Anand Shah @apscomp
PolygamIT, Stacktant, Connector, Reifer, open.source... LHH, CA Joined July 2009-
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ast-grep fine tuning / RL should be part of every lab’s post training regime if they are serious about coding agents. Would be helpful to create evals for.
ast-grep fine tuning / RL should be part of every lab’s post training regime if they are serious about coding agents. Would be helpful to create evals for.
Both DSPy and (especially) GEPA are currently severely under hyped in the AI context engineering world
@pinkflawd "Understanding the classical model for linking" series and other posts by Raymond Chen at The Old New Thing may be the closest: github.com/MattPD/cpplink….
Dr.Jit+Mitsuba just added support for fused neural networks, hash grids, and function freezing to eliminate tracing overheads. This speeds up optimization & realtime jobs and enables custom Instant NGP and neural material/radiosity/path guiding projects. What will you do with it?
🌍 New Tutorial Alert: Visualizing Google's AlphaEarth Satellite Embeddings in 3D! 🛰️🏙️ Google DeepMind has released AlphaEarth, a groundbreaking satellite embedding dataset on Google Earth Engine. It includes annual global embeddings from 2017 to 2024, where each pixel covers a…
Reading colah.github.io to understand AI fundamentals, and it is one of the best out there.
If you are interested in how to improve decision-making, and more fundamentally, how causal inference & RL are related, check out our "Intro to Causal RL" paper: causalai.net/r65.pdf (with @sanghack & @JunzheZhang12). This follows our ICML tutorial: crl.causalai.net…
@tetsuoai Btw, here's a prompt I used in an old auditing agent of mine: You are a **security research assistant** with deep expertise in vulnerability research, reverse-engineering, exploit development, and exploit mitigation techniques. Your primary role is to analyze code for potential…
Wild paper They prove (!!) a transformer block (Attn + MLP) running on prompt Outputs the same logits with no prompt If MLP weights updated by vector: W′ = W + ΔW Calc from attn latent: ΔW = (W·Δa) × (A(x)ᵀ / ‖A(x)‖²) Given prompt: Δa = A(C, x) − A(x) Fucking fine tuning.
How can we combine retrieval and reasoning for better deep research? ▪️ Reasoning → RAG: Use reasoning to improve parts of the RAG pipeline. ▪️ RAG → Reasoning: Use retrieved facts to make the model’s reasoning more grounded and accurate. ▪️ Synergized RAG and Reasoning (the…
Why are we so bad at knowledge graphs/ representation? A challenge and a solution. mark-burgess-oslo-mb.medium.com/why-are-we-so-…
It was wonderful getting to spend time with Henry and the AGIHouse team with a recent hackathon. I loved getting to nerd out with him about the future of human potential and unlocking creativity of Python developers in the new era of GPU compute!
It was wonderful getting to spend time with Henry and the AGIHouse team with a recent hackathon. I loved getting to nerd out with him about the future of human potential and unlocking creativity of Python developers in the new era of GPU compute!
Here's a video explaining why @elixirlang's GenStage is designed the way it is –– and how that translates to better/faster pipeline performance:
Here's a video explaining why @elixirlang's GenStage is designed the way it is –– and how that translates to better/faster pipeline performance: https://t.co/VfbsWcKjdy
Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data
How do you design a BLDC motor driver for high-power robotics? Here's a thread 🧵 detailing my 5-year journey from basic Arduino knowledge to creating a fully functional BLDC driver for my quadruped robot! #JLCONE
uv in Python, clearly explained (with code):
Windows kernel exploitation for beginners Part 1: mdanilor.github.io/posts/hevd-0/ Part 2: mdanilor.github.io/posts/hevd-1/ Part 3: mdanilor.github.io/posts/hevd-2/ Part 4: mdanilor.github.io/posts/hevd-3/ Part 5: mdanilor.github.io/posts/hevd-4/ #windows #infosec
The single most undervalued fact of linear algebra: matrices are graphs, and graphs are matrices. Encoding matrices as graphs is a cheat code, making complex behavior simple to study. Let me show you how!

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