MurphyA/hacker-news huggingface dataset:
by vintagedave | 2026-02-12 17:16:16+00:00
I mean: the mess around this has brought out some anti-AI sentiment and some people have allowed themselves to communicate poorly. While I get there are genuine opinions and feelings, there were some ugly comments referring to the tech.

You are right, people can use whatever phrases they want, and are allowed to. It's whether they should -- whether it helps discourse, understanding, dialog, assessment, avoids witchhunts, escalation, etc -- that matters.
by skydhash | 2026-02-12 17:16:23+00:00
No one judges a painting by the amount of paint, or a wooden chair by the number of nails in it. The amount of LoC doesn’t matter. What matters is that the code is bug-free, readable, and maintainable.

But reducing the amount of LoC helps, just like using the correct word helps in writing text. That’s the craft part of software engineering, having the taste to write clear and good code.

And just like writing and any other craft, the best way to acquire such taste is to study others works.
by helterskelter | 2026-02-12 17:17:02+00:00
They also wouldn't have tried using a holstered weapon as pretense for a public execution which the president doubled down on, until he didn't. They wouldn't be treading on state's rights so openly either. We might be seeing parties flipping, in very short order.

If the Dems pick up on some of the issues the Republicans are neglecting, while maintaining principles* about healthcare access and reproductive rights I expect they'd be the dominant political force in America for some time...if they just had somebody who could man the helm.

* Hah. What principles?
by yodon | 2026-02-12 17:17:12+00:00
For the moment, researching multi-agent orchestration. At first glance, your work looks among the best in class of published work I've seen. Particularly interested to understand the memory/communication/search model you're using, as it sounds like you've trying to think well past the GasTown/Beads/Claude-Code-Swarms concepts.
by pixl97 | 2026-02-12 17:17:13+00:00
>You can measure button clicks and key presses.

This is a common failure complain of all large companies that use metrics but don't actually talk to people. It's not a new complaint at all. And at the day it's one only solved by users throwing an apocalyptic fucking fit at the group producing the software.

>If a feature is view-only, you literally can't tell how much it's used

Then think fucking twice and don't touch it.
by ApolloFortyNine | 2026-02-12 17:17:20+00:00
I think blanket tariffs are dumb don't get me wrong.

But tariffs have been used in the car industry for decades. If you got rid of them completely within 5 years the American car companies would be closing plants.

The whole reason Japanese auto manufacturers build plants in the US was to avoid tariffs. Shipping costs are actually incredibly minimal for a vehicle.

So in my opinion, we've seen where they can work. If you value American jobs anyways. It does get hard to math out when you have to weigh the money the average consumer would save over the 10 million auto jobs in the US.
by ChrisMarshallNY | 2026-02-12 17:17:21+00:00
> suddenly they understand why it's a bad thing "to give LLMs ammo"

Be careful what you imply.

It's all bad, to me. I tend to hang with a lot of folks that have suffered quite a bit of harm, from many places. I'm keenly aware of the downsides, and it has been the case for far longer than AI was a broken rubber on the drug store shelf.
by jtbaker | 2026-02-12 17:17:27+00:00
I know pandas has a lot of technical warts and shortcomings, but I'm grateful for how much it empowered me early in my data/software career, and the API still feels more ergonomic to me due to the years of usage - plus GeoPandas layering on top of it.

Really, prefer DuckDB SQL these days for anything that needs to perform well, and feel like SQL is easier to grok than python code most of the time.
by jahala | 2026-02-12 17:17:28+00:00
I implemented this hash (read and edit) approach in tilth if you want to test it out.

https://github.com/jahala/tilth

its on npm and cargo:

- cargo install tilth

- npx tilth

then tilth install claude-code/windsurf/cursor --edit

(--edit flag is needed)

I made "tilth" a few days ago, since I'm consistently trying to get the LLMs to use tools more efficiently and spend less tokens doing it -- original tilth post from Monday: https://news.ycombinator.com/item?id=46952321
by ericmcer | 2026-02-12 17:17:44+00:00
Can anyone explain more how a generic Agentic AI could even perform those steps: Open PR -> Hook into rejection -> Publish personalized blog post about rejector. Even if it had the skills to publish blogs and open PRs, is it really plausible that it would publish attack pieces without specific prompting to do so?

