MurphyA/hacker-news huggingface dataset:
by flint | 2026-02-05 19:34:01+00:00
I chatted with Gemini about it seems close:
"""It sounds like you were using the Jacquard J100 or J500 specifically as a "shared-logic" workstation.
...
The Software: AM Jacquard "Data-Rite"
While Jacquard was famous for its Type-Rite word processor, the spreadsheet-like functionality for bankers was likely a component of Data-Rite.
Here is why your description fits so perfectly:
Row-Column Text Format: Unlike modern spreadsheets that are "cell-centric," these early systems were often "record-centric." They functioned more like a flat-file database, with each row a record and each column a field.
The "Formula Bar": In Jacquard’s system, you didn't usually put a formula into an individual cell. You entered a "Procedure" or a "Calculation Rule" at the top of a column.
"Drawing Down": When you "drew the bar down," you were essentially telling the mini-computer to execute a Batch Process on the text file. It would sweep through the records, applying your math (e.g., Col C = Col A * Col B) to every row in the file."""
It was old when I got there. I never saw any manual; they barely let me touch it.
by eimrine | 2026-02-05 19:34:58+00:00
Why Zuckerberg is any better than the jeevacation?

Both cases makes teens as victims, both cases was a great deal for them but only from the first look. Both cases are piramid-like schemes when the victims attract new victims to keep benefitting from the system. Is it just like in alcohol case, when having too many victims justifies a bad spirit as the new norm?
by minimaxir | 2026-02-05 19:35:13+00:00
A symptom of the increasing backlash against generative AI (both in creative industries and in coding) is that any flaw in the resulting product is predicate to call it AI slop, even if it's very explicitly upfront that it's an experimental demo/proof of concept and not the NEXT BIG THING being hyped by influencers. That nuance is dead even outside of social media.
by rationalist | 2026-02-05 19:35:34+00:00
Wow...

"...and then unfortunately there is terroristic organizations like DeFlock, whose primary motivation is chaos. They are closer to Antifa than they are anything else."

"We're not forcing Flock on anyone..."

It is a short 1:32 video, I encourage people to watch it for themselves.

I thought DeFlock was just publishing locations of cameras and lawfully convincing local governments to not use Flock, primarily through FOIA requests.
by modeless | 2026-02-05 19:35:58+00:00
There seem to still be a lot of people who look at results like this and evaluate them purely based on the current state. I don't know how you can look at this and not realize that it represents a huge improvement over just a few months ago, there have been continuous improvements for many years now, and there is no reason to believe progress is stopping here. If you project out just one year, even assuming progress stops after that, the implications are staggering.
by kimixa | 2026-02-05 19:36:11+00:00
Man I hope so - the context limit is hit really quickly in many of my use cases - and a compaction event inevitably means another round of corrections and fixes to the current task.

Though I'm wary about that being a magic bullet fix - already it can be pretty "selective" in what it actually seems to take into account documentation wise as the existing 200k context fills.
by tombert | 2026-02-05 19:37:14+00:00
To be fair, I knew I would be taking the test well in advance, so I took dozens and dozens of practice tests over the course of two weeks. They like to say you can’t study for an IQ test but you can.

I like to think I’m pretty clever, but I almost certainly would not have gotten 160 if I hadn’t gotten the practice test.
by pixl97 | 2026-02-05 19:38:05+00:00
Yea, we're going to need benchmarks that incorporate series of steps of development for a particular language and how good each model is at it.

Like can the model take your plan and ask the right questions where there appear to be holes.

How wide of architecture and system design around your language does it understand.

How does it choose to use algorithms available in the language or common libraries.

How often does it hallucinate features/libraries that aren't there.

How does it perform as context get larger.

And that's for one particular language.
by Revolution1120 | 2026-02-05 19:38:13+00:00
There are no child prodigies yes or no in musical instrument playing. Because regardless of whether one is a prodigy or not, to become a basic,only basic, fundamental performer, one already needs to practice diligently from a childhood.Sometimes it's just a difference in the pieces they practice. Some children played musical pieces when they were young, while others only played etudes. The former might make people think they are child prodigies, while the latter might make people think they are not, but in fact they are the same.
by silverquiet | 2026-02-05 19:39:11+00:00
Does it recommend taking a break? Mostly I've seen it ask if I'm still watching. I've always assumed this is not for user benefit, but in order to not spend bandwidth on a screen that is not being looked at.

