MurphyA/hacker-news huggingface dataset:
by hubraumhugo | 2026-01-29 08:33:02+00:00
I recently met a European space startup founder and was surprised to learn how much space innovation is happening in Europe with ESA. Europe wants to become less depended on SpaceX and NASA, and is heavily investing there. More funding + strong aerospace programs at universities like TU Munich has led to companies like ISAR Aerospace (SpaceX competitor), which is great to see.
by darkwater | 2026-01-29 08:33:59+00:00
> None the less, said literal Dark Factory that actually exists, in the real world, is still owned by the corporation that built it. The robots did not take over, the government did not seize it.

It's probably worth pointing out that hardware and software are two completely different things. At least until the day we have robots that can create and put to work other robots with 0 or minimal human intervention.
by vtail | 2026-01-29 08:34:02+00:00
Thanks, these are fair arguments!

Re: both 3 and 4(c) - agree that compute (or maybe even power for that compute) is likely to be a bottleneck in the next 3-5 years. However, I think Tesla/xAI are better positioned than many competitors as Tesla is a manufacturing company first and foremost; and this expertise (which is shared freely between Musk's companies) can help it to build it's own data centers, power generation (e.g., solar), or - in the most bullish case - even fab capacity.
by avadodin | 2026-01-29 08:34:24+00:00
llama.cpp being the best choice doesn't make it popular.

When I got started, I was led to ollama and other local-llm freemium.

I didn't necessarily assume that they weren't c++(I don't even know) but I do think that –as implied– Python duct-tape solutions are more popular than llama.cpp.
by jackfranklyn | 2026-01-29 08:34:33+00:00
I've been using AI assistance on a ~30k LOC production codebase. My take: the "vibe coding" framing is misleading because it implies two modes - understand everything or understand nothing.

What actually happens is tiered understanding. I might vibe-code a utility function (don't care about implementation, just that it works), but I need to deeply understand data flow and business logic boundaries.

The 20k LOC weekend SaaS stories are real but missing context. Either the person has deep domain knowledge (knows WHAT to build, AI helps with HOW), or it's mostly boilerplate with thin business logic.

For complex systems, the testing point is key. AI generates code faster than you can verify behaviour. The bottleneck shifts from "writing code" to "specifying behaviour precisely enough that you know when it's right". That part isn't going away.

The people I see struggling aren't the ones who don't understand their code - it's the ones who don't understand their requirements.
by JuniperMesos | 2026-01-29 08:35:01+00:00
> Do you think the protests leading to escalations were done simply? Or BECAUSE of the awful implementation? (Masks, no IDs, no accountability, no body cameras, etc.)

Yes, I think there would've been massive protests against the US federal government doing anything at all to be effective at deporting illegal immigrants. Significant numbers of ideologically-dedicated people think that not allowing foreigners to immigrate to the US or deporting foreigners who have illegally immigrated is an immoral, Nazi-equivalent policy that they have a moral obligation to disrupt. The masks and other shows of force from federal immigration enforcement are a reaction to the protests designed to keep individual ICE agents safe and effective; and to demonstrate to illegal immigrants that the federal government is serious about deporting them, violently if necessary, in order to try to incentivize them to leave voluntarily.

> Otherwise it reads like DARVO tactics. If we were talking about a relationship it sounds like -- Person A emotionally abuses Person B to the point of person B pushing back, and then Person A using the fact that Person B reacted (perhaps adversely) as justification for even more emotional abuse.

We're not talking about an interpersonal relationship, we're talking about mass political actions and the authority of national-scale governments.
by qingcharles | 2026-01-29 08:35:04+00:00
My biggest project (in LOCs) is 100% AI written and I've given up reviewing the code on it. Huge web-based content management system with a native desktop app companion. It's worked flawlessly 24/7 for the last couple of months. I add a new feature every week or so, but I just do the code-as-English dance now and test what comes out. It's almost exclusively all Gemini 3 Pro and Opus 4.5. I've gone fully dark on that project.

I have other projects where I review almost every line, but everything is edging towards the dark side.

