MurphyA/hacker-news huggingface dataset:
by linsomniac | 2026-03-08 17:42:20+00:00
>Because all of my services share the same IP address, my password manager has trouble distinguishing which login to use for each one.

In Bitwarden they allow you to configure the matching algorithm, and switching from the default to "starts with" is what I do when I find that it is matching the wrong entries. So for this case just make sure that the URL for the service includes the port number and switch all items that are matching to "starts with". Though it does pop up a big scary "you probably didn't mean to do this" warning when you switch to "starts with"; would be nice to be able to turn that off.
by ibejoeb | 2026-03-08 17:42:34+00:00
It's also just one more facet. The problem already exists for anything else that we already have, like formatters, linters, syntax highlighters, language servers... And it's also not an exclusive choice. If you want to use a dumb editor, there's nothing preventing that. All of the machinery to go back and forth to text exists. Not really a huge departure.
by hapless | 2026-03-08 17:42:54+00:00
You don't have to actually do #3. What most companies do is just get a UL certification (to reassure consumers) and put the label "no user-serviceable parts inside" on the case (to meet UL mandates for safety)

That's more than enough to avoid civil liability for user stupidity

Locking shit down is something you do for other reasons entirely
by Joel_Mckay | 2026-03-08 17:43:41+00:00
LLM are not real "AI", but are good at some types of problems like context search, and isomorphic plagiarism.

Regulatory capture to manufacture a monopolistic position is what many are planning. As gambling with other peoples money still has few fiscal consequences (see 2008), but will hurt Americans when the bubble implodes.

Note more cheap energy for home users typically means higher standards of living, and the Westinghouse electric economic cycle from the 1950s is now broken. Data centers are consuming the community infrastructure equity, and it will cost voters sooner or later.

Individuals can't stop trends, but one may profit from the predictable nature of both the unscrupulous and hapless. "Bulls make money, bears make money, pigs get slaughtered" as they say on wall-street. =3

"Memoirs of extraordinary popular delusions and the madness of crowds" (Charles Mackay, 1852)

https://www.gutenberg.org/files/24518/24518-h/24518-h.htm

"A Day in the Life of an Ensh*ttificator "

https://www.youtube.com/watch?v=T4Upf_B9RLQ
by freetonik | 2026-03-08 17:43:56+00:00
The author uses Restic + Backblaze B2 storage. I was recently setting up backups for my homebase as well, and went with Restic + BorgBase [0]. Not affiliated, just wanted to share that I think they have a nice service with a straight-forward pricing model. They are the company behind excellent Pikapods [1], which may be interesting to the homelab crowd.

[0] https://www.borgbase.com

[1] https://www.pikapods.com
Show HN: I made Qwen3.5-4B 13% smarter by compressing it to 4-bit
by singularity_max | 2026-03-08 17:45:10+00:00
Hi HN,

Recently, there was a discussion here about Qwen3.5 fine-tuning where it was noted that QLoRA/4-bit quantization is "not recommended" due to severe accuracy degradation. I wanted to challenge this limitation.

I developed a mixed-precision hybrid model (*Qwen3.5-4B-Singularity-Max*) that uses ~6.4GB of VRAM but actually achieves a lower Perplexity (6.74) than the original FP16 baseline (7.79).

*How is this possible? (The Noise-Canceling Effect)*
Instead of uniform quantization, I applied a mathematical framework called the *Singularity Principle Index (SPI)*. By analyzing the power-law spectral decay (alpha) of weight matrices, the engine identified exactly 129 "critical cognitive layers" out of the entire architecture.

We kept these 129 layers (approx. 3.9GB) in crisp FP16 and aggressively quantized the rest (90%) to 4-bit NF4. The 4-bit quantization acted as a massive Regularization filter—stripping away overfitting artifacts (noise)—while the FP16 layers protected the core logic.

*The Results (Apples-to-Apples):*
* *Perplexity:* 7.79 (FP16) -> 8.13 (Pure 4-bit) -> *6.74 (SPI Hybrid, 13.4% Boost)*
* *VRAM:* ~16 GB -> *~6.4 GB* (Fits easily on consumer GPUs/Edge devices)
* *Inference Speed:* *9.85 tokens/sec* on a free Kaggle T4 (Zero dequantization overhead due to `SafeFP16Linear` physical isolation).