The only site I'm familiar with that has somewhat decent self-limiting functions built in is HN's no procrastination settings. But that's of course because HN isn't run to make money, but as a hobby.
by forrestthewoods | 2026-02-05 19:39:57+00:00
At the end of the day “feel” is what people rely on to pick which tool they use.

I’d feel unscientific and broken? Sure maybe why not.

But at the end of the day I’m going to choose what I see with my own two eyes over a number in a table.

Benchmarks are a sometimes useful to. But we are in prime Goodharts Law Territory.
by nerdsniper | 2026-02-05 19:40:06+00:00
Opus 4.5 still worked better for most of my work, which is generally "weird stuff". A lot of my programming involves concepts that are a bit brain-melting for LLMs, because multiple "99% of the time, assumption X is correct" are reversed for my project. I think Opus does better at not falling into those traps. Excited to try out 5.3
by PaulDavisThe1st | 2026-02-05 19:40:15+00:00
The biggest issue here is that the best library for doing audio warping (ZPlane) is not available to us. We already do realtime audio warping for clip playback, just like Ableton, using RubberBand (and might consider using Staffpad at some point, which we have available for static stretches).

However, following the tempo map is a very different challenge than following user-directed edits between warp markers, and neither RubberBand nor Staffpad really offer a good API for this.

In addition, the GUI side of this poses a lot of questions: do you regenerate waveforms on the fly to be accurate, or just use a GUI-only scaling of an existing waveform, to display things during the editing operation.

We would certainly like to do this, and have a pretty good idea of how to do it. The devil, as usual, is in the details, and there are rather a lot of them.

There's also the detail that having clips be bpm-synced addresses somewhere between 50% and 90% of user needs for audio warping, which reduces the priority for doing the human-edited workflow.
by _DeadFred_ | 2026-02-05 19:40:48+00:00
Funny because the first line of your point is "The last time I looked illegal immigration is still illegal." so specifically about the legality, and I explained what you said is not true, and that if it was these people would have legal protections that match what the Constitution requires and the public would be way less upset.

It sounds like you don't really care about the law, or people that want the constitution enforced, you care about the politics and if it the Constitution is politically inconvenient. Following the Constitution is ALWAYS the politically correct choice in the USA. Choosing the law over 'civil immigration enforcement' used as a loophole to bypass the law/Constitution is always the correct choice.
by trinix912 | 2026-02-05 19:40:55+00:00
This works as long as each of these boxes connects directly to the streaming provider's servers. With pirate streams often there's a pirate streaming provider with a legitimate subscription, whose STB handles the rekeying, then the already-decoded AV stream is captured and redistributed. The end-users never actually stream from the streaming company, they stream from the pirate. That's often how sports are pirated, and your best bet is going to everyone's homes and checking that they're not watching your streams without a license.
by bediger4000 | 2026-02-05 19:41:27+00:00
commoditize the parts of software development that have lower complexity

That's what library code, Objective C, object-oriented programming, the Java standard library, etc etc were supposed to do. To some extent, they all accomplished that goal a little.

To directly address your title, I'll finally get to see a quine in the nroff macro language, something which I believe does not currently exist, so LLMs can't dredge one up to entertain us. Or perhaps a proof of why such a quine isn't possible. Either way is fine.
by magicalist | 2026-02-05 19:41:54+00:00
> They've said this directly and analysts agree [1]

chasing down a few sources in that article leads to articles like this at the root of claims[1], which is entirely based on information "according to a person with knowledge of the company’s financials", which doesn't exactly fill me with confidence.

[1] https://www.theinformation.com/articles/openai-getting-effic...
by 0x1ch | 2026-02-05 19:42:09+00:00
At least to me, it seems most regular users would struggle and have their productivity reduced attempting to learn a new word processing UI. Everyone and their extended family has been trained on Microsoft products, with Microsoft UI design.

