SpaceX reportedly seeks $40B in Apollo-led debt to pay for a giant Nvidia chip order · 8 deals
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All news →Anthropic ships Claude Haiku 5.5 at $0.10 per million input tokens, a 90% cut from Haiku 4.5 on short prompts
The model went live on October 7, 2026, and is available on the Claude Platform, Amazon Web Services, Google Cloud, and Microsoft Azure. Anthropic puts the average saving versus Haiku 4.5 at about 75%, because about 90% of Haiku 4.5 requests fell into the lower tier.
- OpenAI opens its Decisions API to all developers, charging only for input tokens on GPT-6 Luna
- Atlassian signs new OpenAI deal to run GPT-6 models behind Rovo agents in Jira and Confluence
- Musk says SpaceX's Grok Bot will hand tasks to Claude Opus 5.5, Midjourney and Suno when they do better
- OpenAI's first teen usage report says the average teen spends under 15 minutes a day on ChatGPT
- Common Sense Media rates ChatGPT for Teens an 'unacceptable risk' after more than 4,000 test prompts
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Mistral Large 4 🧠, OpenAI Decisions API ❓, Nano Banana 2.1 🍌. TLDR AI 10/07
Mistral Large 4 🧠, OpenAI Decisions API ❓, Nano Banana 2.1 🍌
Claude sets up shop in Google Docs, Sheets, & Slides
ALSO: How to create your own AI influencer with Higgsfield AI
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OpenAI's math avalanche continues
OpenAI's math breakthroughs continue, with 700+ papers claiming to solve open problems. Plus: learn how to compare software websites with GPT-6 Astra in…
😺 OpenAI’s AI produced 722 math manuscripts
PLUS: Mistral Large 4 now ranks with GPT-6 Luna and DeepSeek V4.1 Flash.
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Investing in General Medicine
a16z leads General Medicine’s Series B
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A breakout moment for AI medicine
Your next prescription might come from a selfie. Utah just gave Nolla Health’s AI a first-in-the-U.S. green light to diagnose acne and prescribe treatment,…
Point-Counterpoint: Consumers Will Never Pay for AI
Nearly 98% of US households don’t pay for an AI subscription. Is that a massive untapped market or a sign that Silicon Valley is building for itself? NLW explores both sides of the
Ep 94: Applied Compute CEO on the Limits of RL, the New AI Hyperscaler & Why Post-Training Wins Inference
Yash Patil, a former OpenAI researcher who worked on Codex and now runs Applied Compute, argues that post-training is the most overlooked part of the AI stack and the key to owning
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