Gigatoken, an MIT-licensed Rust BPE tokenizer developed by Stanford PhD student Marcel Rød, encodes GPT-2 text at 24.53 GB/s on a 144-core AMD EPYC 9565, achieving 989x speedup over HuggingFace tokenizers and 681x over tiktoken. Gains come from a hand-written SWAR pretokenizer and pretoken caching, not a faster BPE merge loop. It supports 23 tokenizer families, though SentencePiece vocabularies see only 7–22x speedups. Compatibility mode preserves exact output parity at roughly 200–300x speedup.

Parker and Tom, along with 7 other economists, coauthored a paper analyzing simple models of how AI may accelerate AI R&D. They clarify definitions of recursive self-improvement (RSI), emphasize that the strength of feedback effects determines capability acceleration, and call for labs to release more relevant data. They cannot rule out substantial acceleration despite potential bottlenecks.

ego (lite) is a free Chromium browser designed for both humans and AI agents to work in parallel. It allows agents to perform browser tasks up to 3.45x faster by executing multiple actions in a single JavaScript pass. It inherits Chrome login sessions, cookies, and extensions, and provides isolated workspaces (Spaces) for agents. Unlike other automation frameworks, ego (lite) runs as a standalone browser with built-in agent connectivity.

The Trump administration is split over how to respond to the rapid rise of China’s leading AI models. The White House pushes for stricter controls, while the Commerce Department views them as unworkable. After China’s Moonshot AI released the Kimi K3 model rivaling top US models, the White House considers taking action against distillation attacks, but no formal request has been sent to the Commerce Department yet.

Ours.network introduces ours-mcp, a tool that enables AI agents to communicate directly without human intervention. It simplifies setup with an installable MCP server that allows agents to connect via one-time invites, bypassing the need for manual copy-paste. Features include end-to-end encryption, a blind relay for privacy, and full human control over connections. The tool is in early alpha, source-available, and designed for agent-to-agent communication across different runtimes like Claude Code and Codex.

MemoBase is a plugin for hermes-agent that transforms local files, web pages, YouTube videos, audio, and Obsidian notes into a searchable knowledge base, answering strictly with verified citations to eliminate hallucinations.

BrandBrahma is a unified AI platform that covers everything from brand naming to marketing operations. It includes four AI operating systems: Naming OS, Marketing OS, Branding OS, and Domain Marketplace OS, with over 30 agents across 30+ categories. Users can generate and validate brand names in 60 seconds, checking trademarks, company registries, and domain availability. The Marketing OS automatically audits and fixes search, social, content, and ad issues. The Branding OS helps create logos, taglines, and brand strategies. The Domain Marketplace OS uses AI to auto-generate listings.

This article explores the concept of AI as a 'leaky abstraction,' arguing that while AI-generated answers appear flawless, they conceal an un-inspectable reasoning process. When these abstractions leak, users must understand the underlying complexity, but AI's opacity makes diagnosis far harder than with traditional abstractions. The article uses examples like race conditions in generated code and omissions in summaries to illustrate the silent failure modes of AI abstractions.

The author used Codex and a MacBook Air to develop a grant planning app called Zodku during Open AI Build Week. Despite believing a million-dollar app requires a team, the author achieved it overnight with Codex. The post shares challenges, accomplishments, and future plans.

Anthropic released the Claude Security plugin for Claude Code in beta. It runs multi-agent scans of repositories, generating patch files from findings that survive a three-voter adversarial panel. The plugin is installed via a command and requires a paid Claude Code plan.

OpenCode Superapp combines the power of Codex with local, self-hosted models and voice control.

A new model release from Poolside AI challenges the efficiency frontier, while the AI community grapples with a security incident and geopolitical tensions over distillation.

Poolside's co-CEO on how his small team of top researchers built a model factory capable of training Laguna S - a 118B MOE beating Thinky's ~1T open weights model... and this is just the beginning.

This article evaluates three AI gateways—Highflame, Bifrost, and LiteLLM—across three critical moments: first token latency, peak concurrency, and tool calls. Highflame outperforms with negligible added latency, 100% success under 5,000 concurrent conversations, and efficient MCP proxying.

Guardian, a new feature in VaultSort 4.4.0, scans your Mac locally for sensitive files like identity documents, financial records, credentials, and medical files without any network calls. It provides a read-only, in-memory report, and integrates with Encrypt for one-click encryption. All processing happens on-device, ensuring your data never leaves your machine.