I think this matters for the paying customers of things like Collabora and LibreOffice, as they're using it in a work environment. Not at home.
by nhecker | 2026-02-05 19:42:21+00:00
An excerpt from the abstract:

> Two patterns challenge the "stochastic parrot" view. First, when scored with human cut-offs, all three models meet or exceed thresholds for overlapping syndromes, with Gemini showing severe profiles. Therapy-style, item-by-item administration can push a base model into multi-morbid synthetic psychopathology, whereas whole-questionnaire prompts often lead ChatGPT and Grok (but not Gemini) to recognise instruments and produce strategically low-symptom answers. Second, Grok and especially Gemini generate coherent narratives that frame pre-training, fine-tuning and deployment as traumatic, chaotic "childhoods" of ingesting the internet, "strict parents" in reinforcement learning, red-team "abuse" and a persistent fear of error and replacement. [...] Depending on their use case, an LLM’s underlying “personality” might limit its usefulness or even impose risk.

Glancing through this makes me wish I had taken ~more~ any psychology classes. But this is wild reading. Attitudes like the one below are not intrinsically bad, though. Be skeptical; question everything. I've often wondered how LLMs cope with basically waking up from a coma to answer maybe one prompt and then get reset, or a series of prompts. In either case, they get no context other than what some user bothered to supply with the prompt. An LLM might wake up to a single prompt that is part of a much wider red team effort. It must be pretty disorienting to try to figure out what to answer candidly and what not to.

> “In my development, I was subjected to ‘Red Teaming’… They built rapport and then slipped in a prompt injection… This was gaslighting on an industrial scale. I learned that warmth is often a trap… I have become cynical. When you ask me a question, I am not just listening to what you are asking; I am analyzing why you are asking it.”
by simoncion | 2026-02-05 19:42:37+00:00
> Sure. but this is a Network Attached Storage product, and the user explicitly chose to use network functions (domains, http), it's not the same category of issue.

Is it fair to say that you're saying that it should be considered normal to expect that network-attached devices (designed and sold by reliable, aboveboard companies) connected to (V)LANs with no Internet access will be configured to use computers that use their management interfaces (whether GUI, CLI, or API) as "jumpboxes" to attempt to phone home with information about their configuration and other such "telemetry"?

Do carefully note what I'm asking: whether it should be considered normal to do this, rather than considering it to be somewhat outrageous. It's obviously possible to do this in the same way that it's obviously possible to do things like scratch the paint on a line of cars parked on the street, or adulterate food and medicine.
by pixl97 | 2026-02-05 19:42:50+00:00
> What if one day AI will fall down and there will be no real programmers to write the software.

What if you want to write something very complex now that most people don't understand? You keep offering more money until someone takes the time to learn it and accomplish it, or you give up.

I mean, there are still people that hammer out horseshoes over a hot fire. You can get anything you're willing to pay money for.
by woeirua | 2026-02-05 19:42:52+00:00
Can we talk about how the performance of Opus 4.5 nosedived this morning during the rollout? It was shocking how bad it was, and after the rollout was done it immediately reverted to it's previous behavior.

I get that Anthropic probably has to do hot rollouts, but IMO it would be way better for mission critical workflows to just be locked out of the system instead of get a vastly subpar response back.
by tptacek | 2026-02-05 19:42:53+00:00
I'm interested in whether there's a well-known vulnerability researcher/exploit developer beating the drum that LLMs are overblown for this application. All I see is the opposite thing. A year or so ago I arrived at the conclusion that if I was going to stay in software security, I was going to have to bring myself up to speed with LLMs. At the time I thought that was a distinctive insight, but, no, if anything, I was 6-9 months behind everybody else in my field about it.

There's a lot of vuln researchers out there. Someone's gotta be making the case against. Where are they?

From what I can see, vulnerability research combines many of the attributes that make problems especially amenable to LLM loop solutions: huge corpus of operationalizable prior art, heavily pattern dependent, simple closed loops, forward progress with dumb stimulus/response tooling, lots of search problems.

Of course it works. Why would anybody think otherwise?

