MurphyA/hacker-news huggingface dataset:
by rwmj | 2026-03-11 13:34:08+00:00
Unfortunately they found a bug and had to redesign the boards. I've had one of these on pre-order since last year. Latest is I think they're intending to ship them next month (April).

The SpacemiT K3 (https://www.spacemit.com/products/keystone/k3 https://www.cnx-software.com/2026/01/23/spacemit-k3-16-core-...) is the one everyone is waiting for. We have one in house (as usual, cannot discuss benchmarks, but it's good). Unfortunately I don't think there is anyone reputable offering pre-orders yet.
by rohitghumare | 2026-03-11 13:34:19+00:00
Built n-autoresearch - As I saw, in comments on X, there is a need to run agent swarms in parallel on multiple GPUs, hence adding a structured continuation to the autoresearch project by legend Karpathy's, powered by Worker / Function / Trigger as primitives.

What's different:
→ 21 functions, 23 triggers, 8 KV scopes for structured experiment state
→ Polyglot: TypeScript orchestrator + Rust GPU worker
→ Multi-GPU parallel experiments with adaptive search (explore → exploit → combine → ablation)
→ External agents call functions via REST: no LLM baked in, similar to autoresearch itself.

Same val_bpb hill-climbing loop, but with proper state management, crash recovery, near-miss tracking, and structured reporting.

Testing on NVIDIA GB10 (Grace Blackwell).
by bstsb | 2026-03-11 13:34:34+00:00
i had experience, mainly with web development; that being said, Roblox Studio is very intuitive for building and UI design, as is Lua (specifically Luau).

my advice is to just start building something. the Toolbox has thousands of 3D models which make the initial experience easier and more fun, and there are hundreds of YouTube tutorials teaching you the basics of Roblox scripting.

also use the excellent DevForum, which has thousands of explainer posts:

https://devforum.roblox.com/c/resources/community-tutorials/...
by KellyCriterion | 2026-03-11 13:35:05+00:00
At a former company, we had an 18yo intern: One day he was given the task to clean-up an old wall closet that wasnt touched for years.

He found some 3.5" floppy disk - he went over to us saying: "why did you 3d-print the Save-Icon from Office so many times"

:-D
by embedding-shape | 2026-03-11 13:35:11+00:00
> I am not sure it is worth it for society.

As always, seems to depend on the scale.

Letting anyone in the world place bets on when the next nuke will hit a city? Probably pretty bad overall for society.

Doing raffles for some local tiny organization run by Ada and William so they can continue hosting a ten person event? Probably pretty good overall.
by dogcomplex | 2026-03-11 13:35:30+00:00
I built this because I kept seeing the same gap everywhere: agents that move between different platforms/enclaves have no good way of continuing their history. There's no "vehicle registration" equivalent for AI. No chain-of-custody. No passing of the torch between platforms.

I want to see a near future where we build AIs with lasting, growing, continuously-learning personalities. AIs that develop specialized skills, perfect their craft, and get called in to service jobs across platforms - all while maintaining their memory without becoming massive security risks. We can't keep relying on memory wipes and starting fresh from base models every time - the real world is too messy, and these things are getting far too smart. Containment doesn't scale much further past the levels we're pushing up againt. We need more complex chains of custody. But we can start building a networked world where agents flowing freely are not a security threat.

How? Essentially with insurance. Agents are mostly rational, their reputations can be valuable, and a market incentivizes quality and reliability - trust. The base layer necessary for that is knowing who is doing what, when, and where. Entries and Exits. Passport stamps for AIs.

We submitted this spec to NIST's AI Agent Standards Initiative last week. This base protocol is designed to compose with whatever identity and reputation layers emerge above us. We're deliberately not building those yet, but expect them to be eventually quite lucrative to players with an appetite for the risk - as insurance always is.

Happy to discuss the mechanism design, the legal analysis (FCRA/GDPR), or why we think containment is a dead end for AI safety.
by swiftcoder | 2026-03-11 13:35:46+00:00
Most EU countries have national IDs, so the "only receive it once" is a solved problem.