The author notes that openClaw has a `soul.md` file, without seeing that we can't really pass any judgement on the actions it took.
by swiftcoder | 2026-02-12 17:17:46+00:00
> Some person (not the OP) legitimately thought giving an AI autonomy to open a PR and publish multiple blog posts was somehow a good idea

Judging by the posts going by the last couple of weeks, a non-trivial number of folks do in fact think that this is a good idea. This is the most antagonistic clawdbot interaction I've witnessed, but there are a ton of them posting on bluesky/blogs/etc
Show HN: I lost $200 from an agent loop, so I built per-tool AI budget controls
by mej2020 | 2026-02-12 17:17:55+00:00
I left an agent running before bed. It got stuck in a loop. By morning it had burned through $200 in LLM calls.

That was the breaking point, but the real problem had been building for a while. I use tools like OpenClaw and Cursor daily, each hitting various AI providers. But I had no idea what each tool was actually costing me. One shared key across everything, no per-tool visibility, no way to cap spend.

So I built AI Spend into Lava. The idea is simple. Create isolated API keys, each with their own:

- Spend limit (daily/weekly/monthly/total)
- Model restriction (lock to a specific model or allow any)
- Real-time usage tracking
- Instant revoke

It works as a transparent proxy. Your tools point to a single OpenAI-compatible endpoint. Lava validates the key, checks the spend limit and model restrictions, then forwards the request to the right provider. Spend is tracked per key per cycle. When a key hits its limit, requests are rejected until the cycle resets. Under the hood it translates requests across 38+ providers (OpenAI, Anthropic, Google, Mistral, DeepSeek, etc.), so anything that works with the OpenAI API works with this. No SDK changes.

Would love to hear how others are handling AI cost control, especially if you're running agents in production.
by zomglings | 2026-02-12 17:18:02+00:00
I have been hungry to do more work from my cell phone. It's ridiculous to be forced to sit in front of a computer to work with AI.

My current solution is to have claude (--dangerously-skip-permissions) listen for messages in my slack DMs to myself and take action in response to those messages.

I would happily switch to something better.

Why is Omnara better?
by st_goliath | 2026-02-12 17:18:22+00:00
> "I don't want to" is not a valid excuse

for the client. If you're implementing a server, "the client SHOULD but didn't" isn't a valid excuse to reject a client either.

You can do it anyway, you might even have good reasons for it, but then you sure don't get to point at the RFC and call the client broken.
by Kerrick | 2026-02-12 17:18:26+00:00
> the overall level of complexity of a project

The overall level of complexity of a project is not an "up means good" kind of measure. If you can achieve the same amount of functionality, obtain the same user experience, and have the same reliability with less complexity, you should.

Accidental complexity, as defined by Brooks in No Silver Bullet, should be minimized.
by randusername | 2026-02-12 17:18:29+00:00
Routines. Exercise. Meditation. Medication. Self-forgiveness. Spatial reminders.

Celebrate your differences, acknowledge your limitations.

For inattentive type, try forcing transitions when someone interrupts you. Walk to a new room together.

For hyperactive type, try planning out multiple synergistic things to do in parallel towards the one goal.
by stefan_ | 2026-02-12 17:18:34+00:00
Why? If I'm writing a mail receiver, and I'm told there is some unique ID generated by the sender in a loosely specified way, the first thing I'm doing is ignoring that value forever. One lesson surely most everyone learns in CS is that unique identifiers are maybe unique to the system generating them, but to rely on foreign generated IDs being unique globally is a terrible idea that will break within the minute.

So at that point the ID has no value to me except being obliged to carry it around with the message, so maybe the originating system can at some point make sense of it. But then there is obviously no reason to ever reject mail without it, it's an ID valid for the sender and the sender didn't care to include one, great, we save on storage.
by mindslight | 2026-02-12 17:18:43+00:00
Sure, Fedex/UPS's brokerage fees are legendary for small shipments. The problem is better stated as the removal of the de minimis threshold.