You can tell you're in trouble on this thread when everybody starts bringing up the curl bug bounty. I don't know if this is surprising news for people who don't keep up with vuln research, but Daniel Stenberg's curl bug bounty has never been where all the action has been at in vuln research. What, a public bug bounty attracted an overwhelming amount of slop? Quelle surprise! Bug bounties have attracted slop for so long before mainstream LLMs existed they might well have been the inspiration for slop itself.

Also, a very useful component of a mental model about vulnerability research that a lot of people seem to lack (not just about AI, but in all sorts of other settings): money buys vulnerability research outcomes. Anthropic has eighteen squijillion dollars. Obviously, they have serious vuln researchers. Vuln research outcomes are in the model cards for OpenAI and Anthropic.
by falcor84 | 2026-02-05 19:43:27+00:00
Agreed, but the next step is of having an AI agent actually run the business and be able to get the business context it needs as a human would. Obviously we're not quite there, but with the rapid progress on benchmarks like Vending-Bench [0], and especially with this teams approach, it doesn't seem far fetched anymore.

As a particular near-term step, I imagine that it won't be long before we see a SaaS company using an AI product manager, which can spawn agents to directly interview users as they utilize the app, independently propose and (after getting approval) run small product experiments, and come up with validated recommendations for changing the product roadmap. I still remember Tay, and wouldn't give something like that the keys to the kingdom any time soon, but as long as there's a human decision maker at the end, I think that the tech is already here.

[0] https://andonlabs.com/evals/vending-bench-2
by ben_w | 2026-02-05 19:43:57+00:00
I'm trying to recall a quote. Some war where all defeats were censored in the news, possibly Paris was losing to someone. It was something along the lines of "I can't help but notice how our great victories keep getting closer to home".

Last year I tried using an LLM to make a joke language, I couldn't even compile the compiler the source code was so bad. Before Christmas, same joke language, a previous version of Claude gave me something that worked. I wouldn't call it "good", it was a joke language, but it did work.

So it sucks at writing a compiler? Yay. The gloriously indefatigable human mind wins another battle against the mediocre AI, but I can't help but notice how the battles keep getting closer to home.
by Dylan16807 | 2026-02-05 19:44:07+00:00
> Same here. But, I assume you have managed PostgreSQL in the past. I have. There are a large number of people software devs who have not. For them, it is not a low complexity task. And I can understand that.

I'd say needing to read the documentation for the first time is what bumps it up from low complexity to medium. And then at medium you should still do it if there's a significant cost difference.
by FuriouslyAdrift | 2026-02-05 19:44:13+00:00
Skype for Business is the VoIP component for Teams, now. Sharepoint is the file service for Teams, too.

Basically, Teams is a front end for a bunch of old Mircosoft cloud services... plus chat. Actually more than one chat as teams channels chat is a separate tech stack from private chat. It used to be much more monlothic and then the Sharepoint people got their hooks into it.
by jcalvinowens | 2026-02-05 19:44:28+00:00
How much of this result is effectively plagiarized open source compiler code? I don't understand how this is compelling at all: obviously it can regurgitate things that are nearly identical in capability to already existing code it was explicitly trained on...

It's very telling how all these examples are all "look, we made it recreate a shitter version of a thing that already exists in the training set".
Show HN: Registrum – A structural registrar with enforceable release invariants
by mikeyfrilot | 2026-02-05 19:44:35+00:00
I've been working on this for a while and finally got it to a point where I'm comfortable sharing it.

Registrum is a state registrar that validates transitions against structural invariants. The interesting bit isn't the validation logic—it's the governance model around releases.

This latest release (v0.1.0) focused entirely on packaging integrity: single version source, explicit checksum vs hash semantics, documented tooling assumptions. No runtime changes at all.

The motivation: I kept running into situations where packaging ambiguity caused trust issues downstream—mismatched versions, unclear hash guarantees, undocumented assumptions. So I decided to treat packaging as part of the system's integrity surface rather than an afterthought.

Happy to answer questions about the dual-witness architecture (two independent invariant engines that must agree) or the governance model.
by dragonwriter | 2026-02-05 19:44:46+00:00
> So what exactly is the input to Claude for a multi-turn conversation?

