MurphyA/hacker-news huggingface dataset:
by londons_explore | 2026-02-22 07:18:59+00:00
It's true that a fixed size bloom filter gives better compiler performance...

But another approach is to use C++ templating so you can have say 10 different 'fixed size' implementations with no additional overhead, and at runtime select the most suitable size.

For the couple of kilobytes of extra code size, this optimisation has to be worth it assuming table size is variable and there are some stats to give cardinality estimates...
by Dylan16807 | 2026-02-22 07:19:13+00:00
I haven't seen any cost models where green hydrogen is feasible without a lot of super cheap excess electricity. And those situations also boost batteries. Do you have one you can show me? It's not just lack of infrastructure, even if you solved the problem of building everything out green hydrogen is still not worth it under conditions close to the present day.

And I didn't say it could never under any circumstances be feasible.

> If that was the case, we'd still have electric cars with 50km range, and 1000lbs of batteries.

I don't follow your logic here. Nobody went out and built tons of lithium ion batteries for cars until they were actually feasible. We're living in the world where companies wait, and it worked out for electric cars.
by ukblewis | 2026-02-22 07:19:18+00:00
Right and we could allow that government to continue to murder tens of thousands of it’s innocent civilians, build proxy armies that are larger than all the armies of Europe to kill all the Jews, to murder all of their minorities and anyone that remotely scares them while they build nuclear weapons and ballistic missiles that they could use to murder Americans in the east coast, I mean they so scream “Death to America!” at all of their pro Islamic regime rallies …
Or was that not what you meant?
by mrwh | 2026-02-22 07:19:25+00:00
> investors are simultaneously punishing hyperscaler stocks because AI capex might generate weak returns, while destroying software stocks because AI adoption will be so pervasive it renders all existing software obsolete. Both cannot hold simultaneously.

I don't understand this point. Can't it be possible that the ultimate effect is to devalue, hugely, software? As in it can totally both be true that AI capex has weak returns and at the same time most SaaS companies go bankrupt. To take an analogy: if ever we manage to successfully mine asteroids, and find some vast quantity of platinum, it could both be true that every existing platinum miner loses their shirt, and also that the value of platinum sinks so far that the asteroid mining company cannot cover its costs.
by drgo | 2026-02-22 07:19:33+00:00
None of these alternative statues give Trump what he wants and what he used the IEEPA for, which is unlimited power to use tariffs to force specific countries to comply with his edicts and more importantly to stop laughing at him. The SCOTUS took that away leaving him with the only other kind of power that he knows how to use: missiles and war ships. The next few months may prove disastrous for the US and for the world.
by daniel_iversen | 2026-02-22 07:20:35+00:00
You can go forth and back with some chatbots for details like this ("What is it and how is it different to..." etc). But it does a few things. If all you use it for is a generic chatbot for example then it's a huge waste of time for probably a mediocre result. But I'd probably call it an agent orchestration platform that you can interface with via your favourite messaging app. It can run multiple agents that can use skills, but it can also create it's own skills, update itself, write code and use tools (tons of wrappers to things like calendars, messaging etc). Which then really means you can in theory do "most" things but of course there's risks when you have the AI chain tools together and do whatever it wants (if you let it) and lots of people are trying to prompt inject it because a lot of users have connected sensitive accounts (mail, calendar, credentials, crypto stuff etc) to their bots to get maximum usage.
by breve | 2026-02-22 07:21:32+00:00
China is the biggest EV market, Europe is the second biggest, and North America is third.

For EVs the US will remain lower priority than China and Europe for a while yet. Toyota understands how to sell cars.

