MurphyA/hacker-news huggingface dataset:
by mikemee | 2026-02-05 18:49:13+00:00
In the FWIW department, my (tiny indie games) company shipped several apps based on S7 that ran cross-platform on iOS & Android (together with SQLite). We used native UI, but had a common Scheme S7 core that had the game and database logic. It was marvelous for succinct code, fast running tests and really helped slim down duplication across our previously completely native apps. The "single C file" was critical to our choice, as, like SQLite, it enabled us to easily integrate with the native iOS & Android tooling without setting up byzantine build processes.

We also used Guile during the desktop-based development process for sometimes better debugging and to enforce greater R7RS code-compatibility. (Ah, and the subtle bugs of alternative function parameter evaluation order!)

We later moved to Fennel(-lang) based on Lua as it was a slightly better fit for our team in various ways, but the S7 experience, including the community, was fantastic!

Both solutions proved stable with tens of thousands of monthly active players.
by tosapple | 2026-02-05 18:49:14+00:00
What you say makes sense, just like the true/veracrypt volume theory. I can't find the head post to my "that's why you image post" but what concerns me is differing profiles may have different network fingerprints. You may need to keep signal and bitlocker on both, EVERYTIME my desktop boots a cloud provider is contacted -- it's not very sanitary?

It"s a hard problem to properly set up even on the user end let alone the developer/engineer side but thank you.
by jorl17 | 2026-02-05 18:49:23+00:00
When I first started coding with LLMs, I could show a bug to an LLM and it would start to bugfix it, and very quickly would fall down a path of "I've got it! This is it! No wait, the print command here isn't working because an electron beam was pointed at the computer".

Nowadays, I have often seen LLMs (Opus 4.5) give up on their original ideas and assumptions. Sometimes I tell them what I think the problem is, and they look at it, test it out, and decide I was wrong (and I was).

There are still times where they get stuck on an idea, but they are becoming increasingly rare.

Therefore, think that modern LLMs clearly are already able to question their assumptions and notice when framing is wrong. In fact, they've been invaluable to me in fixing complicated bugs in minutes instead of hours because of how much they tend to question many assumptions and throw out hypotheses. They've helped _me_ question some of my assumptions.

They're inconsistent, but they have been doing this. Even to my surprise.
by mothballed | 2026-02-05 18:49:49+00:00
You don't get MS-13 in the kind of operations that the populace have been protesting. If people are showing up with whistles and megaphones you have lost the element of surprise by such a long-shot what you are basically are getting are people who have to be there to wait for their kids to get back from school, or are sticking around because they need to go to their regular doctor appointment.

If they were getting gang members the protests would be useless because tactically they would be in and out every time before anyone could protest their operations.
by sam_lowry_ | 2026-02-05 18:49:59+00:00
It's good to start somewhere, but as a reminder, it's the same European Commission that:

1. runs on Microsoft software that it buys from Fujitsu UK that HN crowd knows from the UK Post scandal

2. Has multi-billion euro digital initiatives and a puny single-instance public Gitlab with a handful of shamefully incomplete "projects".

3. Tells everyone that they have their own AI helpers while actually renting LLMs from Azure.
by Davidzheng | 2026-02-05 18:50:48+00:00
"post-training shaping the models behavior" it seems from your wording that you find it not that dramatic. I rather find the fact that RL on novel environments providing steady improvements after base-model an incredibly bullish signal on future AI improvements. I also believe that the capability increase are transferring to other domains (or at least covers enough domains) that it represents a real rise in intelligence in the human sense (when measured in capabilities - not necessarily innate learning ability)
by doubled112 | 2026-02-05 18:51:31+00:00
Yes, I remember when Netflix was going to "save" us all from the cable company.

When there is only one streaming service, being subscribed to that streaming service means you get everything. Now there are 15 different ones to choose from, each licensed to show a different set of content.

