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CLAUDE CODE ADDS COMPUTER USE CAPABILITIES

Anthropic introduced computer use in Claude Code, enabling agents to interact with apps, navigate interfaces, and iteratively test and fix code through a closed-loop workflow.

RAY-BAN META: PRESCRIPTION-FIRST STYLES AND MULTIMODAL AI FEATURES

Meta launched prescription-first Blayzer and Scriber styles starting at $499, expanding the Ray-Ban and Oakley lineups with specialized Prizm and Transitions lenses.

AGENT LIGHTNING

Agent Lightning is a trainer that can turn any agent into an optimizable beast with zero code change.

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INTRODUCING CODEX PLUGIN FOR CLAUDE CODE

The Codex plugin for Claude Code gives users a simple way to pull Codex into their Claude Code workflow. It is useful for normal Codex reviews, a more adversarial review, and handing work off to Codex when a second pass from a different agent is required. The plugin delegates through the local Codex CLI and Codex app server, so it uses the system's existing local auth, configuration, environment, and MCP setup.

QWEN3.5-OMNI: SCALING UP, TOWARD NATIVE OMNI-MODAL AGI

Qwen3.5-Omni is a full omnimodal large language model that understands text, images, audio, and audio-visual content. It can process more than 10 hours of audio input and over 400 seconds of 720P audio-visual input at 1 FPS. The model is trained on a massive amount of text and visual data, and more than 100 million hours of audio-visual data. It supports speech recognition in 113 languages and dialects and speech generation in 36 languages and dialects.

MICROSOFT 365 COPILOT GETS CRITIQUE AND COUNCIL MODES

Microsoft 365 Copilot has introduced Critique and Council modes to enhance research capabilities. Critique uses a dual-model system to generate and refine research drafts, outperforming single-model solutions by 13.88% on the DRACO benchmark. Council allows parallel report generation using Anthropic and OpenAI models for impactful comparison and insight aggregation.

A MIRROR TEST FOR LLMS

The proposed "Mirror Test" assesses LLM self-awareness by challenging models to identify their own outputs without explicit cues. Testing reveals that Anthropic's Opus 4.6 model shows notable self-recognition capabilities due to its distinct token outputs, outperforming OpenAI's GPT models, which fail to recognize self-generated tokens. Despite indications of attempted self-marking, no LLM demonstrated consistent self-awareness, as none effectively communicated using message passing.

AI INFRASTRUCTURE ROADMAP: FIVE FRONTIERS FOR 2026

The first generation of AI was a world where progress meant bigger weights, more data, and stellar benchmarks. The landscape has now changed. Big labs are now designing AI that interfaces with the real world. Infrastructure optimized for scale and efficiency won't get us to the next phase. What's needed now is infrastructure for grounding AI in operational contexts, real-world experiences, and continuous learning.

AI APPLICATIONS AND VERTICAL INTEGRATION

AI application companies are increasingly becoming "full-stack" by vertically integrating either downward into the model layer or upward into the service layer. Companies like Cursor and Intercom achieve differentiation and cost efficiency by developing proprietary models, while others, such as Crosby AI and WithCoverage, focus on delivering end-to-end services. As AI capabilities evolve, these strategies allow companies to enhance performance, reduce costs, and offer comprehensive solutions.

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AGENT LABS: WORKLOAD-HARNESS FIT

Workloads vary by volume, value, verification property, time horizons, and other dimensions. This affects how agent labs focus their research efforts. The taxonomy of workloads governs which end markets justify training versus agent engineering. Labs also need to know what it actually costs to execute.

TIMESFM

TimesFM is a pretrained time-series foundation model for time-series forecasting. The model is based on pretraining a patched-decoder style attention model on a large time-series corpus. It works well across different forecasting history lengths, prediction lengths, and temporal granularities.

COMPOSER 2 TECHNICAL REPORT

Composer 2 introduced a two-stage training approach combining continued pretraining and reinforcement learning to improve long-horizon coding, achieving strong results on software engineering benchmarks.

