🎬 YouTube Went Full AI Mode. .
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Plus: Google Stitch 2.0: A Guide to the FREE AI Coding & Design Agent
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Google’s new Stitch 2.0 could be the free AI agent that flips coding + design forever. YouTube rolled out its most ambitious AI update yet. And buried in a new study? AI just proved it can out-invent scientists themselves.
What are on FIRE 🔥
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AI INSIGHTS
🧪 AI Is Now Beating Scientists at Their Own Game
A new paper (Sep 2025) shows how an AI + Tree Search system can now write expert-level scientific software – and in many cases, beat the top human-designed methods.
Key Results:
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Bioinformatics: Created 40 new methods for single-cell RNA analysis that climbed past leading tools on the public leaderboard.
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Epidemiology: Built 14 models that outperformed the CDC’s official ensemble and every single human-designed COVID-19 forecast model.
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Other domains: Hit state-of-the-art in:
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Geospatial analysis for land cover + deforestation studies (used by NASA & Google Earth data)
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Neural activity prediction in zebrafish (a benchmark from top neuroscience labs)
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Time-series forecasting on the GiftEval benchmark (a gold-standard used in academic ML research)
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Solving symbolic math integrals with SymPy and LLM pipelines (a tool trusted by millions of engineers worldwide)
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Benchmarks:
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Validated across 6 different scientific fields with strict peer benchmarks.
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In single-cell RNA tasks, the AI’s Batch Balanced KNN (TS) beat the best method (ComBat, a widely used open-source tool) by 14% and outperformed in 11 of 13 metrics.
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Instead of just tuning like AutoML or Copilot, it invented new algorithms by recombining existing ones (e.g., fusing ComBat + BBKNN into something better).
Why it matters: Just like GitHub Copilot changed how developers code, this shows AI can now out-invent scientists in core methods. With trusted benchmarks from the CDC, SymPy, and leading bioinformatics platforms, this isn’t hype – it’s a glimpse of research labs where AI doesn’t just support scientists, it competes with them.
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TODAY IN AI
AI HIGHLIGHTS
🎬 YouTube just packed creator mode: inspiration tab, title A/B tests, auto-dubs, “likeness” detection (open beta), AI highlights for Live, and a Veo 3 Fast upgrade for Shorts. This all dropped at Made on YouTube – plus new brand-deal tools and Shopping tags for easier monetization.
🧭 Bloomberg Weekend argues the ladder isn’t broken: junior roles will adapt faster, usage data backs it, and history rhymes (PC era all over again). Read the case for AI Won’t End Entry-Level Work – with fresh stats from Pew, Anthropic, and OpenAI.
🕶️ William Blair came out bullish after Meta Connect 2025: new Ray-Ban/Oakley smart glasses lineup, better video + battery, broader AI wearable use cases. They still see long-term AI leadership.
☁️ Goldman Sachs raised its target on Baidu: Cloud + AI are the growth engines; non-search could hit 54% of core revenue by 2027. Apollo Robotaxi, chip-to-software stack, and shareholder returns round out the thesis.
💰 AI Daily Fundraising: Terra Security raised $30M in Series A, led by Felicis with backing from Dell Technologies Capital, SVCI, SYN Ventures, LAMA Partners, and Underscore VC. The company, which pioneered agentic-AI powered continuous penetration testing, has now secured $38M in total funding.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
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📋 Dart is the only AI-native project management tool, with chat + agents to plan and execute faster
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📽️ Animant 2.0 turns slides into immersive 3D presentations with audio, video, and interactive models
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📊 Teable makes your data actionable, from invoices to customer insights and marketing content
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🧠 Grok 4 Fast (by xAI) is now live, the multimodal AI model with a 2M context window and top efficiency
AI QUICK HITS
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🌍 Dell says Israeli innovation is quietly powering its AI push – Meier teased PowerFlex Ultra, AI PCs with NPU teraflops, and measurable sales lift without higher costs.
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🚗 Tesla got upgraded to Outperform at Baird on a coming physical AI era – Optimus/robotaxis on deck, and Musk’s mega-milestone plan in focus.
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🧨 Nvidia’s Jensen Huang is “disappointed” amid a reported China chip ban on RTX Pro 6000D – adding fresh strain to already volatile U.S.–China AI trade.
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🧰 Startup ops hack: a crisp Top 10 Project Manager Assistant AI list (ClickUp, Asana, Wrike, Motion, Notion AI, and more) to cut coordination drag and ship faster.
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🛠️ Zapier’s HR Automation Engineer shared her favorite Zapier Agents – Slack to-do capturer, morning digest, and LinkedIn balancer- with plug-and-play templates.
AI CHART
📊 Mistral’s Magistral Models Just Got Smarter
Mistral AI just dropped Magistral Small 1.2 and Magistral Medium 1.2, upgrades to their 1.1 models – and the boost is clear.
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Multimodal now → Both models gained a vision encoder, so they handle text + images in one go.
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Performance jump → +15% on math/coding benchmarks like AIME 24/25 and LiveCodeBench v5/v6.
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Smarter tools → Better at web search, code interpreter, and even image generation.
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Cleaner output → More natural tone, sharper formatting, fewer infinite loops.
For context:
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Magistral Small 1.2 fits on a single RTX 4090 or MacBook with 32GB RAM when quantized.
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Magistral Medium 1.2 is already hitting 91.8% pass@1 on AIME24, a massive leap from 72% in v1.1.
Mistral is signaling something big: these aren’t just efficiency tweaks – they’re reasoning-ready models that can run locally, at scale, and compete with anything from OpenAI or Anthropic.
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The AI Fire Team
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