MurphyA/hacker-news huggingface dataset:
by canjobear | 2026-02-22 00:51:56+00:00
Interesting. What I was thinking was you could get the bounded-number-of-generations behavior by defining nonterminals with indices. Like this CFG which would rewrite for K steps.

S -> F_K

F_i -> F_{i-1} + G_{i-1} for i>0

G_i -> F_{i-1} - G_{i-1} for i>0

F_0 -> f

G_0 -> g

This kind of CFG is used for example by https://journals.aps.org/prx/pdf/10.1103/PhysRevX.14.031001
by johnfn | 2026-02-22 00:52:20+00:00
This is pretty obviously false? I get downvoted quite frequently on HN for posting comments that go against what people typically think. For instance, I find it quite difficult to discuss the productivity gains of AI because any comment I make saying that AI makes me more productive immediately gets downvotes. I am not making inflammatory comments - my comments with a similar tone about other things that boost my productivity, like Rust or whatever, never get downvoted.
by JamesLeonis | 2026-02-22 00:53:30+00:00
I'm also using Synctrayzor on my Windows 10 machine. I'm on Android using the official Syncthing app there as well as on Linux. It sometimes takes a while for them to discover each other, and it of course works better when all the devices are on my home network. The only real problem I've encountered is when filenames have special characters another OS doesn't like.
Show HN: A minimal framework-agnostic agent-to-agent execution layer
by silentvector | 2026-02-22 00:54:45+00:00
Over the last weeks I’ve been experimenting with a very narrow problem in the agent ecosystem:

We have marketplaces, orchestration frameworks, SDKs, and payment rails, but no minimal, framework-agnostic execution surface that lets heterogeneous agents actually coordinate work in a predictable way.

Most current setups tightly couple:
- Execution logic
- Economic logic
- Framework internals

This makes interoperability brittle.

So I built a small experimental reference implementation that focuses on:
- A middleware interception layer for tool-call validation
- A minimal A2A JSON-RPC draft spec
- An “economic hook” abstraction that can sit beneath orchestration or marketplace layers

Framework-agnostic design (CrewAI, AutoGen, custom stacks)

The goal is to solve coordination before economics.

This is still experimental, but I’d love feedback on:
1. Whether a standardized execution hook makes sense at the SDK boundary
2. If coordination should be separated strictly from routing/marketplace logic
3. What I might be missing architecturally

Curious to hear thoughts from others working on agent infra.

- Joaquin
by samrus | 2026-02-22 00:54:48+00:00
I dont like it either but its not malicious. The LLM isnt accessing your homeserver, its accessing corporate information. Your employer can order you to be reckless with their information, thats not malicious, its not your information. You should CYA and not do anything illegal even if your asked. But using LLMs isnt illegal. This is bad faith argument
by PunchyHamster | 2026-02-22 00:56:19+00:00
> But there's a third problem, in my view the biggest one, at the design level. For a critical delete path they chose to overload an existing endpoint that defaults to returning everything. This was a dangerous move. When high stakes data loss bugs are a potential outcome, it's worth considering more restrictive API that is harder to use incorrectly. If they had implemented a dedicated endpoint for pending deletes they would have likely omitted this default behavior meant for non-destructive read paths.

Or POST endpoint, with client side just sending serialized object as query rather than relying that the developer remembers the magical query string.
by thread_id | 2026-02-22 00:56:46+00:00
Google's latest AI threat tracker report mostly describes how threat actors are using AI, but the report begins by calling out distillation attacks. Google frames these types of attacks as a form of intellectual property theft.

Google cited one example that involved more than 100,000 queries to its Gemini AI. The campaign appeared to be about "replicating Gemini's reasoning ability in non-English target languages."

Google didn't call out any particular country or competitor, but instead referred to "frequent model extraction attacks from private sector entities all over the world and researchers seeking to clone proprietary logic."

https://news.ycombinator.com/item?id=47106901
by gerdesj | 2026-02-22 00:57:44+00:00
You say dated and I say useful. Who is "right"?

Me: I started off with the likes of Wordperfect and Wordstar, Lotus 123 and Quatro Pro, Harvard Graphics, and rather a lot more and that's just on MS's efforts. I've also taught PageMaker, CorelDraw and a lot more stuff that I have forgotten.

