MurphyA/hacker-news huggingface dataset:
by thoughtfulchris | 2026-03-14 01:54:39+00:00
This is a fascinating report, not because of the content or even quality of the report, but because of the way it was generated. It is an AI generated report dumped into GitHub and has made it onto the front page of Hacker News with over 1,000 upvotes and many comments.

This type of GitHub-based open-source research project will become more common as more people use tools like Claude Code or Codex for research.
Show HN: DAAO – Deploy AI agents to your servers via Zero-Trust tunnels
by dan3093 | 2026-03-14 01:55:18+00:00
A month ago I wanted one thing: to start a coding session on my desktop and pick it up from anywhere — my phone, my
couch, another machine — without setting up a VPN or leaving SSH ports open.

I built that. Then I kept going.

DAAO (Distributed AI Agent Orchestration) — but it started a lot simpler than that name suggests.

It deploys a single Go binary to any server (Windows, Linux, macOS). It opens an outbound-only mTLS gRPC tunnel back
to a central control plane. No inbound ports. No VPN. No SSH. From a web Cockpit you get live terminal sessions that
survive browser disconnects, full session recordings with playback, real-time CPU/memory/disk telemetry, and an Agent
Forge for deploying AI agents to your servers.

The agent piece is where it got interesting. You deploy an infrastructure discovery agent from the UI, it
auto-provisions its runtime on the server, runs, and streams its output back live. I watched it map my own homelab —
AMD Ryzen 7 9800X3D, 64GB RAM, RTX 4090, 12 containers running, all listening ports, drift from the last scan. In real
time. Through a browser. On a machine that has no inbound ports.

That's when I realized this was more than a personal tool.

I built all of this in the last month. I work a 9-5. I have a family depending on me. I used AI agents heavily to move
fast — and I won't pretend I fully understand every piece I shipped. But it works, it's tested, the CI is green, and
I'm proud of it.

What's in the community edition (free, BSL 1.1):
- Cross-platform satellite daemon (Windows ConPTY, Linux/macOS POSIX PTY)
- Live terminal sessions with ring buffer, reattach, multi-pane dashboard
- Session recordings (asciicast v2, full playback controls)
- Real-time satellite telemetry
- Agent Forge with 3 built-in agents (Log Analyzer, Security Scanner, Infrastructure Discovery)
- Auto-provisioned agent runtime — nothing to install on the server
- Multi-user auth, RBAC, OIDC
- Audit logging, push notifications

What's enterprise (coming):
- Human-in-the-loop command interception
- Autonomous discovery / CMDB population
- SIEM connectors
- HA clustering

I'm not trying to get rich. I'm trying to build something real that supports my family. If this solves a problem for
you — or if you have feedback — I genuinely want to hear it.
by vlovich123 | 2026-03-14 01:56:46+00:00
Nope, there’s no tricks unless there’s been major architectural shifts I missed. The rot doesn’t come from inference tricks to try to bring down quadratic complexity of the KV cache. Task performance problems are generally a training problem - the longer and larger the data set, the fewer examples you have to train on it. So how do you train the model to behave well - that’s where the tricks are. I believe most of it relies on synthetically generated data if I’m not mistaken, which explains the rot.
by ComputerGuru | 2026-03-14 01:57:56+00:00
Open source is the only way to go.

Out-of-the-box, most Linux distributions automatically report the battery status on my (admittedly ancient) Performance MX and I get a desktop notification when the battery is running low so I can run and swap the rechargeables, but I've found no way to do that on Windows (even with Logitech software).
by hedora | 2026-03-14 01:58:13+00:00
The California bay area, at least all the sides of it I’ve lived on. We currently have a whole house battery, whole house surge protector, a second surge protector, and a UPS between the router/nas/etc and PG&E.

It’s not good enough. At least the power stays on once the grid stops bouncing (or once I manage to log into the rebooting battery gateway computer to have it flip the “off grid” breaker, or go outside and flip the manual one by the meter).
by ternus | 2026-03-14 01:58:54+00:00
Further to what's listed elsewhere:

A RAM chip takes several months to make, starting from an empty silicon wafer. Each chip takes 8-10 weeks to go through the process of lithography, deposition, etching, cleaning, etc. It then must be tested, which can take another couple of weeks, then packaged, before it can be sold to manufacturers. Thus, even if fab capacity were available today (it isn't), you'd still see a multi-month lag before new supply hit the market.