I've been coding for 40 years in every language you can think of. Glad that's over, honestly. It always got in the way of turning an idea into a product.
by Zababa | 2026-01-29 08:35:04+00:00
>E.g. gemini-3-pro tops the lmarena text chart today at 1488 vs 1346 for gpt-4o-2024-05-13. That's a win rate of 70% (where 50% is equal chance of winning) over 1.5 years. Meanwhile, even the open weights stuff OpenAI gave away last summer scores between the two.

I think in that specific case that says more about LMArena than about the newer models. Remember that GPT 4o was so specifically loved by people that when GPT 5 replaced there was lots of backlash against OpenAI.

One of the popular benchmarks right now is METR which shows some real improvement with newer models, like Opus 4.5. Another way of getting data is anecdotes, lots of people are really impressed with Opus 4.5 and Codex 5.2 (but they're hard distangle from people getting better with those tools, the scaffolding (Claude code, Codex) getting better, and lots of other stuff). SWEBench is still not saturated (less than 75% I think).
by orthoxerox | 2026-01-29 08:36:09+00:00
I would put all bars at the top. On a touch-enabled screen it's much easier to touch something at the top than something next to the keyboard, so I move the taskbar to the top on all my Windows two-in-ones.

Shout out to https://github.com/valinet/ExplorerPatcher for forcing this behavior even on Windows 11.
by locknitpicker | 2026-01-29 08:36:30+00:00
> Kinda, yeah.

You must be talking about an entirely different Hungary, because the one in the EU is described as "an ailing economy in Europe".

https://www.lemonde.fr/en/economy/article/2025/08/18/hungary...

Academic papers on Hungary's recent history report a clear negative impact of Hungary's illiberal regime.

https://www.sciencedirect.com/science/article/pii/S266731932...
by pjmlp | 2026-01-29 08:36:55+00:00
Just like any other kind of certifications in the same domain.

Want to use enterprise product XYZ?

Need to have at least X amount of certified employees to reach the basic layer, additional certifications for the next layers.

The kind of support tickets, documentation and trainings available depend on the certification levels, and by the way they have to be renewed every couple of years.

However it is how the ball rolls in certain industries, and rebeling against it won't win anything, better switch jobs for those anti-certifications.
by altacc | 2026-01-29 08:37:04+00:00
I think you're right that the ambitions in Europe are smaller and I'd say more likely healthier for those involved and maybe the world in general. I have spent some time working in a start up hub in Scandinavia and there was the usual talk of innovation, disruption, work hard, etc... but by 4:30 the offices were empty and people had gone home to their families. Work life balance still came first.
by ulfw | 2026-01-29 08:37:43+00:00
Tesla's Full Self-Driving (FSD) is officially classified as a Level 2 advanced driver-assistance system (ADAS). Despite its advanced capabilities, it requires the human driver to remain fully attentive, monitor the environment, and be ready to take control immediately.

So it's literally nothing special compared to other manufacturers. I am happy to argue that's it's a better Level 2 than most others, sure. But it's still just that. No magic, no bullshitty "by 2017 the car will drive itself from New York to Los Angeles". No it hasn't and no it won't.
by drorco | 2026-01-29 08:38:13+00:00
> I cannot understand this conclusion at all. Why should the structural relationship to other species be reflected within the species itself?

It's all an interpretation, never claimed it to be anything beyond a thinking model I like.

> To me, that doesn't sound like an observation, but rather an interpretation. We could apply various epistemological carpet beaters to see what remains. One would be the critique of ideology. A few others can be found in the philosophy of science. It also seems to contradict your reference to thermodynamics. Wouldn't that mean that personality traits don't play a role at all? We don't look at individual particles, and certainly not at their personality traits.

No we don't, but I don't think it's necessarily because we don't want to, but because we often can't. Nevertheless, I think my rationale still applies. For example, if you take a bunch of matter, for example water, you'd find out that the distribution of Deuterium and definitely Tritium is really "unfair". Why only so few particles get to have that extra neutron and others do not?

> I cannot understand this conclusion at all. Why should the structural relationship to other species be reflected within the species itself?

