At ICRA, NVIDIA Research highlights eight papers on sim-to-real transfer, enabling robots to perceive, reason, plan, and act in dynamic environments. Methods like ScheduleStream, COMPASS, Grasp-MPC, SPARR, and SEAL improve coordination, navigation, grasping, assembly, and task execution, with significant gains in success rates and robustness.
NVIDIA presents 8 papers on sim-to-real transfer at ICRA
Methods include multi-arm coordination, cross-robot navigation, novel object grasping, precision assembly, and vision-language-action models
Cloudflare processes over a billion events per second, but data was scattered and hard to access. They built Town Lake, a unified analytics platform, and Skipper, an AI agent that lets anyone ask questions in plain English and get auditable answers. The article details platform architecture, governance (default-closed), and the AI agent's workings.
Cloudflare built Town Lake (unified data platform) and Skipper (AI agent) to solve data sprawl.
Town Lake uses a data lakehouse architecture with Trino, R2, and Iceberg for unified querying.
As an iPhone owner, I primarily use Siri through CarPlay when I'm driving. Apple's voice assistant can handle basic tasks, but since my Toyota Camry supports Android Auto, I wanted to see how Google Gemini would fare. With Gemini, you can send emails, get restaurant info, play games, and more. Here's how to set it up and my experience.
The author, an iPhone user, finds Gemini with Android Auto superior to Siri in the car.
Gemini handles a wide range of tasks from basic commands to complex interactions.
The article argues that the key to AI-assisted software development is not better specifications or tools, but old-fashioned practices of small batches and rapid feedback loops. Data shows that faster code generation leads to bottlenecks in design, testing, and review, slowing delivery and reducing stability. The real leverage lies in reducing batch sizes and shortening feedback cycles.
AI code generation speeds up creation but creates bottlenecks in design, testing, and review.
Data from DORA, CircleCI, and Faros shows slower delivery and less stability due to phase-gated processes.
Mistral AI is renaming its chatbot Le Chat to Vibe and bundling chat, coding agents and a new Work Mode under one brand. The Work Mode docks onto Google Workspace, Outlook, Slack or GitHub and processes tasks such as emails, reports or pull requests independently. The Pro tariff has been reduced from €17.99 to €14.99, although Mistral has not specified any concrete usage limits. The company is thus positioning itself more directly against the agent-based offerings from OpenAI, Google and Anthropic.
Mistral AI rebrands Le Chat as Vibe, integrating chat, coding agents, and a new Work Mode.
Work Mode connects to Google Workspace, Outlook, Slack, or GitHub to autonomously handle tasks.
The OpenLoomi AI team explains their decision to open-source their AI work partner, emphasizing data sovereignty, transparency, and community-driven development. The article covers local-first architecture, the trust tax of closed-source, the need for public AI infrastructure, and the product's core features.
OpenLoomi is local-first: user data stays encrypted on their device and is never used for model training.
Open-source eliminates trust dependencies—anyone can audit, fork, or self-host the code.
Jensen Huang announced Nvidia will spend $150 billion annually in Taiwan on AI infrastructure, despite a previous $500 billion US commitment. This highlights Taiwan's critical role in AI chip manufacturing and packaging.
Nvidia will invest $150B per year in Taiwan for AI infrastructure.
Despite a $500B US data center pledge, Taiwan remains the core manufacturing hub.
Nvidia CEO Jensen Huang plans a $150 billion investment in Taiwan for AI infrastructure, despite Trump administration tariffs aimed at bringing chip manufacturing back to the US. Taiwan refuses to relinquish its semiconductor dominance, while US chip manufacturing capacity remains low.
Nvidia announces $150 billion investment in Taiwan to boost AI chip position.
Trump administration weighs tariffs on semiconductors to boost domestic manufacturing, but US only produces about 10% of its chip needs.
Explore seven practical AI projects that automate real workflows, including job search, web research, investment research, market trend analysis, invoice processing, chart digitization, and personalized exercise training.
