skysight-inc/HackerNews huggingface dataset:
Some editors want to simplify everything a lot. I can heard the hypothetical editor in this case: "aerobic life" -> "what's aerobic? Too complicated Joe. I'm gonna red-pen it. Write just 'life'. See? Better, right? Now, Joe, does everybody know that organisms are clumps of church organs? Maybe you want to put a footnote somewhere?"
What anti-technology attitude do you see?
Finally! At least one parliament wants to invest in local technology and give the region a fair chance, rather than going with the (today) technically superior hyperscalers.
There's no discussion that e.g. Azure solves a lot of problems that EU clouds don't solve today, but diversifying some bets to a local market will definitely pay dividends in terms of local economy and knowledge growth. I hope it pays off.
Spoiler: it will get worse.
Manufacturing is quitting Europe.
(chemical, auto, metal)
Yea, someone can say, “Look, we have just created the first color computer and it displays images. Look at this first ever real life photo on this digital screen!” There will always be the people who ask, “Yeah, but does it run Photoshop?”
This article is garbage from the get-go.

"long-established view that life was made possible ..."

My understanding is that the consensus view is now that life began either in the deep sea or was transported here from another planet.
This is so fascinating. I would totally read it if you expanded this into a full blog article on your specific experience at the time.
In usage yes, in analysis yes but not in general popularity.

And to Rust ... definitely. Rust is a niche product for system development. A very good one. A very popular one. But nothing you need for your day to day microservice.
If you’re concerned with maintaining any kind of free market, corruption is always a cause for concern.
Hopefully this will also be a push for public sponsored open source / free software dev.
Along these lines one model that might help is to consider LLMs 'wikipedia of all possible correct articles'. Start with Wikipedia and assume (already a tricky proposition!) that it's perfectly correct. Then, begin resynthesizing articles based on what's already there. Do your made-up articles have correctness?

I'm going to guess that sometimes they will: driven onto areas where there's no existing article, some of the time you'll get made-up stuff that follows the existing shapes of correct articles and produces articles that upon investigation will turn out to be correct. You'll also reproduce existing articles: in the world of creating art, you're just ripping them off, but in the world of Wikipedia articles you're repeating a correct thing (or the closest facsimile that process can produce)

When you get into articles on exceptions or new discoveries, there's trouble. It can't resynthesize the new thing: the 'tokens' aren't there to represent it. The reality is the hallucination, but an unreachable one.

So the LLMs can be great at fooling people by presenting 'new' responses that fall into recognized patterns because they're a machine for doing that, and Turing's Test is good at tracking how that goes, but people have a tendency to think if they're reading preprogrammed words based on a simple algorithm (think 'Eliza') they're confronting an intelligence, a person.

They're going to be historically bad at spotting Holmes-like clues that their expected 'pattern' is awry. The circumstantial evidence of a trout in the milk might lead a human to conclude the milk is adulterated with water as a nefarious scheme, but to an LLM that's a hallucination on par with a stone in the milk: it's going to have a hell of a time 'jumping' to a consistent but very uncommon interpretation, and if it does get there it'll constantly be gaslighting itself and offering other explanations than the truth.
I'll use the vaccine tests as a good example, but there are plenty.

The studies were of large cohorts, around 30k in each group if I remember correctly. They were only followed for roughly 1 month, as soon as enough subjects were symptomatic they lifted the veil and exposed which was the placebo group. Individuals weren't tested for a Covid infection unless they self-reported symptoms during the study.

That structure of a study is fine for helping find the risk of immediate adverse effects of the vaccine. It doesn't day anything of how well spread is contained, how long the protection lasts, or the risk of long term adverse impact.

All that to say those risks simply weren't known. There wasn't any reason to say they risks existed at any meaningful level, only that the scientific studies done didn't prove the claims often made with regards to the safety and efficacy of the vaccines.
And it's not just Europe either. The US has suffered from multiple attacks on electrical substations [1] as well with unknown perpetrators (the suspicion is white supremacists), and on top of that come rednecks shooting at power lines and god knows what else.

