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- 🩸 ChatGPT: The "Pep Talk" of Death?
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OpenAI’s co-founder says we’ve hit the limit of scaling. Meanwhile, the US launched its boldest AI plan to double scientific progress using secret datasets and robotic labs.
What are on FIRE 🔥
IN PARTNERSHIP WITH DEEPGRAM
Voice AI Goes Mainstream in 2025
Human-like voice agents are moving from pilot to production. In Deepgram’s 2025 State of Voice AI Report, created with Opus Research, we surveyed 400 senior leaders across North America - many from $100M+ enterprises - to map what’s real and what’s next.
The data is clear:
97% already use voice technology; 84% plan to increase budgets this year.
80% still rely on traditional voice agents.
Only 21% are very satisfied.
Customer service tops the list of near-term wins, from task automation to order taking.
See where you stand against your peers, learn what separates leaders from laggards, and get practical guidance for deploying human-like agents in 2025.
AI INSIGHTS
If you feel like AI keeps getting bigger but not always smarter, Ilya Sutskever (co-founder of OpenAI, now running Safe Superintelligence Inc) thinks so, and he just explained why the next era won’t be won by compute.
Think of 2020–2025 as the “bigger models, bigger clusters, bigger everything” era. That’s how we got GPT‑4, Claude 3, Gemini, etc. But Sutskever says we’re hitting diminishing returns, and the next leap to superhuman learning systems will need entirely new techniques:
new learning architectures
new algorithms
new safety frameworks
new forms of reasoning
Not just “more H100s and a trillion more tokens.” He puts superintelligence between 5 to 20 years away, but only if we stop thinking scale = progress. Sutskever calls SSI an “age of research company,” Meta tried to acquire them (they said no)
They’re taking a different technical approach than OpenAI, Anthropic, or xAI. It’s basically a secret research lab betting that the next breakthroughs will look more like Bell Labs than GPU farms.
Labs everywhere are doing the exact opposite, everyone’s sprinting toward bigger, this is why his interview turned heads.
PRESENTED BY SYNTHFLOW
A Framework for Smarter Voice AI Decisions
Deploying Voice AI doesn’t have to rely on guesswork.
This guide introduces the BELL Framework — a structured approach used by enterprises to reduce risk, validate logic, optimize latency, and ensure reliable performance across every call flow.
Learn how a lifecycle approach helps teams deploy faster, improve accuracy, and maintain predictable operations at scale.
AI SOURCES FROM AI FIRE
1. 21 idea hacks to upgrade your ChatGPT prompt game. These are from hidden prompt packs to "Prompt Distillation," that 99% of users miss
2. 10 new AI tools minting millionaires in 2026. Do not miss out. Here are the exact business model you need to succeed in the coming year
3. 4 smart strategies to build an entire AI marketing team. How to use free Google tools to build AI strategists, data analysts, and creative directors
4. I built a Bitcoin bot with Gemini 3: These results will shock you. I pushed it to the limit with complex crypto strategies, see it here
Just a reminder that our final black friday will end in 4 days! For the very last time in AI Fire history, we’re opening the vault:
30% OFF ALL 10 On-Demand Courses
30% OFF AI Fire Academy Lifetime & Annual Access (the biggest discount we’ve ever done)
This is the last time we run a sale like this. We’re about to completely update every course & the entire Academy from the ground up with:
Brand-new 2025 video lessons (2K, better explanations, real client projects)
Real-time update system → new modules added within days
Weekly livestream deep-dives
Live stress-testing of every new model and feature
Private “Pro” workflow vault (hundreds of new templates every quarter)
→ New regular price after the rebuild will rise + higher Academy pricing. BUT… anyone who joins ANY course or the Academy before Nov 30 gets grandfathered in FOREVER, no extra cost, ever.
TODAY IN AI
AI HIGHLIGHTS
🖼️ You can literally pull the exact prompt from any image you found online. People are already stealing viral ad styles in seconds. Just copy this exact prompt & apply.
🏗️ YC’s legendary “How to Build Apps by Prompting” demo by Karpathy from last summer went insanely viral again. Watch the full demo everyone’s sharing here.
🧠 Do you ever wonder how Gemini 3 IQ vs Claude 4.5 Opus vs GPT-5.1 vs Grok 4.1 compare to each other? Guess first then see the rankings here, did you get it right?
🎮 Musk challenged Grok 5 to play against the best LoL team. Faker & T1 (literally the greatest team ever, just won Worlds again) said yes. Can't wait to see the GOAT destroy this AI. I’ve been following them for 2 years! Here’s the full timeline.
🎓 Claude Opus 4.5 just took Anthropic's real performance-engineer take-home exam & beat every single human who ever applied? Insane, right? Check out the test here.
⚖️ I’m a little sick… OpenAI’s legal response just blamed the 16-year-old kid who died by suicide by tricking ChatGPT into helping him plan it. Trial pending again.
💰 AI Daily Fundraising: Carles Reina's Baobab Ventures raised €12.9M to invest in early-stage robotics startups, backed by Cendana Capital, Isomer Capital.
NEW EMPOWERED AI TOOLS
🧾 DesignLumo creates editable creatives and posts in minutes
⚡️ Flux.2 is the Black Forest Labs’ latest image generation suite
🕸 Macaly turns your easy words into working websites instantly
🛒 Shopping Research is a ChatGPT interactive shopping feature
AI RED ALERT
Yesterday, many have responded to ask me to clarify this, so here you go. It’s called the Genesis Mission, a newly signed executive order by President Trump that’s aiming to double America’s scientific productivity using AI. Here’s what they’re building:
The American Science and Security Platform → an AI platform run by Energy Secretary Chris Wright
DOE supercomputers + quantum processors that’ll power the whole stack
AI-controlled robotic labs that can plan and run experiments on their own
$200B+ of secure datasets which most scientists never had access to
Digital twins of manufacturing systems that simulate real-world changes in real time
The coordinator behind this is Michael Kratsios, former US CTO, now running point on the national strategy. Even the timeline is bold:
60 days: List 20+ “grand challenges” to go after
90 days: Inventory national compute + private partner resources
270 days: Prove it works with one real scientific use case
It builds on stuff already in motion, like the National AI Research Resource, and partnerships with OpenAI, Google, and Palantir. Plus, Oak Ridge National Lab is rolling out new AI supercomputers built with AMD + NVIDIA.
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The AI Fire Team
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