sc077y

This makes me think that mojo could actually become a python 4 of sorts meaning a python with more emphasis en performance and support for native gpu programming

This is why we ought to have redundancy for critical services, I'm talking both from Revolut and from the client side. I have several cards in different banks for this situation exactly. And Revolut should be multi-zone for this situation exactly.

so If I understand correctly classical ML would beat this generic approach, classical ML being feature engineering/selection and curve fitting? My next question would be that wouldn't it be smarter to take an auto research agent or even just a classic grid search of sorts to find those features and best curve to fit your problem using backtesting to evaluate and iterate.

A lot of the heads of AI labs are talking about this including Dario, Demis and ELon, they are seeking to do a sort of decentralized peer review system, where the competitors have incentive both for self interest and global interest to flag their competitors for actual risks, similar to the Fable situation where Amazon contacted the white house.

The idea is to have an early access distribution of the models to the big labs, including chinese, and let each lab run it's benchmarks. If there is a potential security vulnerability then it would be flagged and the local gov, US or China, would block the publication until the matter was resolved.

All the AGI (which is a misnomer, ASI is preferred) talk is about the moment of singularity, which is where the growth at the third derivative is increasing, so the gap (in the absolute) between first place and others, even if it's one month, will be ever increasing as time progresses. I also have a hard time believing this narrative because limiting factors prevail such as compute and energy. These constraints will take many many years to overcome.

Who knew that English would be the most popular programming language of 2025?

73% of statistics are wrong

I believe the ARC-AGI benchmark fits that description, it's sort of an IQ test for LLMs, though I would caution against using the word "Intelligence" for LLMs.

Woz is just a nerd, simple as that. And he stayed true to himself and that ethos his whole life.

Every time you use these tools irresponsibly, for instance for what I like to call headless programming (vibe coding), understand that you are incurring tech debt. Not just in terms of your project but personal debt regarding what you SHOULD have learned in order to implement the solution.

It’s like using ChatGPT in high school: it can be a phenomenal tutor, or it can do everything for you and leave you worse off.

The general lesson from this is that Results ARE NOT everything.

Critical Skills is spotting the potential bugs before they happen but in order to do that you need to have an extremely acute understanding or a have a lot of experience in the stack, libs and programming language of choice. Something that, ironically, you will not get by "vibe coding".

In that case, you use copy OR what you can can also do, if you really care about disk usage, is use symbolic links between the drives. have a .venv sym link on drive A (raid 1) point to the uv_cache_dir's venv on drive B (raid 0). I have not tested though what happens when you unmount and sync.

I tried installing and setting up the project today, it was miserable. I finally got it to work only to find out that the mistral models' tool calling does not work at all for claude code. Also, there is no mention anywhere of what models actually support anthropic level tool calling. If anyone knows if there are some open weight models (deepseek or others) I can host on my infra to get this to work out of the box that would be amazing.

I recently saw an interview without someone on the mac team and what's interesting is that the original Mac team had a lot of friction because of this philosophy. Jobs constantly asked unreasonable design constraints of his engineering team, the team prepared two laptops one with the "esthetic" laptop and one with the pragmatic design. One vastly outperformed the other and Jobs conceded, this was a constant pattern for the engineering teams at Apple. What you see before you is not the esthetic version but the pragmatic version. Sometimes Jobs was right but most of the time he was delusional.

By default it will create hard links for python packages, so it won't consume any more memory (besides the small overhead of hard links).