Paranoia surrounding critical infrastructure is skyrocketing at the moment, and I'd say for a bunch of very good reasons.

[1] https://en.wikipedia.org/wiki/Moore_County_substation_attack
The broader point you're missing is, HN commenters are not your personal AI summarizers.

You're literally on the Pixi website, and you know its name if you want to look for forums, feed it into Perplexity, etc.
It sounds like reading from a script, or like an influencer. In that sense it's quite good: i could buy this is human.

However it's not a very good reading of the script, in human terms. It feels even more forced and phony than aforementioned influencers.
thanks - we are indeed working with high-street accountants. I also think there is a driver as you said from founders and smaller business owners who want financial insights. Those same businesses have budgets for reporting/budgeting and planning software, so having it as close to accounting data as possible in one product we can increase the value prop.
That's a real first world problem. Most of the world, including most people in western countries don't earn that much.
Author here. It's a fair point and it would be worth revisiting, if not now then within the year.

That said, I wouldn't expect things to change too drastically. TFA goes into details, but in short LLMs are already quite good at whiteboarding (where you interactively describe the diagram you want). They're also really bad at generating a diagram from an existing system. In either case, small, incremental improvements won't really help; you'd need a large change to move the needle.
Chastising developing space tech?
The big studios aren't suffering in the same way the laid off employees are. Their numbers aren't rising at pandemic level and they decide to panic. They aren't shuttering anytime soon.

Asia isn't really booming either. At least if you compare to western studios. Japan had decades of a stangant economy and are coming out of a recession. Any kind of growth is a gold mine for them. China is a minefield as well economically.

> I doubt a union (pre-supposing this is a union, which it is not) would help US studios be more competitive.

It's not about competition, it's about protecting your livliehood so you don't get sacked to make an earnings call look a smidgen better.
The current course of the US heavily influences its future progress in science and technology.

Or should I say regression?
Not all these motions were by GL/PvdA (but a few were), and they haven't been in power for a long time, and aren't now, so there's not much more than "gestures" you can expect of them at the moment.

But yes, the key thing will be how the government (current and future ones) will followup.
And whilst the EU was focusing on Microsoft, Google took the chance to have it's turn.
You may not agree with the sentiment, but the quote isn't anti-technology.

It doesn't say that "escaping Earth" is an inherently bad thing, it simply highlights the perils of outsourcing digital infrastructure to certain billionaires who wish to do so. Which is a valid concern.
Show HN: I built a production ready sample for indexing documents with Azure
Indexadillo pushes your data to Azure AI Search in a scalable, observable way. Instead of relying on a pull-based DSL approach, it uses Azure Durable Functions to handle everything, from parsing your documents to uploading embeddings. I noticed that many projects force you to choose between solid production features and a smooth developer experience. With Indexadillo, I aimed to provide a sample that's easy to deploy on Azure while giving you the best of both worlds.
It sounds like you have a bone to pick with GL, which is totally fair. But do you have any thoughts on the proposal itself?
By crippling their devices?

Sorry, "abuse of power" is what that's called and all the more reason to fight it.
They can already use USB rubber ducks to automate the iMessage user interface, even if they don't have a Mac.
> AI to run in loop, fixing compile errors, fixing tests, do builds, run the app and do API calls...

Ah I really wanna trust AI won't "fix" the tests by commenting out the assert statements or changing the comparison inputs willy-nilly. I guess that's something terrible human engineers also do. I review changes to tests even more critically than the actual code.
Isn't struct layout in C implementation defined in general?