PLENTIFUL, HIGH-PAYING JOBS IN THE AGE OF AI

AI might not eliminate high-paying human jobs due to potential constraints like limited computing power and energy usage. These constraints could lead to the principle of comparative advantage, where humans remain employed in roles despite AI's superior capabilities, because the opportunity cost of allocating AI to all tasks would be too high. As AI advances, human roles could change, but new tasks and increased wealth might sustain or even increase compensation for human jobs.

AUDIT CLAUDE PLATFORM ACTIVITY WITH THE COMPLIANCE API

The Compliance API on the Claude Platform enables admins to audit logs, monitor user activities, and integrate data into existing compliance systems. It tracks admin and system activities, as well as resource activities like file creation or deletion. To access it, organizations should contact their account team and create an admin API key.

CHINA'S DEEPSEEK SUFFERS RARE OUTAGE LASTING SEVERAL HOURS

China's DeepSeek experienced one of its longest outages since the launch of its R1 and V3 models, resolving only after more than eight hours.

STARCLOUD RAISES $170 MILLION SERIES A TO BUILD DATA CENTERS IN SPACE

Starcloud raised $170 million in Series A funding, valuing it at $1.1 billion, to develop data centers in space.

THE STATE OF CONSUMER AI. PART 3: TIME IS MONEY

🚀 TRANSFORMERS.JS V4

Transformers.js v4 features a new WebGPU Runtime that allows the same transformers.js code to be used across a wide variety of JavaScript environments.

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CLAUDE MYTHOS

'Mythos' is the name for a new tier of Anthropic models that are larger and more intelligent than Opus. The models get dramatically higher scores on tests of software coding, academic reasoning, and cybersecurity compared to Claude Opus 4.6. Mythos is a large, compute-intensive model that is very expensive to use and serve. Anthropic is working on making the model much more efficient before any general release.

META TESTS AVOCADO 9B, AVOCADO MANGO AGENT, AND MORE

Meta's Avocado model has been pushed back to at least May as it still falls short of leading systems from competitors. The company appears to be running parallel experiments with multiple Avocado variants. The model appears to be able to solve complex math problems that earlier Llama models could not, but these problems have already been solved by other labs months earlier. Meta's AI leadership has reportedly discussed temporarily licensing Google's Gemini technology. Some requests within Meta AI are already being routed through Gemini models.

ANTHROPIC'S CLAUDE POPULARITY WITH PAYING CONSUMERS IS SKYROCKETING

Anthropic is more popular with customers than ever. Claude is gaining paid subscribers in record numbers. Paid subscriptions have more than doubled this year. The majority of new subscribers were in the lowest tier. OpenAI is still gaining new paid subscribers at a rapid rate and remains the biggest consumer AI platform.

FUNCTION CALLING HARNESS: FROM 6.75% TO 100%

AutoBe is an open-source AI agent that takes a single natural language conversation and generates a complete backend. qwen3-coder-next has a 6.75% function calling success rate when asked to generate API data types for a shopping mall backend. AutoBe boosts that success rate up to over 99.8%. It uses a harness where type schemas constrain outputs, compilers verify results, and structure feedback pinpoints compactly where and why something went wrong so the agent can correct itself. This post dissects the engineering behind AutoBe.

AI'S CAPABILITY IMPROVEMENTS HAVEN'T COME FROM IT GETTING LESS AFFORDABLE

AI's capability improvements at the frontier have not led to increased inference costs relative to human labor. Despite rising per-task inference costs, current models achieve tasks at roughly 3% of human costs without any upward trend in median cost ratios. Models can continue advancing even under strict cost constraints, enabling profitable automation with AI cost ratios remaining well below human levels.

THE CAPABILITY OVERHANG IN AI

Coding agents outperform other domains because codebases provide a self-contained environment of critical context, unlike fragmented knowledge work spread across video calls and legacy systems. Enterprise adoption remains stalled by the three hard problems of context fragmentation, complex access control, and a rapidly shifting architecture landscape.