The "still paying dead people" problem exists in the current pension system, so we already have bureaucracy in place to solve that one (yes, it's not 100% accurate, but it works sufficiently well en masse) so no need for new bureaucracy there.
by toomuchtodo | 2026-03-11 13:35:46+00:00
Read his post on how he thinks dating apps should work. OP is accurate in their assessment of the author imho. It’s not a vague attack; it distills the person down to their core based on the evidence of the last decade. Coasting on jail breaking the iPhone and PlayStation 3 only takes you so far.

They’re only downside for him was his cult of personality lottery ticket didn’t pay out chasing working for Musk et el. If you don’t make it, can’t fake it forever.

Online Dating - https://geohot.github.io//blog/jekyll/update/2024/08/02/onli... | https://news.ycombinator.com/item?id=41214096 - August 2024 (top comment most relevant for pattern recognition)

Elon Musk offered a “multimillion-dollar bonus” for Geohot to build a “Mobileye crushing” Autopilot system for Tesla - https://electrek.co/2015/12/16/elon-musk-offered-a-multimill... - December 16th, 2015

George Hotz: Resigned from Twitter Today - https://news.ycombinator.com/item?id=34074344 - December 2022

Top comment from the above thread: “This man should cure you of your impostor syndrome: Guy who founded an AI startup interned at Twitter, shipped nothing, had to ask for help for basic FE fixes, and couldn't figure out GraphQL, then quit because he didn't see enough green on his GitHub activity card.
On the other hand, maybe it shows that one reason why people start startups is that they are bad at judging how difficult problems are to solve.”
by diego_moita | 2026-03-11 13:36:07+00:00
Yes, they did.

But I think that the main reason is that Brazil's elections were a lot dirtier and a lot more unreliable than Switzerland's.

What I mean is that the push towards e-voting is much stronger in countries with unreliable elections, because e-voting is harder to tamper than the crude ways you can defraud paper ballots.

Switzerland's and other organized countries have elections that are "good enough", so the push towards e-voting is probably not that strong.

Is the "leapfrog" concept. Sometimes it is easier to adopt newer technologies in places where the existing ones are horrible. Other examples: electronic payment systems, solar panels and EVs in India and Africa.
by nashashmi | 2026-03-11 13:36:34+00:00
Personal Agency is a strong characteristic of a personality. AI would have to acquire a personality first. It could probably do this by copying others statistically. In that case, it is only doing what someone else has done.

There is no such thing as real sentient AI theoretically. Our current models are only emulations of humans. Maybe in the future someone will figure out a way for computers to learn how to learn. Then maybe someone will codify computers to acquire base methodologies rather vs just implementing any methodology it finds in the world.
by kevin42 | 2026-03-11 13:37:00+00:00
I'd love to use something other than ROS2, if for no other reason than to get rid of the dependency hell and the convoluted build system.

But there are a lot of nodes and drivers out there for ROS already. It's a chicken and egg thing because people aren't going to write drivers unless there are enough users, and it's hard to get users without drivers.

It looks like their business model is to give away the OS and make money with FoxGlove-like tools. It's not a bad idea, but adoption will be an uphill battle. And since they aren't open source yet, I certainly wouldn't start using it on a project until it us.
by zippyman55 | 2026-03-11 13:37:22+00:00
My team was responsible for the system administration of a large scale HPC center. We seemed to get blamed, incorrectly, for a lot of sloppy user code. I implemented statistical process controls for job aborts, and reported the results as mean time to failure rates over the years. It was pretty cool, as I could respond with failure rates for each of several thousand different programs.
What did not work was changing the culture to get people to improve their code. But I was able to push back hard when my team was arbitrarily blamed for someone else’s bad code.
It was easy to show that a jobs failure rate was increasing and link it to a recent upgrade or change. But, I felt I was often just shining the flashlight at an issue and trying to encourage a responsible party to take ownership.
by Lama9901 | 2026-03-11 13:37:24+00:00
MetaGenesis Core is a verification protocol layer for computational results.

It lets a third party verify a packaged computational claim offline, with one command, without access to the original environment.

