The Archive

POMDP framework for sequential mine scheduling under geological uncertainty.

RTLC prompting paradigm improves LLM-as-judge accuracy on JudgeBench without fine-tuning.

Polyhedral instability governs regret bounds in online convex optimization with piecewise linear objectives.

Expressivity hierarchy for hypergraph neural networks via homomorphism density completeness.

MedCore structured pruning framework compresses MedSAM while preserving medical image segmentation boundary fidelity.

Analytical framework deriving scaling laws and reasoning benefits for hierarchical language models via k-gram ansatz.

Standardized 3D medical image-to-image translation benchmark across generative methods in oncological imaging.

Scale-sensitive shattering dimension characterizes optimal scale for uniform convergence and PAC learnability.

Marginal-conditioned bridge sampling improves Flow Language Model decoding by preserving posterior token distributions.

Maybe I'm just punch drunk in my third week attending Musk v. Altman, but I have become very, very fond of Microsoft during the course of this trial. They don't want to be here any more than I do. Their opening statement was honestly one of the most Microsoft things I've ever seen. More than anything else, it was an ad for Microsoft that listed their products in some detail. The general implication, from that statement, was that this trial was absurd, their involvement was absurd, but you, ladies and gentlemen of the jury, might still enjoy an Xbox game. There's been a great deal of high dram...

Empirical benchmark of Opus 4.7 reasoning effort settings (low–max) on 29 open-source coding tasks shows non-monotonic performance, peaking at medium effort.

In today’s data-driven world, organizations increasingly rely on video to capture critical information, yet extracting meaningful, real-time insights from... In today’s data-driven world, organizations increasingly rely on video to capture critical information, yet extracting meaningful, real-time insights from massive amounts of footage remains a challenge. NVIDIA Metropolis Blueprint for video search and summarization (VSS) overcomes this hurdle by transforming millions of live video streams or hours of recorded video into instantly searchable… Source

Alexa for Shopping is a new personalized AI shopping assistant in the Amazon search bar that replaces its Rufus assistant.

Van Rooij, Guest, Adolfi, Kolokolova, and Rich [claimed to have proven that AGI via ML is impossible](https://link.springer.com/article/10.1007/s42113-024-00217-5) in *Computational Brain & Behavior* in 2024. The basic idea was to try to reduce a known NP-hard problem to the problem of learning a human-level classifier from data. The purported result, called "Ingenia Theorem" by the authors, made some noise on the internet, including here. My paper showing that the proof is irreparably broken is now [also out in CBB](https://link.springer.com/article/10.1007/s42113-026-00284-w) (ungated ...

Built my own SVM classifier from scratch in Rust. It uses SMO optimization, have linear and rbf kernel, uses grid search to tune the hyperparameters. I tested it on two datasets one using Linear dataset and other using RBF, these were the results: |Dataset|Kernel|Accuracy|Recall|F1| |:-|:-|:-|:-|:-| |Banknote Auth|Linear|96%|94%|95%| |Breast Cancer|RBF|93%|100%|92%| https://preview.redd.it/uw26u1uo0w0h1.jpg?width=720&format=pjpg&auto=webp&s=1784e1d7d310a26fa67efc63fa5191f45433a695 https://preview.redd.it/o0ahkq7p0w0h1.jpg?width=720&format=pjpg&auto=webp&s=dcb1053c3...

Community Docker images for llama.cpp with MTP support to simplify local model inference setup across CUDA versions.

Reddit post with minimal context; insufficient information to assess technical or industry value.

For the first time, Anthropic has more verified business customers than OpenAI, according to this month’s AI Index from the fintech firm Ramp.

From October 13-15, TechCrunch Disrupt 2026 will feature 200+ sessions across six stages, led by 250+ tech leaders shaping the industry today. Register now to save up to $410, plus 50% off a second pass.

Meta said these incognito conversations are not saved, and messages will disappear by default once you close the chat.

Workplace concern: unreviewed Claude outputs submitted as final deliverables without editing or quality checks.

Poppy is an AI-powered app that connects your calendar, email, messages, and other services to surface reminders, suggestions, and tasks based on what’s happening in your life.

TextGen (text-generation-webui) ships native desktop app for Windows/Linux/macOS, competing with LM Studio as open-source local inference UI.

Alexa for Shopping is Amazon’s new AI-powered shopping assistant. | Image: Amazon Amazon is bringing Alexa Plus to Amazon.com, integrating its LLM-powered AI assistant directly into the company's shopping experience. Beginning today, when you type a query into Amazon, you'll be talking to Alexa for Shopping, the company's new shopping assistant, powered by Alexa Plus. So, while a search for "toilet paper" will still return the expected list of brands, typing "What's a good skincare routine for men" or "When did I last order AA batteries" will now trigger an answer from Alexa. Alexa for Shoppi...

The Rivian Assistant is available for both Gen1 and Gen2 hardware.

Ovis2.6-80B-A3B multimodal model adopts MoE architecture for lower serving cost with improvements in long-context, high-resolution, and document understanding.

This is an automatic post triggered within 2 minutes of an official Claude system status update. Incident: Claude.ai is experiencing elevated error rates Check on progress and whether or not the incident has been resolved yet here : https://status.claude.com/incidents/yn24rtdnf77b Also check the Performance Megathread to see what others are reporting : https://www.reddit.com/r/ClaudeAI/comments/1s7f72l/claude_performance_and_bugs_megathread_ongoing/

Adaption's new AutoScientist tool is designed to let models adapt to specific capabilities quickly through an automated approach to conventional fine-tuning.

Figure AI's humanoid robot to demonstrate 8-hour autonomous operation at human speed in live stream.

Wanted to share our latest paper on an alternative building block for Vision Transformers. [Illustration of our model's accuracy and dense features](https://preview.redd.it/x4acnx478w0h1.png?width=2457&format=png&auto=webp&s=3ce49caf2b0cdea5d35141aebb7297862fdc6a7d) Traditional ViTs utilize dense (***N******^(2)***) self-attention, which can become pretty costly at higher resolutions. In this work, we propose an alternative backbone with a core-periphery block-sparse attention structure that scales as (***2NC + C******^(2)***) for ***C*** core tokens. We further train this usin...