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Meta is suddenly playing with the AI giants. Muse Wonder Full ranks #4 on Artificial Analysis, just 2 points behind Opus 5.5. Its coding benchmarks might surprise you.
What’s on FIRE 🔥
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AI INSIGHTS
🤖 Meta Enters Top Tier Race with Muse Wonder!
Meta just released Muse Wonder & Muse Wonder Full, its first serious attempt at competing at the very top of the frontier-model race. And it’s surprisingly strong.
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Muse Wonder Full scores 56 on Artificial Analysis’ Intelligence Index, only 2 points behind Opus 5.5. It currently ranks #4 overall.
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It hits 79.0 on DeepSWE 1.1, the best reported result on that benchmark.
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On MemoryBench, Muse Wonder scores ahead of Opus 5.5, GPT-6 Astra, and Fable 5.1 in Meta’s evaluation.
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Both models support text, image, audio, and video input with roughly a 1M-token context window.
Meta built them around Active Memory and Active Focus, designed to remember important information over long periods and stay on track during multi-step work.
Muse Wonder is available through the Meta Model API and Muse Code. Wonder Full is currently exclusive to Muse Code subscribers.
Meta has gone from chasing the frontier to being genuinely competitive with OpenAI and Anthropic. Muse Wonder looks especially strong for long-running agents, memory, and complex coding workflows.
PRESENTED BY ATLASSIAN
State of Product reveals what AI still hasn’t solved
80% of product professionals say AI helps them ship faster, but customers aren’t seeing value any sooner. Atlassian’s State of Product 2027 explores the gains AI is delivering and the challenges that remain, from decision-making that hasn’t kept pace to gut instinct overriding customer evidence.
NEW CLAUDE SKILLS FOR SMALL BUSINESS
🚀 Anthropic Made 5 Free Yet Powerful Claude Skills for Almost Any Type of Work
Anthropic just added 13 new Claude skills for small businesses, bringing the total to 44.
Sounds impressive, right? But I bet you don’t want to install 44 skills and guess which one Claude should use every time.
More skills don’t automatically mean better results.
With Claude plugins, you can automate everyday work like finding leads, writing marketing content, and managing emails. You can even build your own skills so Claude follows your workflow.
But some skills overlap. Claude might pick the wrong one, waste tokens, or make your workflow more complicated than it needs to be.
So I’ve picked 5 Claude skills actually worth trying and will show you how to set them up and use them for real work.
TODAY IN AI
AI HIGHLIGHTS
🍌 Nano Banana 3 Pro already? Google is reportedly training gempix_3_pro internally on Gemini 4 Pro, with a possible November–December release. More leaked infor.
🍿 AI is becoming one of SNL’s favorite targets. “Kevin O’Leary” defended a massive Utah data center as a “very loud computer that steals your job.” Watch 3-minute bit.
📊 GenAI website traffic share update: ChatGPT is regaining momentum, now at 56% traffic share. Gemini held near 25%, while Claude still looks like the wildcard to watch.
🧮 Chinese mathematicians are forming an AI research alliance led by Fields Medalist Shing-Tung Yau, who is also pushing back on criticism of OAI’s 700+ paper release.
⌚ Google’s new Fitbit Edge looks like its biggest tracker refresh in a while. Brighter screen, smarter fitness guidance, deeper health tracking. Pre-orders are open now.
🏛️ The White House plans to move three senior CAISSI AI testers closer to its policy team, giving model evaluators a seat earlier in decisions on frontier AI systems.
💰 Big AI Fundraising: Nvidia invested $800M in Reflection AI and is now in talks to deepen ties or buy the startup, valued at $25B, to strengthen America’s open-model push against DeepSeek.
NEW EMPOWERED AI TOOLS
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🤖 Restless helps companies make their APIs work better with AI agents by turning failed requests into actionable next steps.
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🎬 ngram 2.0 turns your ideas, docs, and screen recordings into polished videos, with animated explainers you can edit through chat.
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💬 Knocket adds a free chat bubble to your website, and uses AI to reply when you’re away. Free, no credit card, live in minutes.
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💻 Base Code lets your whole team update existing codebases from a browser using plain English, and submit code without any setups.
AI BREAKTHROUGH
⚡ SubQ Snap Launches Ultra-Fast Enterprise Decision Model With $0 Outputs
Subquadratic just launched SubQ Snap, the first long-context decision model for real enterprise work. Snap is the only decision model or LLM where compute per token stays constant as context grows. Some strong numbers:
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384K context, around 12× Jev’s 32K limit.
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61.7 on Decision Index v0.2.1 vs Jev’s 57.9.
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Beat Jev on 13 of 16 enterprise-focused benchmarks.
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Scored 74.0 vs 48.0 on its long-context multi-document reasoning test.
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Costs just $0.05 per 1M input tokens, with output free.
Snap is different from a normal LLM because it focuses on structured decisions: which tool an agent should call, which file matters, whether a result passes, how to route a support ticket, or whether another model needs to step in.
Reported model latency ranges from roughly 80 ms with minimal context to 2.5 seconds at 384K tokens.
It is available now in public preview, and the first 10,000 users get 100M free input tokens. Snap is trying to give AI agents a cheap, extremely fast “decision layer,” so expensive frontier models only get called when deeper reasoning is needed.
A CRM so smart, it updates itself.
HubSpot’s CRM is so smart, it now updates itself. Calls get logged and summarized the moment they end. New leads get researched and a first outreach drafted, automatically. Deals move forward on their own, with next steps flagged before you have to ask.
Even the one repetitive task you’ve been meaning to fix can now run itself, no code required. Customers using it are already seeing the difference.
This isn’t the CRM you have to work hard to figure out. It’s the one already working before you log in.
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The AI Fire Team
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