Watching NHL hockey in Canada is a strange situation right now, but I'm not sure how it compares to the original cable situation.
by vbezhenar | 2026-02-05 18:52:07+00:00
It is bad application architecture. Database work should be concentrated in minimal transactional units and connection should be released between these units. All data should be prepared before unit start and additional processing should take place after transaction ended. Using long transactions will cause locks, even deadlocks and generally should be avoided. That's my experience at least. Sometimes business transaction should be split into several database transaction.
by alex43578 | 2026-02-05 18:52:18+00:00
If everything is the same (codec, bitrate, etc), 1080P will look better in anything but a completely static scene because of less blocking/artifacts.

But that’s an unrealistic comparison, because 4K often gets a better bitrate, more advanced codec, etc. If the 4K and 1080P source are both “good”, 4K will look better.
by reaperducer | 2026-02-05 18:52:38+00:00
I've always wondered if her initiative, which caused some big food companies to reduce fat and salt in their products, and change their frying media, is the reason for the rise of Sriracha in America.

My theory is that the food tasted less flavorful, so people compensated by adding their own.

I don't eat a lot of junk food, but for a long time after the Obama administration, when I did partake, often my immediate reaction was "Wow. These aren't as tasty as I remember."

/I'm looking at you, Cool Ranch Doritos.
by deeth_starr_v | 2026-02-05 18:53:15+00:00
The 1password blog links to a better Cyberinsider.com article that I think covers the issue better. One suggestion from that article is to check the skill before using (this felt like a plug for Koi security). I suppose you could have a claude.md to always do this but I personally would be manually checking any skill if I was still using Moltbot.

https://clawdex.koi.security/
by behringer | 2026-02-05 18:53:16+00:00
That's because we do feel entitled to it. This century is the first in human history where people in power have decided that once something is created it's IP that belongs to the creator for well over a hundred years and maybe even forever.

Frankly, IP should last 7 years, 14 at the most.

Why are we paying for Alf year after year, decade after decade?

Why are we required to pay for stuff while also being advertised to and having our data sold?

Now when you do buy something, you're buying a revokable license you can't even buy it and own it.

We'll if buying isn't ownership, then pirating it isn't stealing it. Plain and simple.
by Snuggly73 | 2026-02-05 18:53:23+00:00
it has been pretty much a benchmark for memorization for a while. there is a paper on the subject somewhere.

swe bench pro public is newer, but its not live, so it will get slowly memorized as well. the private dataset is more interesting, as are the results there:

https://scale.com/leaderboard/swe_bench_pro_private
by Der_Einzige | 2026-02-05 18:53:24+00:00
Anyone paying attention has known that demand for all type of compute than can run LLMs (i.e. GPUs, TPUs, hell even CPUs) was about to blow up, and will remain extremely large for years to come.

It's just HN that's full of "I hate AI" or wrong contrarian types who refuse to acknowledge this. They will fail to reap what they didn't sow and will starve in this brave new world.
Why my "metric-free" social network failed and became a toxic void
by mekod | 2026-02-05 18:53:50+00:00
I recently saw a viral video listing "startup ideas that don't exist," and one was a social media platform without metrics (no likes, no followers, no counts) to fix social anxiety.

I’ve actually built this before. I had the same hypothesis: if we remove the dopamine-chasing metrics, people will engage in pure, meaningful conversation.

I was wrong. Here is what happened:

The 4chan Effect: Without the "social guardrails" that metrics provide (even if they are toxic), people didn't become more thoughtful; they became more chaotic. Without a sense of "reputation" or "public standing," the content quickly devolved into nonsense and 4chan-style toxicity.

The Vacuum of Value: Users didn't know what was "good." In a world with no metrics, everything has the same weight. It turns out humans need some form of social proof to navigate information.

The Engagement Paradox: People complain about metrics, but they don't know how to interact without them. Content creators stopped posting because there was no feedback loop.

The project is now forgotten and dead. I realized that you can't just remove the "bad" parts of human nature by deleting a few lines of code (like 'likes' or 'shares'). You just create a vacuum that gets filled by something worse.

