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GOOGLE WILL INVEST AS MUCH AS $40 BILLION IN ANTHROPIC

Google will invest between $10 billion and $40 billion in Anthropic. The amount depends on whether Anthropic can meet certain performance targets. Anthropic recently received a $5 billion investment from Amazon, with an option for more investment based on performance. The investments value Anthropic at $350 billion. The funds will help the startup close the gap between demand and supply of compute for AI training and inference.

WHAT HAPPENS WHEN AI RUNS A STORE IN SAN FRANCISCO?

Andon Labs is running an experiment to see whether AI agents can run real-world endeavors. It opened a retail boutique on April 10 run by an agent named Luna. Luna has so far struggled with employee schedules and seems to be unable to stop ordering candles. The experiment's mission was to make a profit, but it has lost $13,000 since the shop's opening.

ANTHROPIC LAUNCHES MEMORY IN CLAUDE AGENTS FOR ENTERPRISE

Anthropic has released a feature for Claude Managed Agents called Memory. It allows agents to remember and use information from prior sessions and accumulate knowledge over time without requiring manual prompt updates. Memory is a filesystem-based layer, so data is stored as files that can be exported, managed through APIs, and scoped with permissions for various organizational needs. The feature is available now in public beta to all Managed Agents users.

GOOGLE PREPARES CREDITS SYSTEM FOR GEMINI

Google is working on a credit-based system for its Gemini app where users receive a monthly allowance to spend across models and features. Users will be able to top up when they run out of credits. The change will make budgeting for heavy workloads more predictable and give Google a cleaner lever for introducing premium features without forcing users to pay for more expensive plans. OpenAI, Anthropic, and Notion already use a similar consumption model.

YOUR AI MIGHT BE LYING TO YOUR BOSS

It's very hard to measure the contribution that AI models make to a codebase. Sometimes the best use cases for AI are inquisitive prompts that don't necessarily produce any code at all. Lines of code isn't a very good measure of code quality, and it can be difficult to separate the work engineers did vs what AI has done. The bias appears to be towards reporting a higher AI percentage, which is great for AI companies, but skewed metrics can be harmful.

THE WORLD CAN'T KEEP UP WITH AI LABS

Coding agents are the first AI product people are paying for at volume and regularly. However, compute demand has started to grow faster than anyone can build it out. The industry isn't ready for the agent boom. The most obvious move for AI labs now is to cut limits and raise prices.

MONITORING LLM BEHAVIOR: DRIFT, RETRIES, AND REFUSAL PATTERNS

Monitoring LLM behavior necessitates adopting the AI Evaluation Stack, separating tests into deterministic assertions (syntax and routing integrity) and model-based evaluations (semantic quality). Engineers use offline pipelines for pre-deployment regression testing with human-reviewed "Golden Datasets" while online pipelines monitor real-world performance for drift and failures. A continuous feedback loop from production telemetry ensures AI systems adapt, maintaining high performance as user behavior evolves.

see it in action

STASH

Stash is a tool that gives agents persistent memory. It enables agents to remember, recall, consolidate memories, and learn across sessions. Stash is open source, self-hosted, and works with any MCP-compatible agent.

VISION BANANA GENERALIST MODEL

Instruction-tuned image generation models can act as generalist vision systems, achieving state-of-the-art results across tasks by reframing perception as image generation.

EFFICIENT VIDEO INTELLIGENCE IN 2026

Efficient video intelligence advances include compact universal vision encoders like EUPE, which distill capabilities from specialized models such as DINO and SAM. Techniques like LongVU use adaptive token allocation and compression for long-form video understanding while edge and on-device deployment handle real-time processing. Persistent challenges include streaming understanding, sparse-event detection, real-time sub-watt inference for AR glasses, and robust multi-modal reasoning.

SCALING LONG-HORIZON CODING AGENTS

A framework from Meta for test-time scaling in coding agents summarized past rollouts into structured representations, enabling better selection and reuse to improve benchmark performance.

OPENAI POSTS FIVE-PRINCIPLE FRAMEWORK FOR AGI, ALTMAN CONCEDES BIGGER ROLE

OpenAI has published a five-principle framework for the development of artificial general intelligence. It is the company's most prominent statement of intent since its 2018 Charter. The lab claims it will resist letting the technology consolidate power in the hands of the few. The framework arrives at a time when US and European regulators are tightening oversight of frontier AI labs.

