Happy 79th birthday to Gerry Sussman, the MIT prof. who co-wrote "the Wizard Book” (Structure and Interpretation of Computer Programs) w/Hal Abelson & Julie Sussman in 1984. Read it for free here: https://
bit.ly/4jtzw7g
COMPUTING
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Gerry Sussman Birthday: Free Access to Wizard Book
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Codex not recognizing CUDA on user’s machines
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I still can’t get codex to recognize that CUDA exists on my machines.
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Why AI Products Fail: Serving Phase Challenges and LLM Inference
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Why Most AI Products Fail (It’s Not Training) ❌
— Satya Mallick (@LearnOpenCV) 6 février 2026
Everyone focuses on training, but "serving" is where the real collapse happens. Learn the two phases of LLM inference: Prefill and Decode.#AI #MachineLearning #LLM #SoftwareEngineering pic.twitter.com/XKg886p9QdWhy Most AI Products Fail (It’s Not Training) Everyone focuses on training, but "serving" is where the real collapse happens. Learn the two phases of LLM inference: Prefill and Decode. #AI #MachineLearning #LLM #SoftwareEngineering
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256 Tb/s Fiber Optic Data Rates Demonstrated Over 200 km
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256 Tb/s data rates over 200 km distance have been demonstrated on single mode fiber optic, which works out to 32 GB of data in flight, “stored” in the fiber, with 32 TB/s bandwidth. Neural network inference and training can have deterministic weight reference patterns, so it is
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Human intelligence as infrastructure: systems sourcing, evaluating, and compounding expert work
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This is interesting because it treats human intelligence as infrastructure, not labor. These guys are building systems that source, evaluate, and compound expert work directly into training/eval/reward models:
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EdgeFlowNet Optical Flow Deployment on OrangePix Plus Hardware
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EdgeFlowNet optical flow running on @orangepixunlong 5 Plus + Metis M.2 Community member Enmin solved some gnarly deployment challenges:
→ Custom 6-channel DataAdapter for frame-pair calibration
→ Debug flags to hunt down shape mismatches
→ Non-symmetric padding fix, no -
NVIDIA ecosystem vs Mac or 5090 for large models
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If you want ALL of the native support for the entire NVIDIA software ecosystem, AND you anticipate working with models that are 100 GB or larger, then it is a pretty solid choice. Otherwise a decently speced Mac would work, or a workstation with a 5090.
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Edge AI for Maritime National Security at AFCEA West 2026
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@DominoDataLab is at AFCEA West. Learn about us in @Carahsoft
's partner pavilion, and see our panel; Edge AI for Maritime and National Security Superiority: Turning Data into Decision Advantage 2/11 | 9:45–10:45 AM | Excellence in Warfighting Stage #AFCEAWest26 #EdgeAI -
Microsoft Super Intelligence Team Hiring Data Engineers
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I’d like to hire strong data engineers to join our Microsoft Super Intelligence (MSI) team. I am interested in people who are good at processing PDFs and other documents at billion scale, and people good at parsing the web at trillion scale. If you dream of processing all of
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Decoupled Diffusion Solver for Inverse PDE Problems
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Solving Inverse PDEs with 1% Paired Data: Introducing Decoupled Diffusion Inverse Solver We propose a data-efficient and physics-aware diffusion framework for solving inverse problems on function spaces. In scientific machine learning, solving inverse problems requires costly