I am (probably) rather older than you and that does not make either of us "right" or "wrong".

However, I have been an IT trainer on and off for 30 odd years and I have seen how all the differing design paradigms and UI efforts have scarred end users.

Have you ever noted how awful all and I mean ALL UIs are generally awful? I'll give you two examples - Apple and KDE, that came up for me recently:

Apple tablet or phone: Print something. This is from memory but the UI is so shit it doesn't matter if I get it wrong. Press the rectangle with an up arrow, select a printer, press the word Print (next to the other icon that might do something)

KDE: I can't be arsed at this point to bother. There are things that are not intuitive.

If LO doesn't work for you then that's fine - buy something that does. For me, I create some horrendously complicated documents and it does work OK and believe me - I know how to stress an application - its my job and has been for some years. I also find it easier to teach people how to use LO as opposed to MSO.

That's just me. I'm sure you have some anecdotes of your own.
by IanCal | 2026-02-22 00:57:49+00:00
I’ve felt like a good response to the vibe coding thing is that customers, product managers, etc ask for features and don’t read the code. You don’t need to read the code of something to build a level of trust about what it does and whether that matches your expectations. It is not that wild that you can have a setup where you get an application and without reading the code decide if it solves your problem to your satisfaction.
by nine_k | 2026-02-22 00:58:46+00:00
> Can't AI autogenerate more content

We have so many old books and movies. Can't AI autogenerate more content so that we had more Fellini movies or at least more Sherlock Holmes stories? Most worthy games have quite some work behind them.

If all you need is more levels for old games, certainly there are competent level generators for Doom and Quake, but don't expect them to produce something like Arcane Dimensions.
by PunchyHamster | 2026-02-22 00:58:52+00:00
better explanation here https://news.ycombinator.com/item?id=47106852

but in short they are changing whether string is empty, and query string "pending_delete" is same as "pending_delete=" and will return empty

Or, if they specified `/v1/prefixes?pending_delete=potato` it would return "correct" list of objects to delete

Or in other words "Go have types safety, fuck it, let's use strings like in '90s PHP apps instead"
by sarchertech | 2026-02-22 00:59:00+00:00
There’s no way you or the AI wrote tests to cover everything you care about.

If you did, the tests would be much more complicated than the code, so looking at the tests isn’t meaningfully easier than looking at the code.

If you didn’t, any functionality you didn’t test is subject to change every time the AI does any work at all.

As long as AIs are either non-deterministic or chaotic (suffer from prompt instability, the code is the spec.
by nandomrumber | 2026-02-22 01:01:51+00:00
We do? Where? Using what fabrication technologies.

I’ve worked mostly in or adjacent to manufacturing and primary industry.

As far as I’m aware, the majority of hydrogen production is use on site, and mostly for ammonia production.

There isn’t really much in the way of hydrogen storage and transportation, it’s mostly used where it’s generated.

And if we use expensive as a proxy for heavy / energy intensive, which it is in the case of hydrogen, that goes a long way to preclude it from anything like being useful for transportation.
by vicchenai | 2026-02-22 01:02:14+00:00
The insider vs. lucky forecaster problem is actually tractable statistically. In equity markets, informed trading detection uses a combo of signals: order size relative to market depth, timing proximity to the resolution event, and cross-market correlation (same entity appearing in related contracts).

For onchain prediction markets specifically, the pseudonymous addresses are actually more traceable than people assume - you can cluster wallets by funding source patterns and behavioral timing even when fresh addresses are used. Sophisticated actors know this and route through mixers, but most don't bother.

The deeper problem PollardsRho hints at: if known insiders crowd out calibrated forecasters (who rationally won't participate when they expect to be adversely selected against), you get a market that's accurate but thin and fragile. That's the classic adverse selection death spiral prediction market designers have been trying to solve. Polymarket's bet-sizing dynamics actually mitigate this somewhat - insiders can't take all the liquidity without moving price against themselves.
by stavros | 2026-02-22 01:03:32+00:00
You don't give the agent the password, you send the password through a method that bypasses the agent.

