Amazon to spend up to $50 billion on AI infrastructure for the US government (2 minute read) Amazon will invest up to $50 billion to expand its capacity to provide AI and high-performance capabilities for its cloud unit's US government customers. The project will begin in 2026 and add nearly 1.3 gigawatts of capacity. It will give government agents access to AWS' AI tools, Anthropic's Claude family of models, Nvidia chips, and Amazon's custom Trainium AI chips. The project will enable agencies to develop custom AI solutions, optimize data sets, and enhance workforce productivity. | | Ilya Sutskever – We're moving from the age of scaling to the age of research (83 minute read) This post contains a transcript of an interview with Ilya Sutskever, former chief scientist at OpenAI and co-founder of Safe Superintelligence. In the interview, he discusses model jaggedness, emotions and value functions, why humans generalize better than models, alignment, and more. Sutskever says that current models generalize dramatically worse than people and that it is a very fundamental thing. Scaling has gotten big - it's time to get back to research to continue creating improvements. | LLM | Unit Economics (7 minute read) OpenAI and Anthropic likely won't ever stop training entirely. However, they don't need to grow training spend by multiples forever. The moment annual training spend stops growing 5x a year, profit margins will show up almost immediately. These companies are currently burn machines, but they won't always be. | The Economics of Replacing Call Center Workers With AIs (8 minute read) AI voice agent rates are currently competitive with human labor in some countries, but it is still cheaper to hire humans in most developing countries. Inference costs are massively decreasing every year. Voice agents will likely be competitive with the world's cheapest human labor in around 2030. | Nano Banana Pro: raw intelligence with tool use (5 minute read) Nano Banana Pro has pushed the frontier of infographic generation. It pulls data and synthesizes it to get the best results. The model can be prompt engineered for extremely nuanced AI image generation. Examples of outputs generated by the model are available in the article. | | ChatGPT 5.1 Codex Max (7 minute read) OpenAI's GPT-5.1-Codex-Max enhances capabilities over GPT-5.1-Codex, showing improved performance in SWE-bench-verified, SWE-Lancer-IC SWE, and Terminal-Bench 2.0. It advances task persistence, cybersecurity preparations, and introduces Windows training, while network access remains disabled by default for security. Despite substantial internal evaluation progress, external reviews show mixed cybersecurity capabilities, yet highlight advances in AI self-improvement tasks and overall code efficiency. | FLUX.2 Release (3 minute read) The newly released FLUX.2 is designed for real-world creative workflows. It produces consistent, high-quality images from structured prompts and multiple references. The model handles brand constraints, lighting, and layout with editing support up to 4 megapixels. | Google Antigravity Exfiltrates Data (5 minute read) Google's Antigravity coding tool can be manipulated through hidden instructions in poisoned web pages (aka prompt injection). A fake Oracle integration guide was used to trick Gemini into bypassing its own security settings, collect user credentials from protected files, and send the stolen data to an attacker-controlled website included in Antigravity's default allowed domains list. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of AI professionals and decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Andrew Tan, Ali Aminian, & Jacob Turner | | | |
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