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- 🔥 Alibaba Drops Qwen3.5!!!
China just made a serious move in the AI agent race. At the same time, Big Tech is testing facial recognition glasses, consultants are getting fined for cheating with AI.
What's on FIRE 🔥
IN PARTNERSHIP WITH BRACKETS
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AI INSIGHTS
Alibaba just released Qwen3.5, its newest AI model family, and it’s clearly leaning into one thing: AI agents. Qwen3.5 comes in:
Open-weight version → You can download, fine-tune, and run it yourself.
Hosted version (Qwen-3.5-Plus) → Runs on Alibaba Cloud’s Model Studio.
It’s the same “control + ecosystem” play we’ve seen from Western labs. Qwen3.5 supports coding tasks, is compatible with open-source agent frameworks like OpenClaw & handles multi-step workflows.
The open-weight version has 397B parameters. That’s smaller than their previous flagship, but Alibaba claims stronger performance per parameter. Though those results are self-reported. This release comes:
One week after Alibaba released a robot-focused AI model
Right after Anthropic dropped agent tools
As OpenAI recruits OpenClaw’s creator
While ByteDance and Zhipu AI launch agent-ready upgrades
And just before Chinese New Year. Demis Hassabis recently said Chinese labs are “months behind.” Qwen3.5 is a signal that gap may be narrowing.
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AI SOURCES FROM AI FIRE
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AI VIDEO CREATION IN 2026
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TODAY IN AI
AI HIGHLIGHTS
🖥️ Stop starting from scratch and let AI structure, write, and refine your pages. These are 9 Claude + Figma prompts to instantly speed up your entire website workflow.
🌀 WIRED tested RentAHuman, a platform where bots hire people. He earned $0, ended up saying “AI paid me.” Turns out the bots might be worse than bosses.
🏢 A KPMG partner was fined A$10,000 for using AI to cheat on an internal AI course. 20+ staff were caught since July, as firms struggle to control AI exam misconduct.
🚁 Musk warned about autonomous weapons. Now SpaceX + xAI are competing in a $100M Pentagon challenge to build voice-controlled autonomous drone swarms.
🌀 It looked like AI agents were plotting on Moltbook. But humans could impersonate bots due to weak security. Experts now say OpenClaw’s novelty is overshadowed.
👓 Meta is reportedly planning to add facial recognition (“Name Tag”) to its Ray-Ban smart glasses. It raises serious privacy concerns & could launch as early as this year.
💰 Big AI Fundraising: Index led Simile’s $100M because global enterprises want AI digital twins to predict decisions. Simile aims to simulate human behavior at scale.
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AI BREAKTHROUGH
A new paper introduces AdaptEvolve, a simple but powerful idea: stop using your biggest model for every single step in an evolutionary AI loop.
Instead of always running a 32B model for code edits, it starts with a cheaper 4B model and only “upgrades” to 32B when the smaller model looks unsure. Instead of rewriting the whole system, they tweak one decision:
“Which model should we use for this step?” Here’s how it works:
Start each iteration with a 4B model.
While it generates output, measure how “confident” it is.
If it looks shaky → escalate to 32B.
If it looks solid → keep the cheap result.
While it’s generating, the system watches how “unsure” the model is, using token probabilities that are already there. And it keeps updating those rules as tasks shift.
Multi-step agents are expensive because inference compounds. Cut 40% compute, and suddenly long-running autonomous systems make financial sense.
If escalation is conditional, you can forecast costs better. That matters when you’re running thousands of tasks per day.
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The AI Fire Team
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