MurphyA/hacker-news huggingface dataset:
by vivzkestrel | 2026-03-01 04:03:36+00:00
- amazing, lots of questions if you dont mind answering

- where did you get this design system

- what are the sources for these news items

- how does that 3d rotating globe map work (implemented?)

- what stack is this? react/vue/svelte/solid/something else?

- how long did it take you to make this? and how many of you made it?
by txrx0000 | 2026-03-01 04:04:25+00:00
The solution to these problems is to make open-source models better and more resource-efficient. Work towards a world where everyone can run an AGI on their own computer. Not with remote API calls, but local inference and finetuning.

Right now, almost every model is aligned to some corporation's values. Instead of doing that, we should be aligning them to individual humans, and that requires running and tuning them locally. Corporations do not have human values, they have machiavellian values dressed in human suits. Aligning AIs to corporations (and god forbid governments) is how we end up with giant shoggoths. But if we align them to living breathing human individuals, we get digital humans.

Garbage will flood the internet, but your local AI buddy will filter it for you. The defense against a pseudoreality generator is a pseudoreality detector that you operate. Before AIs, the fake info was generated by other humans with their own brains, but you also have a brain that's just about as powerful, so you can tell what's real and what's fake. But now artificial NNs are becoming more powerful to the point of surpassing your brain's detection capabilities, so you need an artificial NN to detect it. The real danger is intelligence asymmetry, not intelligence itself.
by willj | 2026-03-01 04:05:16+00:00
The temperature parameters largely went away when we moved towards reasoning models, which output lots of reasoning tokens before you get to the actual output tokens. I don’t know if it was found that reasoning works better with a higher temperature, or that having separate temperatures for reasoning vs. output wasn’t practical, but that’s my observation of the timing, anyway. And to the other commenter’s point, even a temperature of 0 is not deterministic if the batches are not invariant, which they’re not in production workloads.
Show HN: A GFM+GF-MathJax/Latex HTML formatting adventure
by ycombiredd | 2026-03-01 04:05:24+00:00
I think this is apropos of the "Show HN" tag, as the post is explanatory and the entire codebase this little side-story use case discussed in TFA is in the repo and free to use. (I'd be pleased if you did!)

In the post, as I tried to capture in the title submitted, I outline my journey of exploration, when I became determined to make GitHub-Flavored Markdown display my text, with color, style and alignment of my choosing, which as I discovered after setting out to do so, the inability to do such a thing outside of fenced blocks with pre-defined syntax highlighting is a well-known condition, which is met with "works as intended" response because, well, GitHub doesn't want their repos looking like MySpace or Geocities or presenting security risk exposure by allowing arbitrary html/CSS styling. Sure, I should have used GitHub Pages to build a page from my Markdown using Jekyll, which is a supported way to control the styling of your own documents in your repo, but where's the fun in that?

The linked post documents the workaround I arrived at, which became an output target format that nobody has ever asked for from my ASCII line-Art diagramming tool. I thought some here might appreciate the documentation of "wasting my time so you don't have to" on a technical solution for a problem I probably just shouldn't have cared about and moved on.
by alluro2 | 2026-03-01 04:05:57+00:00
A similar scenario to this played out in Yugoslavia and overthrowing of the previously proven, and definitely not 90% manufactured "evil, genocidal and dictatorship regime" of Slobodan Milosevic. A lot of people cheered, including many expats, and "democracy" and "freedom" were finally gifted to the people. To be clear, I, in no way, justify any atrocities committed in war by any party - but "evil" and "savage" was used to describe a lot of legitimate reactions of the country, in a very similar way to how Iran is now "savagely attacking" innocent countries around them.

What happened afterwards in reality was 20+ years of escalating corruption and sale and systemic destruction of any valuable assets - culminating in the government of Aleksandar Vucic, member of Milosevic's regime, who in the recent years pumped out absolutely incredible amounts of money out of the country and is a de-facto dictator.

If you ask people who remember living under Milosevic about how it was, they all say the same thing - bad in some ways, but certainly better than this, and that he was a "little kitten" compared to the current fully criminal organisation.
Show HN: SpecLock – AI Constraint Engine that stops AI from breaking locked code
by sgroy10 | 2026-03-01 04:06:12+00:00
I built SpecLock because I was tired of AI coding assistants "remembering" my constraints then ignoring them when inconvenient.