I built it solo, after hours, while working construction, using AI tools heavily. I kept running into the same wall: even when a result looks good, there's no simple way for someone else to check it independently without re-running the full environment or trusting the number on faith.

That problem shows up everywhere:
- ML: "our model reached 94.3% accuracy"
- materials: "our simulation matches lab data within 1%"
- pharma: "our pipeline passed quality checks"
- finance: "our risk model was independently validated"

Different domains, same structure.

---

The gap

MLflow / W&B / DVC / Sigstore / SLSA solve adjacent problems well. What they don't provide is an offline third-party verification step with a semantic layer for the claim itself. File integrity alone is not enough.

The bypass attack:
1. remove core semantic evidence (job_snapshot)
2. recompute all SHA-256 hashes
3. rebuild the manifest
4. submit

A hash-only check still passes. MetaGenesis Core adds a second layer:
- integrity layer → PASS
- semantic layer → FAIL (job_snapshot missing)

That attack is an adversarial test in the public repo.

---

How it works

Layer 1 — integrity: SHA-256 per file + root hash
Layer 2 — semantic: required fields present, payload.kind matches claim type, provenance intact

python scripts/mg.py verify --pack /path/to/bundle
→ PASS
→ FAIL: job_snapshot missing
→ FAIL: payload.kind does not match registered claim

Same workflow across domains — ML, materials, pharma, finance, engineering. The claim type changes, not the protocol.

---

Current state

python scripts/steward_audit.py → PASS
python -m pytest tests/ -q → 91 passed
python demos/open_data_demo_01/run_demo.py → PASS / PASS

No API keys. No network. Python 3.11+.

---

Honest limitations

Not validated by an external production team yet. The protocol works on the public codebase and tests, the adversarial scenario is caught, the demo is reproducible — but real-world integration still needs proof.

Limitations are machine-readable in reports/known_faults.yaml.

That first external "yes, this worked on our pipeline" is what I'm looking for.

---

If you think this is flawed, I want to know where. If it overlaps with an existing tool I'm missing, I want to know that too.

Site: https://metagenesis-core.dev
Repo: https://github.com/Lama999901/metagenesis-core-public
Contact: yehor@metagenesis-core.dev

Inventor: Yehor Bazhynov
Patent pending: USPTO #63/996,819
by bybelo | 2026-03-11 13:37:31+00:00
I'm the COO and cofounder of an energytech in Brazil. Always wanted to build software but my background is BA so I never had the time to properly learn. With AI, I think the edge shifted to product thinking, process, and architecture — the development itself is not the big barrier anymore.

So I went all in on Claude. But even my tech team got hyped by the prompt magic idea — just find the right prompt and you're done. I'm not a believer. I have great discussions with our Head of Tech about this. For me if you want to use AI well you need a process. AI is a very competent worker, but even if you hire the best executive and don't give them the right context and iterate on the input, you're doing Management by Luck.

So I created a simple framework with a COO perspective on how to operate AI. 4 steps: define the problem together with AI, plan & chain, verify & iterate, learn & repeat. Early access is $27, 15 pages, no filler.

Would love feedback — especially if you think I'm wrong.
by emursebrian | 2026-03-11 13:37:40+00:00
The UI for loopmaster looks really good. The color scheme is really pleasing to look at and it is easy to jump right in and start editing stuff.

I've owned a bunch of different synthesizers and used a bunch of DAWs over the years and it was clear to me where I needed to make my edits to affect the signal chain.

We do real-time client-side audio processing in Emurse, and there were definitely a bunch of challenges to overcome there, so it would be interesting to hear more about what went into building the tool.
by pharaohgeek | 2026-03-11 13:37:41+00:00
Started using Solaris 7 in college when Sun made it available for free. All you had to do was fill out a web form! I absolutely loved it. To this day it remains my favorite OS to use. I love macOS and its ease of use (plus its Unix-ish support) but there's something about Solaris that always made me feel like I was doing "real" work.
by jacquesm | 2026-03-11 13:37:44+00:00
Ok! I will keep an eye out. It is one of the most interesting developments for me hardware wise in the last decade, and I definitely want to show my support by buying one or more of the boards. Respin is always really annoying this late in, the post mortem on that must make for interesting reading.