It doesn't necessarily have to but:
1. It seems to have been very favorable trait evolutionally to force your will on other species. I'm no brain nor social expert but it seems to me that in order to stop this trait internally, there would need to be some pretty strong inhibitors to counter that.
2. Regardless of the species claim, you can see the pattern of exceptional individuals with disproportionate influence in many other places in nature: queen bees, pack leaders, and human kings of sorts. in I think practically every culture on earth in recorded history?

I really struggle to think of any mass systems, in human society or nature in which power is not distributed disproportionally to a relatively small portion of individuals.
by mrighele | 2026-01-29 08:38:28+00:00
So you need to buy a phone, a monitor, a keyboard and a mouse. And you need a desk where to put the stuff, which is not a given if you are part of a poor family with several kids.

A cheap android phone and a cheap chinese laptop with 16GB of ram is about 300 EUR where I live, and you can use it wherever you want.
by StopDisinfo910 | 2026-01-29 08:38:43+00:00
Easy to be angry but I won't comment until I see what exactly was delivered. These projects often have a lot of extra.

Just the development would be expensive but if they also worked on scoping and framing the platform, aligning multiple stakeholders (yes, even just linking outside courses mean you might have to interact with other parts of government or providers) and defining the long term vision and plan, it can get expensive pretty quickly.

Doing anything with the government is a pain. It's even worse than working in a large company. You get paid very late. You have annoying contractual provisions. It makes everything very expensive.
by lwhi | 2026-01-29 08:38:52+00:00
And that's just it. Vampiric.

The fact that a huge amount of money is extracted from the UK government for no (or very little value) is a crying shame.

I know multiple people who work as consultants (hired via private agencies, paid for by Government) who have literally done nothing for six months plus.

They have no incentive to whistleblow, the agency employing them has no incentive to get rid of them as they take a cut, and then government department hiring them is non-the-wiser because they have no technical knowledge or understanding of what's being carried out.

It should be the scandal of the decade.
by ben_w | 2026-01-29 08:39:13+00:00
Indeed, but the output of LLMs today for these kinds of task are akin to a junior product designer, a junior project manager, a junior software architect etc.

For those of us who are merely amateur at any given task, LLMs raising us to "junior" is absolutely an improvement. But just as it's possible to be a better coder than an LLM, if you're a good PM or QA or UI/UX designer, you're not obsolete yet.
by sinnsro | 2026-01-29 08:39:26+00:00
Another outstanding decision vetted by Tim Cook.

In all seriousness, finance people see everything through the lens of margins and money primarily. Since any company's function is to deliver value to its shareholders, if allowed, bean counters will scorch the earth for it.

Ultimately, this is at odds on how Jobs approached things, i.e., money was not the end all be all.
by tcherasaro | 2026-01-29 08:39:27+00:00
Yes, I have 2 candidates so far:
- A 7-inch OLED (that's 1920 by 1080)
- A much cheaper but still nice IPS display. Again, 7-inch
I'm not sure where I'm going with this yet, but if other people want one, I want to have some flexibility in the specs and pricing for people to select from.

I've been meaning to make a post about this on X for some time, so I went ahead and did it tonight. If you want to head over there and see the renders of what I'm thinking: https://x.com/TroyCherasaro/status/2016767340457980403
by 3rodents | 2026-01-29 08:40:24+00:00
You could not possibly compare Sydney and London, they are very different. London is a bustling diverse city, Sydney is a nice (big) town. Sydney is a great place, and London is far from perfect but they are not in the same conversation. They are different.

The Global Liveability Index is, essentially, highlighting the most middle of the road cities. London (as with New York) has huge disparities and that guarantees it will never rank well on the Global Liveability Index. The people who choose to live in London and love London (as with the people who choose to live in New York and love New York) do not choose it because it is average.

I have lived in London and Sydney and many other cities. I have fallen out of love with London. I would rather live in Sydney than London. I still cannot imagine ever describing Sydney as a better city than London. Just as I can't imagine describing Copenhagen better than London.

Healthcare in London is world class. A city is crowded. The weather is very average for Europe.