(This is an extraordinarily sensitive process, and disrupting it can cause you to lose the entire batch. You might have heard of cases where "wafer starts" had to be discarded due to a tsunami or power disruption - this is why.)
by maskull | 2026-03-14 01:59:49+00:00
After running a context window up high, probably near 70% on opus 4.6 High and watching it take 20% bites out of my 5hr quota per prompt I've been experimenting with dumping context after completing a task. Seems to be working ok. I wonder if I was running into the long context premium. Would that apply to Pro subs or is just relevant to api pricing?
by nine_k | 2026-03-14 02:01:33+00:00
Helium has the second highest [1] specific heat capacity (after hydrogen); it's significantly higher than that of even water. It's damn efficient at cooling or heating. With that, it's chemically inert, unlike hydrogen or ammonia. There's no reasonable substitute.

[1]: https://en.wikipedia.org/wiki/Table_of_specific_heat_capacit... (Sort by the third column.)
by yunnpp | 2026-03-14 02:02:41+00:00
This is really not the right comparison to make. An OS will use memory liberally. Give it more and it'll use more. Give it less and it'll swap to disk. So the real question is how long a given workload takes to complete, or whether you can multi-task without shitting out to/from disk every time you switch windows. "My OS uses X amount of RAM" is an entirely meaningless and irrelevant statement.
by jasomill | 2026-03-14 02:02:41+00:00
The most important thing in my view is that both parties are aware of their rights and responsibilities. If the plain text of the warranty agreement specifies replacement, replacement should be required. If the business doesn't want to assume the risk, that's fine, but the warranty should then clearly and explicitly stipulate replacement or refund at the retailer's discretion, in such a way that an average consumer would be expected to see and understand this (i.e., no "replacement" in large, friendly letters and "or refund" buried in fine print or legalese, or leaving out specific details to be filled in by default provisions when such provisions favor the retailer).
by rahimnathwani | 2026-03-14 02:02:53+00:00
This site presents models in an incomplete and misleading way.

When I visit the site with an Apple M1 Max with 32GB RAM, the first model that's listed is Llama 3.1 8B, which is listed as needing 4.1GB RAM.

But the weights for Llama 3.1 8B are over 16GB. You can see that here in the official HF repo: https://huggingface.co/meta-llama/Llama-3.1-8B/tree/main

The model this site calls 'Llama 3.1 8B' is actually a 4-bit quantized version (
Q4_K_M) available on ollama.com/library: https://ollama.com/library/llama3.1:8b

If you're going to recommend a model to someone based on their hardware, you have to recommend not only a specific model, but a specific version of that model (either the original, or some specific quantized version).

This matters because different quantized versions of the model will have different RAM requirements and different performance characteristics.

Another thing I don't like is that the model names are sometimes misleading. For example, there's a model with the name 'DeepSeek R1 1.5B'. There's only one architecture for DeepSeek R1, and it has 671B parameters. The model they call 'DeepSeek R1 1.5B' does not use that architecture. It's a qwen2 1.5B model that's been finetuned on DeepSeek R1's outputs. (And it's a Q4_K_M quantized version.)
by KennyBlanken | 2026-03-14 02:02:59+00:00
So you deeply admire a man who threw a temper-tantrum when his giant box designed by a bunch of people with no experience in anything underwater or rescue, much less underwater rescue - and was deemed unusable to rescue people from an underwater cave with passages so small divers had to remove their gear and push it ahead of them? And repeatedly, directly, said the lead rescuer was a pedophile?

You deeply admire a man so unable to restrain his ego and temper that much of his production team at Tesla quit, some right to his face, because they couldn't meet his nearly impossible goal of extreme levels of automation on the Model 3 production line? Which, if all else is ignored, cost Tesla billions in delays because of his demands?

You deeply admire a many who is vehemently racist and misogynistic?

You deeply admire a man who latches onto just about any conspiracy theory?

You deeply admire a man who is so desperate for attention he unblocks himself from Twitter users' accounts?

You deeply admire a man whose companies were under investigation by nearly every federal enforcement agency there is?

