Sadly, European Union that could be really useful (all-EU, flagship AI model anyone? But no, better restrict AI development, what can go wrong?) so people would genuinely like it, chosen to fight the people and try to gag criticism.
Think of 90 y.o. lonely people who can't care less about some company seeing the interior of their house. Surely, it is a risk, but being without any help and assistance.
That worries me a bit. ArXiv was and is great and so useful to humanity, giving access to otherwise closed knowledge, hold by publishers cartel, that I would not like to see it is turning into a "non-profit" of OpenAI kind...
You don't need to. Just sample 1% of data, let the model do the feature engineering, ask model model to replicate everything in Pandas (or R, or whatever else), so you can run it for a full dataset.
Thanks for the very interesting write up, I am teaching management studies programming Python (people who want to be quants, dana analysts, etc.) and I am struggling with the same problem - how the hell do grading to make it reliable.
LLMs has become good enough so whatever homework task I give, it can be solved easily by any LLM (and, in fact, this becomes unfair to those who are not able to pay for good model). I was asking to add comments & interpretation of results, this slightly helped, but LLMs are increasingly good in all this as well.
So, quite seriously, I am considering some on paper tests & quizes, because what else can be done?
Making people aware about importance of writing code is indeed a good hint to convince, at least part of the people to do this. Another thing is: they will leave university one day, they will search for employment and the employer might be much more hostile towards cheating during job interview and can easily make cheating with AI impossible... Question is, will it still matter?
Yup "protecting kids" has a long, long history of being used as an excuse to restrict citizens rights, yet something like Epstein Island was happening with all the proponents of child protection being happy visitors of the said island.
One of the striking things about LLM-s is verbosity. A junior guy had to do some task and create docs how (a rather simple) change needs to be done. He produced, using Copilot (all those hyphens, additional lines between paragraphs, etc.) , a long dissertation that included some rather poor analogies and that could have been summarized in 5 sentences. Yet I had to go through that writing.
Same with the code. Generate Apache Kafka listener using Spring Kafka. Here you go, my human boss, the code is ready. The code is ready, but, somehow some outdated tutorial or Stackoverflow answer must have kicked in, hence it produced some totally unnecessary factory of factories that Java loves so much, but could be replaced with a few lines in the properties file.
But, when notified, Copilot kindly agreed that that factory is not really need and I am right.
One more wake up call for anyone outside USA, especially Europe. AI will be weaponized, on the battle ground too, but the bigger battle will be fought in the industry competition. Those who have access to state of the art models will have advantage over those who does not.
Hopefully open-weight models will catch up, hopefully we, as the people, engineers will find the way to maintain those open-weight models on pair with the closed ones.
I try to be optimistic, as we won some battles, against all odds, Linux is flourishing, open source solutions are mainstream.
We have too many videos (since creating one is so easy), too many music (since recording it is so easy), too many books (since publishing an e-book is so easy). Now the same story happens again, for software. But this time it causes more troubles...
Soon, very soon, if you will need something useful, like medical advice, financial advice, you will be told that, well, ok, but you need to pay for an "extended license" that gonna be in thousands of dollars per month, otherwise you need to hire someone who paid that money.
The only hope are Chinese models, as Chinese commies are playing a different game as long as they are behind the flagship models (but it will change soon, like with cheap Chinese cars) and maybe, finally, Europe will start working on their solutions, instead of regulations.
Yup. That's a big disappointment they could not cram universal generics faster. But I get the problem - they have to preserve backwards compatibility. I can take 30 y.o. Java 1.0 JAR and run it on Java 27 and it will work.
If it weren't for the IPO, Anthropic would just ship another model, called Opus 4.898, people would run another "duck on the bicycle" test that would be slightly better than the one from previous version 4.897 and move on.
But we have IPO coming, hence we face that big drama about model that would enable Iran to produce nukes, ok, that card was played, so maybe Taliban producing some magic poison to kill all Americans or some really bad people (Venezuelans?, Cubans? Somalian football referees?) to break into Github and make Github Actions working even worst (if this is even possible).
That's the difference between European and US companies and that's exemplification of the problem that Europe has. A big problem.
Firstly, Hetzner is really great, they have good service, good offers, they are rock solid, they shine especially in dedicated servers area - often better than all the cloud fad for many, many applications that does not need to scale crazily.
Having said that...
They expanded to a certain level and... just stopped. They do not have services that are making AWS/Azure attractive (all this identity/security stuff, MS Exchange like functionality), they are not even providing any viable messaging service, etc. Basic stuff.
As a result, companies who would even like to use them because they are solid, reliable, etc. simply can't, as Hetzner is missing basic services from business perspective.
So, they are not able to jump to the first league, have big customers, make big money, be able to invest into custom chips/infra, they are 100% dependent on US and Chinese providers. When something happens, like certain hardware shortage they are on the mercy of others and stop being able to compete.
Frankly, I don't fully get what the problem is. Luck of founders with vision, all those Jobs, Wozs, Zukerbergs, Elons, Bezosses? Luck of boring but effective CEOs (people like Eric Schmidt or Satya Nadella)?
Still I am not sure why I should use their paid service instead of using publicly available infrastructure. If they go out of business, get sold what's then? DNS and friends are not going to disappear and send me "it was great journey" e-mail. Maybe for some specific applications, like P2P chats, this makes sens, but how many of such applications are needed?
I've looked at the usecases page, obviously there is an AI stunt (which I don't buy at all), for POS applications, well, there are better and less risky (see above) ways to do this, so the only thing that seems to make sense is this real-time sync, if someone is in the restricted environment (but, the point is, that in the restricted environment iroh is going to be blocked anyway by firewalls, z-scaler, etc.).
Interesting, but given an easy access to AI, employers would get hundreds if not thousands of wonderfully written, properly suited CV. And everyone will have cool Github portfolio (with AI-generated projects). Good luck finding the right person in such environment.
So I am wondering what kind of tooling would be able to somehow spot the right people among flood of AI slops.
"When I came back a few minutes later I saw my machine open a browser window in my regular Firefox and then navigate to the dialog in question. I had not told Claude Code to use any browser automation".
Yup, tokens are eaten, money are paid. I am wondering how much energy/money is being burnt everyday by all of those LLM Agents on some useless activities like trying to recreate web application just to fix CSS bug.
And I would not call it proactive, proactive would be to ask for a CSS + HTML file in question, not trying to recreate them from screenshots.