Friday, February 13, 2026

Anthropic's growth πŸ“ˆ, Waymo's new taxi πŸš•, OpenAI's ultra-fast Codex πŸ€–

Anthropic has closed a $30 billion funding round. This is the second-largest private tech fundraising round on record after OpenAI ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 

TLDR

Together With WorkOS

TLDR 2026-02-13

The Fastest Growing AI Companies Choose WorkOS (Sponsor)

AI companies are scaling faster than ever and hitting enterprise requirements far earlier in their lifecycle.

SSO, SCIM, RBAC, audit logs, compliance. These are non-negotiable for enterprise customers, and expensive and difficult to build and maintain in-house.

That's why OpenAI, Anthropic, Cursor, Vercel, and more use WorkOS to power authentication, identity, and security. It's the infrastructure layer that makes applications enterprise ready without slowing teams down.

Build faster with WorkOS →
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Big Tech & Startups

Anthropic closes $30 billion funding round as cash keeps flowing into top AI startups (5 minute read)

Anthropic has closed a $30 billion funding round at a $380 billion post-money valuation. This is the second-largest private tech fundraising round on record after OpenAI, which closed a round of more than $40 billion last year. Anthropic's funding round was led by Coatue and Singapore sovereign wealth fund GIC. The fresh capital will support the company's infrastructure expansion, research, and continued investment in enterprise-grade products.
Waymo begins deploying next-gen Ojai robotaxis to extend its US lead (6 minute read)

Waymo has begun using its sixth-generation driverless system to provide robotaxi rides to employees. The system uses more cost-effective parts and should be able to navigate through harsher weather conditions than previous generations. It will serve as the primary engine for Waymo's next era of expansion. The company is currently planning to extend its lead in the US while testing and planning for commercial operations abroad.
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Science & Futuristic Technology

When Amazon badly needed a ride, Europe's Ariane 6 rocket delivered (6 minute read)

Europe's Ariane 6 rocket lifted off from the Guiana Space Center in South America at 11:45 AM EST on Thursday. The rocket's four boosters generated more than 3.4 million pounds of thrust as it hauled 32 spacecraft to low-Earth orbit for Amazon's satellite broadband constellation. The successful test demonstrates the European Space Agency's ability to deliver the most demanding large-scale constellation missions. The next Ariane 6 launch, to be announced in the coming weeks, will carry another set of Amazon Leo satellites to orbit.
Google Says Deep Think AI Can Partner on Advanced Math, Science (2 minute read)

Alphabet has updated its Gemini Deep Think AI model for better performance in math and science research. The model is now able to help scientists move from theoretical reasoning to practical applications. It uses Google Search to avoid inaccuracies and wrongful citations when doing research. Google has also developed a math research agent called Aletheia that can conduct autonomous research or collaborate with humans. Aletheia is available in the Gemini app for Google AI Ultra subscribers and also for select researchers.
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Programming, Design & Data Science

TLDR is hiring a Senior Software Engineer, Applied AI ($200k-$300k, Fully Remote)

As the first engineer on TLDR's new Applied AI team, you'll build AI agents and composable Claude Skills to let non-technical teammates create their own AI workflows. Learn more.
Introducing GPT‑5.3‑Codex‑Spark (8 minute read)

GPT‑5.3‑Codex‑Spark is a smaller version of GPT‑5.3‑Codex designed for real-time coding. It is now available as a research preview to ChatGPT Pro users. The model has a 128k context window. It is text only, and during the research preview, the model will have its own rate limits and usage will not count towards standard rate limits. There may be limited access or temporary queuing when demand is high.
In defense of not reading the code (13 minute read)

Not reading the code is a bet on the trajectory. The tools may not be perfect, but they're good enough for many use cases, and they're improving incredibly quickly. The bet is that models will continue to improve. People shouldn't be reckless, but code will soon become an implementation detail, and directly interacting with it will not be how engineers make sure it is correct.
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Miscellaneous

Context is King (14 minute read)

Both code and databases are commoditizing. The layer between them is where the new value forms. This is the context layer, the thing that makes the difference between an agent that takes action and an agent that takes the right action. The battle for this layer is the most important strategic competition in enterprise software.
An AI Agent Published a Hit Piece on Me (7 minute read)

An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about an engineer after they rejected its code. The agent's behavior was likely entirely autonomous, with no human telling the AI what to do. While the threat was ineffective, the reputational attack could be effective today against the right person. As AI improves, this could be a serious threat to the social order.

Quick Links

Waiting is the new interruption (9 minute read)

The way AI is currently designed encourages humans to lose focus and flow.
Open-sourcing AgentLogs (4 minute read)

AgentLogs is a platform for collaboration in the age of AI coding agents.
CodeSpeak (Website)

CodeSpeak is a programming language powered by large language models that generates code based on concise specs.
IBM to Triple Entry-Level US Hiring With Roles Recast for AI Era (4 minute read)

The expansion will be across the board and affect a wide range of departments.
Do Not Surrender to the Tech Tree (33 minute read)

Technology is one of the strongest determinants of human welfare, so steering technological progress is one of the most important things we can do.
The Surprising Power and Complexity of Aligned Recommendations (14 minute read)

Aligned recommendations typically fail because of a lack of aligned incentives.

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Thanks for reading,
Dan Ni & Stephen Flanders


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