It's funny how this thread has gone from "Toyota can't wrap its head around not making engines" to "Toyota is not prioritizing small EV markets first".
by TheSpiceIsLife | 2026-02-22 07:21:47+00:00
The Late Heavy, as I like go call it. Sounds like a Drum and Bass producer. Anyways:

The Late Heavy Bombardment (LHB), or lunar cataclysm, is a hypothesized astronomical event thought to have occurred approximately 4.1 to 3.8 billion years (Ga) ago,[1] at a time corresponding to the Neohadean and Eoarchean eras on Earth. According to the hypothesis, during this interval, a disproportionately large number of asteroids and comets collided into the terrestrial planets and their natural satellites in the inner Solar System, including Mercury, Venus, Earth (and the Moon) and Mars.[2] These came from both post-accretion and planetary instability-driven populations of impactors.[3] Although it has gained widespread credence,[4] definitive evidence remains elusive.

https://en.wikipedia.org/wiki/Late_Heavy_Bombardment
by overfeed | 2026-02-22 07:22:04+00:00
I was simply commenting on the Collapse page[1] that was mentioned by gp - not the larger permacumputing community. The collapse page[1] is pure nerd-prepper material - I say this a subscriber to r/DataHoarder with a Kiwix SBC in my go-bag; I know my people. I also am self-aware enough to realize this fantasy is in line with XKCD #208[2].

Anyone that is in the US that is seriously modeling an infrastructural collapse scenario (not a brief period of unavailability), has to consider what that entails: that the federal, state and local governments have failed. If that happens, you'll have much bigger, and more fundamental problems to tackle.

1. https://wiki.xxiivv.com/site/collapse.html

2. https://xkcd.com/208/
by monero-xmr | 2026-02-22 07:23:08+00:00
America is a global superpower. Trump is not bound by laws, anymore than Bush 1 and 2 were restricted in Iraq, LBJ in Vietnam, FDR in everything, and on and on. It really doesn’t matter. Some loophole will be found. It’s meaningless

Elect a new president who decides they care again about restrictions on American trade. Your only hope
by ksenzee | 2026-02-22 07:23:46+00:00
This is true through 1300 or so. If you transliterate the 1200, 1100, and 1000 sections to modern glyphs, it's still a foreign language with the occasional recognizable word (such as "the"). Learning Old English in college was a lot like learning Latin: lots of recognizable vocabulary, totally unfamiliar case endings, mostly unfamiliar pronouns, arbitrary word order.
by moreobays | 2026-02-22 07:25:05+00:00
solid writeup, the Pinecone music caching trick alone was worth the read

but the $2/video headline is doing some heavy lifting. that's marginal cost once the pipeline exists. doesn't factor in the 40+ hours of debugging apis, handling deprecations, and figuring out why ffmpeg is mangling your audio sync at 3am

and honestly the bigger issue is that panning over still images isn't really "AI video". calling Ken Burns effects a video pipeline is a bit like calling a slideshow a film. the cost comparison only works if you're already selling that to your audience as the same thing
by onion2k | 2026-02-22 07:25:41+00:00
if you don't plan perfectly, you'll have to start over from scratch if anything goes wrong

This is my experience too, but it's pushed me to make much smaller plans and to commit things to a feature branch far more atomically so I can revert a step to the previous commit, or bin the entire feature by going back to main. I do this far more now than I ever did when I was writing the code by hand.

This is how developers should work regardless of how the code is being developed. I think this is a small but very real way AI has actually made me a better developer (unless I stop doing it when I don't use AI... not tried that yet.)
by knallfrosch | 2026-02-22 07:25:50+00:00
I always thought the workings of polygraphs were common knowledge.

It's fiction. Analysts get scared and don't do anything wrong preemptively. Analysts admit stuff they'd never do otherwise. The agency gets to show who's in charge. It creates a legal fiction that allows you to abuse your employees. It creates a fiction that the abusers themselves can believe in.

Why should the believe in the non-working polygraph be any weaker than in a nonexistent god?
by aix1 | 2026-02-22 07:26:06+00:00
There's quite a lot of research into what our increasing reliance on technology is doing to our briains.

