First, GPU Memory Math for LLMs (or why it is not always about Memory Size)
LLMS
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Managing social media with custom AI agents and multiple Claude instances
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Je suis en mode bypass avec Claude, et j’ai pas qu’un Claude j’ai 8 Claude, les autres s’appellent Claudius Claudine Claudette Claudio Klaudia Claudel Claudie pour les différencier et ça laisse pas beaucoup de temps pour Twitter j’ai un agent pour ça d’ailleurs, qui gère ma ligne
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Achieving SUPERHOT Design Style with Codex 5.5 and Prompt Tweaks
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With a few prompt tweaks/strategies, and a switch to Codex 5.5 instead of Opus 4.7, you can get MUCH closer to the SUPERHOT design style.
— Matt Shumer (@mattshumer_) 18 mai 2026
This was a one-shot output! https://t.co/jCaDRX25Ap pic.twitter.com/fIEP3eWi6iWith a few prompt tweaks/strategies, and a switch to Codex 5.5 instead of Opus 4.7, you can get MUCH closer to the SUPERHOT design style. This was a one-shot output!
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AI Agents Must Learn to Read the Room for Mass Adoption
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#AIAgents Won’t Reach Mass Adoption Until They Learn To Read The Room
by Shailesh Nalawadi @Forbes Learn more: https://
bit.ly/4uPzZ8v #LLM #GenerativeAI #ArtificialIntelligence #ML -
Insforge: Backend Platform for AI-Native Developers on Y Combinator
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More here:
→ https://
ycombinator.com/launches/QP6-i
nsforge-the-backend-platform-for-ai-native-developers
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Optimizing Workflows with AI Coding Agents and Tools
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Working with Codex gives you access to tons of things like your entire local context (files, notes, repo) skills, MCPs and of course an overall really strong agent. Once Codex makes stuff, you can still use the MagicPath native agent to improve it to your liking. As I shown in
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Strategic value of open-source AI models and compute costs
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But that’s the thing though, my whole hypothesis was that opensource models are gonna be amazing Waiting until they already are is just reactionary and makes you pay for compute at a steep price
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HiLight highlights key evidence in long contexts for frozen LLMs
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Can LLMs find a needle in a haystack of text? Stony Brook University and Meta AI present HiLight: a lightweight system that highlights key evidence in long contexts for frozen LLMs. Instead of rewriting or compressing input, it trains a small Actor to insert highlight tags
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Codex Model’s Role in Autonomous Design Execution
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No, Codex actually communicates with MagicPat, like it’s Codex that is making the designs. Having it running in the app is a nicer addition to the experience, but the real magic is that it’s Codex that is in control. In their video, it is just a browser lmao.
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Local Open-Source AI as a Strategy to Mitigate GPU Shortages
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I believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)!
— clem 🤗 (@ClementDelangue) 18 mai 2026
Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality… pic.twitter.com/nSYfGnlPqWI believe on-prem and local AI – based on @huggingface open-source models – will be an important answer to the GPU shortages this year (because they are cheaper, faster, safer than cloud APIs)! Great collaboration between @huggingface & @MichaelDell @Dell to make this a reality