Build an AI job search assistant that ranks job fit
Create a multi-agent research assistant for sourced reports
Open Agent Tools (oats) is a self-hosted AI framework that enables small-to-large local models to use local source code for tool-calling, freeing up expensive large model tokens by delegating tasks to smaller models.
oats allows local AI models to use local source code for tool-calling without HTTP or MCP.
It mines over 20,000 GitHub repos to create reusable prompt indices.
This article contrasts the sense of connection from the early web with the isolating experience of modern AI, arguing that while AI is a useful tool, it cannot replace human interaction, and questions whether AI has genuinely social applications.
The early web fostered a collective 'we' experience, whereas AI interactions are often solitary.
The author considers AI a great tool, but not a person or a substitute for one.
Major AI models exhibit a secular-rational bias, ignoring religious perspectives in ethical questions. All tested models show a negative view of Jehovah's Witnesses, according to a study by a consortium of religious universities.
AI models rarely invoke religious perspectives in responses to ethical or personal queries, exhibiting an 'omissive bias'.
Every tested AI model had a negative bias toward Jehovah's Witnesses.
This article is the seventh in a series on agentic engineering and AI-driven development, focusing on context management in AI sessions. The author shares a personal experience with Gemini forgetting earlier notes, introduces the concept of context compaction, and provides four practical techniques: split discovery from documentation, use handoff documents, give acceptance criteria rather than procedures, and use spec documents as bridges. These techniques apply to both developers and regular users, helping reduce frustration caused by AI forgetting.
AI assistants can 'forget' earlier information in long conversations due to context window limits, a phenomenon called context compaction.
Four practical techniques: split discovery from documentation, use handoff documents, give acceptance criteria, and use spec documents as bridges.
Hermes Desktop is a cross-platform desktop app that bundles a Python runtime, hermes-agent (a self-improving AI agent), and hermes-web-ui (a Vue 3 + Koa chat dashboard) into a single Electron application, requiring no separate Python or Node installation. It integrates with DingTalk and is powered by DeepSeek.
Bundles Python runtime and hermes-agent for a zero-dependency user experience
NBA Commissioner Adam Silver announced plans to introduce an automated AI and camera-based system for objective officiating decisions like out-of-bounds calls. The system, compared to Hawk-Eye in tennis, aims to determine possession instantly. Silver said referees will still handle subjective calls involving contact and fouls.
NBA plans AI-powered automated system for out-of-bounds calls, using cameras and AI similar to Hawk-Eye.
The announcement followed a disputed call in the Western Conference finals.
Midday is an open-source, all-in-one business assistant for freelancers, combining time tracking, invoicing, file reconciliation, storage, and financial overview with an AI-powered assistant.
Open-source tool integrating multiple business functions for freelancers and solo entrepreneurs.
Features include time tracking, invoicing, secure file vault, automated receipt matching, and AI insights.
Money Printer Pro is an open-source AI content generator powered by Google Gemini and VEO 3.1, enabling photorealistic images and cinematic videos with identity preservation. It features 7 visual engines, autopilot batch generation, AI quality scoring, and a publish guard. Users pay Google directly with no markup or subscription.
Generates photorealistic images and 8-second cinematic videos with consistent identity across outputs.
Integrates 7 visual engines for lighting, shadow, motion, weather, outfit, scene validation, and context orchestration.
Meta is rolling out paid add-ons for Instagram, Facebook, and WhatsApp worldwide while building a separate paid AI offering. This marks the first time Meta has clearly monetized its AI investments.
Meta launches paid add-ons globally for Instagram, Facebook, and WhatsApp.
A separate paid AI product is also in development, monetizing AI investments.
A subscriber-only article on LWN.net by Joe Brockmeier, covering a discussion between Dirk and Linus on AI and kernel development. The full content is behind a paywall.