So in this case an American is still paying for the misguided close-the-barn-door-after-the-horse-ran-out policy, just with most going directly to the corporate interests that helped install this corrupt administration.

(but the joke is on them - Aliexpress Choice doesn't charge brokerage fees)
by AnimalMuppet | 2026-02-12 17:18:49+00:00
It will be enforced by $BIGCORP suing $OPEN_SOURCE_MAINTAINER for more money than he's got, if the intent is to stop use of the code. Or by $BIGCORP suing users of the open source project, if the goal is to either make money or to stop the use of the project.

Those who lived through the SCO saga should be able to visualize how this could go.
by palmotea | 2026-02-12 17:19:11+00:00
>> when it was really capitalism infected by the shareholder-theory-of-value and fictionalization pursued by really smart and rational people focused on their personal self-interest.

> That's one factor, sure. Another factor is the widespread rejection of mainstream science and consensus reality in favor of conspiracy theories that feed into populism and authoritarianism.

I think you (and Sagan) are getting the causality backwards. Unrestrained capitalism doesn't serve people, it serves money. "Widespread rejection of mainstream science and consensus reality in favor of conspiracy theories that feed into populism and authoritarianism" is a reaction to an economic system that doesn't serve the common person and is very resistant to change.
by p0w3n3d | 2026-02-12 17:19:26+00:00
This was predictable. Moreover it is the one of the downsides of migrating to EVs that had been highlighted before. As Poisson's distribution shows, chargers will be overly occupied on the days of most interest, like summer holidays, winter break etc.

What is not acceptable is the price that retail chargers offer which renders EVs more expensive than ICE cars
by dheera | 2026-02-12 17:19:35+00:00
> Wealth

Working at Amazon isn't wealth.

Wealth is not having to work in order to live.

> Learn to live on lentils

I'd rather not be vitamin deficient, even if it means being subservient to the king.

Guarantee me health, food, water, shelter for life, and then maybe we can talk about the ethics of the king.
by ToucanLoucan | 2026-02-12 17:19:38+00:00
Look I'll fully cosign LLMs having some legitimate applications, but that being said, 2025 was the YEAR OF AGENTIC AI, we heard about it continuously, and I have never seen anything suggesting these things have ever, ever worked correctly. None. Zero.

The few cases where it's supposedly done things are filled with so many caveats and so much deck stacking that it simply fails with even the barest whiff of skepticism on behalf of the reader. And every, and I do mean, every single live demo I have seen of this tech, it just does not work. I don't mean in the LLM hallucination way, or in the "it did something we didn't expect!" way, or any of that, I mean it tried to find a Login button on a web page, failed, and sat there stupidly. And, further, these things do not have logs, they do not issue reports, they have functionally no "state machine" to reference, nothing. Even if you want it to make some kind of log, you're then relying on the same prone-to-failure tech to tell you what the failing tech did. There is no "debug" path here one could rely on to evidence the claims.

In a YEAR of being a stupendously hyped and well-funded product, we got nothing. The vast, vast majority of agents don't work. Every post I've seen about them is fan-fiction on the part of AI folks, fit more for Ao3 than any news source. And absent further proof, I'm extremely inclined to look at this in exactly that light: someone had an LLM write it, and either they posted it or they told it to post it, but this was not the agent actually doing a damn thing. I would bet a lot of money on it.
by SunshineTheCat | 2026-02-12 17:19:47+00:00
I know of a 10-12 employee business in my town who custom-designs kids products that are manufactured in China because they want to keep their products affordable for parents. Getting them manufactured in the US (even though they wanted to) was way too expensive and would require them to charge way above retail just to stay open.

Once the tariffs dropped, their cost of goods more than doubled.

Their business in that capacity, was gone overnight.