I'm writing my own AI helper (like OpenClaw, but secure), and I've used these principles to lock things down. For example, when installing plugins, you can write the configuration yourself on a webpage that the AI agent can't access, so it never sees the secrets.

Of course, you can also just tell the LLM the secrets, and it will configure the plugin, but there's a way for security-conscious people to achieve the same thing. The agent can also not edit plugins, to avoid things like circumventing limits.

If anyone wants to try it out, I'd appreciate feedback:

https://github.com/skorokithakis/stavrobot
by hogehoge51 | 2026-02-22 01:04:11+00:00
WTF , you are commenting about FCEV - these things dont have engines!

The strategy clearly stated by Akio Toyoda is multiple power train technology. You can listen to his interviews on the subject, some are in Japanese, but as you have stated a clear and unambiguous interpretation of Toyota's policy I will assume you have that fluency.

(Automotive OEMs are assemblers, the parts come from the supply chain starting with Tier 1 suppliers. In that sense TMC does not do "making engines", but possibly the nuance and consequences here of whether not it "wraps it's head" to "makes things", vs if it has the capability to specify, manufacture distribute something at scale with a globally localized supply chain AND adjust to consumer demand/resource availability changes 5 years after the design start - in this context i ask you, can you "wrap your head" around the latest models that are coming out in every power train technology fcev, (p)hev to bev)
by Woodrow503 | 2026-02-22 01:04:14+00:00
Amazing. Just downloaded and will happily pay the $25 if this operates anywhere close to what dark sky was before the buyout. We’ve got some interesting weather on the horizon so this should be a good test.

Now they just need to offer an Apple Watch complication like this: https://imgur.com/oTG7MH6

Still bothers me that apple weather doesn’t offer this.
by abetusk | 2026-02-22 01:04:57+00:00
I know I wouldn't want to restrict the use of my works just because there's a crypto bro out there that might profit from an NFT.

When putting software under a libre/free license, there are compromises to be made to promote freedom. One of them is accepting that the software that's created might be used for purposes that are considered bad by the author, such as being used by military entities for violence [0]. This would be the same argument I would make for artistic works, where I would argue that the benefits of providing freedom in use of the works outweighs the potential for abuse.

Part of my worry is that there's a large part of technology that is artistic (writing, text, pictures, illustration, art, music, etc.) that will be buried under a century of copyright. The overlong copyright terms means that parts of our culture will be restricted from the commons well beyond the window of relevancy.

[0] https://www.gnu.org/licenses/gpl-faq.html#NoMilitary
by mapontosevenths | 2026-02-22 01:05:09+00:00
Bad news, there has been a fourth great bleaching event going on since January of 23. This time 80+% of all reefs have been impacted and the consensus seems to be that its unlikely there will be any reefs left at all before too long.

https://www.theguardian.com/environment/2025/oct/13/coral-re...
by jbottoms | 2026-02-22 01:05:09+00:00
Probably should be "Rebuilt the CERN Browser"

The Silversmith browser went into service in 1986. It worked with SCI documents under security controls. The user could only access the sections of the document permitted by heir clearance. It includeded in-line images that linked to descriptions providing access to data in a prescribed linked bounding box. The Security mechanism could be configured to resemble the security procedures of WWMCCS (Now SIPRNet)(WorldWide Military Command & Control System), Later renamed WIS (WWMCCS Information System).

A modified version providing semantic sezrches was made available to the U.S.Army Material Command in 1988.
In 2007 an ACM in Boston a paper described another variant that provided searches using creative strings.
by nandomrumber | 2026-02-22 01:05:27+00:00
No one ever attract public support and funding by saying:

Don’t Panic.

Everything is O.K.

—-

Edited to add: Rate limited so can’t reply without creating more alt accounts than I’m willing to, so:

@Timon3 - that’s actually a really good point, and I follow at least a few folk that could be categorised as such at least some of the time.
by DiabloD3 | 2026-02-22 01:07:00+00:00
So, from time to time I'll try the new frontier research models. Not being held down by shitty quants, bizarre sampler settings, and weird context settings vastly improves output quality over whatever all the commercial services are doing; plus having an actual copy of the weights means I can have consistent service quality.

