MurphyA/hacker-news huggingface dataset:
by LargoLasskhyfv | 2026-03-08 15:30:11+00:00
No. Just 13kg, IIRC. Though I once sped through this curve https://osm.org/go/0GJEvDJAo?m= , on my backwheel only (In a wheelie so to speak), at about 40 to 60kph, having accelerated with a scream of rage on the parking space there. Burning rubber. Almost ran over a female teacher of mine, after that curve. Still wheelieing up, cursing "Shit! Shit! Outta my way! Shit! Sorry!" fast, trying to bring the front wheel down by leaning hard into the handlebar, all in a blur. Still burning rubber. Didn't really work until the next crossing, which I also took with the frontwheel up in the air, but not so high anymore. I still don't get how exactly I did that. Because I havn't done that before. Just feeling impossible rage, and having the urge to get away from there ASAP, or else...

I'm just remembering six fast jerking motions, bringing me around that curve on the backwheel only. Instinct, guardian angel, who knows?

Rage was expensive. Backtire slick, internal wire netting visible all along. 30 Deutsche Marks gone :-(

OTOH I had unforgettable sex with that (sports)teacher(a very good and early triathlete) a few hours later :-)

Edit: I didn't even notice the burning rubber. I've just been shown my visible skidmarks on the tarmac, and they still stank.

I've been assured that they literally did burn in parts, with tiny blueish flame. But not for long, 2 minutes at most.

Looking at my backwheel...slick to the netting. Meh!
Show HN: AlertMole – I stopped checking the internet, it now checks for me
by carlesonielfa | 2026-03-08 15:30:12+00:00
I built this for myself after cutting back on social media and realizing I was still opening tabs to check on things I actually cared about. Cutting back on the constant checking meant missing out, until I built something to check for me.

I tested other tools and the problem with Google Alerts is you still end up checking and dismissing. The problem with Perplexity/ChatGPT tasks is they always send output, even when nothing changed. I wanted something that stays completely silent unless a specific condition is actually met.

AlertMole runs an AI agent on a schedule. Each run updates a running summary of what it's found, citing sources and returning relevant URLs, but ONLY notifies you when your specific condition is actually triggered. No noise, just the signal.

I've been using it daily for about 2 months. Took me a while to share it, partly still polishing, partly the usual founder shyness about putting something out there. Some alerts I personally run:

- Check every Sunday if any Switch 2 emulator has been released or made meaningful progress
- Notify me when Gemini 3.0 Pro or Flash reach GA or a GA date is announced
- Notify me when vLLM supports beam sampling for its async OpenAI server
- Notify me when the Steam Frame has its release date or price announced, check everywhere except reddit
- Alert me if Denzel Curry announces a tour date or live performance in Spain, check every three days

At signup you get 250 free credits (each alert run costs 10), enough to run weekly alerts for months. Public alerts created by other users can be tracked for free with no credits.

Notification channels include email, web push, in-app, Telegram, and webhook, which is something Perplexity Tasks and ChatGPT scheduled tasks don't offer.

Happy to answer questions about how it works or the stack, also open to any feedback if you end up giving it a try!
by andai | 2026-03-08 15:30:54+00:00
>if tested via the codex cli "harness" it wouldn't be a pure model-to-model comparison any more.

Well that's already not a very fair comparison, we've known for years (one of the early-ish LLM papers, maybe someone knows which one) that prompting makes an enormous difference on agent performance, and most strikingly, the same prompt that massively boosts performance on one model, can massively reduce performance on another.

So you already need to fine-tune the prompts for the model, if you want anything approaching best results.

Now what's really amusing is that if you run models without their official harness, they can actually do way better on some benchmarks! [0] e.g. On Terminal Bench 2, Claude Opus 4.6 goes from #33 (Claude Code) to #5 (custom harness). Similar results for Codex.

Now, this is "for this one very specific benchmark", but I still thought it was funny, since you'd expect "the harness made by the same company" to be the best for all tasks, but that's clearly not the case. (For specific tasks, it's actually quite trivial to outperform a general purpose harness.)