You deeply admire a man who has failed to meet the vast majority of his own publicly stated benchmarks?

And who engages in PT Barnum levels of bullshit, like having "AI robots" that are actually just robots piloted by unemployed actors?

The man is a pathological liar who has failed upward not because of some sort of unique talent or skill, but because he's extremely abusive and willing to break any regulation or law he sees as inconvenient.
by hedora | 2026-03-14 02:03:33+00:00
In related news, diesel is $7/gallon, and peets coffee is $25/lb, and computers (hardware and cloud) are up 25-50%.

The official numbers claim 3% inflation. Does anyone actually believe that? We were seeing 30% YoY before Iran here in California.

The discrepancy is so large, I’m wondering if there’s an official explanation or some reasonable explanation, or if they’re just not bothering anymore.
by beeflet | 2026-03-14 02:05:18+00:00
The problem is that reality is not left leaning. It is merely that the people who work in academia, wikipedia, newspapers, and even dictionaries are left leaning. In short, it's lefty wordcels that have an outsized influence on the corpus of LLMs.

Wikipedia is supposed to document the mainstream media. If you take a look at any controversial or even vaguely political talk page, you will realize the rules are conveniently designed so that you cannot cite any right-wing source or independent research, thanks to the bureaucracy of unpaid leftist wikipedia jannies.
by aragonite | 2026-03-14 02:05:56+00:00
Do long sessions also burn through token budgets much faster?

If the chat client is resending the whole conversation each turn, then once you're deep into a session every request already includes tens of thousands of tokens of prior context. So a message at 70k tokens into a conversation is much "heavier" than one at 2k (at least in terms of input tokens). Yes?
by AuryGlenz | 2026-03-14 02:05:57+00:00
I'm sorry, but that sort of thinking just doesn't pass the smell test.

We can easily identify the geographic locations of people's ancestors by looking at them. That means that we evolved quite a few exterior physical traits that are easily grouped and identifiable. Do you really think our brain, which is our most important survival trait, was immune to evolution? That people that moved to specific regions didn't have had selective pressures of some kind on the way we think?

Where this can go awry are the people that learn about this and then think that it's reason to discriminate against individuals or groups - of course it isn't. As you said, genetic diversity within groups is large. And even something like IQ certainly doesn't sum up the worth of someone, or even their brain.

The whole point of what I posted though was just to point out the fact that Wikipedia is, in fact, biased in what's put on there. It wasn't that long ago that it was perfectly OK as an academic to study the racial differences in IQ. Now? Good luck. Wikipedia reflects that.
by Lama9901 | 2026-03-14 02:05:59+00:00
Heavily AI-assisted, not AI-generated.

Claude + Cursor wrote the structure. I fixed hundreds of
errors — wrong tests, broken pipelines, docs that didn't
match the code. That's literally why the verification
layer exists. AI gets it wrong constantly.

This comment — also Claude, on my direction. That's the
point. Tool, not author.

Clone it and run it. If it doesn't work, tell me.
by tptacek | 2026-03-14 02:06:37+00:00
I have no idea what Musk did or didn't say. I don't pay attention to him; I think he's odious. But he did cut more than half the entire workforce and the service works as well as it ever has, which is pretty damning. I'm not willing tie myself into the pretzel required to explain how antebellum Twitter was well-managed given that.

There's some fraction of that workforce that supported projects intended to make Twitter a viable standalone business, which it probably no longer is. Backoffice / line of business projects intended to support advertisers, that sort of thing. But I don't think you can explain a RIF of Twitter's scale that way.

(I'll try to dig up the Luu post I'm thinking of.)
by dangus | 2026-03-14 02:06:40+00:00
In case you need it, this is the next model up with the 350 processor. If you care about graphics performance it has double the cores, and the bigger SSD as I mentioned:

https://www.bestbuy.com/product/lenovo-yoga-7-2-in-1-copilot...

Review: https://youtube.com/watch?v=3ZTe5kUYt9k
by burnt-resistor | 2026-03-14 02:07:26+00:00
"Nuke areas" like Saddam "WMDs" MacGuffins. People believe anything if the mainstream repeats the establishment propaganda enough.

The surrounding inland is dug-in, rugged high ground.

