Linus Torvalds defends the use of AI coding tools in Linux development, calling AI a pragmatic tool based on technical merit. He acknowledges AI isn't perfect but urges critics to first look at human shortcomings. Despite studies showing decreased productivity with AI tools, Torvalds emphasizes their utility and reveals he uses 'vibe coding' tools in his hobby projects.
Torvalds says AI is a useful tool and criticism should be based on technical merit, not fear.
He acknowledges AI's imperfections but notes human maintainers also have flaws.
The chipmaker is fleshing out its physical AI ecosystem, from foundation models and edge hardware to software, developer tools and industrial partnerships.
Nvidia expands physical AI strategy covering robotics and edge computing
Introduces foundation models and edge hardware for AI applications
NeoSigma has built a sandbox infrastructure that provides autonomous agents with a safe, isolated, and fully functional execution environment, enabling them to work as if on a real developer workstation while ensuring every action is controlled, reproducible, and disposable.
The sandbox features four core planes: control, execution, security/networking, and data.
Warm pools and intent prediction minimize startup latency, allowing agents to start working almost instantly.
26 Meta employees sued the company, alleging its AI systems targeted workers on medical or family leave for layoffs, violating laws protecting pregnant, disabled, and on-leave employees. Meta denies the claims, saying workforce decisions are made by people, not AI.
26 employees sue Meta, claiming AI discriminated against those on protected leave. Meta laid off 8,000 in May.
Lawsuit details use of AI to monitor keystrokes and train 'second brain' agents. Workers seek court order and independent audit.
The article addresses the challenge of proving ROI for agentic AI in financial services, noting that traditional monitoring fails with multi-agent systems' dynamic costs. Using two real-world use cases—RFP processing automation and AML compliance monitoring—it demonstrates how combining LangChain's observability tools (LangSmith, LangGraph) with Pay-i's economic intelligence platform connects engineering metrics to business value, enabling leadership to see clear returns on AI investments.
Multi-agent AI systems have a dynamic cost structure that traditional FinOps tools cannot handle.
LangSmith provides engineering-level observability; Pay-i links costs to business outcomes.
Amazon Quick is an AI assistant that helps sales reps spend more time selling by automating CRM updates, prospect research, email drafting, and more. It covers the entire sales cycle from lead scoring to CRM automation.
Amazon Quick automates lead scoring and prioritization using CRM and other data.
It enables personalized outreach with context-aware email generation.
Scott Galloway draws parallels between the current AI boom and the dot-com bubble of 1999, warning that the AI bubble is beginning to unravel but may have a twist ending. He traces the cascading failures from B2C to infrastructure and argues that the true beneficiaries of AI will be users, not shareholders.
OpenAI's financials mirror dot-com era: massive losses, unsustainable business model, and a bailout proposal
Circular financing and overspending in AI raise red flags, with companies already cutting usage
TikTok is testing an opt-in tool that scans for AI-generated likenesses and allows creators to report unauthorized uses, initially with select US creators.
TikTok begins testing AI likeness detection tool with some US creators.
Creators must verify identity via Jumio before using the tool.
Chai Discovery Inc. announced a $400 million Series C funding round, tripling its valuation to $3.8 billion. The company develops AI models to predict biochemical interactions, and its latest model Chai-3 achieves 35-40% hit rates for molecular targets. It has secured partnerships with Pfizer, Eli Lilly, and Novartis, though no AI-discovered drug has yet been approved despite significant investment.
Chai Discovery raises $400M Series C, valuation jumps to $3.8B
New AI model Chai-3 doubles success rates for molecular interaction targets to 35-40%
Simon Willison describes three capabilities that are individually fine but devastating together: access to private data, exposure to untrusted content, and the ability to exfiltrate data. An AI agent combining all three is vulnerable to hijacking. A free, no-signup puzzle game teaches these concepts across 10 levels.
The three capabilities: private data access, untrusted content exposure, and data exfiltration.