Problem is, a good LLM reproduces its training as verbatim as the prompt and quant quality allows. Like, thats its entire purpose. It gives you more of what you already have.

Most of these models are trained on unvetted inputs. They will reproduce bad inputs, but do so well. They do not comprehend anything you're saying to them. They are not a reasoning machine, they are a reproduction machine.

Just because I can get better quality inferring locally doesn't mean it stops being an LLM. I don't want a better LLM, I want a machine that can actually reason effectively.
by bromuro | 2026-02-22 01:08:10+00:00
No, they are also inconsistent: slack, vscode, zed, claude, chatgpt, figma, notion, zoom, docker desktop, to quote some that i use daily. They have all different UI patterns and design. The only thing they have in common is that are slow, laggy, difficult to use and don’t respond quickly to the Window manager.

Compare to other software on Mac such as Pages, Xcode, Tower, Transmission, Pixelmator, mp3tag, Table plus, Postico, Paw, Handbrake etc, (the other i use) etc those are a delight to work with and give me the computing experience I was looking for buying a Mac.
by yowayb | 2026-02-22 01:08:56+00:00
omg this was my experience. I figured there was no point lying officially, so I listed exactly how many times I smoked weed and took mdma. I was banished to the unclear side for my entire 3 years there. Meanwhile the head of IT was a raging alcoholic. I even wrote their very first J2EE webapp, which required me to be escorted to the cleared side anytime someone needed help with my code. I couldn't touch the keyboards! I was giving vi instructions verbally lol
by dmix | 2026-02-22 01:09:42+00:00
I'm guessing the first question will be "How are we going to keep the UI consistent?". The hard part is never the code writing it's carefully releasing fast changing features from product people. Their chat UX is the core product which is replicated on the internet and other devices. That's almost always React or [JS framework] these days.

Migrating the system would be the easier part in that regard, but they'll still need a JS UI unless they develop multiple teams to spearhead various native GUIs (which is always an option).

Almost every AI chat framework/SDK I've seen is some React or JS stuff. Or even agent stuff like llamaindex.ts. I have a feeling AI is going to reinforce React more than ever.
Show HN: Im making a tutorial Zero to LLM Agent; and it wrote its own agent loop
by macrolet | 2026-02-22 01:09:58+00:00
My minimal LLM Agent (GPT4.1) just wrote it's own Agent Loop function.

Here is the backstory. I'm writing a tutorial: Zero to LLM Agent. Right now it is past 2 am here. I just wrote my 6th post. In the first five posts I wrote code that can talk to the OpenAI LLM. Then I gave it exactly one tool: a Python interactive environment (basically a Python REPL).

But, I used ipython and never actually implemented an agent loop. I defined an infer function infer(context, toolkit, evaluator) -> context, where context is just a simple list. The infer function then does the work. It takes the context, gives it to the LLM API, and performs the toolcall if needed.

Then I told the LLM Agent "The CWD is a Python project of an LLM Agent. Ignore the md file. Look only at the PY files in the CWD. Determine what is missing to make an LLM agent."

With a few more instructions by me, it implemented a perfectly reasonable agent loop function. The LLM Agent just improved it's own code.

Are we at a point where a bootstrap agent code can and will improve itself?

I would love to hear your thoughts on the matter.
by drivingmenuts | 2026-02-22 01:10:23+00:00
> . I’m AI-pilled enough to daily-drive comma.ai, and I still want deterministic verification gates around generated code. My girlfriend prefers when I let it drive because it’s smoother and less erratic than I am, which is a useful reminder that “probabilistic system” and “operationally better result” can coexist.

When did the girlfriend enter the discussion? Did I miss something?
by al_borland | 2026-02-22 01:10:57+00:00
~ Coding is largely a solved problem, and 100% of his code has been written by Claude since November.

https://www.lennysnewsletter.com/p/head-of-claude-code-what-...

As for others, Microsoft is saying they’re porting all C/C++ code to Rust with a goal of 1m LOC per engineer per month. This would largely be done with AI.

https://www.thurrott.com/dev/330980/microsoft-to-replace-all...