[0] https://www.tbench.ai/leaderboard/terminal-bench/2.0
by altairprime | 2026-03-08 15:31:32+00:00
288-pin ECC is, I believe, available on any X670E/X870E platform boards so long as the motherboard builder hasn’t expressly interfered with it (and probably other chipsets as well?). Windows 10+ reports it as full ECC (multi-bit / 72-bits). AMD pushed that enable in an AGESA three or four years ago iirc. The CAS latency for ECC is about double what gaming RAM offers, but in practice other more costly factors tend to limit performance first. Any motherboard released before the AGESA update would be more difficult to predict, but that’s baseline uncertainty for PCs so no surprises there.
by mschuster91 | 2026-03-08 15:32:00+00:00
That's BS. Linux/OtherOS on the PS3 only existed so that Sony could evade European tariffs on pure gaming consoles that were markedly higher than on general-purpose computers. Once the tariffs went, so went OtherOS support.

In any case OtherOS didn't have access to the full system resources and, on top of that, Sony actually lost money on PS3s because it was priced as a loss-leader, with game purchases being supposed to earn the actual money.
by Rohansi | 2026-03-08 15:32:13+00:00
Shared memory between CPU and GPU isn't exclusive to consoles. All (?) integrated GPUs do it. Mobile devices, PCs, Apple Silicon, it's all the same.

The only big difference is consoles have the CPU using GDDR memory (what dedicated GPUs use) instead of typical DDR. You're not going to need to code anything differently for that but it will have different performance characteristics.
by apelapan | 2026-03-08 15:32:39+00:00
What's the point of a three year window? It seems like a weird middle-point. Either you are in a position to choose/install your own interpreter and libraries or you are not.

If you can choose your own versions and care at all about new releases, you can track latest and greatest with at the very most a few months of lag. Six months of "support" is luxurious in this scenario.

If you can't choose your own versions, you are most likely stuck on some sort of LTS Linux and will need to make do with what they provide. In that case three years is a cruel joke, because almost everything will be more than three years old when it is first deployed in your environment.
by Filligree | 2026-03-08 15:32:56+00:00
> Can't we have a system that is optimized for the notes that are actually played in a song rather than the hypothetical set? And what if the optimization is done per note rather than over an entire song?

You can. It’s called adaptive tuning, or dynamic just intonation, and it happens naturally for singers with no accompanying instruments.

It’s impractical on a real instrument, but there’s a commercial synthesiser implementation called hermode tuning.

You’re trading one problem for another, though. No matter how you do this, you will either have occasional mis-tuning or else your notes will drift.
by lmeyerov | 2026-03-08 15:33:06+00:00
The phenomena you're describing is why Cobol programmers still exist, and simultaneously, why it's increasingly irrelevant to most programmers

The killer feature is ecosystem: Easily and reliably reusing other libraries and tools that work out-of-the-box with other Python code written in the last few years . There are individually neato features motivating the efforts involved in upgrading a widely-used language & engine as well, but that kind of thinking misses the forest for the trees unfortunately.

It's a bit surprising to me, in the age of AI coding, for this to be a problem. Most features seem friendly to bootstrapping with automation (ex: f-strings that support ' not just "), and it's interesting if any don't fall in that camp. The main discussion seems to still be framed by the 2024 comments, before Claude Code etc became widespread: https://github.com/orgs/pypy/discussions/5145 .
by ganoushoreilly | 2026-03-08 15:33:18+00:00
We must be twins, i've got the same three working in a cluster.

I was really excited to see where the GB300 Desktops end up, with 768gb ram but now that data is leaking / popping up (dell appears to only be 496gb), we may be in the 60-100k range and that's well out of my comfort zone.

If Apple came out with a 768gb Studio at 15k i'd bite in a heart beat.

https://www.dell.com/en-us/lp/dell-pro-max-nvidia-ai-dev
by yndoendo | 2026-03-08 15:33:45+00:00
I would say it is more than than.

Configuration files are the greater than a central repository like Windows Registry. They allow temporary changing and ease of sharing how an application operates. They also create a well defend meaning of the settings.

This is why I do not like how Windows has been implemented, they treat files like a 3rd class citizen versus a 1st class.
by toss1 | 2026-03-08 15:33:53+00:00
That same method is the SEC (Securities Exchange Commission) and is it widely regarded as simultaneously ineffective and heavy-handedly overreaching.

