First, GPU Memory Math for LLMs (or why it is not always about Memory Size)
AI
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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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Using ChatGPT Codex for Mac Remote Workflows
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Keep your Mac awake so you can build and work from your phone, with Codex in the ChatGPT app:
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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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HeyGen introduces granular gesture and expression control for AI avatars
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Body language was the missing piece in avatar videos and HeyGen just handed it over.
— AI Highlight (@AIHighlight) 18 mai 2026
Type the gesture, type the expression, type the gaze.
The delivery finally matches https://t.co/qUsQCKZlVQBody language was the missing piece in avatar videos and HeyGen just handed it over. Type the gesture, type the expression, type the gaze. The delivery finally matches
