MurphyA/hacker-news huggingface dataset:
by devinbhushan | 2026-02-05 20:41:13+00:00
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High Priority Open Roles:

- Applied AI Engineer (Mid-level to Staff+)

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View full list of roles and apply here: https://jobs.ashbyhq.com/squint.ai?utm_source=Hackernews
by lebca | 2026-02-05 20:41:19+00:00
I used to know someone wealthy whose continued wealth relied on working with local and state governments. This person's public correspondence in lawsuits and with local government officials was purposefully littered with spelling, punctuation, grammar, and capitalization errors. When I asked them about it, their response was that it was on purpose so that they seemed less smart and thus less threatening, with the hope that they would get more favorable rulings and contracts by not seeming like "one of the big entities."

I'm not asking you to believe me on this, but sharing it more as an anecdote of: something on the surface is sometimes not the reality of what's underneath.
by itay-maman | 2026-02-05 20:41:23+00:00
Important: I didn't see opus 4.6 in claude code. I have native install (which is the recommended instllation). So, I re-run the installation command and, voila, I have it now (v 2.1.32)

Installation instructions: https://code.claude.com/docs/en/overview#get-started-in-30-s...
by JumpCrisscross | 2026-02-05 20:41:26+00:00
> I was going to have to bring myself up to speed with LLMs

What did you do beyond playing around with them?

> Of course it works. Why would anybody think otherwise?

Sam Altman is a liar. The folks who are pitching AI as an investment were previously flinging SPACs and crypto. Copilot and Siri overpromised and underdelivered. Vibe coders are mostly idiots.

The bar for believability in AI is about as high as its frontier's actual achievements.
by pinnochio | 2026-02-05 20:41:29+00:00
> In those days they did this by having physical public spaces for interaction, which we've since priced people out of through artificial scarcity of real estate via zoning laws.

IDK where to begin with this, because we clearly do have physical public spaces for interaction, whether free like parks or not free like coffee shops. People also hang out at each others' homes. Moreover, supply of public spaces increases when there's demand, much of which is being soaked up by social media.

You're also acting like we can't meaningfully distinguish between social media and other forms of communication and that we have to be all or nothing about it, which is a bewildering take. Even social media can be meaningfully distinguished in terms of design features. Facebook back when it was posting on friends' walls, no likes, comments, shares, friend/follower counts, or feeds, was fun and mostly harmless. LinkedIn was genuinely useful when the feed was nothing more than professional updates. They've all since morphed into toxic cesspools of social comparison, parasociality, polarization, disinformation, and other problems. Interoperability/federation doesn't solve those problems: most of the interoperable and federated solutions actually perpetuate them, because the problematic design features are part of the spec.
Show HN: Ate – Portable dense memory for AI agents (.mv2 format)
by TaylorM492 | 2026-02-05 20:41:36+00:00
We built ate because AI agents keep forgetting everything between sessions. RAG retrieves documents, but agents need to remember what they learned — decisions, preferences, context.

ate stores thousands of memories in a single .mv2 file (~2MB for 10K memories). It's encrypted (AES-256), works offline, and agents can carry their memory file anywhere.

Key features:
- Multi-agent concurrent access (MVCC, no locks)
- Memory Capsules for sharing context between agents
- Trains of thought for reasoning chains
- Works with CrewAI, LangChain, and Agno (PRs open)

Install: pip install ate-memory
Try: ate memory init my-agent && ate memory add my-agent --text "first memory"

We're using it to give our own agents persistent memory. Would love feedback from anyone building multi-agent systems.
by timc3 | 2026-02-05 20:41:50+00:00
Similar but not quite. One of the problems that you might face is a lot of tutorials are for Ableton, Logic, Cubase etc. It shouldn't actually matter, but you might find it confusing what you can and cant do if you are following what someone else is doing in another program. It’s like learning C# from a Java course. Once you understand the fundamentals it does not matter what you use within reason.