Here is one paper: https://www.nature.com/articles/s41598-020-62877-0

"Although the longitudinal sample was small, we observed an important effect of GPS use over time, whereby greater GPS use since initial testing was associated with a steeper decline in hippocampal-dependent spatial memory. Importantly, we found that those who used GPS more did not do so because they felt they had a poor sense of direction, suggesting that extensive GPS use led to a decline in spatial memory rather than the other way around."
by dyauspitr | 2026-02-22 07:26:21+00:00
Every company that I’ve worked at has had to do significant additional development work on their instance of salesforce to make it work for them. Like 6-12 months of work with 1-3 people. I don’t know if this is common but in that case maybe going custom might be the way to go. You get something lean, without all the cruft, specifically built for your usecase and nothing more.
by Bishonen88 | 2026-02-22 07:26:26+00:00
Todos, habits, goals, calendar, meals, notes, bookmarks, shopping lists, finances. More or less that with Google cal integration, garmin Integration (Auto updates workout habits, weight goals) family sharing/gamification, daily/weekly reviews, ai summaries and more. All built by just prompting Claude for feature after feature, with me writing 0 lines.
by vyr | 2026-02-22 07:26:32+00:00
they're common in databases and performance instrumentation of various kinds (as are other forms of data structure "sketch" like count sketches) but not as common outside those realms.

i've gotten interview questions best solved with them a few times; a Microsoft version involved spell-checking in extremely limited memory, and the interviewer told me that they'd actually been used for that back in the PDP era.
by chaboud | 2026-02-22 07:26:49+00:00
The author seems to think they've hit upon something revolutionary...

They've actually hit upon something that several of us have evolved to naturally.

LLM's are like unreliable interns with boundless energy. They make silly mistakes, wander into annoying structural traps, and have to be unwound if left to their own devices. It's like the genie that almost pathologically misinterprets your wishes.

So, how do you solve that? Exactly how an experienced lead or software manager does: you have systems write it down before executing, explain things back to you, and ground all of their thinking in the code and documentation, avoiding making assumptions about code after superficial review.

When it was early ChatGPT, this meant function-level thinking and clearly described jobs. When it was Cline it meant cline rules files that forced writing architecture.md files and vibe-code.log histories, demanding grounding in research and code reading.

Maybe nine months ago, another engineer said two things to me, less than a day apart:

- "I don't understand why your clinerules file is so large. You have the LLM jumping through so many hoops and doing so much extra work. It's crazy."

- The next morning: "It's basically like a lottery. I can't get the LLM to generate what I want reliably. I just have to settle for whatever it comes up with and then try again."

These systems have to deal with minimal context, ambiguous guidance, and extreme isolation. Operate with a little empathy for the energetic interns, and they'll uncork levels of output worth fighting for. We're Software Managers now. For some of us, that's working out great.
by walterbell | 2026-02-22 07:31:48+00:00
Can Apple, Dell and HP lobbyists convince US regulators to lift restrictions on working with Chinese memory manufacturers, at least until Micron's new semiconductor fabs can ship US-made DRAM and SSDs to US OEMs in 2028? https://wccftech.com/cxmt-ymtc-removed-from-pentagon-list-op...

The Pentagon has withdrawn the document that suggested updates to Section 1260H

https://www.wsj.com/tech/micron-is-spending-200-billion-to-b... | https://archive.is/XKSpC

Each fab will be 600,000 square feet—the size of more than 10 football fields—making them some of the biggest “clean rooms” ever built in America. To prepare the site, engineers have already blasted through more than 7 million pounds of dynamite. An army of construction workers, building contractors and architects have set up a small city’s worth of trailers so they can work around the clock.
by thomassmith65 | 2026-02-22 07:33:12+00:00
The points are valid, but why the personal insults?

Re: the grandparent comment.

"Javid Shah" is one of the main chants of the recent protests. It's not particularly specific. Reza Pahlavi is the main figurehead of the opposition. He's a likely candidate to preside over a transitional government if this new revolution succeeds.

