Anthropic is considering an IPO while also exploring private funding. It has reportedly engaged with a law firm and major banks

TLDR AI 2025-12-03

Headlines & Launches

Anthropic reportedly preparing for one of the largest IPOs ever in race with OpenAI (3 minute read)

Anthropic is considering an IPO while also exploring private funding. It has reportedly engaged with a law firm and major banks. The IPO could be one of the largest IPOs ever. No decision has been made yet on the timing of the IPO.

Mistral 3 Release (4 minute read)

Mistral announced the release of Mistral 3, which features three new dense models (14B, 8B, and 3B) and Mistral Large 3, a sparse MoE model with 41B active and 675B total parameters. All models are open-sourced under Apache 2.0.

OpenAI CEO declares “code red” as Gemini gains 200 million users in 3 months (3 minute read)

OpenAI will delay advertising plans and other products to focus on improving ChatGPT. Google’s release of Gemini 3 was very well received, with the service rapidly gaining popularity. Google is quickly catching up to ChatGPT in user numbers. ChatGPT has more than 800 million weekly users - Gemini had 650 million in October.

Deep Dives & Analysis

How AI Is Transforming Work at Anthropic (15 minute read)

Anthropic surveyed 132 of its own engineers and found 27% of Claude-assisted work wouldn’t have happened otherwise, but not without costs. Mentorship is declining as Claude is becoming the first stop for questions. Engineers worry that the skills needed to supervise AI are the same ones atrophying from overuse.

Thoughts on AI progress (Dec 2025) (14 minute read)

The driver for further improvement will be continual learning. Solving continual learning will require incremental improvements, just like solving in-context learning. Labs will likely release something next year that they will call continual learning, but it will just be progress towards continual learning. Human-level continual learning may take another five to ten years of further progress.

Engineering & Research

Introducing Amazon Nova Forge: Build your own frontier models using Nova (4 minute read)

Amazon Nova Forge is a service for building frontier models using Nova. It is the easiest and most cost-effective way to build your own frontier model. Customers can start their development from early model checkpoints, blend their datasets with Amazon Nova-curated training data, and host their custom models securely on AWS. The service is designed for organizations with access to proprietary or industry-specific data who want to build AI that truly understands their domain.

Agent Safety Benchmark by Perplexity (4 minute read)

BrowseSafe is a real-time content detection model and benchmark suite designed to protect AI agents from prompt injection in web browsers. The open-source BrowseSafe and BrowseSafe-Bench enable developers to scan HTML for hidden malicious instructions without slowing down performance, offering layered defenses for safer agentic browsing.

Raptor (GitHub Repo)

RAPTOR (Recursive Autonomous Penetration Testing and Observation Robot) is an autonomous offensive/defensive security research framework based on Claude Code. It combines traditional security tools with agentic automation and analysis to deeply understand code, prove exploitability, and propose patches. The tool empowers security research with agentic workflows and automation. RAPTOR was vibe-coded and is still in an early release stage.

A Practical Approach to Verifying Code at Scale (10 minute read)

AI coding systems can introduce severe bugs and vulnerabilities, so it is important to check their work. As models become stronger generators, their ability to verify, critique, and support human judgment must scale with them. OpenAI’s agentic code reviewer is optimized for low safety tax and high precision to earn user trust. The company’s testing shows that the code reviewer can deliver reliable, high-signal feedback without slowing teams down.

Miscellaneous

Amp, Inc. (1 minute read)

Amp is spinning out of Sourcegraph to become an independent research lab. Its goal is to let software builders harness the full power of AI. The company believes that the way we develop software will be challenged fundamentally and drastically. Spinning out into its own company will give it more freedom to focus on the frontier.

This AI Startup Wants to Remake the $800 Billion Chip Industry (4 minute read)

Ricursive, a startup founded by ex-Google researchers, aims to build software that can automate the design of cutting-edge chips. This could allow every company to build their own chips from scratch. The company expects to release its first product next year. It recently raised $35 million and is currently valued at $750 million.