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Producer|Developer

Abuja
Joined April 2025
Photo by daudu (@Higgins_dev)Photo by daudu (@Higgins_dev)Photo by daudu (@Higgins_dev)Photo by daudu (@Higgins_dev)Photo by daudu (@Higgins_dev)
LAYLA w @Higgins_dev out at midnight ET🩷 #LAYLAISCOMiN
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NEW MUSIC 🚨 👤 ICEKHIID X HIGGINS 💿 LAYLA OUT OCT 30TH
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My iPhone Duo video went viral, so I'm giving away 100 iPhones on X 😛
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daudu retweeted
Introducing dots, powered by GPT-6 Astra. Remarkably capable, always-on agents built to handle everything.
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To celebrate the launch of GPT-5.6 Sol, we will reset the rate limits again (twice) across ChatGPT Work and Codex over the next 24 hours. We want you to have the time to truly try ambitious tasks and get the hang of it. Happy exploring!
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daudu retweeted
Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.
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daudu retweeted
It is humbling to consider that if we harness just 1 millionth of the Sun’s power for AI, that will be much more than a million times the intelligence of all of humanity
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daudu retweeted
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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So I posted about building a semantic compression layer for AI agents. Since then I've had a lot of questions about what that actually means. So here's the full story from the original idea to what we're building now. 🧵
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Instead of building retrieval... We started building an intelligence layer. A representation of the codebase that understands structure, relationships, and meaning not just text.
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In the next thread I’ll explain the different parts of the the system including the engine that powers it and how it breaks down in practice
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Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recu…
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Most AI coding tools try to solve context by making the bucket bigger. Resulting in larger context windows. But the real challenge isn't reading everything. It's finding exactly what matters and ignoring the rest. That's what SCC solves. Follow along in the journey #Ai #tech
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They said build in public, so I'm building SCC: a semantic compression layer for AI infrastructure and agents. Instead of reprocessing entire datasets, SCC organizes persisted knowledge into linked semantic units and retrieves only the context needed for a task. #AI #Tech #RAG
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This 2-hour Stanford lecture breaks down how models like ChatGPT and Claude are actually built, clearer than what many people in top AI roles ever get exposed to. Save this and set aside two hours today. It might end up being the most valuable thing you learn all week.
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