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One tiny team just did what OpenAI, Google, and Meta couldn’t – fix the most frustrating & biggest AI bug. Y’all didn’t fix this in 5 years with ChatGPT, Gemini,…
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AI INSIGHTS
🏥 Ex-OpenAI’s $12B Startup Solved AI’s Biggest Bug
Thinking Machines Lab, led by ex-OpenAI CTO Mira Murati, just published their first ever research paper, and it fixed a bug that’s haunted LLMs like ChatGPT for years.
What was the problem? → When you ask an AI model the same question twice (same settings, same inputs), you still get different answers.
→ Even with temperature set to 0 (aka “most predictable”), AI still acts… unpredictable.
What’s the fix? → Thinky’s team (with one from Meta) discovered your output changes depending on how many other people are hitting the AI server at the same time!
For example, you order the same coffee from Starbucks every day… but it tastes different depending on how busy the store is. That’s what LLMs were doing. This messed with:
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Scientific reproducibility
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Business reliability
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Model training efficiency
So they built something called batch-invariant kernels which basically teach LLMs to ignore the noise from other prompts in the batch and give you the same output every time.
Why it matters: OpenAI, Meta, Google, y’all didn’t fix this in 5 years. This report just showed the world that tiny teams can still ship massive breakthroughs. Every major AI lab should be watching very closely (and be nervous!)
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TODAY IN AI
AI HIGHLIGHTS
📃 AIs could write a proper research report? Bernstein Research ran a live fire test with 10+ models: Gemini, Claude, ChatGPT,… Well, it didn’t end well. Here’s the final result.
🌊 Seedream 4.0 is #1 in the leaderboard right now (Nano Banana is #2). Users are calling it “way beyond banana”. So we searched for some real tests and here they are.
💡 OpenAI (finally) released full support for MCP in ChatGPT to do more than search. You can now automate workflows, update tickets & link actions. See it in action here.
📝 OpenAI wants to go public & Microsoft says “fine (for now)”. They signed a non-binding deal to let OpenAI restructure as a for-profit company. Here’s the statement.
💸 Oracle’s Larry Ellison briefly became the world’s richest man after his net worth jumped $101B in 40 minutes. Yet he ended the day second, right behind Elon Musk.
💰 AI Daily Fundraising: Coupang is investing 75B won (about $54M) into a 150 billion won fund to support 14 AI startups, boosting South Korea’s plan to increase AI and deep-tech ventures.
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AI QUICK HITS
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📝 Grammarly is expanding beyond English, now with 19 languages
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⏳ Seems like Gemini 3 won’t come out this month but soon > 2.5 pro
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🎵 Stability AI launched Stable Audio 2.5 to create 3-min tracks
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💻 Alibaba and Baidu begin using their own chips to train AI models
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🎓 Florida State University joins Google AI for Education Accelerator
AI CHART
📚 Comparing ChatGPT and DeepSeek for Chronic Disease Guides
AI can actually replace healthcare writers? Kinda, but not really. A recent study tested ChatGPT-4o and DeepSeek-V3 by asking both to write patient education guides for four chronic diseases. They were given the same prompts, both spit out guides with:
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9th–10th grade reading levels
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Over 80% understandability scores
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Reliable quality (47/80 on the DISCERN scale, not bad)
So if you just want basic health info formatted nicely, they’ll do the trick. While both tools felt evenly matched, DeepSeek had a few standout moves:
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More original writing → Turnitin similarity score was 32.5% vs. ChatGPT’s 46%.
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More actionable content → Gave more clear next steps (65% vs. 50% actionability).
This matters if you’re trying to avoid boilerplate language or give patients something they can actually do. But when writing financial-style projections for outcomes or evaluating nuanced care strategies, both fell flat.
Basically: They sound smart, but they’re not critical thinkers (yet). And if you’re wondering, could these bots replace doctors or educators? Nope. Not even close.
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The AI Fire Team
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