Together, they allow untrusted content to hijack the agent and leak private data.
Coach’s Corner is a Databricks App that transforms 25 fps match tracking data into a sub-second 2D/3D tactical bench with replays, event analytics, a scout chat, and an opponent-dossier agent. It runs on one platform, powered by Databricks end-to-end: Lakeflow pipelines refine 51 million rows through bronze, silver, and gold; DBSQL queries them in 1-3 seconds; and Lakebase serves them to the app in milliseconds. The AI layer is grounded in governed data, including a Genie space for scouting questions, Vector Search for similar players, and an agentic dossier that calls an LLM served through the Unity AI Gateway, with every step traced in MLflow.
Coach's Corner unifies data ingestion, transformation, and AI on a single platform for real-time tactical insights.
Uses Spark Declarative Pipelines to process 51 million rows and DBSQL for 1-3 second query responses.
This post provides a high-level overview of the Smartsheet remote MCP architecture, focusing on the AWS infrastructure behind it, including security, governance, scaling, deployment, and AI-specific optimizations.
Smartsheet built a remote MCP server on AWS to give AI clients direct access to its data and capabilities.
Key AWS services include AWS Fargate, Amazon Kinesis, Amazon Bedrock, and Amazon Neptune.
Startup Factory is an open-source framework that turns project management boards into a governed delivery system for AI agents. It supports multiple trackers, provides layered safety boundaries, and enables deterministic orchestration of cross-functional AI teams.
Startup Factory connects project management tools (Jira, Linear, GitHub Issues, Markdown) to AI agents for end-to-end product delivery.
It features a deterministic PM supervisor that checks boards every 3 minutes, routes tasks to appropriate agent teams, and enforces safety and governance.
The article argues that AI memory is the new vendor lock-in, with no real portability existing in July 2026. It identifies three types of lock-in (behavioral, context, relationship), praises early movers like Cognee and ByteRover, but stresses that a neutral interchange standard is needed, as single-vendor formats are just dialects. Regulatory pressure in Europe may accelerate the need.
As of July 2026, there is no practical portability for AI memory; switching platforms means starting from scratch.
Memory lock-in comes in three layers: behavioral, context, and relationship, with relationship being the hardest to migrate.
Bunkerhill Health has raised $55 million to scale its agentic AI platform, Carebricks. The platform is already live at Cleveland Clinic, UTMB, and Intermountain Health. UTMB has deployed over 20 agents across clinical, operational, and administrative workflows, reporting early wins such as a coronary calcium detection agent that flagged a patient at imminent heart attack risk, leading to a life-saving triple bypass.
Bunkerhill Health closes $55M Series B with participation from Sequoia Capital, Khosla Ventures, and others.
Its agentic AI platform Carebricks allows hospitals to build custom AI agents for clinical, operational, and administrative tasks.
Apple is suing OpenAI. The complaint is readable and intense, as these things often are, though many experts seem to think many of the allegations are just the ways things are done. So what does Apple really want here, and why is it picking such a public fight with OpenAI? On this episode of The Vergecast, Nilay and David go through the lawsuit, and look at Apple's history of splashy litigation to determine whether Apple is worried about a possible competitor or simply looking to capitalize on a weak moment for OpenAI. All this is happening as Apple ships the public betas of its new software, headlined by the new Siri AI, and we have thoughts about what it all means — and whether the new Siri is actually any good.
Apple sues OpenAI; experts say allegations are standard industry practices.
Apple's motive: fear of competition or exploiting OpenAI's weakness?
This issue of The Download covers the hype and misinformation around perimenopause, China's new open-source AI model that narrows the gap with the US, and other tech stories including Trump Media's monetization, an atmosphere on an Earth-like planet, brain implants restoring feeling, and more.
Perimenopause discussions are more open but increasingly filled with misinformation and unsupported treatments.
A Chinese startup released the world's largest open AI model, competing with US models and impacting stocks.