 2026-02-06 03:44:45+00:00
In the first place, no one said they needed to, only that they probably did.

Secondly, it's not "3000 extensions". They didn't somehow magically divine that the 2953 (+/-47) extensions we see here were the ones that they needed to download in order to be able to exploit the content-accessible resources described in their extension manifest. They looked at a much larger set, and it got filtered down to these 2953 that satisfied the necessary criteria.
by dddgghhbbfblk | 2026-02-06 03:44:46+00:00
ChatGPT has a pretty obvious writing style at the moment. It's not a question of some nebulous "AI detector" gotcha, it's more just basic human pattern matching. The abundant bullet points, copious bold text, pithy one line summarizing assertions ("In the AI era, simplicity isn’t just elegant. It’s essential."). There are so many more in just how it structures its writing (eg "Let’s address this head-on."). Hard to enumerate everything, frankly.
by helterskelter | 2026-02-06 03:45:49+00:00
It's going to be a headache if America and Europe can't share code and we see the balkanization of Linux and FOSS in general. Developers, many who work for free, will potentially have a whole lot of hoops to jump through to submit (or accept) code, and there's the potential for them to commit serious crimes without even realizing it.

Yes it's great for sovereignty, but I really hope it doesn't get to that point.
by anupamchugh | 2026-02-06 03:48:01+00:00
Agent teams in this release is mcp-agent-mail [1] built into
the runtime. Mailbox, task list, file locking — zero config,
just works. I forked agent-mail [2], added heartbeat/presence
tracking, had a PR upstream [3] when agent teams dropped. For
coordinating Claude Code instances within a session, the
built-in version wins on friction alone.

Where it stops: agent teams is session-scoped. I run Claude
Code during the day, hand off to Codex overnight, pick up in
the morning. Different runtimes, async, persistent. Agent
teams dies when you close the terminal — no cross-tool
messaging, no file leases, no audit trail that outlives the
session.

What survives sherlocking is whatever crosses the runtime
boundary. The built-in version will always win inside its own
walls — less friction, zero setup. The cross-tool layer is
where community tooling still has room. Until that gets
absorbed too.

[1] https://github.com/Dicklesworthstone/mcp_agent_mail
[2] https://github.com/anupamchugh/mcp_agent_mail
[3]
https://github.com/Dicklesworthstone/mcp_agent_mail/pull/77
by golem14 | 2026-02-06 03:49:22+00:00
Are we not talking about radiating away the energy used to run the DC ? I assume the solar panels should face the sun, radiate leftover energy away, hopefully as little as possible as solar cells get more efficient.

The radiators are for dissipating the waste heat coming from the data center equipment. I'd agree they better not be pointed at the sun ;) In fact, the DC should probably hide behind the solar array to not pick up extra heat from the sun.

The radiators, also behind the solar array, will also be hot because of the DC waste heat being conducted there ;)

I probably completely misunderstood your point.
by tqian | 2026-02-06 03:49:49+00:00
To borrow a concept of cloud server renting, there's also the factor of overselling. Most open source LLM operators probably oversell quite a bit - they don't scale up resources as fast as OpenAI/Anthropic when requests increase. I notice many openrouter providers are noticeably faster during off hours.

In other words, it's not just the model size, but also concurrent load and how many gpus do you turn on at any time. I bet the big players' cost is quite a bit higher than the numbers on openrouter, even for comparable model parameters.
by 22c | 2026-02-06 03:50:46+00:00
I tried teams, good way to burn all your tokens in a matter of minutes.

It seems that the Claude Code team has not properly taught Claude how to use teams effectively.

One of the biggest problems I saw with it is that Claude assumes team members are like a real worker, where once they finish a task they should immediately be given the next task. What should really happen is once they finish a task they should be terminated and a new agent should be spawned for the next task.
by picklepixel | 2026-02-06 03:52:25+00:00
I built this because I pay for multiple subscriptions and I want to use them all in the same place at the same time.

HydraMCP an MCP server that connects different LLM providers such as ChatGPT, Gemini, Claude and any local model(if you got the hardware) as a tool to be accessed by Claude Code, but here is the catch, you can use your subscription based account for any of these providers instead of an API key and therefore save yourself lots of money. basically use what you pay for on your own way.

five tools exist: you can ask a model, compare models in parallel with side by side metrics, poll models for consensus with an LLM judge to evaluate, synthesize responses from multiple models into a combined answer, list all accessible models by your providers.

happy quota burning!
by SmrutiS | 2026-02-06 03:53:50+00:00
Location: California, Chicago
Remote: Yes (Also open to in-office), Hybrid
Willing to relocate: Yes (anywhere in US)
Technologies: Python, R, SQL, Tableau, Looker, Power BI, AWS( S3, Lambda, Redshift), Google Cloud Platform, Machine Learning models, Statistical models, HTML, CSS, Git, Docker
Looking for: Data Analyst, Product Analyst, Implementation Engineer, Data Engineer, Cloud Security
Résumé:https://drive.google.com/file/d/1E0NOGMFPFJRYjMnKqCa7DSKSvYO...
Email: smruti.s.singh@gmail.com
Website: https://smruti-singh.vercel.app
Linkedin: https://www.linkedin.com/in/smruti-singh

About me: Data Analyst with a strong foundation in SQL-based analysis, data modeling, and dashboarding. I also have 2 years of experience working with cloud and security technologies in customer-facing roles, translating complex technical concepts into clear, impactful outcomes.
by kjellsbells | 2026-02-06 03:55:05+00:00
I'm struck by how oblivious the European manufacturers are, that they would pull such a user-hostile move. Autos are such a big part of the political machine in Europe they probably think they are immune from the winds of change.