It's easy to think in some vacuum businesses can just "absorb" costs, but as many businesses know, this is rarely the case.
by tgrowazay | 2026-02-12 17:20:21+00:00
Elon in shambles

> Our experience as the only company operating a fully autonomous service at this scale has reinforced a fundamental truth: demonstrably safe AI requires equally resilient inputs. This deep understanding of real-world requirements is why the Waymo Driver utilizes a custom, multi-modal sensing suite where high-resolution cameras, advanced imaging radar, and lidar work as a unified system. Using these diverse inputs, the Waymo Driver can confidently navigate the "long tail" of one-in-a-million events we regularly encounter when driving millions of miles a week, leaving nothing to the imagination of a single lens.
by rirze | 2026-02-12 17:20:25+00:00
You're probably suited to engineering more than physics IMO.

Physics tends to reward finding THE solution. It's akin to a pirate's quest to finding the treasure hoard. The solution rarely involves a logical progression and more luck than anything else. I recognize this is a controversial take since few people realize this and would accept it. Physics education trains people that everything is derivable through assumptions and steps but new advances rarely come through this process.

Anyways, I relate to your mindset more as well. I much rather approach solvable problems.
by stackskipton | 2026-02-12 17:21:30+00:00
As someone else who does System Engineering, when dealing with ancient protocols, "shall" is extremely difficult barrier to get over since there is always ancient stuff out there and there might be cases not to do it, esp if it's internal communication.

"SHOULD" is basically, if you control both sides of conversation, you can decide if it's required looking at your requirements. If you are talking between systems where you don't control both sides of conversation, you should do all "SHOULD" requirements with fail back in cases where other side won't understand you. If for reason you don't do "SHOULD" requirement, reason should be a blog article that people understand.

For example, "SHOULD" requirement would be "all deployable artifacts SHOULD be packaged in OCI container". There are cases where "SHOULD" doesn't work but those are well documented.
by mNovak | 2026-02-12 17:22:03+00:00
Large murals on, for example, commercial buildings or residences are typically commissioned. These are big enough to require scaffolding/lifts and take multiple days to paint; with some exceptions (vacant property) it'd be hard to pull that off without the owner calling the cops. The building owner is paying them for the mural, or in some cases there's city grants or arts council projects.

Lots of muralists document the art/business on youtube! Two I like: Kiptoe and SmoeNova
by reikonomusha | 2026-02-12 17:22:11+00:00
Three thoughts (in the context of Common Lisp specifically):

- Every day that passes, the gulf between Lisp's tooling and what a typical user expects grows wider. It needs to escape Emacs and SLIME to something that feels complete and polished.

- There needs to be a little bit of a culture shift around Lisp to actually write programs that do things. How many programs can you download via apt or brew that are written in Lisp? They're executables at the end of the day so nothing in principle stops this from happening, but there's just a thread of modern Lisp culture where it's more fun to play around in the REPL and write creative libraries than to ship. (There are notable exceptions of course.)

- I personally like the quirkiness of Common Lisp, but there are so many ways to write it (imperative, functional, etc.), so many ways to structure your programs (one package, package per file, package inferred system, etc.), and so many ways to offer APIs (plain old data and functions, generic function protocols, etc.) that it makes it a combination of confusing and intimidating. I think shifting toward something a little more structured and disciplined like Coalton, while still giving the escape hatches to all of Common Lisp, would help a lot of people "join in" on building new code or building upon existing code.
by GMoromisato | 2026-02-12 17:22:17+00:00
I think your argument is that allying with people who deny climate change is not going to fix the climate.

But this reminds me of the Israeli leader who was asked, "How can you sign a treaty with [the PLO, I think], they are your enemy!" And he replied, "You don't sign treaties with friends. You only need them with enemies."

If the political constituency for climate action were large enough, then we would have done something already. So we have to start pulling other people into the coalition.

People who oppose climate action are on a continuum. Some are climate change deniers and cannot be persuaded. But many would absolutely support climate action if the costs to them were low enough. Many more would stop opposing climate action if they got something that they wanted in exchange.
by agentultra | 2026-02-12 17:22:20+00:00
Not surprised at all.

My point is that it takes more hand-waving and magic belief to anthropomorphize LLM systems than it does to treat them as what they are.

You gain nothing from understanding them as if they were no different than people and philosophizing about whether a Turing machine can simulate a human brain. Fine for a science fiction novel that is asking us what it means to be a person or question the morals about how we treat people we see as different from ourselves. Not useful for understanding how an LLM works or what it does.

