TLDR AI 2026-05-14

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Cerebras raised $5.5 billion in its US IPO at a market valuation of about $40 billion. This was the largest IPO this year so far. The IPO drew orders for more than 20 times the number of shares available. The offering was led by Morgan Stanley, Citigroup, Barclays, and UBS.

Anthropic launched Claude for Small Business, a package of connectors and workflows that embeds Claude into tools like QuickBooks, PayPal, HubSpot, Google Workspace, and Microsoft 365.

Recursive Superintelligence has raised more than $650 million at a valuation of more than $4 billion to build AI that can improve itself with little or no help from human developers. Its seven co-founders include notable researchers from many of the industry's leading AI companies. Many of these researchers specialize in AI systems that can run for long periods in pursuit of goals. While the researchers are bullish on the idea of AIs recursively improving themselves, the current technology is a long way from the point where humans can be removed from the loop.

Anthropic has passed OpenAI in business adoption. More businesses used Anthropic than OpenAI in April. Anthropic has quadrupled business adoption over the last year, while OpenAI grew business adoption by only 0.3%. The pace of development in the AI industry is overriding the typical forces of vendor stickiness.

OpenAI detailed the engineering behind Codex's Windows sandbox, which constrained local commands, file access, and networking permissions while still allowing coding agents to operate effectively on developer machines.

Vercel analyzed seven months of AI Gateway production traffic spanning hundreds of models and over 200,000 teams. The report showed rapid growth in agentic workloads, increasing adoption of open-source models, and heavy multi-model routing in large-scale deployments.

Superstar researchers at frontier labs can earn over a hundred times more than the average AI postdoc. Researcher quantity doesn't easily make up for quality in the field of AI. Even a 2x researcher can earn far more than the median because their contributions easily scale to billions of users. If they can add something that multiple 1x researchers can't, then it's worth paying a lot to capture it.

Agents are a mess to manage. With Agent Foundry, you get a single place to govern agents like OpenClaw and Claude Code. Real enforcement at the agent level, deployed in your own environment or SentinelOne's for zero lock-in. Powered by Prompt Security from SentinelOne. Join the waitlist

@cline/sdk is an open-source framework for building agentic applications. It has a plugin architecture that makes it easy to customize, and the framework has all the features expected from agents, like checkpoints, web fetch, MCPs, cron jobs, subagents, and more. The SDK can be used to run agents from CI/CD pipelines, create automations for end-to-end workflows, or embed agents directly inside products.

Perplexity outlined the security systems powering its autonomous Computer agent, including Firecracker microVM isolation, scoped connector permissions, and prompt injection defenses.

PyTorch 2.12 shipped major infrastructure updates including faster CUDA eigendecomposition, a unified graph capture API, MX quantization export support, and fused Adagrad optimizers.

Microsoft's MDASH AI system uses more than 100 specialized AI agents to work together across multiple AI models to find real-world software vulnerabilities. A set of agents scans code for potential vulnerabilities, and then a separate group of agents debates whether each finding is real and exploitable. A final stage constructs proof-of-concept attacks to confirm the bugs exist. MDASH surpassed Anthropic's Mythos model on the CyberGym benchmark, a test that measures how well AI systems can reproduce real-world vulnerabilities.

Krishna Rao, Anthropic's CFO, joined the company two years ago when run-rate revenue was about $250 million. It is now $30 billion. Rao helped raise around $75 billion and is responsible for the procurement and allocation of compute. This post links to an interview with Rao where he discusses compute, raising funds, pricing dynamics, how Anthropic's finance team uses Claude, Mythos, biotech and healthcare, and much more.

Your usage changes fast - your spend doesn't have to. Archera offers insured cloud commitments on AWS / Azure / GCP; you get reservation savings without the downside. Start with $0 platform fees

DeepSeek V4 Pro scored 77/100 on the FlowGraph spec for $2.25 and lands between Opus 4.7 and Kimi K2.6 in terms of performance.

Paid Claude plans will be able to claim a dedicated monthly credit for programmatic usage starting on June 15.

This post contains a video of Alex Wang's first interview since he started working with Meta.

The model, which will be announced at Google's annual I/O conference on Tuesday, will roughly be on par with GPT-5.5.

AutoScientist helps models learn specific capabilities quickly by using an automated approach to conventional fine-tuning.