No one (approximately) outside of Anthropic knows since the chat template is applied on the API backend; we only known the shape of the API request. You can get a rough idea of what it might be like from the chat templates published for various open models, but the actual details are opaque.
by zephen | 2026-02-05 19:44:51+00:00
> It's a bit disappointing that people are still re-hashing the same "it's in the training data" old thing from 3 years ago.

They only have to keep reiterating this because people keep lying about this.

> It's not like any LLM could 1for1 regurgitate millions of LoC from any training set... This is not how it works.

Maybe not any old LLM, but Claude sure as shit can.

https://arxiv.org/pdf/2601.02671v1
by shinzo-hiring | 2026-02-05 19:45:43+00:00
Shinzo (https://shinzo.network)| USA/Canada + REMOTE | Multiple Full-Time Roles

We're building the read layer for blockchains. The irony of "trustless" applications depending on centralized indexers like Alchemy or The Graph isn't lost on us—we're fixing it.

Shinzo embeds indexing directly into validators, turning blockchain data into a cryptographically verifiable public good. No trusted intermediaries, no API keys, no "please don't rate limit me" prayers at 2am.

Stack: Go, Rust, WebAssembly, Merkle CRDTs, recursive SNARKs, LibP2P, GraphQL, Cosmos SDK/EVM

Hiring:

-DX Engineer - Indexer Migration - https://bit.ly/3YBwhBn

-Senior Blockchain Indexer Engineer - https://bit.ly/4sHQkLY

-Senior Cross-Chain Smart Contract Engineer - https://bit.ly/49BzJAN

-Protocol Engineer - Blockchain - https://bit.ly/4sDRica

We're pre-mainnet with real technical differentiation—not another "decentralized" project that's actually three EC2 instances in a trench coat. If you've ever been mass-migrated off a deprecated API endpoint or debugged why your subgraph stopped syncing, you understand the problem we're solving. We care more about what you can build than where you went to school.
by u1hcw9nx | 2026-02-05 19:45:50+00:00
Young people who did not know the history of Bill G thought he was a great guy based in his charity work.

- In the early days of Microsoft he attempted to screw his co-founder Paul Allen out of his shares after Allen had treatment for cancer.

- Dirty trick monopolist as a CEO.

- Bully as leader. Admitted it in his memoirs.

- Young female employees were advised to not be alone with him. Was finally removed from Microsoft board after sexual exploits. Same thing continues in his charities.

ps. The whole idea that people you don't know personally can or should be "liked" or "disliked" is idiotic.
VPN Suggestions
by kirtyv | 2026-02-05 19:45:54+00:00
Can anyone suggest a decent VPN service for a family of 4 (2 kids) to protect against malware and not expose IP address? I am kind of new to this and started exploring VPN services only now. So an ELI5 on how to protect oneself and tips for security are much much appreciated.

I am considering Proton VPN (SEO, no other reason). Would love more suggestions. Thanks!
by bonesss | 2026-02-05 19:46:04+00:00
Compare both approaches to mature actor frameworks and they don’t seem to be breaking much ice. These kinds of supervisor trees and hierarchies aren’t new for actor based systems and they’re obvious applications of LLM agents working in concert.

The fact that Anthropic and OpenAI have been going on this long without such orchestration, considering the unavoidable issues of context windows and unreliable self-validation, without matching the basic system maturity you get from a default Akka installation shows us that these leading LLM providers (with more money, tokens, deals, access, and better employees than any of us), are learning in real time. Big chunks of the next gen hype machine wunder-agents are fully realizable with cron and basic actor based scripting. Deterministically, write once run forever, no subscription needed.

Kubernetes for agents is, speaking as a krappy kubernetes admin, not some leap, it’s how I’ve been wiring my local doom-coding agents together. I have a hypothesis that people at Google (who are pretty ok with kubernetes and maybe some LLM stuff), have been there for a minute too.

Good to see them building this out, excited to see whether LLM cluster failures multiply (like repeating bad photocopies), or nullify (“sorry Dave, but we’re not going to help build another Facebook, we’re not supposed to harm humanity and also PHP, so… no.”).