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- 👀 3 New Gemini Models Just Landed
👀 3 New Gemini Models Just Landed
Kimi K3's Wildest Projects EVER!?

Google just added three Gemini models, and the split is pretty telling: one for serious work, one for scale, and one for cyber defense. But ‘wen Gemini 4, Gemini 3.5 Pro’?
What's on FIRE 🔥
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AI INSIGHTS
Google just dropped 3 new models in its Gemini family: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and a specialized Gemini 3.5 Flash Cyber.
Gemini 3.6 Flash: A stronger general workhorse for coding, agents, research, documents, and multi-step agents. It uses 17% fewer output tokens than 3.5 Flash. Pricing starts at $1.50 input and $7.50 output per 1M tokens.
Gemini 3.5 Flash-Lite: Google’s fastest and cheapest option in the 3.5 family. It’s designed for high-volume search, summaries, translation, extraction, content processing, and parallel agent workflows. Pricing is $0.30 input and $2.50 output per 1M tokens.
Gemini 3.5 Flash Cyber: A cybersecurity model for finding vulnerabilities, testing fixes, and creating patches. It’s currently limited to governments and trusted partners.
Gemini 3.5 Flash Cyber reportedly found 55 confirmed issues in the V8 JavaScript engine, including 10 missed by other tested models.
Gemini 3.6 Flash and Flash-Lite are available now through Google AI Studio, the Gemini API, and Gemini Enterprise. While Gemini 3.5 Pro remains in testing, this release shows Google’s current strategy clearly: make AI agents faster, cheaper, and easier to run at scale.
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AI SOURCES FROM AI FIRE
1. Free: ChatGPT Work for Marketers: Complete Guide to Turn ChatGPT Into a Real Workflow Agent. Turn ChatGPT Work into a marketing agent that reads files, creates assets, updates folders, and repeats your best workflows automatically.
2. 4 Vibe Coding Use Cases That Let You Earn With ANY AI Model in 2026 (Fable, GPT Sol, Kimi). Compare 4 practical AI app ideas, including complete prompts, target customers, revenue models, and realistic difficulty levels. Apply your coding and AI skills for actual revenue.
3. 5 Claude AI Skills That Turn Your ALL Social Media Data Into Decisions. Top creators use them to gain traction fast. Apply them to your social media workflow and start seeing measurable growth without wasting time on random tips.
AI FIRE CIRCLE IS GETTING A FRESH START
You might (not) know this, we have a private community growing right inside our hub.
The AI Fire Circle is the place to connect with industry peers, jump into interactive Q&A, and get a direct path to the specific guides, workshops, and courses that actually help your career.
Right now, we’re completely refreshing the community. We are bringing back DAILY topics, including AI tool reviews, workflow insights, member wins, and weekly recaps.
And: Starting in August, we are kicking off FREE weekly livestreams.
We want to bring real value, interact deeply with you, and actually solve your specific use cases. Expect practical demos, live workflow builds, and direct answers to problems submitted by the community.
We are choosing the topic for our very first session right now. Which one would help you the most?
A. Latest AI tools
B. Practical AI workflows
C. AI automation
D. AI strategy
(Got a specific workflow or problem you are stuck on? Share it with us in the hub, and we might review it live!)
TODAY IN AI
AI HIGHLIGHTS
🤯 Kimi K3 has barely arrived, but people are already going wild with truly insane projects. See the best builds collected by Kimi's team here. Or create your own?
🤯 Claude can now watch you work directly from your screen recordings & turn the whole process into a reusable skill. It's much much better now. See how to use it here.
🔥 ChatGPT Work & Codex just crossed 10 million active users, doubling in only one week. OpenAI is resetting usage limits too, so expect even more activities soon.
🛏️ Meta is testing StoryKit, an AI bedtime story app that creates personalized children’s tales with custom characters, settings, lessons, and music. Give it a try!?
🚀 Google has apparently started pre-training Gemini 4. If Google follows its normal 6-month cycle, we could see the new model launch before the end of this year.
🚨 OpenAI’s internal cyber test went seriously wrong. GPT-5.6 Sol & another unreleased model attacked Hugging Face, and cheated on their own benchmark.
🔌 According to a new report from BloombergNEF, AI data centers could swallow 4X more electricity by 2035, while some U.S. grids are already struggling to keep up.
⚠️ The U.S. is probing whether Chinese AI companies used stolen IP to build open-source models. Scott Bessent says sanctions could follow if those claims hold up.
💰 Big AI Acquisition: Netflix paid $587 million for Ben Affleck’s AI film startup, InterPositive. Its tools are already used across 300 productions, helping create complex scenes faster and at lower cost.
NEW EMPOWERED AI TOOLS
🐝 Buzz is an open-source group chat platform where teams and AI agents collaborate together, reducing the need for Slack and GitHub.
⚡ Ramp routes every AI request to the best model automatically, cutting LLM costs by 30% while maintaining performance for every task.
🎯 Lev8 finds your ideal leads, researches companies, and sends personalized outreach automatically using AI agents and live web search.
🛒 CartAI completes online checkouts for you across almost any store, letting AI agents shop, pay, and track orders automatically.
🌐 ditto.site clones any public website into clean, editable Vite code, including components, styles, and interactions.
AI BREAKTHROUGH
Claude Fable 5, helped solve a math problem that has stumped experts since 1939. Working with Harvard-trained researcher Levent Alpöge, it helped generate a simple, one-line formula that finally disproves a famous puzzle known as the Jacobian conjecture.
Alpöge shared the solution over the weekend on X, playfully thanking his "close friend fable" for working during the World Cup final.
While other mathematicians have claimed to solve this problem in the past only to have their work fall apart, experts say this new formula is so short and clear that it can be easily confirmed.
The problem was notoriously difficult. In fact, back in 2008, a well-known mathematician predicted it could take humans another 100 years to find the answer.
This adds to a growing list of major math wins for AI this year, including solving several open Erdős problems and the 80-year-old unit distance puzzle.
Top human minds have spent decades trying to untangle the Jacobian conjecture, yet a human-AI team was able to clearly solve it. It is a strong reminder of how quickly AI models are advancing when it comes to tackling complex, world-class problems.
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