You don't need any calibration data. It's a zero-shot surgical weight refinement.

* Academic Foundation & Citation*
The theoretical framework governing the Spectral Compactness initialization and Trace-norm Regularization utilized in this model is fully detailed in our recent academic preprint:
* *Paper Title:* Spectral Compactness Ensures Robustness in Low-Precision Neural Networks
* *DOI:* 10.21203/rs.3.rs-8880704/v1 (https://doi.org/10.21203/rs.3.rs-8880704/v1)

(If you utilize this model or the Spectral-Compactness-Aware Mixed Precision methodology in your research or applications, please cite the paper above.)

*Resources:*
* *Model & 1-Click Inference Script:* https://huggingface.co/SingularityPrinciple/Qwen3.5-4B-Singu...

I’d love to hear your thoughts, especially from those working on On-Device/Edge AI deployment. Does this change the calculus for running local LLMs?
by oxag3n | 2026-03-08 17:45:23+00:00
> Which raises the question: why is it such a successful company commercially?

Tons of mediocre enterprise software is built on Oracle DB.

Why enterprises are vendor locked-in? There are very few large enterprise players in every industry that implement all kind of ISO, standards, got an army of business analysts to generate million of requirement pages. Any new player must fight against that artificially overblown legacy systems, design and prove migration process is possible etc.

Here are just a bunch of industries my family/friends worked in and had first hand experience with these legacy systems - Airline (PSS), Banking, Healthcare, Hotel, Telecom.
by nearbuy | 2026-03-08 17:45:26+00:00
It's probably not great for this. Resting heart rate is correlated with fitness, but candidates can be nervous during interviews which can drastically change their heart rate. You'd probably be able to make better guesses about their health through looking at them (do they look sickly or overweight?) and interviewing them.

It's also not a specific enough signal for the types of health conditions that require taking time off work. Assuming they could get an accurate resting heart rate, most of the time it'll just indicate whether the candidate does a lot of exercise.
by naomi_kynes | 2026-03-08 17:45:56+00:00
The interesting edge case with AI agents: the "operator" collapses into whoever owns the agent, and the log's job changes fundamentally.

When a regular app logs an error, it's a passive record — the operator investigates at leisure. When an agent logs "I'm about to delete these 47 files — is that right?", it's an active interrupt. The log becomes a decision request, not an event record. "Waiting for human approval" is a semantically different thing than "ERROR: something failed."

Most agent setups treat this badly — write to stderr, fire a webhook, hope the human checks Slack. There's no canonical "agent pausing for human input" primitive in most stacks. It's logging's open problem for the agentic era.
by aleph_minus_one | 2026-03-08 17:46:36+00:00
I disagree with the headline:

"Therefore, if a value-aligned, safety-conscious project comes close to building AGI before we do, we commit to stop competing with and start assisting this project."

I claim that currently there is no "value-aligned, safety-conscious project comes close to building AGI", both for the reasons

- "value-aligned, safety-conscious" and

- "close to building AGI".

So, based on this charter, OpenAI has no reason to surrender the race.
by anonyfox | 2026-03-08 17:46:51+00:00
not the poster, but I guess thats kinda american thinking that actually believes voting with your wallet will make any difference in this late stage crony capitalism in a post-facts world.

realistically: AI WILL get used in military and for killing autonomously, like it or not, believe it or not. I am also against that in principle but I do accept the fact my opinion just doesn't matter and practice radial acceptance or reality as-is. twitter/X is also alive and kicking, despite musk and anti-musk-hate. xAI/Grok is genuinely really good too compared to OAI/Claude, a bit different but very good. At this point all the "outcries" feel like noise I just skip on principle. But it could turn up the fire under the OAI team to go aggressive feature/pricing wise in order to retain/increase their userbase again, which is ... good, after all.
by ajross | 2026-03-08 17:46:58+00:00
> You need to explain, from a systems point of view _why_ the gains must diffuse out as you suggest.

Do we? I mean, isn't "because they always have" enough of an argument on its own?