This will be the Bay of Piglets. They have zero chance to accomplish anything except certain death.

It's a setup excuse for either Netanyahu or Trump to nuke Tehran or Bandar Abbas. They will double down out of ego. Millions will die.
by econ | 2026-03-14 02:07:40+00:00
We lack much vocabulary in this new situation. Not that I have words for it but to paint the picture: if I hang out with people sharing some quality I tend to assume it's there in others and treat them as such. LLMs might not be people, I doubt our subconscious knows the difference.

There is this ancient story where man was created to mine gold in SA. There was some disagreement whether or not to delete the creatures afterwards. The jury is still out on what the point is.

Consulting our feelings seems good, the feelings were trained on millions of years worth of interactions. Non of them were this tho.

What would be the point for you of uhh robotmancipation?

Edit: for me it would get complicated if it starts screaming and begging not to be deleted. Which I know makes no sense.
by yunnpp | 2026-03-14 02:08:09+00:00
UMAs aren't made for speed, but for power savings. You are ignoring the fact that a discrete GPU accesses VRAM and caches at much higher bandwidths (and power) than an iGPU does RAM. Shared mem also comes at the cost of keeping it coherent between CPU/GPU. So you can't just look at one part of the system and then claim that UMAs must be faster because there are no data transfers.

And by the way, even on UMAs, the iGPU can still have a dedicated segment of memory not readable by the CPU. Therefore UMA does not imply there won't be data transfers.
by mikodin | 2026-03-14 02:08:24+00:00
I am doing something very similar to this. I think the workspace _being_ the memory is the way. It's also enabled the workspace to be completely model and harness agnostic.

On top of that, I actually have it as an Obsidian vault, and I have the llm themselves use Obsidian markdown for the frontmatter and knowledge graph linking. It makes it very easy for me to navigate the data and interact in a way that is deeply enjoyable, and it also helps the model navigate the files.
by furyofantares | 2026-03-14 02:08:39+00:00
I'd been on Codex for a while and with Codex 5.2 I:

1) No longer found the dumb zone

2) No longer feared compaction

Switching to Opus for stupid political reasons, I still have not had the dumb zone - but I'm back to disliking compaction events and so the smaller context window it has, has really hurt.

I hope they copy OpenAI's compaction magic soon, but I am also very excited to try the longer context window.
by jgord | 2026-03-14 02:09:30+00:00
Did Meta spend around 60Mn lobbying for age verification to be forcibly added to every OS install ?

If not, who has been paying to lobby for these age verification laws ?

That seems a question that we should have an answer to.

Forcing an age check upon linux install seems anti-competitive, and a violation of freedom of speech allowed by the Constitution.

Also impractical and ineffective, unless they plan on some sort of bio-metric confirmation of age.

Will they outlaw computation itself, or constrain a personal quota so that only corporations can access approved LLMs and certainly not run a local AGI ?

As with the insane "encryption is a weapon and cant be exported" policy of the 80s, this will surely force innovation to migrate outside the US.
by tptacek | 2026-03-14 02:09:43+00:00
What? No you can't.

And: it remains perfectly OK to study racial differences in IQ. It's an actively studied topic. In fact, it's studied by at least three major scientific fields (quantitative psychology, behavioral genetics, and molecular genetics). The idea that you can't is a cringe online racist canard borne out of the fact that the studies aren't coming out the way they want them to.
by bfeynman | 2026-03-14 02:10:18+00:00
I think I've lost count of how many of these start ups I've seen. But what I really cant fathom is that pricing which is completely out of band. You can already talk to files directly with gemini, just wrapping other apis etc makes no sense. This is even stuff now you can easily codegen entire solutions for esp object storage based ones. Don't see actual any value add or differentiators here. It's obviously not that secure, and ingestion pipeline/connectors are also commodity.
by hedora | 2026-03-14 02:11:29+00:00
It’s going to be 90-100F in California next week.

Not sure how that impacts fertilizer demand, but it certainly screws up planting season.

The ground will be dry in a week or two, and they’re predicting the worst spring snowpack on record (after the wettest Christmas in Southern California on record).

Maybe someone else can use the fertilizer?
by AuryGlenz | 2026-03-14 02:11:38+00:00
I asked ChatGPT on whether or not it was the "scientific consensus."

