@satyanadella This is the most likely outcome.
In max 10 years, I don’t see how frontier providers can be as relevant as they are now. Open source models and hardware are improving at a high rate. It’s the prime time for creating the larger ecosystem.
It blows my mind that someone can be this old and still not understand how economics works. Or, willingly bitter and filled with envy purely for the love of the game? Its hard to tell. If you change your mind it means your entire life was wasted on campaigning for the sabotage of human flourishing. Thats a dark reality to accept.
@zebassembly 100%. Ive got my agent orchestrator running almost permanently during work hours and I barely hit 50% of my weekly limit on my claude max account. I don’t understand how people are spending so much money on tokens. You only need a high end model during the exploration phase.
How do I disable IOS @Substack notifications for non-subscribed people? Im getting the most idiotic content. Its like having a tik tok feed pushed to my lock screen.
When I see a gem of a low IQ tweet like this, I again consider how future psychologists, historians and political scientists will perform their life's work studying the modern leftist worldview. Decades of social trends, media, communication, algorithms, etc. Never has a political ideology left so much dna all over the crime scene.
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.
@holapabs I just felt the urge to get into the anti claude camp for a moment to score some rage points. Im pretty sure claude code will be fixed by tomorrow. Im actually quite optimistic about this one! Looks like Anthropic did some good fine tuning work.
@CollinsforTX This is a brain that has been parasitised. He is not physically able to respond in any other way than the default programming because his brain does not function like a normal brain anymore.