simplicity enjoyer
Joined April 2014
- Tweets 1,592
- Following 1,448
- Followers 84
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115 Photos and videos
May 31
genuinely shocked at how insane how good ai got in web design.
left: gpt-4o (from 20 months ago)
right: opus-4.8 (one shotted from a few minutes ago)
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May 31
btw this is from donut.issaminu.com
when you open the link, your browser contributes your cpu cycles into executing render tasks sent by the server, then those get broadcasted back to everyone connected.
a render task is rendering individual frames of the donut spinning :)
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May 29
`go run -race` is unbelievably good, it has so much insight you get literally for free.
literally black magic.
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Issam π§ retweeted
May 29
Tucker Carlson interviews a British doctor who worked in Gaza.
"Four young teenage boys were brought in, all of whom who'd been shot in the testicles."
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May 29
nature is actually healing?
Sources: Amazon has shut down an internal leaderboard that tracked employees' use of AI tools after workers tried to boost their scores with needless tasks (@rafeuddin_ / Financial Times)
(Visit Techmeme dot com for the link and full context!)
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Issam π§ retweeted
May 28
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.
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Issam π§ retweeted
4 Apr 2023
Israel is Beating Women children and men praying inside Al Aqsa mosque right now !!!
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Issam π§ retweeted
May 9
a fascinating phenomenon is that the further away a computer is from earth, the less memory it uses
this is why datacenters in space are a big deal
May 9
Voyager 1 runs on 69KB of memory and is currently in interstellar space.
β¦and two LinkedIn tabs use 2.4GB. What have we done. π
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May 10
it exists only by continuous, expensive, painful artificial support
the fact that it's pushing against the natural state is what makes it unbelievably difficult to barely get it to work, let alone work consistently well
that's such a fucking excellent description of the empire.
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May 10
on another note, Andor was the first star wars thing i ever watched, it's nothing short of a masterpiece. and it hooked me to this universe so hard.
you can imagine my disappointment when I found out the rest of star wars is just watered down PG action adventures. oh well..
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Issam π§ retweeted
2018. Maiming has been the policy for years.
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May 6
SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the worldβs largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude β x.ai/news/anthropic-compute-β¦
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May 6
SpaceX? the GPU renting company?
Weβve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.
This, along with our other recent compute deals, means that weβve been able to increase our usage limits for Claude Code and the Claude API.
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