Pretraining fundamentally does not make sense anymore for anyone other than frontier labs. Although there are a lot of people at enterprises & startups who have "Pretrainitis" to show “impact” and get promotions, fundamentally, it doesn’t make sense.
There is probably higher ROI in partnering with a frontier lab to do prompt engineering, although it isn’t as “sexy” as pretraining.
🚨GRAVE
Neymar contraiu peste bubônica. Ancelotti descarta corte acreditando que isso pode ser uma vantagem e usará o jogador como arma biológica para infectar outros jogadores.
🗞️@CazeTVOficial
Have canceled my team subscription for Claude Pro.
Idc how good that model is, it’s not good enough for me to support people who actively stifle innovation and gate keep knowledge that they didn’t even create.
If there’s one thing I learned today it’s we need to make sure xAI wins at all costs.
Gate keeping knowledge is one of the worst things you could do to someone. Imagine if Wikipedia gate kept math physics and biology articles from the public domain?
This is an assault on the public the likes we’ve never seen before & I am boycotting anthropic from now on.
I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem.
As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)!
I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work.
It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results?
88ms => 1.5ms
150K allocs => ~500 allocs
Incredible right? Nope.
My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path.
This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput.
The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity.
Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.
your "claude number" is the version of claude required to peel you off from reality. yes, it's funny that richard dawkins' claude number is only 4.7, but you have one too. maybe it's 12. but maybe its 4.8.
Consider a 5D observer;
looking at you, a 4D being
It would see the shape of your lifetime, all at once
Everywhere in space you were,
are and will be
In one grand arc
They could mold this shape
Like you,
a 4D being,
could reshape a stick figure on paper (2D+T=3D)