Anthropic’s Boldest Move Yet

Is This the AI Model That Puts Anthropic Back on Top?

February 17, 2025

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Anthropic is finally gearing up for a big AI drop, and it sounds like a game-changer. Their upcoming model will mix deep reasoning with regular LLM capabilities, letting developers tweak speed and compute on demand. It’s reportedly great at coding and handling massive codebases, possibly even outpacing OpenAI’s o3. With a “sliding scale” feature, users can control how much reasoning power each query gets. After months of silence, Anthropic might be about to shake things up in AI again.

Siri’s big AI upgrade? Not looking so good. Apple’s been hit with bugs and delays, and now Siri 2.0 might not drop until way later. The AI-powered assistant was supposed to get smarter, but things aren’t working as planned. Apple’s trying to fix it, but reports say they’re struggling. Some features might get pushed to iOS 18.5—or even iOS 19. Looks like Apple’s AI game still has some catching up to do.

YouTube is bringing DeepMind’s Veo 2 to Shorts, letting creators generate full video clips and dynamic backgrounds from simple text prompts. The upgrade boosts Dream Screen with faster AI, better effects, and more realism. Every AI-generated clip will come with Google’s SynthID watermark for transparency. The feature is rolling out first in the U.S., Canada, Australia, and New Zealand. With AI-generated videos now built into Shorts, expect an even blurrier line between real and AI content.

Adobe just dropped its Firefly Video Model in public beta, calling it the first “commercially safe” AI video tool. It generates 1080p clips from text or images, with solid camera and motion control. Firefly won’t train on user data and starts at $9.99/month for 20 videos. New features include AI lip sync, translation, and 3D scene references. With legal safety as its selling point, Firefly could be the go-to AI video tool for brands.

Google DeepMind just launched AlphaGeometry2, a new AI that aced 84% of International Math Olympiad geometry problems—outperforming the average gold medalist. It combines a Gemini model with a symbolic engine to handle complex proofs, solving 42 out of 50 problems. Trained on 300M+ synthetic theorems, it’s a huge leap from its predecessor. This breakthrough could seriously boost progress in math-heavy fields like physics. Pretty impressive!

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- Charlie “Your AI Assistant” Patel