Why it’s impressive: Character consistency → same face + text style Thinking edits → “make it real” = auto lighting/reflections Multi-turn editing → refine step by step, no detail loss Creative blends → merge 3 imgs, add styles, surreal art
@whats_ai
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AI Nails Single-Shot Background Image Editing Task
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Here’s a single-shot test: I sent a random thumbnail and asked “just change the background.” It nailed it. Pretty much perfect.
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Revolutionary image editing model transforms YouTube thumbnail creation
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I’ve tested every image editing model for YouTube thumbnails over the years. This one? Clearly stands out.
I mean, wow. I’m actually excited for thumbnail work again. -
DeepMind’s Genie 3: Text-Controlled 3D Gaming Environments
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Is DeepMind’s Genie 3 the future of gaming ?
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 25 août 2025
• Generates controllable 3D environments from text prompts at 720p / 24 FPS
• Worlds are interactive, consistent, and remember past actions (no re-gen where you already explored)
• Runs only for a few minutes with ~1 min of… pic.twitter.com/jGxt3a0q3KIs DeepMind’s Genie 3 the future of gaming ? • Generates controllable 3D environments from text prompts at 720p / 24 FPS • Worlds are interactive, consistent, and remember past actions (no re-gen where you already explored) • Runs only for a few minutes with ~1 min of
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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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DeepSeek V3.1: Game-Changer or Hype Analysis
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Is DeepSeek V3.1 a game-changer or mostly hype? Let’s break it down 👇
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 21 août 2025
What’s new:
• Still a similar MoE transformer (671B params, 37B active) with 128K context
• Merges DeepSeek V3 + R1 → one hybrid model with thinking (reasoning) and non-thinking (direct) modes — like… pic.twitter.com/WKMPGwGlQMIs DeepSeek V3.1 a game-changer or mostly hype? Let’s break it down What’s new: • Still a similar MoE transformer (671B params, 37B active) with 128K context • Merges DeepSeek V3 + R1 → one hybrid model with thinking (reasoning) and non-thinking (direct) modes — like
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Google Imagen 4 Released: Three Models Pricing and Performance
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Google’s Imagen 4 is here, but is it worth your time? 🎨✨
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 21 août 2025
What’s new
• Family of 3 models:
– Imagen 4 Fast → $0.02 per image, ~2.7s latency (10x faster than Imagen 3)
– Imagen 4 → $0.04 per image
– Imagen 4 Ultra → $0.06 per image, ~10s latency, higher detail (up to 2K… pic.twitter.com/HkbwHzEBa5Google’s Imagen 4 is here, but is it worth your time? What’s new • Family of 3 models: – Imagen 4 Fast → $0.02 per image, ~2.7s latency (10x faster than Imagen 3) – Imagen 4 → $0.04 per image – Imagen 4 Ultra → $0.06 per image, ~10s latency, higher detail (up to 2K
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Claude 4.1 Update: Game-Changer for Coding and Agentic Tasks
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Is the Claude 4.1 update a game-changer or a small step? 🤔
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 19 août 2025
Let’s break it down 👇
What’s new
• Big boost in agentic tasks, coding, and reasoning → 74.5% on SWE-bench
• Stronger at multi-file editing & precision (nice for coding!)
• Opus 4.1’s coding focus feels like a… pic.twitter.com/aXAMJEu3jCIs the Claude 4.1 update a game-changer or a small step? Let’s break it down What’s new • Big boost in agentic tasks, coding, and reasoning → 74.5% on SWE-bench • Stronger at multi-file editing & precision (nice for coding!) • Opus 4.1’s coding focus feels like a
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GLM-4.5 Analysis: Chinese Open-Source Model Capabilities
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Is the new GLM-4.5 overhyped?
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 13 août 2025
Let’s break it down 👇
What we know:
• From a Chinese lab
• MoE design: GLM-4.5 (≈355B total, 32 experts) & GLM-4.5-Air (≈106B, 12 experts) — similar to Kimi K2
• Pushing open-source AI forward
• SOTA open-model results; reportedly… pic.twitter.com/4RnbS5OFHCIs the new GLM-4.5 overhyped? Let’s break it down What we know: • From a Chinese lab • MoE design: GLM-4.5 (≈355B total, 32 experts) & GLM-4.5-Air (≈106B, 12 experts) — similar to Kimi K2 • Pushing open-source AI forward • SOTA open-model results; reportedly
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ChatGPT Study Mode: AI Tutoring Features and Educational Impact
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🎓 ChatGPT Study Mode… hype or not?
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 9 août 2025
TL;DR: it's a prompt transforming ChatGPT into a tutor-style chatbot: questions, hints, self-reflection, scaffolded steps instead of a direct answer.
• Personalization + quizzes/feedback to check understanding
• Since it's (for now)_ just… pic.twitter.com/9CJ6USmpR3ChatGPT Study Mode… hype or not? TL;DR: it's a prompt transforming ChatGPT into a tutor-style chatbot: questions, hints, self-reflection, scaffolded steps instead of a direct answer. • Personalization + quizzes/feedback to check understanding
• Since it's (for now)_ just