The model release cycles from Anthropic & OpenAI are genuinely insane, previously we had 6-12 months between updates, now models are released every 1.5 months. This is an under-appreciated reason why Anthropic & OpenAI are in the lead. Google's releases are not as fast,
INNOVATION
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Token allocation, not model, drives multi-agent AI performance, study finds.
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80% of multi-agent performance variance is just token allocation, not the model. That's from a UC Berkeley paper that decomposes any AI agent into 6 components: model, memory, context, skills, orchestration, verification. The model is one. The other 5 are where the gains
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India’s AI Future: Regional Collaboration and Strategy
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Strengthening inter-state collaboration to shape India’s AI future.
— IndiaAI (@OfficialINDIAai) 29 mai 2026
At the AI-CoE Regional Workshop under the IndiaAI Mission, Ravi Eswarapu, Chief Executive Officer (CEO), Ratan Tata Innovation Hub (@RTIH_AP), Andhra Pradesh, highlighted the importance of shared learning,… pic.twitter.com/tOzZ7g2wz1Strengthening inter-state collaboration to shape India’s AI future. At the AI-CoE Regional Workshop under the IndiaAI Mission, Ravi Eswarapu, Chief Executive Officer (CEO), Ratan Tata Innovation Hub (
@RTIH_AP
), Andhra Pradesh, highlighted the importance of shared learning, -
8B MoE Model Trained for Agentic Local Workflows
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8B MoE (1B Activated) trained on 38 trillion tokens for local and agentic workflows
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AI-Driven Agriculture System Automates Tomato Farming
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#AI-Driven Agriculture System Plants, Monitors, and Harvests Tomatoes on Its Own
— Ronald van Loon (@Ronald_vanLoon) 29 mai 2026
by @sutoroveli_news#AgriTech #Innovation #Technology #TechForGood pic.twitter.com/WW1U6HO5Gr#AI-Driven Agriculture System Plants, Monitors, and Harvests Tomatoes on Its Own
by @sutoroveli_news #AgriTech #Innovation #Technology #TechForGood -
Sakana AI Partners with DEEP DIVE for AI-Powered Analysis
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Sakana AI has entered into a partnership with the non-profit organization DEEP DIVE to leverage AI for information analysis. https://
sakana.ai/deep-dive-part
nership/
… ■Expertise and open data × Proprietary AI technology
■Achieving analysis at scales, speeds, and resolutions that are difficult -
Google’s new anything-to-anything AI model is wild
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Google’s new anything-to-anything #AI model is wild
by Allison Johnson @verge Learn more: https://
bit.ly/49iHZqj #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Unitree G1 Humanoid Robot Shows Advanced AI-Powered Movement and Balance
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⚡️ NEW: The Unitree G1 humanoid robot showcased advanced walking, balance, and movement capabilities powered by AI-driven real-time motion control
— Amitav Bhattacharjee (@bamitav) 29 mai 2026
pic.twitter.com/tCaIWBaA7O#humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence…NEW: The Unitree G1 humanoid robot showcased advanced walking, balance, and movement capabilities powered by AI-driven real-time motion control #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence
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AI Wins Gold at Math Olympiad via Simple Unified Scaling
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Cool! AI can win gold at the International Math Olympiad via Simple and Unified Scaling! Researchers from Shanghai AI Lab, CUHK, Tsinghua and PKU introduce SU-01. Their simple recipe: first train on proof-search and self-checking behaviors, then scale via two-stage
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Anthropic Acceleration: Model Release Cycle Shortening Trend
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Anthropic released the next version sooner than I thought – the trend is accelerating – from 50-70 days before, down to 42 days since Opus 4.7