I am hardly a libertarian ideologue nor AI-first LLM jockey. But I do think people tend to catastrophize too much. Blacksmiths were killed dead by the industrial revolution. "Secretary" is a forgotten art. It's been decades since an actuary actually calculated a sum on an actual table. And the apocalypse didn't arrive. All those jobs, and more, were backfilled by new stuff that was previously too expensive to contemplate. We're eating at more restaurants. We can find jobs as content creators and twitch streamers.

Life not only goes on after rapid technological change, it improves. That's not to say that every individual is going to appreciate it in the moment or that regulation and safety net work needs to happen at the margins. But, we'll all be fine.

AGImageddon is, at its core, just another economic phenomenon driven by technology. And that's basically always worked to society's benefit over the long term.
by bondarchuk | 2026-03-08 17:47:21+00:00
200k now, reasonably speaking a few million is within reach, which is reptile/fish range, the terrifying thing is though that if they train this to imitate humans (which they will) who knows how many orders of magnitude of efficiency gains you get (in terms of neurons needed for a certain level of consciousness) versus natural organisms that are dependent on natural evolution and need to support other bodily functions basically irrelevant to consciousness.
by WillAdams | 2026-03-08 17:47:28+00:00
For me, being able to open typical .doc files and re-save as .md w/ a reasonable approximation of formatting is _huge_, and I'm very appreciative of it (and I've long argued that an office suite which just offered only what .md can do would meet the needs of the vast majority of users _and_ keep them from making the sorts of abominable documents folks often complain about).
by Agentindex | 2026-03-08 17:47:49+00:00
Update: shipped two new features today —

1. KYA (Know Your Agent): due diligence for 4.9M AI agents. Trust score, compliance rating, risk level. zarq.ai/kya

2. The ZARQ Signal: live predictive risk feed for 205 tokens. 24 in structural collapse right now. zarq.ai/signal

Both free, no auth.
by andai | 2026-03-08 17:48:10+00:00
From what I recall, Microsoft has been deploying GPT in Gaza for years. So even if OpenAI said no, wouldn't the same thing end up happening via Microsoft?

(I understand that domestic and foreign deployment are separate issues — I'd personally object to both — but I'm not sure Microsoft has a reason to take a principled stand on either of those, and they have been working with intelligence for decades.)
by mikkupikku | 2026-03-08 17:48:18+00:00
I think what happens is corporate lawyers know their job is to make the boss happy and look good, so once in a while they have brainstorming sessions where they think of ways to use their toolset (knowledge and authority in legal matters) to accomplish that goal. And that usually takes the form of telling the boss he can screw customers or workers in some way, with a legal pretext as rhetorical cover, to save the company a nickel.

> Hey boss, as your attorney I think we should ban employees from ever leaning on things because what if one of them got a spinal injury from leaning too much? We could be liable for permitting leaning when they could be cleaning.
by CamperBob2 | 2026-03-08 17:49:54+00:00
Bluesky had the benefit of marketing

The marketing people are the ones who tell you to not use terms like "federation," "instances," or "tooting" when designing a social networking product.

They're the ones who tell you not to force dark mode down everyone's throats by default, when usability studies going back to the 1980s say that's a bad idea.