The problem: Claude Code has auto-memory. Cursor has Memory Bank. But memory without enforcement is dangerous. Your AI remembers you use PostgreSQL — then switches to MongoDB because it "seemed better."

SpecLock adds active constraint enforcement:
• You: "Don't ever touch the auth files"
• AI: Locked
• ...5 sessions later...
• You: "Add social login"
• AI: CONFLICT: This violates your lock. Should I proceed?

Key features:
- Semantic conflict detection (synonym + negation, not just keywords)
- Auto-guard related files (injects warnings into source code)
- Works with Bolt.new, Lovable, Claude Code, Cursor
- 19 MCP tools for memory, tracking, enforcement
- Free & open source (MIT)

Demo: https://sgroy10.github.io/speclock/
GitHub: https://github.com/sgroy10/speclock
npm: npm install speclock
by galaxy_tx | 2026-03-01 04:06:26+00:00
This is the part that interests me most. The IKEA analogy from the parent comment assumes the carpenter's only option is to build the same furniture faster. But what if the carpenter uses the prefab stuff for the boring parts and spends their real energy on the joints and details that actually matter?

I've noticed this pattern in music too - the people who understand theory deeply use generative tools in ways that beginners literally can't, because they know which output to keep and which to throw away. The tool doesn't replace the taste, it just gives you more raw material to apply taste to.

But here's what I keep wondering: does expanding the scope of the possible eventually erode the deep understanding that makes the expansion valuable in the first place? Like, if you never have to debug a memory leak because the agent handles it, do you lose the intuition that would let you architect systems that don't leak in the first place?
by galaxy_tx | 2026-03-01 04:08:07+00:00
The genetic algorithm comparison is actually pretty apt. Generate variations, evaluate fitness, keep the survivors. The main difference is that LLMs have a much richer prior about what "good" looks like, so the search space is dramatically smaller than random mutation.

But it raises an interesting question about where the fitness function comes from. In traditional GAs you define it explicitly. With LLM-generated code, the fitness function is often just "does it pass the tests" - which means the quality of your tests becomes the actual bottleneck, not the quality of the code generation.

I wonder if that shifts the core skill of programming from "write correct code" to "write correct specifications." And if so, is that actually a new problem, or is it the same problem formal methods people have been working on for decades, just wearing a different hat?
by rmast | 2026-03-01 04:09:33+00:00
It would probably be better to just eat all those different vegetables as part of actual meals to get a varied diet, rather than in pill form.

I was under the impression that more protein and less salt/fat/carbs are still kinda the trend? If more fiber gets added to the mix I guess it is essentially telling people to eat more plants, thus leading to more varied diets overall.
by danielhanchen | 2026-03-01 04:10:04+00:00
You forgot to check the disk sapce - _M and _XL are not the same across quants:

Unsloth Q4_K_M 18.49GB 0.5478 KLD 99.9% 0.0192 mean

Unsloth Q4_K_XL 19.17GB 0.4097 KLD 99.9% 0.0137 mean

bartowski Q4_K_M 19.77GB 0.5771 KLD 99.9% 0.0182 mean
by strken | 2026-03-01 04:11:26+00:00
Cottage cheese is quite low in fat for cheese. The one at my local supermarket is 11.3g protein, 2.4g fat, 6.3g carbs, and it's not a diet version.

It's still very salty and most of the carbs are in the form of the sugar lactose, I'm not really recommending it as a health food, it's just comparatively low in fat.
by throwdbaaway | 2026-03-01 04:12:08+00:00
We are all reasonable people here, and while you are (mostly) correct, I think we can all agree that Anthropic documentation sucks. If I have to infer from the doc:

* Haiku 4.5 by default doesn't think, i.e. it has a default thinking budget of 0.

* By setting a non-zero thinking budget, Haiku 4.5 can think. My guess is that Claude Code may set this differently for different tasks, e.g. thinking for Explore, no thinking for Compact.

