
Building KnightVision. Computer Vision for physical ChessBoards @Jousting_Knight. Transforming OTB Chess for 600 million+ Chess Players.
Houston, TX
Joined December 2011
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I had several fights back when I lived in Dallas.
Xavier was in my corner for almost every single one of them.
Now he’s fighting his way into the UFC, and I couldn’t be more proud to have trained along side one of the best.
They not ready for Xavier.
WHAT JUST HAPPENED?!
Xavier Franklin earns the TKO victory to take the final bantamweight semifinal spot on #TUF34!
STREAM NOW on @ParamountPlus!
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abraham.py retweeted
re: Jensen Huang
- It is not us that have to forgive him, it's his wife and kids
- The memes are funny but you're all helping a narrative that they will use to crush Opensource AI
- He's just a guy, not a god
- We all fuck up
Be decent and show some compassion to his family
abraham.py retweeted
Replying to @brian_lovin
Skill issue.
New side projects: change legislation, robotics, hardware, new kernels, new data stores, rockets/drones, biology…
Old side projects: notes app, read it later app, marginally better coding tool, weather app, todo list app, camera app, hacker news app, voice dictation app…
abraham.py retweeted
I used to be a language lawyer. In the late 80s I _studied_ the ARM (Annotated Reference Manual for C++). I knew the language cold, inside and out. I could make it do backflips. I shipped a lot of code using it. A LOT.
I’ve attacked other languages with a similar intensity and depth. Until recently, that was simply the only way to become adept at building software systems.
I now consider the deep understanding of a language to be a supreme waste of time and effort. I don’t want to learn Rust, or Golang, or Typescript, or any of the thousands of other languages out there. I’ll leave that to my agents.
What I need now is to understand the high level gestalt of the system. I want to see the systems and subsystems. I don’t need to inspect the cogs. If I truly need to understand a detail at the cog level, I’ll interrogate my agents. I’m not going to pretend to be a language expert anymore.
abraham.py retweeted
George Foreman remains the oldest world heavyweight champion in history after his sensational coronation against Michael Moorer #OnThisDay in 1994.
Only two men have held a recognised world heavyweight title beyond the age of 40, the other being Vitali Klitschko (42 years, 2 months, 26 days).
Big George was 45 the night he made history, and held his status as world champion until the age of 46. A heavyweight record that will surely never fall.
abraham.py retweeted
I understand people love this shit, but it just don’t do it for me. Growing up, I was always taught that beating on somebody when they’re down is a pussy move - so watching it as a sport doesn’t interest me. One of the greatest things I like about boxing and other martial arts is that if you get dropped, you get a chance to get up and fight back. That creates a potential level of humanity and drama that no team sport can match (Corrales vs Castillo).
Happy birthday to @WadimRosenstein, founder of WR Chess! 🎂
Here’s to another year of big tournaments, bold ideas, and keeping the chess world on its toes.
abraham.py retweeted
Releasing the model weights of Kimi K3.1 Pro: huggingface.co/moonshotai/Ki…
We'll keep advancing open intelligence.
abraham.py retweeted
RAM is expensive - so I used AI to make my own! But will it boot? Here's how it went...
Would like to see the whole fight.
In amateur boxing, your head shouldn’t go below your opponent’s belt
I’ve been watching amateur boxing for well over a decade now, but this point deduction in the third round of the NABGC London SF’s - which ultimately determined the outcome of the fight - is amongst the worst I’ve seen. Penalising upper-body movement is nonsense, and a very…
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abraham.py retweeted
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
abraham.py retweeted
For a company worth $2 trillion, they’re not willing to eat the loss to keep the lead in the biggest TAM in human history?
Something’s not adding up.












