The marketing people are sometimes wrong. But on the whole, not usually.
by sigmoid10 | 2026-03-08 17:49:58+00:00
Chatbot Arena is notoriously unreliable for several reasons. First it's (at least in theory) based on normal human feedback. Given by normal people's current voting trends, they clearly are not very good at identifying experts or at least remotely correct statements. Second, the leaderboards are gamed hard by the big companies. Even ARC AGI entered the actively gamed stage by now. Sure the current gen models are certainly better than the last and if two are vastly different in leaderboards there may be something fundamental to it, but there is hardly any reason to use these kinds of comparison tables for anything useful among the latest models.
by zeagle | 2026-03-08 17:50:35+00:00
This is pretty impressive! I'm always impressed with what one can 3D print to fit commercial products into a previous case! Modifying to fit the larger webcam module, battery in that way was neat too. Does the display connect via framework's cable without modification? I have an old motherboard running headless I was thinking of resurrecting but if I need to hook up a USC-C display.
by anonyfox | 2026-03-08 17:50:54+00:00
because gemini, despite what stats say, still produces garbage once the problem gets harder. it nails it for lab conditions, but messy reality or creativity or even code quality is a far cry from opus or the latest gpt5.4 by a long shot. and always has been. its pretty good inside the GSuite because of integrations, but standalone its near worthless compared to even grok-code-fast which doesn't think much at all (but damn it is fast). At this point google keeps throwing noodlepots with AI against every wall in reach to see what sticks, which is more kind of desperation that still works to increase wall street highscores, but not exactly a streak or breakthrough. just rapid fire shotgun launches to see if anything sticks. No one serious talks Gemini because its not even worth considering still for real things outside shiny presentations and artificial benchmarks.
Show HN: Think Better – 155 decision-science rules for your AI assistant
by hoangthequyen01 | 2026-03-08 17:50:56+00:00
Hey HN, author here.
I noticed a pattern: every time I asked my AI assistant a complex question
like "should we migrate to microservices or optimize the monolith?", I'd get
the same generic pros-and-cons list. The model has the reasoning capability —
it just lacks structured mental models.
So I built Think Better: a set of open-source "AI Skills" (following the
Anthropic skill format) that inject professional decision science frameworks
directly into your local AI setup.
How it works under the hood:
- The skills contain 16 CSV files with 155 structured knowledge records
(decision frameworks, cognitive biases, decomposition methods, mental models)
- A Python BM25 search engine ranks the most relevant frameworks for your
specific problem type
- When you describe a decision or problem, the skill automatically classifies
it, recommends the best framework, warns about cognitive biases, and
generates a complete evaluation plan
For example, if you say "I'm defending our old tech stack because I wrote it",
the system triggers Status Quo Bias detection and forces you to calculate the
cost of inaction. If you're analyzing why revenue dropped 20%, it builds a
MECE Profitability Tree (Revenue = Price × Volume, Costs = Fixed + Variable)
and decomposes layer by layer.
What it includes:
- 10 decision frameworks (Hypothesis Trees, Pre-mortem, Weighted Matrix...)
- 12 cognitive biases with auto-detection rules and debiasing remedies
- 10 decomposition methods (MECE, Issue Tree, Profitability Tree...)
- 12 mental models (First Principles, Inversion, Bayesian Updating...)
Everything runs 100% locally. No API keys, no telemetry. The Go CLI is just
an installer that mounts the Python/CSV skills into your AI workspace:
./bin/think-better init --ai claude → .claude/skills/
./bin/think-better init --ai copilot → .github/prompts/
I'd love feedback on:
1. Are there frameworks or biases missing that you'd want?
2. Would you prefer a different skill format (e.g., for Cursor, Windsurf)?
3. Any thoughts on the BM25 approach vs. embedding-based search?
GitHub: https://github.com/HoangTheQuyen/think-better
by Lions2026 | 2026-03-08 17:51:58+00:00
That’s very similar to the pattern SafeAgent is trying to formalize.

What you described — (request_id, tool, input_hash, response) with a unique constraint — is basically the same core idea: treat the tool execution as a durable receipt and return the stored result on retries.

While experimenting with agents I kept seeing retries coming from multiple layers (agent loops, HTTP retries, queue workers), so the goal was to wrap that execution guard into a small library instead of re-implementing the pattern each time.

The tricky part you mentioned about error states is exactly what I ran into as well. If the execution fails you don’t want to record it in a way that blocks legitimate retries but also don’t want to silently replay a failure as if it succeeded.

Curious how you ended up modeling that in Postgres — did you separate failure states from successful receipts or just include a status flag in the same row?
by ragall | 2026-03-08 17:52:44+00:00
If you can reasonably estimate your usage and the peak total usage is less than ~5x the minimum, it still makes sense to just rent hardware at Hetzner.

You even have the possibility of managed racks, whereby you rent one or more racks, but the servers are still provided by Hetzner so you don't have to handle procurement, logistics or replacements.
by t0mas88 | 2026-03-08 17:53:05+00:00
> OpenAI, meanwhile, has been attempting to quell the backlash against its deal with the U.S. government, putting out a blog post claiming that “our tools will not be used to conduct domestic surveillance of U.S. persons,”

As a non-US person, that sounds far more concerning than no statement at all. Because if their tools weren't used for surveillance against Europeans they would have said so as a marketing message...
by sheepscreek | 2026-03-08 17:53:05+00:00
I 100% understand and agree the AI community argument around lethal autonomy.