* This hybrid thinking is different from the adaptive thinking introduced in Opus 4.6, which when enabled, can automatically adjust the thinking level based on task difficulty.
by red75prime | 2026-03-01 04:12:11+00:00
There's no need to think if you can grep. The only mentions of `unsafe` outside of C interface code where it's unavoidable (and the code is not required to use the library in Rust ecosystem) are [1] and [2]. A comment and a lint (unsafe_code = "deny").

[1] https://github.com/jonwiggins/xmloxide/blob/49b4433dd5e31242...

[2] https://github.com/jonwiggins/xmloxide/blob/49b4433dd5e31242...
by tempodox | 2026-03-01 04:12:25+00:00
I just wanted to thank you for this work. I wouldn’t have known where to start. Reading about all the hoops to jump through I can’t help but think that macOS is getting ever closer to being malware, just like Windows. An OS you have to fight to stay productive. I’ve been a Mac user since 1995, but the way this has been going over so many years now, I can’t imagine my next computer to be yet another Mac any more. I have been forced to view Linux as the last refuge. It was nice while it lasted, but eventually Stallman was right the whole time.
Show HN: Word-doodle – browser-based generative doodle text art engine
by koalux | 2026-03-01 04:14:05+00:00
word-doodle is a browser-based generative text art engine that takes string of text and transforms them into typographic doodles. word-doodle scatters words across the screen using a simple collision detection algorithm to place words into empty spaces. It includes a control hub where users can input text, change fonts, select text cases, and apply word limits with additional options to generate the doodle, wipe the screen, or take a screenshot.

The Engine
The word-doodle engine transforms raw text into organized art via a three-step generation pipeline:

1. Vocabulary Analysis & Frequency Mapping
-When text is provided, the engine parses the string into individual tokens. It converts all words to a uniform uppercase format to ensure accurate counting. Then it calculates how many times each unique word appears, identifying the maxFrequency to establish visual weight for each word.

2. Word Weight Scaling
-Size: fontSize is determined by a random base value scaled by the word's frequency weight.
-Weight: High-frequency words (above 80% weight) are automatically assigned a fontWeight of 700 for extra impact.
-Orientation: To make it more visual appealing, there is a 15% chance a word will rotate 90°, switching to a vertical placement.

3. Collision Detection
-Coordinate Generation: The engine picks a random (x,y)coordinate within the viewport.
Boundary Validation: It compares the candidate's bounding box against every word already placed on the canvas, including a 5px safety padding.
The Retry Loop: If an overlap is detected, the engine attempts to find a new spot. It will try up to 70 different positions before skipping the word. This prevents infinite loops and keeps the browser performance smooth even with high word counts.

Check out the live demo here: https://j-ncel.github.io/word-doodle/
by groundy | 2026-03-01 04:14:27+00:00
The Search Landscape Has Fundamentally Changed
In the span of just two years, how people find information has undergone a transformation more dramatic than the shift from Yellow Pages to Google. The rise of AI answer engines—ChatGPT, Perplexity, Google AI Overviews, and Microsoft’s Copilot—has created a new paradigm for content discovery. Welcome to the era of Answer Engine Optimization (AEO).

For two decades, Search Engine Optimization (SEO) followed a familiar playbook: target keywords, build backlinks, optimize metadata, and climb the rankings. But when a user asks ChatGPT “What’s the best CRM for small businesses?” or queries Perplexity about “enterprise AI implementation strategies,” there are no blue links to optimize for. There’s only the answer—and your brand is either in it, or it’s invisible.

This isn’t speculative futurism. According to recent data from HubSpot and Gartner, AI-powered search interactions are projected to handle over 1.5 billion queries daily by mid-2026. For marketers, the implications are stark: traditional SEO tactics alone are becoming insufficient for visibility in an AI-first world.
by kazinator | 2026-03-01 04:16:02+00:00
> It’s one thing for the government to reject Anthropic’s terms—and entirely another to banish them permanently and, absurdly and punitively declare them a supply chain risk. Worse, they did it in favor of someone else who took pretty similar terms and happened to have given more campaign contributions.