In fact, I say it’s harmful. Given the emerging studies on the cognitive decline of relying on LLMs to replace skill use and on the emerging psychosis being observed in people who really do believe that chat bots are a superior form of intelligence.

As for brains, it might be that what we observe as “reasoning” and “intelligence” and “consciousness” is tied to the hardware, so to speak. Certainly what we’ve observed in the behaviour of bees and corvids have had a more dramatic effect on our understanding of these things than arguing about whether a Turing machine locked in a room could pass as human.

We certainly don’t simulate climate models in computers can call it, “Earth,” and try to convince anyone that we’re about to create parallel dimensions.

I don’t read Church’s paper on Lambda Calculus and get the belief that we could simulate all life from it. Nor Turing’s machine.

I guess I’m just not easily awed by LLMs and neural networks. We know that they can approximate any function given an unbounded network within some epsilon. But if you restate the theorem formally it loses much of its power to convince anyone that this means we could simulate any function. Some useful ones, sure, and we know that we can optimize computation to perform particular tasks but we also know what those limits are and for most functions, I imagine, we simply do not have enough atoms in the universe to approximate them.

LLMs and NNs and all of these things are neat tools. But there’s no explanatory power gained by fooling ourselves into treating them like they are people, could be people, or behave like people. It’s a system comprised of data and algorithms to perform a particular task. Understanding it this way makes it easier, in my experience, to understand the outputs they generate.
by atallahw | 2026-02-12 17:22:31+00:00
We got access to OpenAI's RFT API with GPT5 and tried to see how good we could get it at one-shot Triton kernel generation. Some key decisions/observations:
1. tool use instead of multi-turn rl
2. skip SFT altogether
3. dataset curation was more important than dataset scale
4. reward hacks detection must be robust
5. models are getting a lot better at this
by TIPSIO | 2026-02-12 17:22:46+00:00
This is cool and glad Cloudflare is offering options for AI to everyone (tools to block, tools to better enable).

This is probably fast, but FWIW I would bet doing a simple str replace on HTML elements with '' would yield mostly the same result. Any sort of structured content (like markdown) isn't even needed really for LLM. Make it messy and super fast and don't accidentally lose anything, it's an LLM.

If compression was really the goal, you could take it further and probably remove all words like "the" and "and", punctuation, maybe even spaces
by XCSme | 2026-02-12 17:22:46+00:00
Maintaining integrations in production can definitely become a hidden burden. Even simple analytics or attribution pipelines can silently fail if APIs or schemas change and that often only shows up when metrics look off. One approach that helps is self-hosting critical components like analytics [0]. You get local session and behavior data you can trust without depending on external services.

[0] https://www.uxwizz.com
by kspacewalk2 | 2026-02-12 17:23:09+00:00
Tariffs can be paid by the seller/exporter. If a very significant part of a company's business is done in the US, and the tariff is sufficiently high, they will lose market share if the customer eats the entire cost of the tariff (which is the whole point of the exercise in the first place). So they may decide to socialize this cost a little bit, by increasing prices in all countries, by a lot less than the tariff, and making customers in other markets in effect subsidize the Americans. Everyone except Americans .pays a bit more, prices don't rise as much for Americans.

It's interesting to see how little of that is going on, empirically, by looking at these kinds of quantitative studies.
by hparadiz | 2026-02-12 17:23:17+00:00
Mine was not supervised cause immigrant parents that didn't know anything about computers really. So more or less entirely unsupervised.

By 16 I was regularly ignoring my parents to go to bed when I was up coding or gaming and doing dumb script kiddie stuff on IRC.

I had an adult introduce me to Astalavista (https://en.wikipedia.org/wiki/Astalavista.box.sk)

Thinking back to that I was very well aware of the fucked up part of the internet much more so than most adults around me. People did in fact meet up in person with strangers from the internet even back then.

I think it's more important to teach around age 10-14 about the dark side of the internet so that late teens can know how to stay safe. Rather than simply throwing them into the reality of it unprepared as "adults".

Also frankly I don't want to know the search history of a late teen. There's a degree of privacy everyone is entitled to.