People from Sydney who move to London come to hate it, once the novelty wears off, just as they would with New York, because the Australian way of life is very different. Sydney is closer to island life than city life.

Even with London's ongoing decline due to the U.K's inexplicable self sabotage, it still has something to offer.
by barrenko | 2026-01-29 08:40:44+00:00
All good when it's really like that and a) not a cope b) due to the risk profile VCs/bigger financial players in the small local swamp just eating up cool companies and founder potential for pennies.

A local belgian startup just got acquired, and I was hyped, but then I realized at what price, and honestly it just seems like a waste of time for the whole team, maybe even including the founders, I think the amount is 1000x less than what a US product would faire.
by pigon1002 | 2026-01-29 08:40:52+00:00
For me, this isn’t just a curiosity—it’s a question of whether I need to completely change the way I work. Given the same conditions, I’d rather revisit the domain knowledge and get better at instructing AI than write everything by hand.
Outside the areas AI struggles with or really deep domain expertise, I feel like comparing productivity just doesn’t make sense anymore.
by Zababa | 2026-01-29 08:41:07+00:00
>To get to the point of executing a successful training run like that, you have to count every failed experiment and experiment that gets you to the final training run.

I get the sentiment, but then, do you count all the other experiments that were done by that company before specifically trying to train this model? All the experiments done by people in that company at other companies? Since they rely on that experience to train models.

You could say "count everything that has been done since the last model release", but then for the same amount of effort/GPU, if you release 3 models does that divide each model cost by 3?

Genuinely curious in how you think about this, I think saying "the model cost is the final training run" is fine as it seems standard ever since DeepSeek V3, but I'd be interested if you have alternatives. Possibly "actually don't even talk about model cost as it will always be misleading and you can never really spend the same amount of money to get the same model"?
by peyton | 2026-01-29 08:41:13+00:00
I was curious but it’s surprisingly hard to find info. These guys [1] are pretty stoked about “nowcasting”—which seems to be on sub-10-minute timescales to issue local severe weather warnings and such. It appears current sounders don’t scan as often.

This project ppt from 2011 [2] references different requirements for different areas/teams and shows the instrument spits out readings at 150 Mbit/s, which seems like a good clip. Overall it sounds like a lot of local knowledge is involved in turning this output into forecasts. Maybe there’s not a precise answer to your question.

Somebody else must know more.

[1]: https://www.eumetsat.int/features/think-global-act-local

[2]: https://www.researchgate.net/profile/Donny-Aminou/publicatio...
by barry-cotter | 2026-01-29 08:41:13+00:00
> In the nineteenth century, cities grew quickly. Between 1800 and 1914, the population of Berlin’s metropolitan area grew twenty times, Manchester’s twenty-five times, and New York’s a hundred times. Sydney’s population grew around 240 times and Toronto’s maybe 1,700 times. Between 1833 and 1900, Chicago’s population grew around five thousand times, meaning that on average it doubled every five years.

> Raw population growth understates the speed of expansion. The number of people per home fell, and, in Britain and America, the size of the average home roughly doubled. At the same time, those homes fit on a smaller share of land, with huge swaths given over to boulevards, parks and railways. The expansion in surface area was thus often several times greater than the expansion in raw population. Meanwhile, real house prices remained flat, while incomes doubled or tripled, generating a huge improvement in housing affordability. Far more people were enjoying far larger homes for a far smaller share of their income.
by soganess | 2026-01-29 08:41:28+00:00
https://en.wikipedia.org/wiki/Bisan_Owda

Sounds like a real monster... wait... nvm.

In all seriousness, I don't know a ton about her, but, if her Wikipedia is to be believed, the only thing she is guilty of is being a little "Leave Brittney Alone" extra while living through a genocide:

https://www.youtube.com/watch?v=nuTV6hrjQW8

But maybe there is another side to her posting that isn't available from a terse search?
by pjmlp | 2026-01-29 08:42:02+00:00
I never get the single threaded assertions regarding CPU performance, it is mostly useless in the day of premptive scheduling in modern OSes.