SCHEDULE TASKS ON THE WEB

Claude Code on the web users can now schedule tasks. The tasks will run on Anthropic-managed infrastructure, so they will keep working even if users turn off their devices. Scheduled tasks are available to all Claude Code on the web users. Example tasks include reviewing open pull requests each morning, analyzing CI failures overnight and surfacing summaries, syncing documentation after PRs merge, and running dependency audits every week.

LAT.MD

lat.md is a spec that agents keep in sync with the code base that helps them understand big ideas and key business logic. It ensures that corner cases have proper high-level tests that matter and can speed up coding by saving agents from endless grepping. The spec uses plain Markdown, with Wiki links connecting concepts into a navigable graph.

WHAT PRETEXT REINFORCED ABOUT AI LOOPS

Pretext is a fast, accurate, comprehensive text measurement algorithm that can lay out web pages without leaning on DOM measurement and reflow. It was created using AI agent workflows. The particular loop that was used in developing the tool (constrain -> measure -> isolate -> classify -> test -> reject -> keep only what survives broad pressure) made the engineering rigorous. This article analyzes the loop to see what makes it so successful.

XAI'S LAST COFOUNDER LEAVES

All remaining co-founders of xAI reportedly departed, marking the complete exit of the original founding team.

THINGS I LEARNED AT OPENAI

OpenAI alumni emphasize the significance of creating effective evaluations and benchmarks, noting that the best benchmarks drive collective optimization efforts. Post-training data design and model alignment are critical for unlocking new AI capabilities, particularly in subjective attributes like empathy or creativity. Fast iteration, choosing the right problems, and leveraging internal tooling are key competitive advantages in AI research.

THREE WEEKS AGO THERE WERE RUMORS THAT ONE OF THE LABS HAD COMPLETED ITS LARGEST EVER SUCCESSFUL TRAINING RUN

That lab was likely Anthropic, which trained Mythos.

LIVE TRANSLATE COMES TO HEADPHONES ON IOS

Google rolled out real-time translation through headphones on iOS, expanding support to more countries and 70+ languages while preserving speaker tone and cadence.

WHY AI IS NOT KILLING THE CYBERSECURITY INDUSTRY, BUT EXPANDING IT EXPONENTIALLY - THOUGHTS FROM RSA

AI-powered exploitation can attack systems at a scale never possible before.

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CLAUDE AI MAKER ANTHROPIC CONSIDERS IPO AS SOON AS OCTOBER

Anthropic is considering holding an initial public offering in October. The company has had early discussions with Wall Street banks on a potential listing. A listing could raise more than $60 billion. Deliberations are ongoing, and no final decisions have been made.

ELON MUSK'S X RESTRUCTURES AHEAD OF SPACEX IPO

X let go of its chief marketing officer and conducted a round of layoffs of nontechnical staff over the last several weeks. The company is right-sizing ahead of its parent company SpaceX's potential $1 trillion-plus IPO. Most of the remaining staff at X have been told to focus on growing the company's revenue. The company plans to launch a payments business, X Money, in early public access next month.

GEMINI 3.1 FLASH LIVE FOR REAL-TIME VOICE AI

Gemini 3.1 Flash Live is a real-time voice model focused on low-latency, natural dialogue. It is available across Google's developer APIs, enterprise tools, and consumer products.

THE AGE OF VERTICAL MODELS IS HERE

Fin, a customer service agent by Intercom, beats the best models in the industry, including GPT-5.4 and Opus 4.5. High-performing, fast, and cheap, the model consistently outperforms competitors while operating at a tremendous scale. It resolves almost 2 million customer issues per week. The model has already grown to nearly $100 million in recurring revenue.

MEET THE AGENTS AT USV

USV built internal AI agents that ingest meeting transcripts, emails, and calendars to create structured “mentions” tied to companies and people, forming a continuously updated internal knowledge base. The system evolved from a simple meeting recap email into a custom CRM after existing tools failed to support real time context aggregation across workflows. USV improved adoption by naming agents, giving them roles and tool access, and embedding them directly into email threads where teams provide feedback that updates agent behavior.