It's just a variation on Snowball being chased off Animal Farm.
by thaumasiotes | 2026-03-01 04:16:36+00:00
> he’d worked out a proof that the algebraic numbers (the numbers you get as solutions to algebra problems) could be counted

I can't say I'm fully comfortable with that characterization of the algebraic numbers. The definition itself does suggest a proof that they are countable:

1. The number of symbols that can appear in a well-defined algebra problem is finite. (For example, if we define algebra problems as being posed in written English, we can use an inventory of no more than 50 symbols to define them all. If we define "algebra problems" in some other way, the definition will specify how many symbols are available.)

2. The number of possible strings describing algebra problems, created from this finite symbolic alphabet, is necessarily countable, because the strings have finite length.

3. Each algebraic number is the solution to one of those strings, and therefore the algebraic numbers are countable.

But I don't really feel like it's possible to learn anything about the numbers from that proof.
by daxfohl | 2026-03-01 04:17:10+00:00
Yeah, hopefully an outgrowth of this will be new amazing applications like that, that we never could've dreamed of before. I imagine "distributed services" will be "solved" by EOY, and the days of glorified CRUD app coders making 200K straight out of college are over for good.

But I think there will be new opportunities for people who are willing and able to learn. Entirely new fields will pop up and somebody will have to work on them. Most likely, the CS grads who are out of a job, or just frustrated and want to do something else.

So I don't think the opportunity to do innovative things and make a difference in the world is gone. But the opportunity to do so by typing code into a text editor may have breathed its last.
by enima | 2026-03-01 04:19:02+00:00
Last year I needed to hire someone.
A friend recommended an agency. 6 weeks later, $16,000 gone, and I did half the work myself anyway.
Built HireFlow to fix that, it posts your job everywhere, finds candidates (that you will actually like to talk to), and books interviews on your calendar automatically.

Still pretty early and would genuinely love feedback from anyone who's hired before.
by Brajeshwar | 2026-03-01 04:19:32+00:00
I got a gift of a box of 3.5 Floppies about 10+ years ago. Dug up recently, and given each to my daughter and her neighbor friends, “Here is the SAVE icon. Keep it with you.”

I also remembered and completed the meme with a magnet stuck to the fridge.

https://xcancel.com/brajeshwar/status/2024862389850734912
by oefrha | 2026-03-01 04:21:11+00:00
I used to report quite a number of political/ideological-only accounts to mods through email. They're explicitly against the single purpose account rule. They usually got banned or at least warned.

Over the past year or two I reported a number of accounts that are basically pro-Israel-only, they post a ton of comments to any Israel-related thread and either nothing else or very little of anything else. Mods refuse to ban or even warn them, apparently because emotions run high, there are too many of them and there's priority in punishing the most egregious content so relatively mild ones get a pass, and if mods are being accused of being-antisemitic and they ban a bunch of these they would reinforce the image, etc. These are from memory and not exact quotes.

I don't buy it, and I've stopped reporting things to mods. (To be abundantly clear, anti-Israel-only accounts should 100% be banned too, but at least I haven't noticed as many as them. Any other kind of politics-only account should be purged too if the rules are to be believed.)
by _wire_ | 2026-03-01 04:22:53+00:00
"One of these things is not like the other, one of these things doesn't belong":

Carbon, silicon, meat.

But if you will insist on a false equivalency of silicon and meat, then there is still no double standard because meat finds itself existing, a priori, and ascribes to itself a soul given by a creator it cannot explain.

In the case of computers, meat is the creator, and meat must ask: at what point of the construction of a computer do we imbue it a soul?

If a soul is a natural property of silicon, then why no double standard about a beach or a glass bottle?

Never mind that the nature of computers is entirely stipulated, with no intelligible a priori properties. The soul is merely found, and therefore we have no need to explain at what point it is imbued to the meat.

As to the post hoc unintelligibility of the soul, however unsatisfying our lack of understanding, we find the question is integral to our nature as we have observed ourselves across all the generations of recorded history. The soul is the reserve of which gives rise to our questioning.

As AIs are crystalline impressions of our thoughts, with stochastic patterns of embedding and retrieval of our artifacts and therefore our behaviors, maybe the soul is transmitted to the computer via such embeddings?

