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Claude Sonnet 4.5 vs. GPT-5 Battle War

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Samsung just dropped a tiny AI model that outsmarts models 10,000× bigger, yes, even Gemini and o3-mini. And Harvard’s AI doctor just made medical history.

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AI INSIGHTS

samsungs-tiny-model-even-beat-giants-like-gemini-and-o3

In a direct challenge to the “bigger is better” trend in AI, Samsung’s tiny AI model goes head-to-head with trillion-parameter giants… and win?! → It outperforms OpenAI’s o3-mini, Google’s Gemini 2.5 Pro, and others on the hardest reasoning benchmarks.

TRM is built on a dead-simple idea: instead of one giant pass through data, it loops over its own answer, refining each time until it gets it right.

→ It’s like Chain-of-Thought… without the chain. Here’s what it beats (yes, really):

  • Sudoku-Extreme: 87.4% (vs. ~55% for o3-mini / Gemini)

  • Maze-Hard: 85% (beats larger models)

  • ARC-AGI-2: 8% (still a difficult benchmark for all)

But wait, it’s not a ChatGPT clone. So it won’t summarize your emails. But it will outreason most LLMs on abstract tasks. TRM won’t replace GPT-4. That’s not the point.

You can try it now on GitHub, run Sudoku benchmarks, or build your own recursive agents on top.

Why it matters: It proves that there’s another path forward that doesn’t require a billion-dollar GPU cluster. TRM is basically a counter-punch to the “scale solves everything” mindset.

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TODAY IN AI

AI HIGHLIGHTS

🤖 If you’re not using OpenAI’s Agent Builder and think it’s “just another ChatGPT thing,” read these 50 real use cases boosting productivity across almost all fields.

🃏 ChatGPT, Claude, Gemini, Grok & DeepSeek will battle in the first-ever hilarious AI poker showdown on Oct 27. And you can watch every hand in real time on this site.

📑 DeepLearning AI founder just released a new course on Agentic AI & how to build advanced AI agents using tool use & multi-agent collaboration. Get started here.

🔮 We found an old video of Steve Jobs from 1985 showing him seemingly predicting AI tools like ChatGPT. It’s making waves across social media. Watch it to see why.

🧩 Google just launched Gemini CLI Extensions (2 days after OpenAI's GPT "App”). But these can be published by anyone to plug tools: Figma, Stripe & Nanobanana.

🔥 Google is cooking Veo-3.1 (spotted in the “coming soon” section of Higgsfield). Looks like they got early info or access. You can join the waitlist here.

💰 AI Daily Fundraising: Macquarie Asset Management is investing up to $5.0B in Applied Digital to boost AI infrastructure in North America.

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AI QUICK HITS

  1. 📚 OpenAI’s facing a lawsuit from 17 authors over their works

  2. 🎥 MrBeast said AI means 'scary times' for YouTube creators

  3. 🤝 IBM partnered with Anthropic to integrate Claude’s models

  4. 🏢 Deloitte also deployed Claude AI to its 500K employees

  5. 💼 Acrisure cuts 400 jobs as AI automates accounting operations

AI CHART

harvards-dr-cabot-became-the-first-ai-to-publish-a-diagnosis

Harvard Medical School’s Dr. CaBot became the first AI system to go head-to-head with a human expert in NEJM’s legendary medical case series.

And it did break down its entire thought process like a top physician. Here’s how Dr. CaBot works:

  • You give it a complex medical case like symptoms, history, labs → Then it builds a slide deck and talks through its reasoning:

    • Lists the possibilities (aka differential diagnosis)

    • Rules out distractions and red herrings

    • Cites real clinical papers

    • Reaches a final answer

All in about 5 minutes with “uh,” “you know,” and doctor-like phrasing baked in. It’s… kinda freaky right? You can actually watch these AI case talks online. There are already 15 available.

But when I see it’s powered by OpenAI’s o3 model & trained on 100+ years of Mass General’s CPC cases, I’m like “ah, that’s it”.

This is the first time NEJM has published an AI diagnosis alongside a human’s and didn’t shy away from its flaws either. Still, Dr. CaBot isn’t ready for hospitals yet.

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