arXiv:2602.02554v1 Announce Type: new Abstract: Training LLMs for code-related tasks typically depends on high-quality code-documentation pairs, which are costly to curate and often scarce for niche programming languages. We introduce BatCoder, a self-supervised reinforcement learning framework designed to jointly optimize code generation and documentation production. BatCoder employs a back-translation strategy: a documentation is first generated from code, and then the generated documentation is used to reconstruct the original code. The semantic similarity between the original and reconstructed code […]

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[Editor’s Note: We are especially proud of this one. James and his group went above and beyond the call of duty and made a guide from their class that we feel is especially superb for understanding their target paper. Moving forward, he has forced us to up our game because it will be hard to release a curriculum that is not as strong as this one. We highly recommend earnestly studying with this at hand.] A number of […]

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The scaling of large-scale AI systems increasingly encounters operational instabilities that cannot be attributed to interconnect limitations alone. Even in infrastructures with sufficient network capacity, cost escalation, non-deterministic behavior, and soft degradation persist, indicating coordination and control as distinct failure domains. Building on prior structural analyses of interconnect-induced instability, this article introduces runtime control coherence as a structural property describing the degree to which distributed control decisions across schedulers, orchestrators, runtime engines, and policy layers remain mutually consistent. […]

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arXiv:2601.16429v1 Announce Type: new Abstract: Existing face-swapping methods often deliver competitive results in constrained settings but exhibit substantial quality degradation when handling extreme facial poses. To improve facial pose robustness, explicit geometric features are applied, but this approach remains problematic since it introduces additional dependencies and increases computational cost. Diffusion-based methods have achieved remarkable results; however, they are impractical for real-time processing. We introduce AlphaFace, which leverages an open-source vision-language model and CLIP image and text embeddings to […]

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Hey everyone — I’ve been building a desktop toolchain to make fine-tuning + deploying local LLMs feel more like a normal app workflow, and I wanted to share it. What I made NTTuner (fine-tuning + deployment GUI) A desktop GUI app that covers the full fine-tuning workflow end-to-end: LoRA fine-tuning (GPU via Unsloth, with CPU fallback) Automatic GGUF conversion Direct import into Ollama Real-time training logs (non-blocking UI) Reproducible config saving NTCompanion (dataset builder) A dataset creation tool […]

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The Motion Planning course is going faster than I expected. I completed 2 weeks within 5 days. Thats good I guess, since it means I might get to the Capstone project before I take a vacation to India. Heres the stuff from this week: Graphcore and the Intelligent Processing Unit (IPU) Graphcore aims to disrupt the world of ML-focussed computing devices. In an interesting blog post, they visualize neuron connections in different CNN architectures, and talk about how […]

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Key Highlights: Meta has been under the European Commission’s radar for multiple reasons in the past. Now, it seems Facebook’s parent company is yet again in hot water in the EU. This time, the issue that the EC has flagged is related to access for third-party AI assistants inside WhatsApp. Late last year, the EU launched a probe into the matter. At the time, the EC said that its investigation would cover all regions in the EU except […]

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Previous Post : https://www.reddit.com/r/MachineLearning/s/9E5DmSRwZc Hello everyone, Thank you for the kind support and constructive Feedback on the previous post I have being working on this project for the past 7 months and now LEMMA has 450+ Mathematics Rules which it can use to solve problem, the NN which is used to “Guide” the MCTS is now 10x more larger having 10 million parameters compared to 1million previously, this improves the overall accuracy and the ability to “Think” for […]

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Published on February 4, 2026 5:39 PM GMT When economists think and write about the post-AGI world, they often rely on the implicit assumption that parameters may change, but fundamentally, structurally, not much happens. And if it does, it’s maybe one or two empirical facts, but nothing too fundamental.  This mostly worked for all sorts of other technologies, where technologists would predict society to be radically transformed e.g. by everyone having most of humanity’s knowledge available for free […]

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