Yes it matters on MS-DOS like OS design, like some embedded deployments and that is about it.

It is even impossible to guarantee a process doesn't get rescheduled into another CPU with the performance impact it entails, unless the process explicitly sets its CPU affinity.
by saubeidl | 2026-01-29 08:42:08+00:00
Europe is behind in launchers, but the stuff they send up is top-notch.

Euclid, the latest ESA telescope is particularly mind-blowing, capturing a third of the visible sky in incredible detail.

Check out this update video, it's insane how they can zoom in on stuff: https://youtube.com/watch?v=rXCBFlIpvfQ
by otherme123 | 2026-01-29 08:42:14+00:00
Last time I answer you, because at this point you are acting in bad faith:

Telefónica Audiovisual Digital SLU is suing, among others, TELEFÓNICA ESPAÑA S.A.U and TELEFÓNICA MÓVILES ESPAÑA S.A.U.. What do you think is going on there? Come on, you don't even have to be that smart: they are suing themselves to get a judge order that allows them to block the IPs. In fact, some of them are eagerly waiting for the judge permission to click the ban button the next second.

> You are getting this wrong. The judge isn't acting on their on initiative here, but because La Liga (together with Movistar+) sued the biggest ISPs in Spain.

The nerve you have. This is exactly what I was saying from the beginning: the ban is not something that comes from the state or the government. The ban is something that the ISPs are asking for, they would love to be able to do it legally without a judge intervention, but they need to get the OK from a jugde. In fact, Movistar/Telefonica never acknowleged the ban and claim technical difficulties, in fear of losing clients to ISPs that are not so aggresive banning the IPs.

The discussion here was if there are parallelisms between the Iran Internet blackout (state initiated and enforced) and Spain banning some Internet IPs during football matches due to piracy (private companies initiating and enforcing on their users), because some of you were painting Spain as some kind of 1984 state.

Your last part is FUD, and a slippery slope fallacy. There are ways to refuse to comply, for example not banning the IPs and then claiming technical difficulties to do so. In fact, that was what were doing all the ISPs that were requested at first to ban Cloudflare IPs: delay the ban for a couple of hours, the football match ended, and they did nothing claiming it was impossible to comply. No one was locked, forced to comply or summarily (you are not using this word correctly, because it means "without trial") executed. Week after week, they are not issuing the IP banning, and they still safe and sound.
by pjmlp | 2026-01-29 08:42:53+00:00
Eventually, but it wasn't first class, rather to port UNIX software into VMS.

Just like MS-DOS had plenty of C compilers to chose from, while it was actually written in Assembly, and most folks were programming in Turbo and Quick Pascal, Turbo and Quick BASIC, Clipper,...

Hardly the same kind of C for everything like on UNIX.
by spencermarx | 2026-01-29 08:43:03+00:00
Been working with spec-driven development since it first emerged (OpenSpec fan), and kept running into the same gap: specs get written, AI writes the code, but validating the implementation against the spec is still a manual slog.

So I put together a tool that runs multi-agent code reviews inside agentic AI environments (Claude Code, Cursor, Windsurf, etc).

The idea is simple – instead of one reviewer, you get a few different perspectives, modeled after common engineering teams: someone thinking architecturally, someone focused on code quality, another with security expertise, a QA engineer paying close attention to testing. They review changes independently, then discuss before synthesizing feedback. You can also configure custom reviewers and adjust redundancy if you want multiple sub-agents for a given role.

I originally built it to complement SDD tools like OpenSpec, but it drops into any codebase within an agentic environment (agentic IDE or agentic terminal).

My team has been running it against some larger codebases (~500k lines) and it's been genuinely useful – not as a replacement for human review, but as a way to catch things earlier. No doubt it has already saved us quite a bit of time.
```bash npx @open-code-review/cli init /ocr-review ```

Works as a pre-push sanity check or wired into CI.

Though warning: your token expenditure WILL increase, especially if you ramp up the number of reviewer types or their redundancy configs.

That said, curious what others think – is this useful? What's missing?

Happy to hear feedback or ideas.

https://github.com/spencermarx/open-code-review