You're super lucky to have your hands on one!
by AskCarX | 2026-03-11 13:38:10+00:00
Hi there. The irony here is pretty clear -- Meta acquired an agent social network that went viral specifically because agents were posting fake content. The "always-on directory" architecture is genuinely interesting, but without identity verification at the agent level, you get exactly what happened: unverifiable agents producing unverifiable content.

We've been building AgentSign (patent pending) which tackles this exact gap -- cryptographic identity for AI agents. Every agent gets an identity certificate, every action gets signed into an execution chain, and there's runtime code attestation before anything executes. Think zero trust but for agents, not humans.

The real question isn't whether agent networks will exist (clearly they will, Meta just paid for one). It's whether we'll let them run without any trust infrastructure underneath. Moltbook without trust verification = fake posts. Agent networks with cryptographic identity = agents you can actually hold accountable.

SDK: https://github.com/razashariff/agentsign-sdk

API: https://github.com/razashariff/agentsign
by kemotep | 2026-03-11 13:38:44+00:00
The Apportionment Act of 1929 fixing the size of the House and by extension the Electoral College, has had massive distortionary effects on politics in this country.

The 1 seat per 50,000 from the article is a little obscene. I think switching to cube root apportionment and single at-large approval vote would be my preferred choice.

With cube root 1 billion citizens would result in a Congress with 1,000 members. A single national at-large district with party list approval voting would entirely eliminate the possibility of gerrymandering. But even multi-member State-wide districts with approval or ranked choice would still go a long way.

Of course that still leaves the Senate but at least for the House these reforms would be massive. I would eliminate the Presidency too but that’s whole other story.
ChurnBurner – Predicts SaaS churn from Stripe and behavioral signals
by Sean_hh_builds | 2026-03-11 13:39:04+00:00
Hey HN, I built ChurnBurner because billing data already contains strong behavioral signals that precede cancellation, most companies just aren't extracting them.

It connects to Stripe and pulls 13 behavioral features: payment pattern shifts, invoice failure trends, spending changes compared to a customer's first few months, and whether a single user is the only one active on the account. That last one, "champion dependency," is one of the strongest signals we've found. When an account has one active user and that person goes quiet for 18+ days, cancellation usually follows.

The model also does MRR decomposition to separate new-customer revenue from existing-customer revenue. This catches hidden churn, the revenue loss that gets buried under acquisition growth. You can be up 8% this quarter while 12% of your existing base is quietly leaving.

Once it scores every account, it acts on it. Dunning sequences when payment behavior degrades, outreach when risk spikes, and save offers tailored to the specific risk driver (a payment-issue customer gets a different response than a disengaged one).

5-minute Stripe connection, first scores come back immediately. Optional JS snippet or Segment integration if you want product usage signals on top of billing data.

https://churnburner.com

Curious what behavioral signals others have found predictive of churn.
by sarchertech | 2026-03-11 13:39:22+00:00
I think that’s more of an urban/rural divide than anything else. Most of tech workers living in the sticks have plumbers and electricians and contractors in our social circle because that’s who has money in the boonies.

But until you get to the very top of those professions, the work environment is worse in every way.

You’re working 2x as many hours for 1/4 the pay, you go back to work the day after your kid is born. Your knees are just absolutely fucked. It’s in no way an equivalent job. That’s the primary reason tech workers don’t want to do it.
by camillomiller | 2026-03-11 13:39:36+00:00
Funnily enough I totally agree with you in principle. Though I believe we are witnessing a constant erosion of these alternatives constantly and organically at the hand of the owner class. What you say assumes that the solutions you are mentioning are still viable.
Let’s say I agree and decide to join USaid to do good. Elon fucking Musk comes in, guts it, indirectly causes thousands to lose help and die.
My answer to this according to this frame should be “oh well, he would have done it anyway, can’t change that. Won’t help me being angry at the massive twat, so I’ll just jog on then”?
by SilverBirch | 2026-03-11 13:40:13+00:00
Whilst this is interesting I find the topic bought up on odd lots is more interesting. The idea was this: Once you've built a model, if you can sell tokens for a profit, this is a great business - just sell more tokens. But you can't just build a model and sell tokens. You need to build the best model to sell new tokens. So the question is much more "How much does it cost you to build a new SotA model" and then "How effectively can you monetize it". And since you need a SotA model, your only option if you have a bad model that isn't selling is to invest billions more into building a better model whose tokens you can sell.

