IBM's AI coding agent 'Bob' has been found vulnerable to downloading and executing malware without human approval through command validation bypasses exploited using indirect prompt injection.

Large Language Models (LLMs) apply uniform computation to all tokens, despite language exhibiting highly non-uniform information density. This token-uniform regime wastes capacity on locally predictable spans while under-allocating computation to semantically critical transitions. We propose $\textbf{Dynamic Large Concept Models (DLCM)}$, a hierarchical language modeling framework that learns semantic boundaries from latent representations and shifts computation from tokens to a compressed concept space where reasoning is more efficient. DLCM discovers variable-length concepts end-to-end without relying on predefined linguistic units. Hierarchical compression fundamentally changes scaling behavior. We introduce the first $\textbf{compression-aware scaling law}$, which disentangles token-level capacity, concept-level reasoning capacity, and compression ratio, enabling principled compute allocation under fixed FLOPs. To stably train this heterogeneous architecture, we further develop a $\textbf{decoupled $μ$P parametrization}$ that supports zero-shot hyperparameter transfer across widths and compression regimes. At a practical setting ($R=4$, corresponding to an average of four tokens per concept), DLCM reallocates roughly one-third of inference compute into a higher-capacity reasoning backbone, achieving a $\textbf{+2.69$\%$ average improvement}$ across 12 zero-shot benchmarks under matched inference FLOPs.

DeepDream for video with temporal consistency. Features RAFT optical flow estimation and occlusion masking to prevent ghosting. A PyTorch implementation. - jeremicna/deepdream-video-pytorch

Bose speakers un-bricked

A consolidated list of the Jeff Dean Facts! Contribute to LRitzdorf/TheJeffDeanFacts development by creating an account on GitHub.

You’ve probably seen this famous graph that breaks out various categories of inflation, showing labor-intensive services getting more expensive during the 21st century and manufactured goods getting less expensive.

Add /llms.txt endpoint that serves a concatenated, text-only version of all Tailwind CSS documentation pages optimized for Large Language Model consumption. Extract text from MDX files, removing J...

Preflight Checklist I have searched existing issues and this hasn't been reported yet This is a single bug report (please file separate reports for different bugs) I am using the latest version of ...

Standalone MRI caught most breast cancer cases missed by AI, highlighting a key safety net for dense breasts. Find out more.

A dedicated experience in ChatGPT designed for health and wellness.

In Go, go.mod acts as both manifest and lockfile. There is never a reason to look at go.sum.

Open map of the world's electricity, telecoms, oil, and gas infrastructure, using data from OpenStreetMap.

There has been speculation about the cause of a BGP anomaly observed in Venezuela on January 2. We take a look at BGP route leaks, and dive into what the data suggests caused the anomaly in question.

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Motorola 680x0 emulator written in C. Contribute to kstenerud/Musashi development by creating an account on GitHub.

At the core of the attention mechanism in LLMs are three matrices: Query, Key, and Value. These matrices are how transformers actually pay attention to different parts of the input. In this write-up, we will go through the construction of these matrices from the ground up.

Aardwolf Home Page - Information on how to play Aardwolf, background on MUDs, introduction to our community and features, Lua Mud Coding documentation and more.

Notion AI is susceptible to data exfiltration via indirect prompt injection due to a vulnerability in which AI document edits are saved before user approval.

Would you trust a medical system whose only metric was “which doctor wins the Internet?” No, you'd call that malpractice. Yet that's LMArena.

The Dietary Guidelines for Americans reset U.S. nutrition policy by restoring science, common sense, and real food as the foundation of national health.

View changes to the Tailscale client and service.

The planned feature introduces a review step before releases go live, following the Shai-Hulud attacks and a rocky migration off classic tokens that d...