It is an inherently hard problem to identify insider trading when trading securities, or in this case, bets/contracts, doesn't have participant identification and transparency problems

The same solution would be best for both — everyone can trade freely with the sole caveat that all ultimately beneficial owners are fully identified and the trades are transparently published in real-time.

Braying about "free market" when in the actual market players can hide their identities and covertly manipulate it, while having an underfunded agency supposedly tracking them down after the fact, is just a farce.

A solution structured so it naturally and dynamically self-corrects is far better than an enforcement bolted-on after the fact. And yes, there would still be enforcement of requiring transparency to enforce proper identification.
by petterroea | 2026-03-08 15:34:05+00:00
There have been used car scandals in Japan as well! Look up Bigmotor. But this is probably an outlier.

Mostly it is a high trust society and it makes things a _lot easier_. It feels so good to let down my guard. Of course, there are tonnes of people that want things from you (anyone who has lived here will tell you about the mt. fuji cult), the general "if things are too good to be true they are" rule still works well here. But trusting that things work just hits different.
by em-bee | 2026-03-08 15:34:28+00:00
the amount of extra effort required to constantly be observing the baby [...] makes [...] caring for a baby just more difficult

you learn a lot more about your baby than just elimination cues by observing it. i'd argue that that effort is not difficult at all and has a lot of other benefits. see attachment parenting.

you are right about "you must do it this way or else" producing unnecessary stress though.
by Agentindex | 2026-03-08 15:34:33+00:00
I built ZARQ because AI agents are starting to make autonomous crypto decisions, but they have no risk framework.

ZARQ provides Trust Score ratings (Aaa-D) like Moody's for 205 crypto tokens, plus crash probability and structural collapse detection. Out-of-sample: 113/113 token deaths caught, 98% precision.

Free API, no auth: curl https://zarq.ai/v1/check/bitcoin

Also available as MCP server (11 tools), LangChain wrapper (pip install zarq-langchain), and ElizaOS plugin (npm install @zarq/elizaos-plugin).

Track record is SHA-256 hash-chained from day 1: https://github.com/kbanilsson-pixel/track-record

Happy to answer questions about the methodology.
I replaced my freelance SaaS stack with 5 single-file HTML tools
by AnnSri | 2026-03-08 15:35:07+00:00
I noticed that as a freelancer I was paying several SaaS subscriptions just to handle simple tasks like invoices, proposals, contracts, and project tracking.

None of those workflows seemed complex enough to justify full SaaS platforms, so I started experimenting with local-first tools instead.

I ended up building five standalone HTML apps that run directly in the browser. No frameworks, no installation, and no accounts. Just open the file and use it.

The tools cover invoices, proposals, contracts, expenses, and project roadmaps. Everything runs locally and data stays on the machine.

Curious what others here think about local-first tools for this kind of workflow
by everforward | 2026-03-08 15:35:16+00:00
I’m not an expert but I started with smaller tasks to get a feel for how to phrase things, what I need to include. It’s more manageable to manually fix things it screwed up than giving it full reign.

You may want to look at the AGENTS.md file too so you can include your stock style things if it’s repeatedly screwing up in the same way.
by penr0se | 2026-03-08 15:35:49+00:00
The higher the variety of notes (out of the overall 12 sounds in an octave) in the song, the less this becomes possible.

If your song is really simple, e.g. only consists of the 3 notes that make up a major triad (root, third, fifth), then this is definitely possible and you can just use natural thirds and natural fifths.

But as you start adding more notes, more chords and perhaps change of keys etc, it starts to break down.

That's the reason why J. S. Bach wrote The Well-Tempered Clavier.
It's a collection of 24 preludes and fugues, in each possible major and minor key.

The basic idea was that if every prelude and fugue sounded good on an instrument (organ, harpsichord etc.), than it meant that the instrument was "well-tempered".

Using natural tuning instead of 12-TET would have resulted in some pieces sounding very good and other sounding very bad.
Show HN: Tmux-manager – TUI for managing tmux sessions across remote servers
by charlie0077 | 2026-03-08 15:36:01+00:00
I built a terminal UI for people who SSH into multiple servers and constantly juggle tmux sessions.

The workflow I kept doing manually: SSH into a box, tmux ls, attach or create a session, detach, repeat for the next server. With 5+ servers it gets tedious.

tmux-manager puts all your servers in a table, shows live session counts, and lets you attach/create/kill sessions without leaving your terminal. Ctrl-q detaches and drops you back to
the TUI.