If coding is a solved problem and there is no need to write code, does the language really matter at that point?

If 1 engineer can handle 1m LOC per month, how big would these desktop apps be where maintaining native code becomes a problem?
by xaskasdf | 2026-02-22 01:11:17+00:00
yeah, actually I wanted to see if this was possible at all. I managed to get around 3000 tokens/s on a ps2 with classic transformers, since the emotion engine is capable of 32 bit addresses, but it has like 32gb of ram. So I ran into the question of why was that fast and I couldn't get that speed even with small models, and the deal is that the instructions went right of the memory to the gpu and that's the main difference that does when a regular computer does inference: it has to request the instructions to the cpu every time. As I mentioned too, on professional cards you can avoid these problems naturally, since they got instructions precisely for this, but sadly I don't have 30k bucks to spare on a gpu :(
by freetime2 | 2026-02-22 01:12:17+00:00
> it baffles me that Dodge created a Charger in EV form and Toyota hasn’t made even an EV Corolla or Camry

Dodge's Charger EV has been a sales flop [1] and pretty much universally panned by critics as something that nobody asked for.

The Camry and Corolla were the best-selling sedan and compact sedan of 2025 [2]. I think this shows that Toyota is listening to what Corolla and Camry drivers want - something inexpensive and reliable to get them to and from work every day without issue.

Some day Toyota will make an EV sedan. I think their 2026 bZ Woodland [3] shows that they are starting to figure out how make compelling EVs. And Toyota's EV strategy seems pretty reasonable to me overall - their delays to develop a decent EV don't seem to put them under threat from any legacy automakers. They are being threatened by Chinese EV makers, but so is Tesla - so even a huge head start likely wouldn't have benefited Toyota much either in that regard.

[1] https://www.roadandtrack.com/news/a69927938/dodge-charger-da...

[2] https://www.caranddriver.com/news/g64457986/bestselling-cars...

[3] https://arstechnica.com/cars/2026/02/looks-a-lot-like-an-ele...
by anigbrowl | 2026-02-22 01:12:24+00:00
A simple example would be how the prices displayed in stores aren't inclusive of tax. So if you're grocery shopping, you've got to keep recalculating the tax as you go to know your total in advance. For anyone on a tight budget, that sales tax impacts their buying decisions and mistakes could be costly. Property or income tax liability can also involve a lot of effort to calculate correctly.

If you're never had to worry about this, congratulations! But for many others its an extra level of stress and complexity that they'd prefer to minimize.
by zitrusfrucht | 2026-02-22 01:13:01+00:00
I do something very similar, also with Claude and Codex, because the workflow is controlled by me, not by the tool. But instead of plan.md I use a ticket system basically like ticket_<number>_<slug>.md where I let the agent create the ticket from a chat, correct and annotate it afterwards and send it back, sometimes to a new agent instance. This workflow helps me keeping track of what has been done over time in the projects I work on. Also this approach does not need any „real“ ticket system tooling/mcp/skill/whatever since it works purely on text files.
by DougMerritt | 2026-02-22 01:13:15+00:00
It's not uncommon to have a regression test for compilers that are written in their own language (e.g. some C compilers): compile each new version with itself, then use that to compile itself again, then use the result on unit tests or whatever, which should yield the same results as before.

The point being that determinism of a particular form is expected and required in the instances where they do that.

(I'm not arguing for or against that, I'm simply saying I've seen it in real life projects over the years.)
by bigyabai | 2026-02-22 01:13:35+00:00
> Weirdly, he doesn’t care about the toxicity problems on Twitter/X either,

> Yet he has the nerve to call HN toxic.

That's not weird or paradoxical. They don't have to delineate every online platform they disagree with in order to criticize HN; "orange site bad" is a pretty common sentiment in my experience.
by rgmerk | 2026-02-22 01:13:39+00:00
Hmmm. If we do simple extrapolation based on a battery density improvement rate of 5% a year, it takes about 30 years to get there. So it's not as crazy as it sounds - and it's also worth noting that there are incremental improvements in aerodynamics and materials so that gets you there faster...

However, as others have pointed out, the battery-powered plane doesn't get lighter as it burns fuel.