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🚀 We’ve onboarded fapi to xAPI! fapi is the provider of the Most Stable and Cost-Effective Third-Party Twitter API on RapidAPI. Now available on xAPI: ✅ $0.001 per call ✅ Pay-as-You-Go ✅ Simple integration for AI agents & developers Start building with xAPI today. Use the invitation code xapito to get $1 free credit!

🧵Our unique full-stack approach to AI lets us deliver powerful, cost-efficient products to developers and everyday users. But what exactly does it mean when a technology system is "full-stack,” and why is it so important to our approach? We talked to @rseroter, senior director and chief evangelist at @googlecloud, to break it all down 👇 Where does the phrase “full-stack” come from, and what does it mean when we’re talking about tech? @rseroter: The term "full-stack" originally came out in software development a decade or so ago — usually in regard to applications. Historically, building an app required multiple specialized teams: a front-end developer to build beautiful user interfaces, a back-end developer to handle server-side logic and a dedicated database team. The concept of a "full-stack engineer" emerged to describe a developer who could work across all of these functions independently. Instead of constantly handing off components from one person to another, a full-stack engineer could take an idea from a rough concept all the way to a fully running piece of software.

On “The Intelligence” @OreOgunb explains how the cost of making jollof rice, a staple dish in Nigeria and Ghana, is a window into the countries’ economies. Listen now

Data centers are being blamed for rising US power bills, but outdated policy may be the real culprit. Doug Arent of the Center on Global Energy Policy explains how poor incentives are shaping electricity costs

Andy Burnham, Britain’s prime minister-in-waiting, has set out sweeping plans for greater state control over essential utilities, the biggest council housebuilding programme for 50 years and fresh help to tackle the cost of living crisis.

My entire AI stack is now Chinese 🇨🇳 87% cheaper. same revenue swaps by task: 1. reasoning / backend brain Opus 4.8 → Kimi K2.7 benchmark gap: ~8% · price: ~11x cheaper 2. code generation GPT-5.5 → Qwen 3.7 Max benchmark gap: ~18% · price: ~7x cheaper 3. agent loops + tool calling Sonnet 4.7 → GLM 5.2 benchmark gap: ~3% · price: ~5x cheaper on input 4. cheap volume / bulk processing GPT-5.5 mini → MiMo V2.5 benchmark gap: ~6% · price: ~12x cheaper 5. image generation GPT-Image-2 → Wan 2.5 benchmark gap: ~5% · price: ~8x cheaper 6. video generation Sora 2 → Kling 3.0 benchmark gap: roughly equal · price: ~6x cheaper [ result after 30 days: ] operating costs dropped 87%, output quality dropped 4% on average, revenue unchanged the most important that these models will be not banned in a month and i can run them locally nobody will steal my data and i can learn them as i need full article drops tomorrow with: > exact routing logic per task type > the 2 cases where I still pay for American > the migration playbook anyone can copy in a weekend VERY IMPORTANT to get migrated now, while it's not too late