What it does:
- Browse servers and their tmux session counts in one view
- Drill into a server to view, attach, create, or kill sessions
- Add/remove servers from inside the TUI (saved to YAML)
- Filter by server name
- Local tmux supported out of the box
- Remembers your last selected server/session

Built with Go + Bubbletea.

Install:
curl -fsSL https://raw.githubusercontent.com/charlie0077/tmux-manager/main/install.sh | sh

Repo: https://github.com/charlie0077/tmux-manager

Would love feedback — especially from people managing large fleets of servers.
Show HN: Atombot – tiny personal assistant for local models and GPT‑5.4
by gwangee | 2026-03-08 15:36:58+00:00
Atombot(repo: https://github.com/daegwang/atombot) is a tiny self-hosted personal AI assistant I built because I wanted something I could understand and extend end-to-end.

Core functionality is ~500 lines (vs ~400k in OpenClaw). It includes:
- Persistent memory with searchable daily history logs
- Telegram gateway (allowlist-based access
- One-time + recurring reminders
- Skills system (OpenClaw SKILL.md compatible)
- Provider-first onboarding that auto-detects Ollama / LM Studio / Codex

Atombot also supports GPT‑5.4 via Codex CLI, so you can select easily during onboarding.

Feedback welcome. Stars appreciated!
by coherentpony | 2026-03-08 15:37:05+00:00
It doesn’t work per-song. Songs have multiple chords, some even with alterations. If you tune an E so that it is perfectly a major third above C, then that E won’t be a perfect fifth above an A note. The Am chord has the notes A, C and E, so Am has notes that all belong to C major.

Additionally, some songs even change keys, which makes “per-song” not enough of a constraint.
by braincat31415 | 2026-03-08 15:37:22+00:00
Hehehe. Nice try. All I am saying this is not our fight. If you really think it is, don't be a coward and join in, instead of having Ukrainians die for you.

Thank you for proving what I said at the very beginning of this conversation. Say something that makes perfect sense, democrats like you would label a Putin shill. Say someting against Trump's policy, get labeled a libtard. Both get us into moronic wars.

No wonder I no longer bother going to the polls. Take care.
by climike | 2026-03-08 15:38:18+00:00
We are working on supporting agent harnesses @ www.cliwatch.com, so both 1. LLM model as well 2. LLM model + harness performance can be evaluated against your software/CLI. We also support building evals against your doc suite. End result is that you’ll feel more comfortable shipping CLIs that work for your agentic users!:)
by simonw | 2026-03-08 15:38:35+00:00
I didn't say that I thought they would likely extend it, but I stand by my statement that it's a possibility.

Neither company have expressed that the six month thing is a hard limit.

The fact that OpenAI shipped their version within two weeks of Anthropic's announcement suggests to me that they're competing with each other for credibility with the open source community.

(Obviously if you make decisions based on the assumption that the program will be expanded later you're not acting rationally.)
Twitter's New Grok Algorithm Rewrites the Growth Playbook
by jackcofounder | 2026-03-08 15:38:40+00:00
In January 2026, X replaced its legacy ranking system with a Grok-powered transformer model that actually reads your tweets.

Key changes:
- 5B ranking decisions daily, processed in <1.5s
- The algorithm now READS tweet text using transformer embeddings (not just keyword matching)
- It WATCHES videos to understand content
- Distribution is determined before any engagement happens

The engagement hierarchy (weight vs. a Like):
- Like: 1x
- Bookmark: 10x
- Reply: 27x
- Quote tweet: 25x
- Retweet: 20x
- *Reply that gets a reply from author: 150x*

The big shift: Twitter moved from "counting actions" to "comprehending content." Semantic relevance now trumps follower count.

For indie hackers, this means:
1. Niche content can go viral without an existing audience
2. First 30-60 minutes are critical (velocity matters)
3. Conversations > broadcasting
4. Manual growth is unsustainable given velocity requirements

Thoughts? Anyone else tracking these algorithm changes and their implications for bootstrapped SaaS marketing?
by Twirrim | 2026-03-08 15:38:54+00:00
I'm getting about 15-20 tok/s with a 128k context window using the Q3_K_S version.