But I’ve used Ardour a long time ago and I don’t see why you couldn’t release music with it. Another alternative is Reaper.
by lo_zamoyski | 2026-02-05 20:42:01+00:00
"A majority of individuals involved are anarchists, communists, and socialists, although some social democrats also participate in the antifa movement. The name antifa and the logo with two flags representing anarchism and communism are derived from the German antifa movement." [0]

[0] https://en.wikipedia.org/wiki/Antifa_(United_States)
by mjr00 | 2026-02-05 20:42:52+00:00
> Break down sessions into separate clear, actionable tasks. Don't try to "draw the owl" in one mega session.

This is the key one I think. At one extreme you can tell an agent "write a for loop that iterates over the variable `numbers` and computes the sum" and they'll do this successfully, but the scope is so small there's not much point in using an LLM. On the other extreme you can tell an agent "make me an app that's Facebook for dogs" and it'll make so many assumptions about the architecture, code and product that there's no chance it produces anything useful beyond a cool prototype to show mom and dad.

A lot of successful LLM adoption for code is finding this sweet spot. Overly specific instructions don't make you feel productive, and overly broad instructions you end up redoing too much of the work.
by schmidtleonard | 2026-02-05 20:43:23+00:00
The big social media businesses deserve a Teddy Roosevelt character swooping in and busting their trusts, forcing them to play ball with others even if it destroys their moats. Boo hoo! Good riddance. World's tiniest violin.

This is a popular position across the aisle. Here's hoping the next guy can't be bought, or at least asks for more than a $400M tacky gold ballroom!
by nopinsight | 2026-02-05 20:43:24+00:00
From Claude 4.6 Thinking:

OSWorld is the full 369-task benchmark. OSWorld Verified is a ~200-task subset where humans have confirmed the eval scripts reliably score success/failure — the full set has some noisy grading where correct actions can still get marked wrong.

Scores on Verified tend to run higher, so they're not directly comparable.
Ask HN: Are you that busy? About Clawdbot
by dakiol | 2026-02-05 20:43:40+00:00
So the other day I read the post https://brandon.wang/2026/clawdbot, and what surprised me wasn’t the AI part of it, but how busy the author is. I really believe he needs all that AI help to get on with his life, because I would be overwhelmed by so much busyness. I'm a tech guy, and I also have meetings and appointments like any of you, but I cannot deal with that amount of activity/notifications/management in my life. I try to keep things simple (I don't keep a todo list for the items in our fridge, I try to remember, and yeah, sometimes we forget to buy eggs, but such is life). I don't like to be "on top of things" all the time.

So, is that how most of you also live (like the author)? Perhaps Im missing something (FOMO, you know), but I guess even if that's the case, I think that should be fine too; i mean it's fine to miss things (that's like being mortal, that's what makes other things more important I guess).
Ask HN: How do you deal with software tracking your data?
by tavro | 2026-02-05 20:43:48+00:00
today my colleagues were talking about software collecting usage data and it made me curious.

big companies often profit from this data and often there is no way to opt-out from stats reporting.

how do you reason about this? how do you handle this in your daily life? do you avoid certain software? or do you just accept it? are there apps that respect user data?

:o)
by matansfb | 2026-02-05 20:43:49+00:00
Hey HN, thanks for all the feedback on my earlier post.

I’ve updated the site based directly on the comments here:

Fixed $/TB calculations (using decimal units, 1 TB = 1000 GB)

Properly normalized bundle / multi-pack listings

Removed misleading entries and tightened validation

Clarified assumptions directly in the UI

Would really appreciate another look to see if this addresses the issues raised.
Happy to hear any further feedback.
by sofixa | 2026-02-05 20:43:59+00:00
Kid gloves? The cites text literally says:

> His policies resulted in the deaths of tens of millions of people in China during his reign, mainly due to starvation, but also through persecution, prison labour in laogai, and mass executions

What's "kid gloves" about that?

