GPT 5 has just been released… And here's already GPT 6 → https://youtube.com/watch?v=TOZc6bwOnaw … What are the new features? The release date? And why so fast? I'll tell you everything in the video #ChatGPT #ChatGPT5 #GPT5
LLMS
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Mistral Codestral 25.08: Full Coding Suite for Enterprises
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Mistral just dropped Codestral 25.08 — here’s my take 👇
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 22 août 2025
• Coding support in 80+ languages, 256K context
• Comes with Devstral (agents), Codestral Embed (search), and Mistral Code (LLM) → full coding suite
• Local-friendly + privacy-safe, good for enterprises
• May lag… pic.twitter.com/kFyGJKVFzkMistral just dropped Codestral 25.08 — here’s my take • Coding support in 80+ languages, 256K context • Comes with Devstral (agents), Codestral Embed (search), and Mistral Code (LLM) → full coding suite • Local-friendly + privacy-safe, good for enterprises • May lag
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Magic Canvas: AI’s Smarter Context Through Integrated Data, Rules, Assets, and Knowledge
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1. Visual context at the core Magic Canvas isn’t a drawing board. It’s a fully integrated environment where: • Data
• Rules
• Assets
• Knowledge all feed the AI. Smarter context = smarter apps. -
Magic Canvas by Trickle HQ: Sketch, Drop Assets, Describe for Instant Apps
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Introducing Magic Canvas by @Trickle_HQ
— God of Prompt (@godofprompt) 22 août 2025
An agentic canvas where you:
– Sketch ideas
– Drop assets
– Describe in text
AI instantly turns them into a live, deployable app.
Try it now: https://t.co/xBnXgMLbGD pic.twitter.com/kOCeLyCEYgIntroducing Magic Canvas by @Trickle_HQ An agentic canvas where you: – Sketch ideas
– Drop assets
– Describe in text AI instantly turns them into a live, deployable app. Try it now: https://
trickle.so -
Google to Integrate Gemini Deep Research with NotebookLM for Enhanced Sourcing
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DERNIÈRE MINUTE : Google s’apprête à ajouter Deep Research de Gemini à NotebookLM ! Ce serait énorme. Il pourrait ainsi être possible de tirer des sources à la fois du web et de Google Drive. Et ce n’est pas tout, ils prévoient d'autres surprises
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Meta Restructures AI; Musk Claims Grok 5 Approaches AGI
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Top stories in AI today: – Meta’s massive AI restructure
– Google analyzes Gemini’s environmental footprint
– Automate performance reviews and PIPs
– Musk: Grok 5 has ‘a shot at being true AGI’ – 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/metas-major-
ai-restructure
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Small models could topple AI scaling narrative
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If small language models outperform LLMs in practice, the whole AI scaling narrative might collapse overnight.
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Google Gemini vs Mistral: Environmental Impact Analysis
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The Verge publishes a piece criticizing some of these measures: https://
theverge.com/report/763080/
google-ai-gemini-water-energy-emissions-study
… And Mistral's audited report for their older model gave larger amounts of water (50 mL) and carbon emissions (1.14g) per average query. https://
mistral.ai/news/our-contr
ibution-to-a-global-environmental-standard-for-ai
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Environmental Impact of Large-Scale AI Models and Energy Consumption
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Google paper on Gemini: https://
services.google.com/fh/files/misc/
measuring_the_environmental_impact_of_delivering_ai_at_google_scale.pdf
… Sam Altman post: https://
blog.samaltman.com/the-gentle-sin
gularity
… Google search energy in 2008: https://
googleblog.blogspot.com/2009/01/poweri
ng-google-search.html
… Llama 3.3 power usage: -
Energy consumption metrics for Llama 3.3 and GPT-4 training
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These numbers match independent direct measures: 0.00004 kWh for 400 tokens on Llama 3.3 70B on a H100 node. We do not know the amount of energy required to train these models, which was estimated at a little above 500,000 kWh for GPT-4, about 18 hours of a Boeing 737 in flight.