Has anyone else tried building "calm tech" and faced this "reputation-free" chaos?
by OsrsNeedsf2P | 2026-02-05 18:54:17+00:00
I like your name, it suggests you're here for a good debate.

Let me start by conceding on the company value front; they should not have such value. I will also concede that these models lower your value of labor and quality of craft.

But what they give in return is the ability to scale your engineering impact to new highs - Talented engineers know which implementation patterns work better, how to build debuggable and growable systems. While each file in the code may be "worse" (by whichever metric you choose), the final product has more scope and faster delivery. You can likewise choose to hone in the scope and increase quality, if that's your angle.

LLMs aren't a blanket improvement - They come with tradeoffs.
by antiframe | 2026-02-05 18:54:18+00:00
"No one bats an eye" is a weird take when the Federal Government, via the Department of Health and Human Services, has literally just declared war on added sugar. [1] Also, lots of people have already changed their diets [2] regarded added sugar.

Sugar has been vilified for longer and more vociferously than social media use by kids, but that may be changing now.

[1]: https://www.latimes.com/science/story/2026-01-07/trump-admin...

[2]: https://ajcn.nutrition.org/article/S0002-9165(23)02461-9/pdf
by _tk_ | 2026-02-05 18:54:30+00:00
The system card unfortunately only refers to this [0] blog post and doesn't go into any more detail. In the blog post Anthropic researchers claim: "So far, we've found and validated more than 500 high-severity vulnerabilities".

The three examples given include two Buffer Overflows which could very well be cherrypicked. It's hard to evaluate if these vulns are actually "hard to find". I'd be interested to see the full list of CVEs and CVSS ratings to actually get an idea how good these findings are.

Given the bogus claims [1] around GenAI and security, we should be very skeptical around these news.

[0] https://red.anthropic.com/2026/zero-days/

[1] https://doublepulsar.com/cyberslop-meet-the-new-threat-actor...
by __mharrison__ | 2026-02-05 18:54:49+00:00
I never really used Codex (found it to slow) just 5.2, which I going to be an excellent model for my work. This looks like another step up.

This week, I'm all local though, playing with opencode and running qwen3 coder next on my little spark machine. With the way these local models are progressing, I might move all my llm work locally.
by rsanek | 2026-02-05 18:54:52+00:00
Some recent examples:

GPT-4o vs. Google I/O (May 2024): OpenAI scheduled its "Spring Update" exactly 24 hours before Google’s biggest event of the year, Google I/O. They launched GPT-4o voice mode.

Sora vs. Gemini 1.5 Pro (Feb 2024): Just two hours after Google announced its breakthrough Gemini 1.5 Pro model, Sam Altman tweeted the reveal of Sora (text-to-video).

ChatGPT Enterprise vs. Google Cloud Next (Aug 2023): As Google began its major conference focused on selling AI to businesses, OpenAI announced ChatGPT Enterprise.
by sathish316 | 2026-02-05 18:55:25+00:00
You can run an ensemble of LLMs (Opus, Gemini, Codex) in Claude Code Router via OpenRouter or any Agent CLI that supports Subagents and not tied to a single LLM like Opencode. I have an example of this in a coding-agent orchestrator I built called Pied-Piper, which uses a sub-agent workflow with distinct model roles:

1. GPT-5.2 Codex Max for planning

2. Opus 4.5 for implementation

3. Gemini for reviews

It’s easy to swap models or change responsibilities. Doc and steps here:
https://github.com/sathish316/pied-piper/blob/main/docs/play...
by alexgieg | 2026-02-05 18:55:42+00:00
Could you point to any center-right policy (what Americans call "the left") that attempts to force straight people to submit and go through gender operations?

See, that's the core difference. One side wants to leave people free to do as they please. The other side wants to control what the first does.