But with the collapse of US/EU relations and the subsequent cozying up to China, it's not impossible that the Chinese demand access to the EU markets in exchange for assistance. Good luck selling that pricey BMW or Audi when BYD and Xiaomi cars are better value all around. It'll be like when the Datsuns first arrived in the US: derided until suddenly they were to be feared, and by then it was too late.

If I was the leader of the auto union in Germany, I´d be terrified that my company leadership was shooting itself in the foot just as the opposition were on my doorstep.
by rvz | 2026-02-06 03:55:11+00:00
When VCs and investors keep saying 'There will be new jobs', they never tell you exactly what they are - on purpose.

Now we know that it is actually being a data labeller, AI tutor and content moderator, but in very low wage countries such as in India.

This is the post-AGI reality. 'Abundance', but not for you.
by eltotodiez | 2026-02-06 03:55:34+00:00
I tested Claude Opus 4.6's agentic capabilities by giving it a single prompt: build and deploy a landing page about yourself and your new features.

The model autonomously: fetched official documentation, designed the UI, implemented the code, and deployed to GitHub Pages.

Full prompt and source: https://github.com/lorenzotomasdiez/claude-opus-4-6

Key takeaway from testing: Opus 4.6 isn't "smarter" but handles long contexts much better (76% vs 18.5% on retrieval benchmarks). Worth it for large codebases, probably overkill for most tasks.
by donavanm | 2026-02-06 03:55:38+00:00
I suspect the issue is they still need cash for 1. dividends 2. Further dilution, er acquisition. They have some put away for the near term dividends. But you can see the negative feedback loop if they cant make those payments/acquisitions. Having a huge hole in the books wont help for raising cash through lending, or asset sales realizing the loss.

Re: 10% specifically, i havent checked but Im guessing thats a floor on their cost basis for a bunch of holdings going negative.
by atomicnumber3 | 2026-02-06 03:55:41+00:00
"When was the last time you reviewed the machine code produced by a compiler?"

Compilers will produce working output given working input literally 100% of my time in my career. I've never personally found a compiler bug.

Meanwhile AI can't be trusted to give me a recipe for potato soup. That is to say, I would under no circumstances blindly follow the output of an LLM I asked to make soup. While I have, every day of my life, gladly sent all of the compiler output to the CPU without ever checking it.

The compiler metaphor is simply incorrect and people trying to say LLMs compile English into code insult compiler devs and English speakers alike.
by hirvi74 | 2026-02-06 03:56:57+00:00
I firmly agree with your first sentence. I can just think about the various modders that have created patches and performance enhancing mods for games with budgets of tens to hundreds of millions of dollars.

But to give other devs and myself some grace, I do believe plenty of bad code can likely be explained by bad deadlines. After all, what's the Russian idiom? "There is nothing more permanent than the temporary."
by pdonis | 2026-02-06 03:57:42+00:00
> I don't know why you turned that into being about the IRS

Um, because that's what I orginally began talking about when the topic of taxes came up? Go back and look at the first post of mine in this subthread where I explicitly mentioned the IRS. You brought up state tax authorities after that, not before.

> and are now even seemingly rejecting the state tax authority "being involved".

If you sell a home in a state that doesn't tax capital gains--such as the state I live in, and indeed every state in which i have sold a home--then the state tax authority is not involved. Which is what I already explicitly said.

> Sure?

Quite sure. I never assumed your experience was "pleasant, responsive, quick and casual"--indeed, your "much less bad than I was expecting" was how I already had read your previous post. And that experience is, as I said, very, very different from experiences I have had with government bureaucracies (not all such experiences, but enough of them that they are not outliers), for which the most charitable description I could give would be "much, much worse than I was expecting".

> dealing with some corporate bureaucracies has been much worse

I certainly have had bad experiences with corporate bureaucracies as well, and I was in no way implying that they are any better than government bureaucracies. My average experience with both is probably about the same.
by tragiclos | 2026-02-06 03:57:57+00:00
> could things be better if we had an explicitly designed interoperability interface?

Yes, we could define a language-agnostic binary interoperability standard with it's own interface definition language, or IDL. Maybe call it something neutral like the component object model, or just COM[1]. :)

[1] https://en.wikipedia.org/wiki/Component_Object_Model
by elevation | 2026-02-06 03:58:40+00:00
> it doesn’t matter because when you use LLMs to work on proprietary code, it has the code right there

The quality of the existing code base makes a huge difference. On a recent greenfield effort, Claude emitted an MVP that matched the design semantics, but the code was not up to standards. For example, it repeatedly loaded a large file into memory in different areas where it was needed (rather than loading once and passing a reference.)

However, after an early refactor, the subsequently generated code vastly improved. It honors the testing and performance paradigms, and it's so clean there's nothing for the linter to do.
by alephnerd | 2026-02-06 03:59:33+00:00
That's false. We expect that jobs are growing at both ends of the income distribution with AI [0][1] - yes there are a ton of data annotators and content moderators now, but literally the overwhelming majority of us also expect to see an expansion in standard SWE and SWE adjacent roles with AI/ML.

[0] - https://www.ft.com/content/267037e8-a71f-4025-acca-f441fe712...

[1] - https://www.ft.com/content/d6fdc04f-85cf-4358-a686-298c3de0e...
by Davidzheng | 2026-02-06 03:59:50+00:00
It's important to remember though (this is besides the point for what you're saying) that job displacement of things like secretaries from AI do not require it to be a near perfect replacement. There are many other factors (for example if it's much cheaper and can do part of the work it can dramatically shrink demand as people can shift to an imperfect replacement in AI)