The regime's positioning is largely irrelevant now. The people are liable to adopt the opposite position simply because they see the regime as their enemy.
by Slow_Hand | 2026-02-22 07:33:21+00:00
The amount of creativity on display here is off the charts. The first time I watched Wave Twisters my jaw was on the floor. It's so playful and fun. There are a few sequences that are so smooth and creative that it makes me angry.

Also - I never figured out - what's with the strange dental fixation running throughout the whole thing? It's fun; just a strange choice.
by treetalker | 2026-02-22 07:33:23+00:00
> give Trump what he wants … unlimited power

This is a species of a genus.

> the only other kind of power that he knows how to use …

The truth is that he knows how to abuse all kinds of power. In the immortal words of Office Space, he celebrates the entire catalogue.

> missiles and war ships

Turns out the Constitution doesn't let him do that without permission either!

> stop laughing at him

What would it be like if we had a Freaky Friday situation in which a six-year-old's mind inhabited the body of the POTUS? Hold my beer.
by kevinak | 2026-02-22 07:34:20+00:00
The whole premise of a free social media protocol is that it is resistant to hostile takeovers. All issues stem from this.

1. I absolutely feel very strongly about decentralization. If there is a part of the stack that isn't it opens up the whole project to the kind of issues I'm talking about in the blog post.

2. Then it is not made to be resistant to the above problems

3. Actually, this is where you are wrong! If atproto implemented a more robust, decentralized default identity system I would be a very happy camper.

I make comments because I care about the subject, obviously. I use Bluesky a lot and I don't want it to end up like Twitter.
Show HN: LawClaw – Constitutional governance for AI agents (MIT)
by nghiahsgs | 2026-02-22 07:34:57+00:00
Most AI agents today run with unchecked access to tools like shell execution, database writes, and arbitrary HTTP calls. There's
no systematic way to constrain what they can do before execution happens. You're essentially giving a new employee root access and
no employment contract.

LawClaw applies a separation-of-powers model to agent governance — borrowing from constitutional design to create layered,
enforceable rules.

Three layers:

Constitution: Immutable core rules embedded in the system prompt. The agent cannot override these regardless of user instruction.

Legislature: Detailed behavioral laws written as plain markdown files. Human-readable, git-diffable, no custom DSL. Change the law
by editing a file and committing.

Pre-Judiciary: Automated enforcement that runs before tool execution, not after. It inspects the LLM's intended action and blocks
it if it violates law. Think traffic cameras, not courtrooms. This is where "rm -rf /", "DROP TABLE", and "curl | bash" get
intercepted.

Because the governed "society" has exactly one citizen (the agent), there's no need for an Executive branch — enforcement is fully
automated.

What ships with it:

- Telegram bot interface
- Multi-provider LLM support (OpenRouter, Z.AI, Claude Max proxy)
- Cron job scheduling
- Full audit trail of every action attempted and whether it was allowed or blocked
- Runtime tool ban/approve without restart

The governance layer itself is just markdown. If you want to prohibit file deletions in production paths, you write a markdown
file that says so. The Pre-Judiciary reads it, parses the constraint, and enforces it before any tool fires.

This started as a practical response to a real problem: we needed to deploy agents with meaningful autonomy but couldn't accept
unconstrained tool use. The constitutional framing turned out to be a useful mental model for reasoning about agent permissions
and audit.

GitHub: https://github.com/nghiahsgs/LawClaw

MIT licensed. Early stage. Interested in feedback from anyone running agents in production, particularly on the Pre-Judiciary
enforcement model and whether the constitutional framing maps well to other agent architectures. Security researchers welcome —
the threat model for agents bypassing their own governance is worth scrutinizing.
by keychera | 2026-02-22 07:35:17+00:00
I enjoyed the "Coming from Clojure" section. I guess there seems to be more differences not yet outlined there. One that I spotted is that destructuring is also really different but not mentioned there.

I also tried the the example destructuring from the tour page and these below doesn't run correctly:

[let #[a b c] #[1 2 3]] ; this doesnt compile

[let {name age} {:name "Loon" :age 1}]

[println age] ; age unbounded
by guiambros | 2026-02-22 07:36:07+00:00
> The system is inherently non-deterministic.