For running the server:

$ ./llama.cpp/build/bin/llama-server --host 0.0.0.0 \
--port 8001 \
-hf unsloth/Qwen3.5-35B-A3B-GGUF:Q3_K_S \
--ctx-size 131072 \
--temp 0.6 \
--top-p 0.95 \
--top-k 20 \
--min-p 0.00
Show HN: LLMTor – Access Public LLMs anonymously using blind signatures and Tor
by codemastercpp | 2026-03-08 15:39:59+00:00
Hi HN!

I’ve built LLMTor, a software that allows you to access public LLMs like ChatGPT such that even the server operator cannot tell which prompt was sent by which user.

I was motivated by an old sam altman interview (https://x.com/rohanpaul_ai/status/1949502746492535282), where he mentioned that LLM providers are required to break user privacy if needed (and this can probably be done for selling ads as well).

Local LLMs are the gold standard for privacy, but you lose access to frontier models, and get overhead of self hosting.
But if you use public LLMs like ChatGPT, they will always know the plaintext prompt and responses.

So I settled on a middle ground, where I break the link between the user identity and the prompt contents.

LLMTor sits as a proxy between users and upstream LLM providers. It uses blind RSA signatures (RFC 9474) to issue tokens that can later be redeemed for LLM access anonymously over Tor.

Here’s an interactive demo of the protocol: https://api.llmtor.com/demo
TL;DR:
1. User buys credits and obtains tokens signed via blind RSA (identity known to server)
2. The server cannot link the signed token back to the user (blind signature unlinkability)
3. User redeems token + prompt over Tor (identity unknown to server)

Links
Website: https://llmtor.com
GitHub: https://github.com/prince776/LLM-Tor
Whitepaper: https://llmtor.com/whitepaper.pdf

Would love feedback on the protocol, implementation, or anything else.
by karmelapple | 2026-03-08 15:40:16+00:00
It talks about a study from 1944 in the US, specifically in Minnesota. How many of those parents were full-time stay-at-home parents, probably typically mothers, who were monitoring the child and helping with potty training?

How many kids nowadays are in daycare?

When there is a 3-to-1 adult-to-child ratio, doing something like this is much more challenging when there's just one adult and one infant.
by lucknite | 2026-03-08 15:40:23+00:00
I've been doing a lot of testing around prompt injection and tool misuse in agent workflows recently.

One pattern that keeps showing up is that once agents start reading external content and calling tools, the security model changes quite a bit.

Traditional jailbreaks focus on overriding the system prompt. But in agent systems the bigger issue seems to be boundary confusion: untrusted content ends up influencing how tools are used.

Curious how others building agent systems are thinking about this.
by TurkTurkleton | 2026-03-08 15:40:50+00:00
> it has somehow become not just commmon, but accepted that a vendor can tell us and force us to use something in the way they want.

The PS5 is a games console and is marketed as such, not a general-purpose computer. Of course they want, and "force", you to use it to play PS5 games. I have a hard time seeing this as coercive when computers still exist, even if architecturally a PS5 is virtually identical to a general-purpose computer in most of the ways that matter, because at least since the Fairchild Channel F, it's always been the case that consoles are just constrained computers.

> Imagine, for instance, if you bought a flat head screwdriver, but the manufacturer told you that you could never, ever, under any circumstances use it to pry something open. It was stricly to be used for installing or removing screws.

> We would all laugh that vendor out of the room and tell them they're insane. Somehow we stopped doing that with all sorts of newer technologies.

Imagine, for instance, if that flat head screwdriver had a means to prevent you from using it to pry things open. Some kind of magical negative mass in the handle that kicks in to cancel out leverage but not torque, or an explosive charge that blows your hand off if more than a certain amount of force is applied non-rotationally, or something. It might seem a little less risible then, and you would probably just opt to buy a screwdriver that doesn't have such restrictions (especially if those restrictions were explosively enforced).

Like, I get it. I'm not entirely unsympathetic to the argument that we should be able to do whatever we want with hardware that we own. At the same time, being upset about the PS5 making it impossible to run arbitrary software without hacking feels a little like being upset that your washing machine doesn't clean your dirty dishes as well as it cleans your dirty laundry: it's not made for that, and it's not really reasonable to expect it to be able to do that well if at all.