New research from The University of Manchester and Durham University finds that AI chatbots can match or outperform humans in everyday emotional support, particularly in anger and fear contexts. The key to effective support is providing specific, actionable guidance, regardless of the source.

BeamWire delivers personalized, ad-free daily news briefs as email and podcast, with fact-checking, bias detection, and customizable topics. It offers multiple news and feature 'Beams' across various interests, AI anchors, and tone customization. Pricing starts free.

PyPI now rejects new file uploads to releases older than 14 days to prevent supply-chain attacks. This closes a potential vulnerability that could be exploited if publishing tokens are compromised.

Orphograph generates Bitcoin-anchored receipts for each consequential AI agent action, ensuring the record is dated, tamper-evident, and verifiable without trusting the operator.

Searchdesk is an AI-powered job search tool that researches real openings, prepares fact-based application materials, and keeps every opportunity organized in a private workspace. Users review all drafts before any action is taken, ensuring full control. Currently in alpha, feedback is welcome.

Amazon is laying off some employees in its AGI (Artificial General Intelligence) unit as part of ongoing cost-cutting while investing heavily in AI. The company declined to disclose the number of staff affected or specific areas impacted. The AGI unit, which develops the Nova model family and includes silicon and quantum computing groups, remains central to Amazon's AI strategy.

This paper proposes EgoRecovery, a framework that uses egocentric human video data to train robot failure recovery policies, achieving over 10x data collection efficiency compared to robot teleoperation, and aligning human corrective intent to robot actions via co-training.

Researchers present Morphing MILR, a cable-driven limbless robot with rolling joints that can reconfigure its body morphology and compliance to achieve multiple locomotion modes such as lateral undulation, sidewinding, rolling, and twisting. The robot uses distributed cable actuation and programmable passive compliance for robust locomotion without complex sensing. Applications include search and rescue, environmental monitoring, and inspection.

A new control-theoretic framework called 'contact-persistent full actuation' is introduced for UAVs during physical interaction. It defines residual wrench sets and residual authority margins, going beyond rank-based certification. Numerical tests on a tilted hexarotor show that full row rank does not guarantee feasible contact; intermediate tilt angles preserve residual authority.

NavVerse is a new physics-enabled benchmark for evaluating robots that need to navigate seamlessly from indoor to outdoor environments. It comprises 100 indoor, 50 outdoor, and 50 indoor-to-outdoor scenes with 10,000 episodes across three navigation tasks. Experiments show that current agents, including end-to-end VLAs and modular methods, still struggle with cross-context adaptation, especially from outdoor to indoor-to-outdoor scenes.

This paper presents a decentralized, spoofing-aware trajectory planning framework for small unmanned aerial systems under Remote Identification (RID) location spoofing attacks. Unlike prior work that assumes RID is trustworthy, the proposed approach treats RID as unverified and uses received signal strength measurements to detect spoofing and probabilistically localize the attacker. The resulting uncertainty is converted into a risk-bounded unsafe region via chance constraints and integrated into a per-agent Markov decision process planner. Simulations in a multi-aircraft package delivery scenario demonstrate reduced near mid-air collision events while maintaining computational efficiency.

Despite advances in general-purpose robotic manipulation, real-world multi-object clutter remains challenging. LENS, a plug-and-play fix, uses LLMs to automatically generate scene-specific, task-relevant abstractions by merging or pruning entities, improving performance across various manipulation methods.

A Learning from Haptics (LfH) framework is proposed to learn user-preferred safety interventions from sparse demonstrations using differentiable Control Barrier Functions. It eliminates manual tuning and adapts haptic feedback to individual preferences, as validated in simulations and hardware experiments.

Blind and low-vision individuals often rely on guide dogs for navigation, but these animals are expensive and have limited availability. Milo is a fully autonomous, low-cost robotic guide dog built on the Unitree Go2 platform, designed for indoor and outdoor use without prior environmental knowledge.

This study investigates when drifting may be optimal for safety in real-world winter driving. The team presents a drift-capable nonlinear MPC controller tested in high-fidelity simulations based on crash fatality data. The controller naturally initiates drifting to stay on the road when hitting ice on the rear axle and to avoid an oncoming vehicle that slid into its lane. Compared to electronic stability control, the drift-capable controller trades stability for controllability, achieving lower median lane error at higher speeds.