Caleb Eom (@calebfoundry) header
Caleb Eom (@calebfoundry) profile picture

over-analyze everything.

USA
Joined March 2025
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ok im now back to being stupid again. CUDA is a huuuuge rabbit hole. teapaw.org/calebfoundry/status/21…
holy crap i finally understand CUDA.. finally at the peak of mount stupid, now heading towards valley of despair..
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holy crap i finally understand CUDA.. finally at the peak of mount stupid, now heading towards valley of despair..
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Gemini 4 Carbon is OP on cybersecurity.. so much for "pacing" frontier capabilities.
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Gemini 4 Carbon released at $2/$10 introductory pricing while scoring higher than Opus 5.5.
⚡Iterating at lightning speed! Gemini 4 Carbon is SOTA across key benchmarks and combines frontier capabilities with deep safety & security research.
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Kimi K3.1 Pro explained.
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it would be hilarious if Google just drops a monster model right before Anthropic IPO
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why is RL so hard...
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PHP2Shell technical breakdown to show you how an attack could actually run code remotely on PHP servers by single HTTP POST request crafted to cause OOM error to exploit the destructor callback. AI adoption is becoming ever more important as it's ability to find security vulnerabilities is currently greater than our ability to put the patch push through. In this case, PHP2Shell was known for 10 weeks until multiple leaks forced them to frantically patch the update earlier than scheduled. What a nightmare.
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so this whole PHP shenanigans is really more human error in not being able to keep the sec vulnerability under wraps than about AI mayhem causing havoc. this could have gone very differently if we held it together.
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This seems bad.
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does OpenAI get credit by default for every vulnerabilities that Patch the Planet?
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Quick update on Fred (that's his name now), he seems to have reverted to The Thinker pose after 9 hours of training with SAC.. i may revert back to PPO teapaw.org/calebfoundry/status/21…
UPDATE: my constipated agent is doing better. teapaw.org/calebfoundry/status/21…
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DeepSeeek just open sourced DeepInfer that only supports NVIDIA Blackwell (data center GPUs not consumer chips like 5090) and Ascend 950 NPUs for now.. This is targeted directly as data center inference efficiency and they report that at the cheapest API cost for running DeepSeek V4.1 Flash, the hourly revenue/GPU was $38 capable of making 155 trillion tokens per day at a cluster level. The downstream effect for efficiency at the infra level is lower cost of intelligence for consumer further driving down cost given higher inference margins. github.com/deepseek-ai/DeepI… This week has been an incredible run for open source AI.
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 github.com/deepseek-ai/DeepI… 1/4
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UPDATE: my constipated agent is doing better. teapaw.org/calebfoundry/status/21…
RL training to mimic indigestion after Taco Bell
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Cooking some RL on sfcompute tonight
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RL training to mimic indigestion after Taco Bell
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I can't tell if I'm in my own bubble because most people around me seem unaffected by AI.. but I'm literally studying more than I ever have in my life. It's hard to tell if the right approach to AI is to go touch more grass or lock in harder. Curious to hear ppls thoughts.
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RL scaling for MiMo-V2.6 explained. Great work @XiaomiMiMo and thank you for sharing your knowledge and experience openly to the world.
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This is insane
When she says her parents aren't home
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