C itself doesn't specify any ABI. A given platform simply uses one as a matter of convention.
Haha, Autoplay midis. I had forgotten that we used to do that.
They don't remove posts that discuss European tech sovereignty. It was probably flagged by the community instead.
I think it's not very helpful to just declare that such a model doesn't exist: there's a decent amount of evidence that LLMs do in fact form models of the world internally, and use them during inference. However, while these models are very large and complex, they aren't necessarily accurate and LLMs struggle with actually manipulating them at inference time, forming new models or adjusting existing ones is generally something they are quite bad at at those stages (which generally results in the 'high knowledge' which impresses people and is often confused with intelligence, while they're still fundamentally quite dumb despite having a huge depth of knowledge: I don't think it's something you can categorically say 'zero intelligence' - even relatively simpler and less capable systems can be said to have some intelligence, it's just in many aspects LLM intelligence is still worse than a good fraction of mammals)
I am very curious how 3.7 and o1 pro perform in this regard:

> We evaluate 12 popular LLMs that claim to support contexts of at least 128K tokens. While they perform well in short contexts (<1K), performance degrades significantly as context length increases. At 32K, for instance, 10 models drop below 50% of their strong short-length baselines. Even GPT-4o, one of the top-performing exceptions, experiences a reduction from an almost-perfect baseline of 99.3% to 69.7%.

https://arxiv.org/abs/2502.05167
> users, at this point, don't care much about?

What makes you think this is true?
> whining about long hours

I could get on board with the rest of your list, but this struck me as odd to include. Can you elaborate how it fits into that list?
yes, we have something in the pipeline that would address that :) feel free to email me at gregory at modernbanc dot com if you want to have a deeper convo on that.
Lets see how that'll go when the competition starts offering really polished LLM assistants on their devices and people see their friends use them on their 400 Euro Androids and all they get on their 1700 Euro iPhone is Siri from 2011.
Sure, but most comments on the internet (very much including this forum) offer zero or negative "value" to the reader. What we're doing now is typically called "socializing and discussing topics of the day", which is typically a non-transactional sort of relationship. Notably absent from this is any obligation to persuade you of anything. I won't waste my time; I know this forum and the kind of discourse people want to have. What I say on this forum is self-actualization and deep therapy saying all the stuff I can't say to my coworkers' faces when they wag their jaws.

> Some just want something that actually works.

Sure! Some people are rich and assign little "value" to money relative to time (including me). This doesn't change anything: apple still operates at deep cost to the public. All that profit could be being put to productive use outside the reach of centralized capital. But as it stands they're basically lighting aforementioned cash on fire for the vibes and quarterly reports. If I see you with white earbuds in, I'll start selling you a bridge.
Definately, a lot of them are just AI wrappers. I looked into some Competitive Analysis products and ended up getting a prompt that gives the same output in ChatGPT
It and anything mildly questioning the morality of the current moves being made by popular VCs including YCombinator.
Apple is, or has been, an EU company for tax purposes. https://en.wikipedia.org/wiki/Apple%27s_EU_tax_dispute
It's still a good measure of how much security risk you are taking from the increased attack surface.
Unsloth: Dynamic 4-bit Quantization (2024)
It would be the fastest way to bootstrap a local hyperscaller, I mean, most of AWS is open source software with a HUGE integration to make it easy to administer.
I expected way worse for first gen.
"Usable" is the key word here. Not all context is created equal.

Have a look at the RULER benchmark for a bit more detail.
It's exactly "much" better!
I’m not enjoying this either. I get that it’s necessary for the EU, but I’m still in favor of free trade.
unions aren't directly about consumers. Why argue this angle? Consumers don't get games if devs don't exist.

>it just targets a small subset willing to spend the most money.

people with money aren't worried about getting laid off. Quite the contrary.
Absolutely. If you’re tackling a real, high-value problem in an untapped market, prompts become a serious competitive advantage. It’s not just about calling OpenAI’s API it’s about deeply understanding the nuances of your use case, refining prompts through iteration, and integrating them into a seamless UX with the right agent orchestration.

