- AI Fire
- Posts
- ⚠️ Infinite AI Content. Zero Trust.
In partnership with
Claude’s handing out free API credits. DeepMind is forecasting forests. And METR just revealed something more dangerous than AGI hype - a curve that won’t stop climbing. Once you see it, you’ll understand why economists are starting to panic.
What are on FIRE 🔥
IN PARTNERSHIP WITH RUBRIK
Yesterday, you managed human identities. Today, you're facing hundreds of autonomous AI agents accessing your most critical systems, often without oversight.
Join us to learn how organizations can unleash agents without all of the risk.
In this webinar, we'll discuss the rapid adoption of agents, common challenges and how to overcome them. Specifically, you’ll learn how to:
Improve agent observability with a single view of all agents, activities and permissions
Mitigate agent risk through guardrails, policy enforcement and alerts
Remediate adverse agent actions with precision
Register today to stop flying blind and start accelerating your AI strategy with confidence.
AI INSIGHTS
Image source: phoscreative
We’ve hit peak content chaos.
AI made creation free. But trust? Priceless - and disappearing fast.
2022 → AI copywriters flood LinkedIn with “personalized” pitches.
2023 → SDR bots scrape your details and mimic your tone.
2025 → CEOs ignore all outreach because they can’t tell who’s real.
A B2B SaaS exec said it best: “I don’t even answer the phone anymore. I can’t tell if it’s a person or a prompt.”
Every marketing “best practice” now fails because everyone looks equally credible. Every founder sounds the same. Every cold email feels fake. Even “personalized” outreach reads like it came from a Claude template. The real problem isn’t that your product doesn’t work - it’s that no one believes you exist.
Here’s the shift: Old funnel → leads. | New funnel → trust.
AI killed the cost of production, so authenticity became the only signal left. When everyone sounds perfect, imperfection becomes proof of life.
Why it matters: The next advantage isn’t scale. It’s signal. In a world of infinite words, trust is your only currency.
PRESENTED BY GUIDDE
Create how-to video guides fast and easy with AI
Tired of explaining the same thing over and over again to your colleagues?
It’s time to delegate that work to AI. Guidde is a GPT-powered tool that helps you explain the most complex tasks in seconds with AI-generated documentation.
1️⃣Share or embed your guide anywhere
2️⃣Turn boring documentation into stunning visual guides
3️⃣Save valuable time by creating video documentation 11x faster
Simply click capture on the browser extension and the app will automatically generate step-by-step video guides complete with visuals, voiceover and call to action.
The best part? The extension is 100% free
AI SOURCES FROM AI FIRE
1. I tested 325 AI tools and found the ones that truly work. The best voice, writing, image, and automation helpers to save you hours.
2. Animate your ideas: Ultimate creator's guide to Google VEO 3. How to think like an AI Director, control cinematic shots for pro-level videos.
3. Level up your POD profits with 9 proven AI strategies. Learn to systematize niche research, design creation for consistent growth.
TODAY IN AI
AI HIGHLIGHTS
🧠 You can now test GPT-5.1 (under the name Polaris Alpha) on OpenRouter. Leaked code shows GPT-5.1, Reasoning, and Pro launching by Nov 24. Try it (GPT-5.1) early before public release.
🔐 Understanding Prompt Injection. Hidden instructions can trick AI agents into wrong actions. OpenAI just shared new defenses to stay protected.
🌲 DeepMind’s ForestCast predicts deforestation using satellites only. From tracking losses to forecasting risk - see how it works.
🧩 Anthropic’s MCP adds code execution, cutting token use ~98%. It’s a major upgrade for anyone building multi-tool AI agents.
💳 Claude Code gives free API credits ($250-$1000) till Nov 18. Use them now to test parallel sessions on web or mobile.
💰 AI Daily Fundraising: DealMaker raised $20M in equity and debt funding led by Information Venture Partners, with support from CIBC Innovation Banking. The funds will boost AI-driven fundraising tools and fuel U.S. expansion following the launch of DealMaker Sports and the Rally On Media acquisition.
HOT AI PAPERS OF THE WEEK
Kosmos: An AI Scientist for Autonomous Discovery
Edison Scientific’s Kosmos runs full research loops - data analysis, literature search, insight generation - achieving 79.4% accuracy and 6 months of human research in 1 run. (Edison Scientific Inc.)Diffusion Language Models Are Super Data Learners
NUS and Sea AI Lab show DLMs extract 3× more signal from limited data than autoregressive models, even matching large AR coders trained on far more tokens. (NUS • Sea AI Lab)Towards Robust Mathematical Reasoning
DeepMind’s IMO-Bench tests LLMs on proofs and reasoning. Gemini Deep Think hits 80% accuracy on robust problems and 65.7% on proof tasks. (Google DeepMind • MIT • Microsoft • SNU)Arena Expert by LMArena
LMArena’s new leaderboard ranks models by real expert-level prompts across 23 job fields - from law to coding - testing true applied reasoning, not benchmarks. (LMArena)Thinking with Video: A New Reasoning Paradigm
Fudan & CUHK propose video-based reasoning where AIs “think visually.” Sora-2 tops VideoThinkBench, showing human-like imagination in multimodal tasks. (Fudan University • CUHK)
NEW EMPOWERED AI TOOLS
💰 Apify $1M Challenge rewards developers building AI automation tools with prizes through January 31 and marketplace revenue as long as users run your tools. Join the challenge now
🧠 AI Context Flow adds reusable AI memory so you never repeat context again across ChatGPT, Claude & Gemini.
💻 Compyle is the coding agent that asks first, planning before it builds and syncing with top models.
⚡ Kimi K2 Thinking is a 1T-parameter open-source model, SOTA on HLE with 256K context and deep reasoning.
AI CHART
METR just released a study that quietly defines the speed of progress in AI. They tracked how long human engineers take to solve software tasks that AI models now complete 50% of the time.
The result looks simple - a straight line up - but here’s the twist: the Y-axis is logarithmic. That means every few months, AI doubles the length of tasks it can finish successfully.
GPT-3 handled tasks taking humans ~10 minutes.
GPT-4 stretched that to ~1 hour.
GPT-5 already solves work that takes humans ~2 hours.
Extrapolate that, and by late 2026, AIs could handle week-long projects end-to-end.
METR estimates this “doubling time” at 6 months. Some data hints it’s now closer to 3.
This trend has big economic weight. If capability keeps compounding while inference costs drop 10× yearly, we’re not just getting faster code. We’re watching productivity bend into an exponential curve.
Even modest AI-driven growth - say, +2% GDP per year - would rewrite modern economics. The real question isn’t whether AI will boost growth. It’s how fast the slope steepens before humans fall behind the curve.
We read your emails, comments, and poll replies daily
How would you rate today’s newsletter?Your feedback helps us create the best newsletter possible |
Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.
Cheers,
The AI Fire Team
Reply