Yes, there are exceptions, on both sides. But they're this, exceptions.
by adolph | 2026-02-05 18:55:47+00:00
> certificate authority logs, which are actively monitored by vulnerability scanners

That sounds like a large kick-me sign taped to every new service. Reading how certificate transparency (CT) works leads me to think that there was a missed opportunity to publish hashes to the logs instead of the actual certificate data. That way a browser performing a certificate check can verify in CT, but a spammer can't monitor CT for new domains.

https://certificate.transparency.dev/howctworks/
by itay-maman | 2026-02-05 18:56:16+00:00
Something that caught my eye from the announcement:

> GPT‑5.3‑Codex is our first model that was instrumental in creating itself. The Codex team used early versions to debug its own training

I'm happy to see the Codex team moving to this kind of dogfooding. I think this was critical for Claude Code to achieve its momentum.
by reaperducer | 2026-02-05 18:56:22+00:00
The way I read it, he takes issue with your assertion that "nobody bats an eye" at sugar in Coke.

This is quite the opposite of everything I've ever seen in my entire life in America.

Or perhaps since you mention sugar, not corn syrup, and list quantities in kilograms not pounds or tons, he suspects you may not actually have first-hand experience with this.
by alexhans | 2026-02-05 18:56:45+00:00
Isn't the best eval the one you build yourself, for your own use cases and value production?

I encourage people to try. You can even timebox it and come up with some simple things that might look initially insufficient but that discomfort is actually a sign that there's something there. Very similar to moving from not having unit/integration tests for design or regression and starting to have them.
by MisterTea | 2026-02-05 18:57:10+00:00
Live TV streaming such as Youtube TV is just cable TV packaged as an internet streaming service which costs something like $80 USD per month. In addition you have a $10-20+ Netflix subscription, Disney+/Hulu, Paramount, HBO etc. All that on top of your $50-$100+/month internet service. I know people spending over 250/month on multiple streaming services.
by nja | 2026-02-05 18:57:15+00:00
And even for their older cars, most parts have gone NLA (no longer available), sending prices through the roof if you can find them at all! At least Porsche and Mercedes have programs to manufacture new parts for their old cars...

(My E39 M5 was one of the last user-repairable BMWs, but it's getting very expensive. On the other hand, it's driving a significant market for regular people designing and building replacement parts, whether 3D-printed, CNC'd, or homemade)
by satisfice | 2026-02-05 18:57:22+00:00
This article is not terrible, but it is yet another article about listening that treats it as the direct exchange of information rather than as one dynamic in the embodiment of a relationship.

If you “talk about yourself” by sharing a similar problem, that is called commiseration. This can be a comforting move because it doesn’t put pressure on the other person to respond, yet implicitly expresses that you understand the feeling (assuming you are choosing a good example from your own life to share).

The particular technique of responding doesn’t matter as much as establishing the kind of relationship where either side can assert themselves as needed, and feels that the other side will let them. That way, the person who feels more need gets what they need.

My wife and I are coming up on our 35th anniversary. She’s very quiet and I am loud, so I have to force myself to leave a lot of space for her to assert herself (this has become easier over time, partly because I know that she will always give me what I need in the end, so suppressing myself never feels like a penalty).

I like the technique suggested in this post (draw her out by asking inviting questions about her situation). I only object to labeling the sharing of oneself as “egocentric.” In a loving relationship, your ego automatically serves your love-sworn. Offering of yourself can be exactly what she wants.
by ares623 | 2026-02-05 18:57:37+00:00
Problem is that social media doesn’t have negative connotations like guns/alcohol/drugs do. That makes it hard or impossible for individual parents to restrict it. They are perceived as crazy or paranoid or controlling. Plus if their child does opt out of social media, they become a social outcast from their peers who are still on it, which is a worse outcome for the child.

It almost sounds like multiple parents from a large number of households need to collectively act in unison to address the problem effectively. Hmm collective action, that sounds familiar. I wonder if there’s a way to enforce such a collective action?