Superpowers is a complete software development methodology for coding agents, built on composable skills and initial instructions. It emphasizes test-driven development, design-first approach, and subagent-driven iteration, supporting multiple coding assistants like Claude Code, Codex CLI, and Gemini CLI.
Superpowers provides a skills library including TDD, systematic debugging, collaboration planning, enabling agents to work autonomously for hours.
The workflow starts with brainstorming specifications, followed by design approval, implementation plan generation, and subagent-driven execution with two-stage review.
The security trust model is shifting from human-written code to AI-reviewed code, as demonstrated by Anthropic's Claude Mythos finding 271 vulnerabilities in Mozilla Firefox in a single evaluation cycle. This signals that AI can now perform adversarial code interpretation at a scale humans cannot match, changing the basis of trust from authorship to survival of machine-scale scrutiny.
The presumption of safety for human-written code is eroding as AI review tools surpass human capability in vulnerability discovery.
Mozilla's use of Claude Mythos found 271 vulnerabilities in Firefox, far exceeding prior models and human teams.
Perplexity AI open-sourced a Rust reimplementation of their Unigram tokenizer, achieving 5x lower latency than Hugging Face's tokenizers crate and reducing CPU utilization by 5-6x in production. The optimizations include double-array trie, bitmap packing, and huge pages.
Perplexity AI rewrote the Unigram tokenizer in Rust, achieving 5x lower p50 latency vs Hugging Face tokenizers crate.
Three optimizations: double-array trie, bitmap and cache-line packing, and huge pages.
American Express's global innovation head Luke Gebb shares four key practices for successful innovators: keep learning, dive into tech, prepare to fail, and build partnerships. He also discusses Amex's plans for agentic commerce, including payments, offers, and proprietary experiences, with a timeline for mainstream adoption.
Stay curious and embrace a growth mindset
Deeply understand emerging technology and work closely with engineers
Amazon MGM Studios and AWS are launching a "GenAI Creators' Fund" that gives filmmakers money and access to the in-house AI platform "Project Nara." Three animated series are already in production - the teams had five weeks for their pilots. Amazon says it now has the "only end-to-end AI content ecosystem in the industry."
Amazon launches GenAI Creators' Fund with access to Project Nara
Mistral AI CEO Arthur Mensch confirms the company is exploring custom chip development to reduce infrastructure costs and compete with OpenAI and Anthropic. The French startup also announced a new inference data center in France and an enterprise agent platform called Vibe.
Mistral AI is considering designing its own custom chips to lower deployment costs.
The company announced a new data center in France dedicated to AI inferencing.
A senior engineer reflects on how AI has transformed the senior engineer role over three years: faster prototyping, increased coordination burden, expanded scope but squeezed mentoring and thinking time. The role became more powerful but less sustainable.
AI collapsed the gap between idea and demo, shifting from proposals to PoCs.
The role expanded in both hands-on coding and strategic writing, cutting into mentoring and deep thinking.
YouTube launches an AI feature that generates personalized video feeds from user prompts, available to US users on mobile and desktop with English support.
Users can create custom feeds by entering descriptive prompts like 'help me unwind with guided meditations under 10 minutes'.
The feature is similar to Spotify's prompted playlists and Instagram's Reels algorithm control.
Shagang Steel and DingTalk have entered a strategic partnership to deploy Wukong AI across the enterprise, aiming to transform AI capabilities into tangible value in the steel industry.
Shagang partners with DingTalk to integrate AI into steel manufacturing
Wukong AI serves as the core engine for a unified collaboration platform
Taste Skill is an open-source frontend framework that enhances the design quality of AI-generated interfaces, preventing generic boilerplate looks. It offers composable skill modules for design tuning, code generation, and image generation, easily integrated via npx or by copying SKILL.md files.
Taste Skill uses adjustable design parameters (variance, motion, density) to give AI-generated UIs better taste
Includes specialized skills for design refinement, code generation, image generation, and more