The real magic happens when prompts evolve beyond simple text inputs and become part of a system that continuously learns and adapts. Even if someone reverse-engineers your approach, they won’t replicate the intuition, iteration cycles, and edge cases you’ve fine-tuned over time. That’s where the real moat is.
With time, he could always do a coal or wood gassifier range extender… probably make cybertruck more interesting to his political allies.
hey - we'll think about this. In the meanwhile it is still powered by the same high-performance customizable ledger from our earlier ledger api pivots - it is 100% accessible via API.
Lack of offspring is a direct result of cultural and financial policies that tell people they shouldn't settle down and prevent them from affording it. You can fix that instead of giving up your country's identity.
The Shitthropocene
The lab leak hypothesis was highly politicised, but that's likely due to the international blame game that would arise from publishing too much speculation on the origin of the outbreak. That seems prudent to not be stirring up trouble unnecessarily. I can't see any similar rationalisation with lying about the NASA missions.
https://www.anthropic.com/news/mapping-mind-language-model

It is clearly happening as shown by numerous papers studying it. Here is a popular one by anthropic
But, at least speaking for Germany here, the anti-technology stance of politicians and Germans in general certainly has a huge part in hampering the startup scene.
This always goes both ways. It's not wrong to be skeptical and wanting privacy etc., but it also means it's harder to make bank by tracking everyone and selling their data, which has been a huge part of American technology startups for over a decade. And it often also just means, people don't trust new things and will not try them.
Not sure this applies equally to the Netherlands though.
Also yes, because it's easier to start in a jurisdiction with sane laws and bearable tax burden, none of which is available in the EU. EU is indeed drowning in mind boggling bureaucracy.

Source: am a startup in the EU.
I don't vote for this party but you sre totally straw manning them with respect to data centres. The whole reason those became controversial is because American big tech companies would come in and negotiate deals with municipalities to consume all the energy of newly built green energy projects so they could claim they would make their green goals withouth making any investments themselves. Also you can question if the Netherlands is the right place being so densly populated resulting in issues with both the electricity grid and general land shortage.
Sure there could be consequences. That literally applies to basically everything. So I don't buy that argument. You really need to quantify in some sense what the consequences could be and how likely they are.
what do you think would be a fair price for the product?
While I don't like the politics giving rise to this, de-globalization combined with the great social media unbundling and other trends means we might finally see decentralization be a major trend (outside of the cryptocurrency ghetto).

Overall I think this is a good thing. It could mean the end of the monolithic closed SaaS era, which is the absolute worst possible model for software if you care about privacy or any kind of personal or business sovereignty.
Kind of. This explanation feels pedantic—like calling my morning routine a dynamically generated graph (which it technically is). Others have pointed this out, but the industry seems split. Workflows like those described in the article resemble Airflow jobs, making them, well, workflows.

Corporate buzzwords have co-opted "Agent" to describe workflows with an LLM in the loop. While these can be represented as graphs, I'm not convinced "Agent" is the right term, even if they exhibit agentic behavior. The key distinction is that workflows define specific rules and processes, whereas a true agent wouldn’t rely on a predetermined graph—it would simply be given a task in natural language.

You're right that reasoning about runtime is difficult for true agents due to their non-deterministic nature, but different groups are chipping away at the problem.
Me too. The industry has now brought so much disrepute on itself that I've become very hesitant to tell people what I do for a living.
When Gaussian Splatting Meets 19th Century 3D Images
Not trying to detract from the OP, but to provide a combination I have running in production for 2 years.

- aws cdk (with outputs)
- https://github.com/zappa/Zappa
- a python script which stitches outputs from cdk into the zappa config
- extra python scripts to do a few small things post deployment. Zappa has some bugs that would be tedious to fix vs 100 lines of python.

Our product has the luxury of only being used during stock market hours and really thrives in serverless everything. We use rds serverless (v2) along with lambdas.