"Anonymous surveys of intelligence experts reveal division: a 2016 survey found that about 49% attributed 50% or more of the Black-White gap to genetics, while over 80% attributed at least 20%; an earlier 1980s survey showed similar splits. These views are more common in private or anonymous contexts, contrasting with public statements from bodies like the APA that find no support for genetic explanations."

Hm, sure seems like Wikipedia should probably have a more balanced, nuanced discussion considering the experts are split at least 50/50.
by dathery | 2026-03-14 02:16:08+00:00
That's correct. Input caching helps, but even then at e.g. 800k tokens with all of them cached, the API price is $0.50 * 0.8 = $0.40 per request, which adds up really fast. A "request" can be e.g. a single tool call response, so you can easily end up making many $0.40 requests per minute.
by brendoelfrendo | 2026-03-14 02:17:47+00:00
I can't find one at the moment, but I recall seeing several interviews where people claim that SpaceX is structured with "handlers" or "stage managers" to keep Elon away from where the real work was being done. SpaceX has had Elon the longest, since the beginning, so they're just the most experienced with it. Though, now that people have discussed that publicly, I wonder if Elon ever caught on...
by luzejian | 2026-03-14 02:18:25+00:00
The interesting meta-pattern here is how often the tooling around a problem lags the problem itself by 5-10 years. The operational complexity exists, the pain is real, but because it's distributed across many small actors rather than concentrated in a few large ones, the market for structured solutions is slower to develop. That's usually a signal rather than a dead end — it means the first tool that actually fits the workflow has real leverage.
by equinumerous | 2026-03-14 02:19:03+00:00
That was an amazing talk, thanks for sharing! I could see the writing on the wall as soon as I saw the bucket names were predictable. Bucket squatting + public buckets + time of check/time of use in the CloudFormation service = deploying resources in any AWS account with enough persistence. I'm surprised this existed in AWS for so long without being flagged by AWS Security.
by hedora | 2026-03-14 02:19:14+00:00
There was a lot written about this in the 1990s during the rise of globalization and just in time supply chains.

Basically, you build a big warehouse and keep it full when prices are below projection.

This is equivalent to investing capital at a negative interest rate, so it’s not done anymore. Instead, the system is designed to pass supply shocks on to the consumer when possible.

I’ve noticed the local grocery stores have started replacing shelf price tags with little computers so they can reprice food in real time. (And hire fewer stock people),

Anyway, the keyword you want is “just in time supply chain”.
by jerbearito | 2026-03-14 02:21:11+00:00
I've wanted to try Miniflux for a long time, so a few weeks ago I set it up on a headless debian box I have running for some homelab services. That's part of my Tailscale network, so I was able to immediately start testing on desktop, phone, etc. It's great!

I might take a stab at customizing the UI a bit. I like that it's opinionated but pretty bare-bones visually out of the box.
by array_key_first | 2026-03-14 02:21:13+00:00
Protesting, voting, and civil disobedience.

At the end of the day, this stuff is headed by humans. Humans are fragile, weak even. They like silly things like food and safety.

Look, I'm not saying we need to be killing people. However, I AM saying that just about every single significant rights progression in human history was achieved that way. So, draw whatever conclusions you want.

Ideally, we are above that. Christ, it's not the 20th century anymore. So hold up a sign or something.
by maurycyz | 2026-03-14 02:22:21+00:00
The raw materials are cheap: It's mostly just quartz, which is the most abundant mineral on earth.

The problem is actually making chips. The machines use to make modern integrated circuits are some of the most precise equipment in the world, manufacturing structures just tens of atoms across.

Getting more factories online might take close to a decade, and that's if anyone wants to pay: The current demand showed up basically overnight as some of the companies (running of investor money with no way to make profit) started a bidding war. Betting billions of dollars on them still being around in 5-10 years is just not a wise decision.
by Knork-and-Fife | 2026-03-14 02:22:30+00:00
They also have to know where to look.

The big claim in general appears to be that the signal is not obvious because it averages out to normal background radiation noise. The article doesn't communicate this well though.

The bit that you quoted, I think that's just a random sentence that looks dumb out of context. I don't think it means anything special.