Let's contrast with the the farthest thing from a leftwing dictator we can find, the quintessential rightwing one, Adolf Hitler. Here's the intro to his Wikipedia page:

> Adolf Hitler[a] (20 April 1889 – 30 April 1945) was an Austrian-born German politician who was the dictator of Germany during the Nazi era, which lasted from 1933 until his suicide in 1945. He rose to power as the leader of the Nazi Party,[b] becoming the chancellor of Germany in 1933 and then taking the title of Führer und Reichskanzler in 1934.[c] Germany's invasion of Poland on 1 September 1939 under his leadership marked the outbreak of the Second World War. Throughout the ensuing conflict, Hitler was closely involved in the direction of German military operations as well as the perpetration of the Holocaust, the genocide of about six million Jews and millions of other victims.

Note how the atrocities are last, same as Mao.
by zahlman | 2026-02-05 20:44:17+00:00
I imagine that it would require browsers to treat web requests from JS differently from those initiated by the user, specifically pretending the JS-originating requests are by logged-out or "incognito" users (by, I suppose, simply not forwarding any local credentials along, but maybe there's more to it than that).

Which would probably wreak havoc with a lot of web apps, at least requiring some kind of same-origin policy. And maybe it messes with OAuth or something. But it does seem at least feasible.
by tastyfreeze | 2026-02-05 20:44:17+00:00
I believe we have a fundamental difference of opinion on the purpose of government. To me the intended purpose of the government as defined in the Constitution is to foster an environment for people to thrive. It is up to the people to do the work to thrive.

Every dollar that government takes is reducing the wealth of all people and concentrating it in the hands of a few. If you are against whatever power you perceive billionaires have with money they earned then I don't understand why you are not against the growth of an entity that is a multi-trillionaire by stealing from everybody else.

If you want to help people and make the world a better place focus on your town or city and make it better. No reason that you need to wait for big daddy government to do it with money they took from your pocket.
by antirez | 2026-02-05 20:44:25+00:00
Besides, the fact an LLM may recall parts of certain documents, like I can recall incipits of certain novels, does not mean that when you ask LLM of doing other kind of work, that is not recalling stuff, the LLM will mix such things verbatim. The LLM knows what it is doing in a variety of contexts, and uses the knowledge to produce stuff. The fact that for many people LLMs being able to do things that replace humans is bitter does not mean (and is not true) that this happens mainly using memorization. What coding agents can do today have zero explanation with memorization of verbatim stuff. So it's not a matter of copyright. Certain folks are fighting the wrong battle.
by sbuttgereit | 2026-02-05 20:44:50+00:00
Probably worth posting some links to the Institute for Justice's "Project on the Fourth Amendment":

https://ij.org/issues/ijs-project-on-the-4th-amendment/

This Project includes work to fight technologies such as Flock's in the courts:

https://ij.org/issues/ijs-project-on-the-4th-amendment/licen...

I've always felt good contributing to IJ and the topic and takes in the posted video are precisely why I do so.
by ks2048 | 2026-02-05 20:45:04+00:00
It's cool that you can look at the git history to see what it did. Unfortunately, I do not see any of the human written prompts (?).

First 10 commits, "git log --all --pretty=format:%s --reverse | head",

Initial commit: empty repo structure
Lock: initial compiler scaffold task
Initial compiler scaffold: full pipeline for x86-64, AArch64, RISC-V
Lock: implement array subscript and lvalue assignments
Implement array subscript, lvalue assignments, and short-circuit evaluation
Add idea: type-aware codegen for correct sized operations
Lock: type-aware codegen for correct sized operations
Implement type-aware codegen for correct sized operations
Lock: implement global variable support
Implement global variable support across all three backends
by jmalicki | 2026-02-05 20:45:46+00:00
I suspect they're marginally profitable on API cost plans.

