The higher tiers of AI psychosis are incompatible with today’s “App Store”
BIG TECH
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Google Launches Gemini 3.1 Pro and Photoshoot AI Feature
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Channeling the Fire Horse energy this week here’s what we launched: — Gemini 3.1 Pro, a step forward in core intelligence that helps you tackle complex workflows and projects — Photoshoot, a new feature for Pomelli by @GoogleLabs that transforms a single product image
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Google Gemini Photoshoot Feature Disrupts AI Product Photography Startups
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Google vient de faire exploser silencieusement des centaines de startups.
— VISION IA (@vision_ia) 20 février 2026
Un jeudi. Sans prévenir.
Pomelli, leur outil marketing IA gratuit, vient d'ajouter "Photoshoot".
Le principe :
→ Tu uploades une photo de ton produit, même prise au smartphone
→ L'IA génère des photos… https://t.co/pazZ74g10Q pic.twitter.com/QM6FBgG1hVGoogle has just silently blown up hundreds of startups.
A Thursday. Without warning. Pomelli, their free AI marketing tool, has just added "Photoshoot". The principle:
→ You upload a photo of your product, even one taken with a smartphone → The AI generates pro studio -
Data Centers Expansion and Secret Starlink Deployment to Iran
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We also discuss the massive expansion of data centers around the world and how they're changing your neighborhood, plus the secret Starlink deployment to Iran. For those of you outside the UK, watch us on YouTube. piped.video/_fUzhlLJ5hY?si=oni2…
→ View original post on X — @_karenhao, 2026-02-20 17:38 UTC
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Gemini 3.1 Now Available on ChatLLM Platform
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Gemini 3.1 is looking very good… Available NOW on ChatLLM
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Foundation Model Concentration: AI Agent Ecosystem Risks
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Another core issue is the concentration of power. Almost all agents depend on 3 foundation model families (GPT, Claude, Gemini), creating potential concentrated points of failure across the ecosystem. There are also no established standards for how agents should behave on the
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Meta’s Sphere Encoder Revolutionizes Image Generation Speed
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"Image Generation with a Sphere Encoder" This paper from Meta shows that you can skip diffusion sampling by training a Sphere Encoder whose latents are forced to uniformly fill a hypersphere. So generation now becomes: sample one random point -> decode This cuts hundreds of
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Quantum’s Big Leap Puts Data Centers in the Spotlight
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Quantum's big leap puts data centers in the spotlight https://cnbc.com/2026/02/19/quantum-computing-data-centers-ai-tech-microsoft.html #AI #MWC26
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@testingcatalog — 2026-02-20
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Google will soon integrate NotebookLM into the Opal workflow builder. This also means that users will be able to rely on the context from their notebooks within their Super Gems on Gemini. * Not available to the public yet