To be clear, I do agree that putting the ban on the software/platform side is the wrong approach. The ban should be on the physical hardware, similar to how guns/alcohol/tobacco which are all physical objects. But I don’t have the luxury to let perfect be the enemy of close enough.
by M4R5H4LL | 2026-02-05 18:58:07+00:00
From an economic standpoint this is basically machines doing work humans used to do. We’ve already gone through this many times. We built machines that can make stuff orders of magnitude faster than humans, and nobody really argues we should preserve obsolete tools and techniques as a valued human craft. Obviously automation messes with jobs and identity for some people, but historically a large chunk of human labor just gets automated as the tech gets better. So I feel that arguing about whether automation is good or bad in the abstract is a bit beside the point. The more interesting question imho is how people and companies adapt to it, because it’s probably going to happen either way.
by shimman | 2026-02-05 18:58:18+00:00
People are mad because the government bailed out banks over people, the last time this happened FDR bailed out people over the banks.

If you can't understand why people are angry that the government continues to give away large amounts of corporate welfare without protecting people, then I'd definitely read up on people movements because a few are brewing across the country and all of them want blood.
by slg | 2026-02-05 18:58:22+00:00
>What changed is the number of people who decided they were ok with dismantling institutions. That grew by about 7 million, who voted for the opponent in 2020 but stayed home in 2024.

How do you know this? How can you say the deciding factor was dismantling institutions rather than inflation, Palestine, misogyny against a female candidate, or any number of countless other good or bad reasons to have stayed home? You can't treat a single binary choice for red or blue like it was a referendum on every single individual issue.
by nikcub | 2026-02-05 18:58:33+00:00
I use opus for coding and codex for views. I trigger the reviews in each work task with a review skill that calls out to codex[0]

I don't need anything more complicated than that and it works fine - also run greptile[1] on PR's

[0] https://github.com/nc9/skills/tree/main/review

[1] https://www.greptile.com/
by kjkjadksj | 2026-02-05 18:58:45+00:00
I think it is hard to fully remove religious practice from species. I think it exist along a spectrum and that there are base ritualistic behaviors most animals engage with (e.g. a pets ritual around eating or play), organized social order sort of rituals (e.g. birds expecting a particular mating dance performed well and this sensibility shared among the local group of birds), and finally what we observe in our own development as a species, higher religion, but that is merely iteratively developed from layering these simple behaviors onto simple behaviors until the whole is quite elaborate in fact.

In that sense I think getting caught up in “religion bad for tech” zeitgeist misses the point of what religion actually is. Collectively shared ritual. Belief in God, and specific shades of that, is just the step of the dance the bird does in this case. Taking a step back, plenty of atheists engage in collectively shared ritual too. Belief in the 9-5, the bludgeon that is the four years to specialize vs lifelong apprentanceships towards true mastery, economics constraining choice rather than pure skill. Do these rituals not also hold our species and technological development back? If we talk about religion, it is worth also considering the mountain of other blockers towards progress we have built for ourselves in this collectively agreed upon daily society ritual we all partake upon.
by dogleash | 2026-02-05 19:00:58+00:00
>a failure of management to extract this knowledge from employees

I semi-frequently support a legacy project I no longer work on. But I was around from the beginning. The management brain fantasy is that I selfishly didn't write evergreen documentation that can walk a product manager through anything that might arise.

But it does exists. I have a 700+ page tome about the subject matter within arms reach (728, just checked), access to the wiki, the code, and the issue tracker. They choose to pay for me to read and explain the things they could look up.

Only in the most pedantic definitions of "tribal" knowledge does it truly mean the far left of the documentation quality bell curve. It's expertise needed to recall and synthesize on the topic rather that start a document spelunking investigation and learning.
by aurareturn | 2026-02-05 19:01:00+00:00
I feel like the models are already smart enough to be called something like an early version of AGI. It's the tooling around it that needs to improve.

For example, Codex/Claude should be able to code and "see" its changes. If it's developing a mobile app, it should be able to view the real app it's building and then make changes. If it's a website, it should see the changes being rendered and then make further changes if needed.

The tooling is well behind model intelligence.