But the max 20x usage plans I am more skeptical of. When we're getting used to $200 or $400 costs per developer to do aggressive AI-assisted coding, what happens when those costs go up 20x? what is now $5k/yr to keep a Codex and a Claude super busy and do efficient engineering suddenly becomes $100k/yr... will the costs come down before then? Is the current "vibe-coding renaissance" sustainable in that regime?
by dawidg81 | 2026-02-05 20:45:56+00:00
I've tried that too but it was almost the same, chatgpt kept forgetting many things about the code and project structure.
In summary AI can get problematic for me and i get with troubles with it.
This is like one of the reasons why I still prefer traditional text editor for writing code like Vim over a "software on steroids" like VS Code and things like that...
by reify | 2026-02-05 20:46:02+00:00
Years ago we used to call them sat navs, those little gadgetty thingy's with mappy things on them.

I never used one. I have a rather big brain that can look at a paper map and remember the route, Its not that difficult.

anyway. I digress.

So this guy with a similar sounding name as a Sat nav. Sat nad!

I keep seeing the same photo in the news of him squeezing a ball or round object with his hands.

I think this is a freudian slip of great magnitude.

He is trying to emulate squeezing more money out of investors for his fantasy project.

Have you noticed they all have shiny polished faces at that company.

and they still talk the same bollocks.
by verdverm | 2026-02-05 20:46:20+00:00
This is an insanely crowded space and the answer depends on your perspective

Are you trying to turn the open source into a money making thing? What makes yours better than the 1000s of other options? Marketing, branding, and luck are probably what determines the winners

Are you making it for yourself and share it just to share it? Don't worry about metrics and build something you love to use yourself. Write docs and make a discord. Projects with 10s of users can be just fine. Getting even one power user in your discord will help the motivation.

So what are your goals?
by PaulDavisThe1st | 2026-02-05 20:46:35+00:00
Ardour is not as focused on "in the box composition" (i.e. making music entirely on your computer) as Live or Bitwig are. It originated as something closer to ProTools or Logic or Digital Performer in the sense that it was focused on recording people doing stuff (blowing,hitting,singing,speaker,scraping etc. etc).

However, in recent years, we've added a lot of the stuff you need for "in the box composition" and many people do use it that way. There's (always) more to do, but it's fairly capable in this sort of workflow now too and will continue to improve over time.

Ardour has been around for more than 25 years.

Please be aware that almost any fully-capable DAW (everything named here except lmms) has a steep, challenging learning curve. Don't jump in thinking it will be easy.
by Insanity | 2026-02-05 20:46:39+00:00
These binary distinctions (mostly) don't work for people in the real world. It's not a book or movie where people are clearly either good or bad, in reality all people are a mix of both.

He's still doing his work on philanthropy which is IMO a good thing.

The one counterexample to my point that I'd think of is Hitler. And _technically_ he did do good things for Germany as well, the bad just overwhelmingly outshines the good in this case.
by burkaman | 2026-02-05 20:46:43+00:00
I don't see any evidence of this happening in Firefox. Either it's more difficult or they just didn't bother, either way I'm happy.

Edit: Can't find much documentation on exactly how the anti-fingerprinting works, but this page implies that the browser blocks extension detection: https://support.mozilla.org/en-US/kb/trackers-and-scripts-fi...
by zackmorris | 2026-02-05 20:46:56+00:00
We can borrow some math from Nyquist and Shannon to understand how much information can be transmitted over a noisy channel and potentially overcome the magic ruler uncertainty from the article:

https://en.wikipedia.org/wiki/Nyquist_rate

https://en.wikipedia.org/wiki/Noisy-channel_coding_theorem

Loosely this means that if we're above the Shannon Limit of -1.6 dB (below a 50% error rate), then data can be retransmitted some number of times to reconstruct it by:

number of retransmissions = log(desired confidence)/log(odds of failure)

Where confidence for n sigma, using the cumulative distribution function phi is:

confidence = 1 - phi(sigma)

So for example, if we want to achieve the gold standard 5 sigma confidence level of physics for a discovery (an uncertainty of 2.87x10^-7), and we have a channel that's n% noisy, here is a small table showing the number of resends needed:

Error rate Number of resends
0.1% 3
1% 4
10% 7
25% 11
49% ~650

In practice, the bit error rate for most communication channels today is below 0.1% (dialup is 10^-6 to 10^-4, ethernet is around 10^-12 to 10^-10). Meaning that to send 512 or 1500 byte packets for dialup and ethernet respectively results in a cumulative resend rate of around 4% (dialup) and 0.1% (ethernet).

