
Alphabet's $85B AI Bet Reverses Decade of Buybacks
Alphabet priced an $84.75B equity raise on June 2, reversing a decade of share buybacks to fund a $180-190B AI infrastructure buildout - backed by a $10B bet from Berkshire Hathaway.
They summarize our coverage. We write it.
Newsletters like this one rebroadcast our headlines - often without the full review, the source reading, or the analysis underneath. Our weekly briefing sends the work they paraphrase, straight from the desk, before they get to it.
Free, weekly, no spam. One email every Tuesday. Unsubscribe anytime.

Alphabet priced an $84.75B equity raise on June 2, reversing a decade of share buybacks to fund a $180-190B AI infrastructure buildout - backed by a $10B bet from Berkshire Hathaway.

Three new papers show that AI agents fail not by doing the wrong thing, but by doing things when they should have stopped.

Microsoft's open-source ASSERT framework turns natural language behavior specs into executable, auditable test suites for AI agents and LLM applications.

The UK's CMA issued a world-first binding order requiring Google to let publishers opt out of AI Overviews, AI Mode, and AI model training, with nine months to comply.

Intel's Crescent Island inference GPU trades HBM bandwidth for 480GB of LPDDR5X, targeting customers locked out of NVIDIA's supply chain.

Anthropic expands Project Glasswing to 150 organizations across 15 countries, with Claude Mythos Preview surfacing 10,000 high-severity vulnerabilities since April.

Trump signed a narrowed AI executive order giving the government 30 days of voluntary pre-release access to frontier models, after industry lobbying gutted the original 90-day mandatory proposal.

Three new papers expose how reasoning traces can be extracted from supposedly hidden model internals, where chain-of-thought hits an architectural ceiling, and how RL teaches models to know when to quit.

The Agent Control Standard defines open middleware hooks that let teams block, allow, or modify AI agent actions before they reach production systems.

Learn how to use ChatGPT, Perplexity, Gemini, and Amazon's AI assistant to research products, compare prices, and spot fake reviews before you buy.

A practical beginner's guide to using AI tools to write a stronger resume, craft tailored cover letters, and prepare confidently for job interviews.

A step-by-step guide to uploading PDFs into ChatGPT, Claude, and Gemini, writing prompts that get useful summaries, and verifying results - no technical background needed.

Claude Opus 4.8 sets new highs on SWE-bench Pro and long-context tasks while a 4x improvement in code flaw detection may matter more than any benchmark number.

Google's Antigravity 2.0 rewrites the platform from a browser IDE into a five-surface agent suite. The architecture is ambitious, the launch was a mess.

Kore.ai's Artemis platform brings a compiled blueprint language and governance-first architecture to enterprise multiagent AI - ambitious, but Azure-only for now.

Current rankings of the best AI image generation models, including GPT Image 2, Nano Banana 2, Recraft V4.1, HiDream-O1-Image, FLUX 2, Midjourney v8.1, and Ideogram 3.0, scored on human preference, text rendering, and photorealism.

Rankings of the best AI models and agent frameworks on the GAIA benchmark, which tests real-world multi-step tasks requiring web browsing, tool use, and multi-hop reasoning.

Rankings of AI models by cost efficiency in May 2026, comparing performance per dollar across frontier and budget models. Updated with DeepSeek V4, GPT-5.5, and Kimi K2.6.

Meta's Llama 3.3 70B Instruct matches Llama 3.1 405B on instruction following and math while running at 4-5x lower cost, with the lowest hallucination rate of any open-weight model on the Vectara summarization leaderboard.

Cohere Command A+ is a 218B sparse MoE model with Apache 2.0 license, native citations, and a 128K context window that runs on just two H100 GPUs.

NVIDIA Cosmos 3 is an open physical AI omnimodel with Mixture-of-Transformers architecture that natively handles text, images, video, sound, and robot actions in a single 16B or 64B model.

IBM Research tests 25 agent configurations across 6 real-world benchmarks and finds backbone model choice matters 58x more than agent framework design.

South Korean startup LetinAR raises $18.5M to scale its PinTILT optical modules, which already power AI glasses and AR helmets as shipments hit 8.7 million units globally in 2025.

Eight ChatGPT alternatives compared on pricing, context limits, and real-world performance - from Claude and Gemini to DeepSeek and self-hosted setups.

Google's next video model surfaced in the Gemini UI a week before I/O 2026, showing editing-first features including in-chat watermark removal and object swapping.

OpenAI launched ChatGPT Personal Finance on May 15, giving Pro users read access to 12,000+ banks via Plaid - one day after a class action alleged OpenAI shared user conversations with Meta and Google.

ArXiv is issuing one-year submission bans to authors whose papers contain verifiable unvetted AI output, as fabricated academic citations hit a tenfold increase since 2023.

OpenAI's Codex coding agent arrives on iPhone and Android as a remote control for desktop sessions, with QR code pairing and live terminal output for its 4 million weekly users.

Raindrop's MIT-licensed Workshop streams every token and tool call from your AI agent to a local browser dashboard, then lets Claude Code write and fix evaluations automatically.

Mira Murati's startup unveils TML-Interaction-Small, a 276B MoE model that hits 0.40-second response latency by listening and generating speech at the same time.

Cerebras raised $5.55B and surged 68% on Nasdaq debut, the largest US tech IPO since Snowflake in 2020, but a 200x revenue multiple and a single-customer backlog tell a more complicated story.

IBM's Granite Embedding Multilingual R2 ships with a 64x context window jump, ModernBERT architecture, and Apache 2.0 licensing that makes it enterprise-safe out of the box.

A physics formula predicts AI behavioral shifts before they happen, a benchmark shows LLMs fail at 90% of graduate math formalization, and a training-free method cuts synthetic data costs by up to 78%.