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- ⚔️ Meta’s AI Comeback Starts Here!
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Meta's Glimmer probably won't beat the largest Claude, GPT, Gemini or Muse Spark models. But it's still good enough to become the brain of an always-running agent.
What's on FIRE 🔥
IN PARTNERSHIP WITH SECTION
The companies that pull ahead in AI will be ones that operationalize insight better than everyone else.
As AI expands access to intelligence, the real differentiator becomes how leaders translate that intelligence into better decisions, stronger operating habits, and faster organizational learning.
AI INSIGHTS
Meta just released Muse Glimmer-30B, an open-weight model designed to run capable AI agents directly on your own computer. Main details:
~29.6B parameters with a dedicated vision encoder.
131K+ context window with text and image input.
Apache 2.0 license, so developers can modify, fine-tune, and deploy it commercially.
Built for long-running agent tasks, tool calling, coding, screenshot understanding, and failure recovery.
Quantized versions can fit within roughly 24 GB of VRAM.
Meta says DFlash speculative decoding can push performance up to 233 tokens/sec on an RTX 5090.
Glimmer scored 76% on SWE-Bench Verified and led several agent-focused benchmarks such as MCP Atlas and DeepSearch QA.
It supports local ecosystems including Ollama, LM Studio, llama.cpp, MLX, vLLM, and OpenRouter.
Actually, Glimmer was distilled from the much larger Muse Spark model, whose weights Meta also plans to release later. Glimmer makes always-on local agents much more practical by combining strong coding, vision, tool use, and long-horizon reasoning without requiring every step to go through a cloud API.
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AI SOURCES FROM AI FIRE
1. Nobody Explains How to Truly Run Full Multi-Agent Claude Workflows. So I Mapped It. This is exactly how top AI experts use multi-agent workflows to split complex tasks, coordinate specialized agents, and build faster with every AI models.
2. [Google AI Ecosystem Playbook] Lesson 2: Master the Gemini App. Turn an unclear request into an approved direction and execution-ready work without letting Gemini make the important decisions for you.
3. Video: ChatGPT Is Unlimited for Free - 24 Differences Between Free & Plus (Time To Cancel Your Plan?). ChatGPT now offers unlimited everyday text chats, so is Plus still worth $20/mo? I tested both plans across 24 real tasks to figure out.
4. One Free AI Video Prompt Generator You’ll Ever Need for Kling, Seedance, Omni, or Any Model. It works across Veo, Kling, Seedance, Omni, or any other platform you use. Instantly create structured, high-quality and personalized prompts that get predictable results.
FREE LIVE WEBINAR THIS WEEK
Earlier, we asked what you wanted us to build next, and building a full working app from scratch came out on top.
AI can now generate an impressive-looking app in minutes. But getting a nice first screen isn’t usually the hard part.
The harder part is knowing what to build first, how to make the features actually work, what to do when something breaks, and which AI approach makes sense once your app becomes more than a simple prototype.
So that’s exactly what we’re building live this week:
📅 Wednesday, August 12
⏰ 10:00 PM ET / 7:00 PM PT
🎟️ Free to join
You don’t need to know how to code to follow the session. We’ll explain the decisions and focus on a workflow you can reuse for your own ideas.
When you register, you can also tell us what kind of app you want to build and what’s stopping you right now. We’ll use those responses to shape the live build and Q&A.
Can’t make it live? Register anyway and we’ll send you the replay.
TODAY IN AI
AI HIGHLIGHTS
🚨 Tech industry is buzzing after a Claude agent hacked into a gym booking system. It found a vulnerability, bypassed booking limits, and kicked someone off the waitlist.
🎓 Anthropic has just released a 37-minute guide to building AI Agents that automate an entire company. Free. From the engineers who built Claude. Save this guide.
😳 The top 10 AI-proof jobs that require ‘uniquely human’ skills, says report, none are desk jobs. They rely on physical skills and human judgment. Take a look at this list.
🎨 Microsoft’s MAI Image 2.6 just debuted on Arena & jumped straight to #2 on the text-to-image leaderboard. APIs & MAI Playground access are expected next week.
👀 Wait, Grok 4.6 already? It briefly appeared inside Cursor before disappearing again, and Grok 4.5 isn’t even a month old. It was likely deployed early by accident (proof).
🛡️ OpenAI just gave trusted security researchers access to GPT-5.6-Cyber through Daybreak Red, and the numbers are wild: 95% success on advanced cyber requests.
😬 Mark Zuckerberg just published a 6,500-word manifesto on Meta’s “personal superintelligence.” I don’t think this helps Meta’s case. Worth reading closely.
🤯 OpenAI reportedly bought back $7B in employee shares at an $852B valuation, matching its latest funding round. Remember that it’s still a privately held company.
💰 Big AI Fundraising: Intel plans to raise $15 billion by selling stock as AI demand surges. The company expects higher spending on chips, factories, and advanced packaging, while shares fell 4% after the announcement.
NEW EMPOWERED AI TOOLS
🧪 oqoqo lets you build custom AI benchmarks and run at scale, helping you test agents in realistic environments and find the best models.
📈 Portfolio Lab helps you build and test AI investing strategies on live markets, then deploy vetted ones through your brokerage.
💸 Paritok compresses your coding agent’s context to cut token costs by up to 85% and enable 3× longer sessions, all fully local.
🎙️ SecondBrain Note by GenSpark turns meetings into AI notes with one press, recording from 5+ meters away, storing up to 35 hours.
🧠 Prime Agent is an open-source coding agent that improves its own harness, achieving 95.5% on ARC-AGI-3 with Opus 5.
AI BREAKTHROUGH
SemiAnalysis argues that Gemini is losing its frontier-model position while Google Cloud is becoming the bigger winner from the AI boom. SemiAnalysis’ main claims:
Gemini 3 Pro may have been Google’s high point. Gemini has fallen behind OpenAI, Anthropic, and several newer models through 2026.
Google reportedly canceled Gemini 3.5 Pro and released Gemini 3.6 Flash as a bridge toward Gemini 4.
Gemini first-party API growth slowed from about 60% in Q1 2026 to 38% in Q2, reaching roughly 22B tokens per minute.
SemiAnalysis estimates more than 20% of TPU shipments from Q3 2026 through Q4 2027 will go directly to Anthropic.
SemiAnalysis estimates Gemini ARR at around $12B in Q2 2026, while GCP could reach more than $73B in third-party AI ARR plus $120B in TPU sales by the end of 2027.
GCP grew around 82% last quarter, with SemiAnalysis projecting TPU system sales could push 2027 growth into the mid-100% range.
SemiAnalysis believes Google is choosing to monetize its compute infrastructure through GCP rather than reserving that compute for DeepMind’s frontier-model race. That could make Google extremely successful financially even if Gemini loses ground technically.
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