Just so we have it, the maximum transmission unit (MTU), which is the 512 or 1500 bytes above, can be calculated by:

MTU in bits = (desired packet loss rate)/(bit error rate)

So (4%)/(10^-5) = 4000 bits = 500 bytes for dialup and (0.0000001)/(10^-11) = 10000 bits = 1250 bytes for ethernet. 512 and 1500 are close enough in practice, although ethernet has jumbo frames now since its error rate has remained low despite bandwidth increases.

So even if AI makes a mistake 10-25% of the time, we only have to re-run it about 10 times (or run 10 individually trained models once) to reach a 5 sigma confidence level.

In other words, it's the lower error rate achieved by LLMs in the last year or two that has provided enough confidence to scale their problem solving ability to any number of steps. That's why it feels like they can solve any problem, whereas before that they would often answer with nonsense or give up. It's a little like how the high signal to noise ratio of transistors made computers possible.

Since GPU computing power vs price still doubles every 2 years, we only have to wait about 7 years for AI to basically get the answer right every time, given the context available to it.

For these reasons, I disagree with the premise of the article that AI may never provide enough certainty to provide engineering safety, but I appreciate and have experienced the sentiment. This is why I estimate that the Singularity may arrive within 7 years, but certainly within 14 to 21 years at that rate of confidence level increase.
by Aurornis | 2026-02-05 20:46:58+00:00
I suggest everyone take a look at the list of extensions and their names for some very important context: https://github.com/mdp/linkedin-extension-fingerprinting/blo...

I didn't find popular extensions like uBlock or other ad blockers.

The list is full of scammy looking data collection and AI tools, though. Some random names from scrolling through the list:

- LinkedGPT: ChatGPT for LinkedIn

- Apollo Scraper - Extract & Export Apollo B2B Leads

- AI Social Media Assistant

- LinkedIn Engagement Assistant

- LinkedIn Lead Magnet

- LinkedIn Extraction Tool - OutreachSheet

- Highperformr AI - Phone Number and Email Finder

- AI Agent For Jobs

These look like the kind of tools scummy recruiters and sales people use to identify targets for mass spamming. I see several AI auto-application tools in there too.
by soulofmischief | 2026-02-05 20:47:08+00:00
GPT 5.2 codex plans well but fucks off a lot, goes in circles (more than opus 4.5) and really just lacks the breadth of integrated knowledge that makes opus feel so powerful.

Opus is the first model I can trust to just do things, and do them right, at least small things. For larger/more complex things I have to keep either model on extremely short leashes. But the difference is enough that I canceled my GPT Pro sub so I could switch to Claude. Maybe 5.3 will change things, but I also cannot continue to ethically support Sam Altman's business.
by trinix912 | 2026-02-05 20:47:19+00:00
Well yes, but how do you find out that the stream of the pirate is the same stream that is currently being shown to some person down the road?

Sure, you can buy a box and inspect that stream, but if there's a multitude of pirate streams it's an eternal whack-a-mole game. You cancel one pirate's subscription, the streams redirect to another, in the meantime the first pirate somehow gets access to another legitimate stream and so on.

This also doesn't account for the fact that there might be another proxy pirate in the middle who would relay the stream without the ID to the box. This way even if you have the box you cannot find out which subscriber specifically the stream originates from.

To be 100% sure nothing is pirated, the streaming provider would have to either MITM the traffic from the ISP to the end-user (not legally possible) or just plain old show up at a place of a non-subscriber and inspect the equipment (again legally questionable).
by dev_l1x_be | 2026-02-05 20:47:26+00:00
Or CDN, queues, log service, observability, distributed storage. I am not even sure what the people in the on-prem vs cloud argument think. If you need a highly specialised infra with one or two core services and a lower tier network is ok then on-prem is ok. Otherwise if is a never ending quest to re-discover the millions of engineering hours went into building something like AWS.