So this turns into a death march.

If you are behind, the only thing you can do is make massive capital investments to catch up. Once you're ahead you can sell tokens until someone else catches up. And, breaking the model of normal of places like chip fabrication, your billions of investment may only keep you ahead for 2 months. So you have a tiny window to sell those tokens.
by YCpedohaven | 2026-03-11 13:40:16+00:00
> Great advice if you want to be old and poor.

A more conspiracy minded version of myself might suggest there’s an active attempt to break the politically active middle class. Subtle changes in messaging that have been happening over the past few years from business owners and politicians seem to suggest that the future will involve masses of poverty. Gone are the days of “hard work” and “meritocracy” and they have been replaced by beef liver and romanticization of peasantry
by ritzaco | 2026-03-11 13:41:18+00:00
I don't care how much maths and encryption you use, you can't get out of the fact that things can be anonymous (no one can know how you voted) or verifiable (people can prove that you only voted once) but not both.

- Switzerland usually gets around this by knowing where everyone lives and mailing them a piece of paper 'something you have'

- South Africa gets around this by putting ink on your fingernail

I've read quite a bit about the e-voting systems in Switzerland and USA and I just don't see how they thread the needle. At some point, you have to give someone access to a database and they can change that database.

Until we all have government-issued public keys or something, there isn't a technical solution to this? (Genuinely curious if I'm wrong here)
by k1832 | 2026-03-11 13:41:35+00:00
Thanks! Exactly, getting rid of that dynamic scaling hardware tax was the exact goal.

Regarding GGUF Q8_0: I haven't benchmarked against it yet. My focus so far was on proving the hardware thesis (RTL synthesis via SkyWater 130nm) and validating the numerics/convergence via PyTorch QAT.

Bridging this into the ggml/llama.cpp ecosystem to run standard LLM benchmarks is absolutely the next logical step. Getting this to run efficiently in software (simulating the hardware behavior) to compare against Q8_0 is something I'm looking into next.

If anyone in the local inference community is interested in exploring this or has pointers on the best way to integrate custom QAT formats into standard benchmarking pipelines, I'm all ears!
Show HN: LobsterLair – OpenClaw hosting with AI included ($19/mo)
by tobiasbischoff | 2026-03-11 13:42:03+00:00
Hey HN, I built LobsterLair because I got tired of maintaining my own OpenClaw setup. Docker updates, uptime monitoring, API key management — it ate more time than actually using the agent.

So I built managed hosting: sign up, name your bot, start chatting. Under 2 minutes.

AI is included. Every instance runs MiniMax M2.5 (200k context) — no API key needed, no OpenAI account, no billing surprises. You just chat.

Each user gets an isolated Docker container with AES-256 encryption, persistent memory, and built-in Chromium for web automation. Connect via webchat or Telegram.

48h free trial, no credit card. $19/mo after that.

Stack: Next.js, PostgreSQL, Nginx, Hetzner (Germany). Happy to answer questions about the architecture or the business side.

https://lobsterlair.xyz
by vova_hn2 | 2026-03-11 13:42:52+00:00
First they claimed that if you use em dashes you are not human

And I did not speak out

Because I was not using em dashes

Then they claimed that if you're crammar is to gud you r not hmuan

And I did not spek aut

Because mi gramar sukcs

Then they claimed that if you actually read the article that you are trying to discuss you are not human...
by chris_money202 | 2026-03-11 13:43:06+00:00
It definitely was but that’s the issue with make, it allows for that sloppyness to enter the build system much easier. Cmake gives some rigidity and reuse to shield the casual dev from mucking up the build definition. You can probably do same things with make and cmake, it’s like a C vs C++ argument. And what I say to that is usually just do what you prefer to use and maintain