8. Evaluating Honesty and Lie Detection in AI Models Anthropic researchers evaluate honesty and lie detection techniques across five testbed settings where models generate statements they believe to be false.
GENERATIVE AI
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HunyuanOCR: Lightweight 1B Parameter Vision-Language Model
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2. Lightweight End-to-End OCR HunyuanOCR is a commercial-grade, open-source, lightweight vision-language model with only 1B parameters designed specifically for OCR tasks.
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INTELLECT-3: 106B MoE Model Achieves State-of-the-Art Performance
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1. INTELLECT-3
— DAIR.AI (@dair_ai) 30 novembre 2025
A 106B-parameter Mixture-of-Experts model (12B active) trained with large-scale reinforcement learning, achieving state-of-the-art performance for its size across math, code, science, and reasoning benchmarks.https://t.co/8tphkxnVzy1. INTELLECT-3 A 106B-parameter Mixture-of-Experts model (12B active) trained with large-scale reinforcement learning, achieving state-of-the-art performance for its size across math, code, science, and reasoning benchmarks.
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Agentic AI Architecture Overview by Python Developer
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#AgenticAI Architecture by @Python_Dv #AI #GenAI #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning
→ View original post on X — @marcusborba, 2025-11-30 14:11 UTC
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AI Tools Reach Massive Scale: ChatGPT Leads with 4.7B Monthly Visits
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AI tool usage at scale is here. ChatGPT: 4.7B monthly visits (Jan 2025)
Canva: 887M
Google Translate: 595M
DeepSeek: 268M (massive surge) http://
Character.AI: 226M
Perplexity: 133M
Gemini: 118M
Claude: 105M AI isn’t a trend anymore — it’s infrastructure. What’s your #1 -
Memory in AI Agents: The Evolution Beyond RAG
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RAG was never the end goal.
— Akshay 🚀 (@akshay_pachaar) 30 novembre 2025
Memory in AI agents is where everything is heading. Let me break down this evolution in the simplest way possible.
RAG (2020-2023):
– Retrieve info once, generate response
– No decision-making, just fetch and answer
– Problem: Often retrieves… pic.twitter.com/EN8cfP6qflRAG was never the end goal. Memory in AI agents is where everything is heading. Let me break down this evolution in the simplest way possible. RAG (2020-2023): – Retrieve info once, generate response
– No decision-making, just fetch and answer
– Problem: Often retrieves -
Hands-on review of Gemini 3 coding and UI generation capabilities
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Bon, j’ai testé Gemini 3 tout le week-end sur du code. Bilan :
•Incroyable pour l’UI : en one shot, il fait des trucs de fou (surtout des choses dont on n’a pas l’habitude avec l’IA). MAIS c’est tout… Sur la qualité du code, bof. Sur des sujets complexes, bof. Dès que tu -
AI Slop Era Shifts Marketing Toward Authentic Human Connection
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I think it’s simpler than that. In a world of ai slop you need to sell in human connection. I expect traditional perfect photo shots to do down and what we right now call candid influencer and celebrity marketing to go up a lot. If everything is perfect nothing is. If faces