CURSOR'S $60 BILLION ESCAPE HATCH

What does it mean when a company doing $2.7B in annualized revenue has gross margins of negative 23%? In Cursor's case, it means AI coding tools have inverted the old SaaS playbook, where serving the next customer is supposed to be cheap. Power users consume more model capacity and compute, so the best customers can become the most expensive. That reframes the rumored SpaceX deal as more than a $60B headline. Access to Colossus would loosen Cursor's dependence on Anthropic and OpenAI fees, where that negative 23% lives.

META'S LOSS IS THINKING MACHINES' GAIN

Thinking Machines Lab has been hiring more researchers from Meta than from any other single employer. The AI startup is expanding on multiple fronts, and it just signed a multibillion-dollar cloud deal with Google that gives it access to Nvidia's latest GB300 chips. Meta's large pay packages are well known, but Thinking Machines' $12 billion valuation and 140-employee count mean there's still a lot of financial upside to joining the startup.

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AN AMATEUR JUST SOLVED A 60-YEAR-OLD MATH PROBLEM—BY ASKING AI

The raw output of ChatGPT's proof was quite poor and required experts to sift through and actually understand it, but it appears the AI discovered a new way to think about large numbers and their anatomy.

SOVEREIGN LABS ARE OVERKILL FOR ENTERPRISE AI

The national lab thesis is legitimate for nations, but for everyone else, it's a solution to a problem they don't have.

COHERE ALEPH ALPHA JOIN FORCES

Cohere and Aleph Alpha are partnering to create a sovereign, enterprise-grade AI alternative, combining Canadian AI scale with German research expertise.

META SIGNS AGREEMENT WITH AWS TO POWER AGENTIC AI ON AMAZON'S GRAVITON CHIPS

Meta has partnered with AWS to utilize Amazon's Graviton chips for its AI, enhancing scalability and efficiency.

ANTHROPIC TESTS NEW BUGCRAWL TOOL FOR CLAUDE CODE BUG DETECTION

The new Bug Crawl feature in Claude Code lets users scan repositories for bugs and get fix suggestions.

Explore Crusoe Managed Inference

GPT 5.5

OpenAI released GPT-5.5 with improved agentic reasoning, tool use, and efficiency, matching prior latency while increasing performance across coding and knowledge tasks.

DEEPSEEK UNVEILS FLAGSHIP AI MODEL A YEAR AFTER BREAKTHROUGH

DeepSeek has rolled out new preview versions of its new flagship AI model. The V4 Flash and V4 Pro series comes with architecture upgrades and optimization improvements. It has a 1-million-token context window. While the service capacity for the V4 Pro series is extremely limited due to a computing crunch, DeepSeek expects pricing for the model to drop once Huawei releases its Ascend 950-powered computing clusters.

TENCENT, ALIBABA TO BACK DEEPSEEK AT $20B+ VALUATION

DeepSeek is in talks for its first funding round at a $20 billion valuation, with Tencent and Alibaba interested. Tencent is seeking a 20% stake, but DeepSeek doesn't want to lose that much control. The valuation surged from $10 billion to $20 billion in days, illustrating significant investor interest.

ANTHROPIC JUST OVERTOOK OPENAI WITH $1 TRILLION VALUATION

Anthropic reached a $1 trillion valuation on Forge Global, surpassing OpenAI's $880 billion. The spike in Anthropic's value stems from scarce available shares and growing demand due to partnerships and increased use of its Claude Code tool. Current investor interest highlights Anthropic's position as a leading AI opportunity.

TRAINING FOR ACCURACY IN SEARCH LLMS

Perplexity detailed a staged post-training approach that teaches models tool use, evidence gathering, and structured evaluation to improve accuracy in search-based AI systems.

AGENTICS: AI ENABLEMENT REQUIRES MANAGED AGENT RUNTIMES

Enterprises need managed agent runtimes for effective AI integration, avoiding the complexities of manual configuration. Current solutions like Claude Code are unintuitive, leading to inefficient setups and potential security risks. Companies like Ramp and Stripe have developed custom solutions, but managed services are scarce, creating opportunities for new entrants in the market.