But the distinction of the sovereignty of man over his creations versus his subservience to his creator must persist as long as our meat manifests our tools, but not vise-versa.
by muzani | 2026-03-01 04:24:03+00:00
It has the same problems as most other AI systems

1) Claims feel a little inflated (10+ h saved) and that hurts credibility everywhere. How do you know it's 10 hours when you don't even convince me that you know what I spend 10 hours a week on. If you nailed this properly, you'd have the Manus effect - people would immediately start declaring it a fake and discrediting it everywhere.

2) Price is vague and excessive. What's a credit? Why is it USDC? Everyone seems to do this vagueness, including OpenAI (free for minimal use, go for more use, plus for morer use, max for maximum use). I appreciate the transparency and get that it's anchored to hiring humans. Sellers will sell it as "Starting from $49/month!" but buyers will read it as "Up to $499/month!"

3) This is an extremely high anchor then. If it were a problem, I'd just build it myself or ask ChatGPT to. How do I know something like Manus doesn't already do it? And since the site itself is lazy, how do I know it's not just an API connected to a Ralph Wiggum loop?

The core problem is (1) though, it adds up and amplifies the other two.
by subset | 2026-03-01 04:25:55+00:00
I had good fun transliterating it to Rust as a learning experience (https://github.com/stochastical/microgpt-rs). The trickiest part was working out how to represent the autograd graph data structure with Rust types. I'm finalising some small tweaks to make it run in the browser via WebAssmebly and then compile it up for my blog :) Andrej's code is really quite poetic, I love how much it packs into such a concise program
by spopejoy | 2026-03-01 04:27:23+00:00
How convenient that your analysis elides debt servicing from war and increased discretionary military spending. Debt rose the most under Reagan and Bush and now Trump with the same call for cutting taxes while bloating military spending. And let's not forget the TARP and other bailouts in 2008. But by all means, talk about "corrective market forces that curb waste" -- tell me, when has any government in history been run by "market forces"?
by 827a | 2026-03-01 04:27:24+00:00
I find it morbidly fascinating how leadership at the same company can simultaneously believe all of "network egress is a staggeringly expensive component of data center rollout" yet "we should stream real-time input and video instead of shipping client software" and "the backend DCs to support this have to be built everywhere to reduce latency" plus "we can't bill this in any way that is correlative to our costs, because it won't make any sense to buyers", yet "we'll price it at a level that cannot possibly make sense for anyone except the most niche buyers".

Like, even at the most basic level: The kind of buyer that might be interested in this might actually be interested in something like per-minute pricing. If you only need Windows or Xbox Streaming for a few hours a month, just charge per minute. But they don't price it like that. Instead, a 2vcpu/8gb/256gb machine is $50/month. A similar machine from HP would cost, like, $400. And the best part is, if someone actually used it 8 hours per day, 20 days a month, 1080p60: That's like ~$28 in the cheapest tier of Azure bandwidth costs. And, I guess, you have to also buy a thin client device.

Just very unclear who any of these services are for.
by jmpman | 2026-03-01 04:28:52+00:00
I want this for two reasons - Solidworks - the non cloud version, doesn't run on my MacBook. I don't want to have two full sized computers.
Steam - again, too many games don't run on Macs.

I'd also go for a single click launch of a GPU powered virtual machine I can remote onto from my Mac. You'd think the various cloud providers would offer a single click solution. I haven't found it.
by throwaway290 | 2026-03-01 04:28:58+00:00
> our masters once again embarrass us unworthy peons with their endless grace

Masters who serve you in exchange for money?

be as sarcastic as you want but you demand a thing they did not agree to provide, for the same money = they have a right not to serve you. If you disagree with that and think they owe you something then you are the one playing master here.
by ssl-3 | 2026-03-01 04:29:37+00:00
Vaguely-related: With an OTG adapter (eg USB C to A), a person can plug a USB floppy drive into their pocket supercomputer.

A single disk won't even hold a single photo from the device's many-megapixel camera, but it works fine -- Android, Apple, whatever.

It is approximately the funniest fucking thing ever to have a floppy drive whir to life while connected only to a smartphone, and I strongly suggest to anyone with the means to make the time to experience it.