Some of our work is heavy and we’ll dynamically spin up an ecs container which has the hallmarks of a normal django app: redis + celery queues. We try to saturate the ecs container resources with this type of setup. After the container is done, it’ll shutdown.

I was super skeptical of this 2 years ago. 4 envs costing ~$2k/month. I would do this setup again if the product warrants windowed usage.
As a Dane I've always wondered why so many English speakers think "Dutch" goes with "Denmark" when "Danish" is what you're actually after.
> They support HTTP and IMAP and SMTP, for example. They support SMS and phone calls.

But they also need to support the updates to these standards, rather than purposely holding it back to push people to their own services which are not open.
I sincerely have no idea why mentioning the anti-technology stance of the EU always gets downvoted on HN.

It's almost like people are confusing the contents of the comment with the comment itself, expressing their disdain for the legal burden of the EU by downvoting a comment mentioning that fact.
Lets see if they put cash where there mouth is they should have been pouring billions of dollars into opensource software instead of paying Microsoft, Google, Amazon, Oracle etc in the first place. Europe countries have been client states of the USA for decades and just do whatever USA wanted first time USA has hurt their own interests so are waking up to the fact.
Benchmark of 110 RAG implementations on Annual Reports Q&A task
Results from the Enterprise RAG Challenge, comparing 110 experiments from 43 teams on building Retrieval-Augmented Generation (RAG) systems. The challenge required AI solutions to automatically answer 100 complex queries across 100 large annual reports (one was over 1000 pages), including cross-document reasoning.

Teams detailed their architectures, methods, and lessons learned - expand rows in the table for insights into each approach.

Feedback welcome!

PS: There are even a few fully-local solutions in the leaderboard. Hopefully in the third round we'll have even more.
You’re 100% right and this is what bothers me: a lot of self-diagnosed people using adhd to avoid responsibility and accountability rather using that insight (maybe they actually do have adhd) to understand what non standard strategies to adopt in order to function in the society.
They appear to be chastising the billionaires, not the space tech. Chastising space tech would not fit in with the argument they are advancing about the need to adopt local tech. However, chastising the US billionaires definitely supports their argument.
And replace with what, more regulations?

Source: am a startup in the EU. The amount of bureaucracy is kafkaesque.
And if you need it you should just use something like Google Spanner.
Microsoft became much more diversified and interoperable than it was before that crackdown.
France and Germany are already taking steps and have deployed a significant systems. Dutch parliament gave a strong signal to the Dutch government to also move in that direction.

The government has no plans to move their spending from Microsoft to European businesses. On the contrary, they are still very likely to move more systems into O365.
I feel like it would be easier to believe that Apple locking down access to things is the problem if anything at all comparable to their experiences existed outside. Yet whenever this discussion comes up, the answer to “why not just use Android’s ecosystem” largely seems to be that no such similar experience exists for Android. But why would that be the case if this was about Apple locking stuff down? Surely if a lack of open phone OS and feature access was the problem, we’d see a rich ecosystem of integrations that exist on Android devices that are just impossible to achieve on iOS right?

Don’t get me wrong, I would love to see a comprehensive and more open integration ecosystem for non-Apple devices, if only to encourage Apple to keep building. But it doesn’t exist now, why would I expect it to exist if Apple is also open?
Exactly… and look where that got us. Sometimes platform makers really do know best.

Just because something is beneficial to the business (exclusivity) doesn't mean it's not also simultaneously beneficial to users.
There's could be something to what you wrote. If AGI were to be achieved by a model, why would they give access to it via an API? Why not just sell what it can do? E.g. business services. That would be far more of a moat.
I want a good parallel computer [video]
Somehow i doubt it coming from a country which could be described as a datacenter for big US tech
Trust in the US was also at big part of it. That trust is now gone.
A global multi-master SQL database is one of the hardest things in IT to do correctly. Just use Google Spanner or maybe CockroachDB