But I am trying to understand this from the perspective of defence & govt. Why is it so business as usual for them? Do they consider this at par with missiles with infra-red/heat sensors for tracking/locking? Where does the definition of lethal autonomy begin and end?

Just putting this out there as a point to ponder on. By itself, this may rightly be too broad and should be debated.
by zeagle | 2026-03-08 17:53:11+00:00
I would imagine battery life would be poor vs an eReader. In case you seek the same: I used a boox onyx (12"?) and OK overall. Issues IMO were the display is very fragile & did it in in the end despite a case and pocket in the bag, color was a bit of gimmick, most importantly the resolution was not good enough read journals/PDFs/stuff like the guardian weekly via libby crisply without zooming in... but the rest was decent. I switched to a kindle scribe I got for 1/3 the price after but it can't read the guardian or anything like that unfortunately like an android tablet. So just a bulky eReader with meeting notes there. If it even just showed my daily calendar I’d be happy.
by fuzzfactor | 2026-03-08 17:53:16+00:00
Yes, and besides that no matter what you do you just can't get these virtuosos to tune their pianos on the spot ;)

So you've got to tune your guitar to sound good with them and probably not just matching your open strings to their corresponding notes.

While your electronic tuner flashes an ugly warning or the strobe tuner won't stand still :(
by tempest_ | 2026-03-08 17:53:29+00:00
Sysadmins needs logs that tell them what action they can do fix it. Developers need logs that tell them what a system is doing.

Generally a sysadmin needs to know "is there an action I can do to correct this" where as a dev has the power to alter source code and thus needs to know what and where the system is doing things.
by a-dub | 2026-03-08 17:53:58+00:00
what do you actually gain over enforced formatting?

first you should not be composing releases at the end from conflicting branches, you should be integrating branches and testing each one in sequence and then cutting releases. if there are changes to the base for a given branch, that means that branch has to be updated and re-tested. simple as that. storing changes as normalized trees rather than normalized text doesn't really buy you anything except for maybe slightly smarter automatic merge conflict resolution but even then it needs to be analyzed and tested.
by acidburnNSA | 2026-03-08 17:54:11+00:00
I have something like this, in the same case. I have beefier specs b/c I use it as a daily workstation in addition to running all my stuff.

* nginx with letsencrypt wildcard so I have lots of subdomains

* No tailscale, just pure wireguard between a few family houses and for remote access

* Jellyfin for movies and TV, serving to my Samsung TV via the Tizen jellyfin app

* Mopidy holding my music collection, serving to my home stereo and numerous other speakers around the house via snapcast (raspberry pi 3 as the client)

* Just using ubuntu as the os with ZFS mirroring for NAS, serving over samba and NFS

* Home assistant for home automation, with Zigbee and Z-wave dongles

* Frigate as my NVR, recording from my security cams, doing local object detection, and sending out alerts via Home Assistant

* Forgejo for my personal repository host

* tar1090 hooked to a SDR for local airplane tracking (antenna in attic)

This all pairs nicely with my two openwrt routers, one being the main one and a dumb AP, connected via hardwire trunk line with a bunch of VLANs.

Other things in the house include an iotawatt whole-house energy monitor, a bunch of ESPs running holiday light strips, indoor and outdoor homebrew weather stations with laser particulate sensors and CO2 monitors (alongside the usual sensors), a water-main cutoff (zwave), smart bulbs, door sensors, motion sensors, sirens/doorbells, and a thing that listens for my fire alarm and sends alerts. Oh and I just flashed the pura scent diffuser my wife bought and lobotomized it so it can't talk to the cloud anymore, but I can still automate it.

I love it and have tons of fun fiddling with things.
by serf | 2026-03-08 17:54:32+00:00
ever tried living while simultaneously deciding to only patron groups that strictly morally and ethically align to your own personal beliefs?

I would love to, but a practical look at that concept seems practically impossible.

My .02c : Claude was already involved in underhanded shit I don't want a part of[0] and that generated little ethical response from Anthropic , i've had better luck as a 200/mo tier customer with ChatGPT, and I don't really think that Dario claiming that their newest LLM is conscious[1] on a market schedule is all that ethical, either.

[0]: https://en.wikipedia.org/wiki/Project_Maven
[1]: https://tech.yahoo.com/ai/claude/articles/anthropic-ceo-admi...