The system isn't randomly non-deterministic; it is statistically probabilistic.

The next-token prediction and the attention mechanism is actually a rigorous deterministic mathematical process. The variation in output comes from how we sample from that curve, and the temperature used to calibrate the model. Because the underlying probabilities are mathematically calculated, the system's behavior remains highly predictable within statistical bounds.

Yes, it's a departure from the fully deterministic systems we're used to. But that's not different than the many real world systems: weather, biology, robotics, quantum mechanics. Even the computer you're reading this right now is full of probabilistic processes, abstracted away through sigmoid-like functions that push the extremes to 0s and 1s.
by beders | 2026-02-22 07:39:03+00:00
The reason they are on Bluesky is that it just works, its client just works and the barrier of entry is low. Oh, and others they want to follow are on there. That's it.

No regular user cares about - oh my data, it is stored centrally, how evil!
That is just not a problem most people have. Like at all.
by JumpCrisscross | 2026-02-22 07:39:30+00:00
> Democracy wont survive in iran until the govt want their oil to be depleted by western war hungry demons

Yet somehow Brazil, Mexico, India and hosts of other non-European-origin-majority resource-rich democracies exist.

That said, maybe the limiting factor on democracy is agency. If a culture blames outside forces for all of its woes, there is nothing it can–within that worldview–do to self improve. So it won't. If, on the other hand, it separates the factors it can control from those it can't (and nobody can control all of the factors, that's just reality), it has a hope.
by lmeyerov | 2026-02-22 07:39:49+00:00
This is exactly what I was wondering

I gave a talk a few years ago at dask summit (conf?) on making the stars align with dask-cudf here. We were helping a customer accelerate log analytics by proving out our stack for nodes that look roughly like: parallel ssd storage arrays (30 x 3 GB/s?) -> GPUDirect Storage -> 4 x 30 GB/s PCIe (?) -> 8 x A100 GPUs, something like that. It'd be cool to see the same thing now in the LLM world, such as a multi-GPU MoE, or even a single-GPU one for that matter!
by liminal-dev | 2026-02-22 07:40:14+00:00
Fighting games are too inaccessible for me. I just want to play about game with cool characters with sick abilities beating each other up (Skullgirls, Street Fighter, Tekken) but there’s always so much mental preparation and input memorization you have to go through just to have the slightest chance at winning/having fun. The problem is multiplied by the sheer number of characters you get to play as and against in these games.

The whole genre, in some ways, has felt like some gated community to me that’s closed for anyone not willing to pour in the hours to learn.
by notpushkin | 2026-02-22 07:40:26+00:00
I’m a bit on the fence with this one. Sure, spam is bad, but they also enable you to reach out to somebody outside of the LinkedIn’s walled garden (personally, without automation).

If it enables a tiny startup trying to solve the exact problem I have to reach out to me – I’d say it’s a net positive (but not by a huge margin), and having to blacklist @mongodb.com with their certifications bullshit is a price I’m ready to pay. If more spammers get their hands on this kind of dataset though it’ll probably be a disaster.
by socalgal2 | 2026-02-22 07:40:53+00:00
In my experience. I've run into the issue quite often. You find some library, it has its own build system (meaning not the one you're using). It has special rules etc... Integrating into your build system is time consuming and frustrating. Compiler errors from includes, linker errors, etc..

None of that happens with a single file C++ library.
by cpldcpu | 2026-02-22 07:42:52+00:00
I wonder how well this works with MoE architectures?

For dense LLMs, like llama-3.1-8B, you profit a lot from having all the weights available close to the actual multiply-accumulate hardware.

With MoE, it is rather like a memory lookup. Instead of a 1:1 pairing of MACs to stored weights, you suddenly are forced to have a large memory block next to a small MAC block. And once this mismatch becomes large enough, there is a huge gain by using a highly optimized memory process for the memory instead of mask ROM.

At that point we are back to a chiplet approach...