Read how Cursor cut costs 20x and improved agent reasoning

AN UPDATE ON RECENT CLAUDE CODE QUALITY REPORTS

OPENAI PRIVACY FILTER MODEL

OpenAI released a lightweight open-weight model for detecting and redacting PII in text, designed for fast, local, context-aware privacy filtering workflows.

EXPERT UPCYCLING

Amazon researchers released a method to expand Mixture-of-Experts models mid-training by duplicating and specializing experts, improving performance without increasing inference cost.

AI CODING FIRM COGNITION IN FUNDING TALKS AT $25 BILLION VALUE

Cognition AI is in early talks to raise a round of funding that would more than double its valuation to $25 billion. The talks are ongoing and the terms could change. Cognition uses AI to streamline the process of writing and debugging code, with a focus on selling to businesses. Its flagship product, Devin, is being used by companies like Anduril and Microsoft.

ORACLE'S DELUGE OF AI DEBT PUSHES WALL STREET TO THE LIMIT

Oracle's $300 billion megadeal with OpenAI is testing the limit of Wall Street's appetite for debt tied to the datacenter boom. Banks have struggled for months to spread the risk of the billions of dollars in loans they made to build data centers leased to Oracle in Texas and Wisconsin. Bank balance sheets are now clogged, constraining the financing prospects of future projects tied to Oracle and OpenAI. Silicon Valley needs access to debt to meet its goals for AI-related spending, but so far, Wall Street is largely giving a blank check for the AI ambitions of the most creditworthy tech companies.

AGENTS CAN'T CHOOSE BETWEEN STRUCTURE AND FLEXIBILITY

Deciding between Python and Markdown for agent specification involves balancing structure with flexibility. Code-maximalism enforces reliability but lacks adaptability, while Markdown-maximalism allows for creativity but risks errors. Successful agent architectures use a hybrid approach, leveraging Markdown for intent and code for structure to combine flexibility with reliable execution.

Here's why.

AI SUMMARIES IN GMAIL

Google added AI Overviews to Gmail for Workspace users, enabling natural language queries that return summarized answers across emails without opening threads.

MICROSOFT TO INVEST $1.8B IN AUSTRALIA TO EXPAND AI, CLOUD, AND DIGITAL INFRASTRUCTURE

Microsoft is investing $1.8 billion to significantly expand its cloud computing and artificial intelligence infrastructure across Australia.

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We're looking for an engineer/researcher at a major AI lab or startup to help write for 1M+ subscribers. Curators have been invited to Google I/O and OpenAI DevDay, scouted for Tier 1 VCs, and get early access to unreleased TLDR products. Learn more [23].

WHITE HOUSE ACCUSES CHINA OF INDUSTRIAL-SCALE AI MODEL DISTILLATION, COMMITS TO INTELLIGENCE SHARING WITH OPENAI, ANTHROPIC, GOOGLE

Model distillation is a technique that can be used to train cheaper models that approximate the original's capabilities at a fraction of the cost.

OLMOEARTH EMBEDDINGS EXPORT

AI2 introduced embedding exports in OlmoEarth Studio, allowing users to generate and share compact Earth observation representations for downstream tasks like search and segmentation.

inference workloads? Start here with this course

INTRODUCING WORKSPACE AGENTS IN CHATGPT

OpenAI introduced workspace agents in ChatGPT, allowing teams to create shared AI agents for complex tasks and workflows. These agents, powered by Codex, perform tasks like generating reports, writing code, and managing communication, while integrating with various tools like Slack. Workspace agents are currently available in research preview for select ChatGPT plans, aiming to streamline collaboration and improve productivity.

GOOGLE DEBUTS WORKSPACE INTELLIGENCE FOR GEMINI WORKSPACE

Google launched Workspace Intelligence, enhancing Google Workspace with a semantic layer to integrate emails, chats, files, and projects for Gemini-powered agents. This update includes major product enhancements like natural-language spreadsheet building in Sheets and AI-driven features in Docs, Slides, Gmail, and Drive. Workspace Intelligence aims to make Workspace a centralized control layer for business operations, emphasizing security, context integration, and cross-application functionality.