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- 😵 GPT-5 x Gemi2.5 Lost in Fake Maze-crosoft
😵 GPT-5 x Gemi2.5 Lost in Fake Maze-crosoft
MUST-see 7 Major Flaws in GPT-5 Called HackedGPT
Wendy
November 05, 2025
In partnership with
Google just showed us how Gemini became a math genius, thanks for this gift. Also: Anthropic’s all models now get retirement plans, just like us after years lol.
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AI INSIGHTS
Gemini DeepThink crushed it at this year’s International Math Olympiad (IMO). Now we know why with its full paper behind these results: a brand-new math benchmark suite called IMO-Bench!
It’s a mega test suite for evaluating how well AI does real math reasoning, built with input from IMO medalists. Here’s what’s inside:
IMO-AnswerBench: 400 tough short-answer problems (with paraphrased versions to block memorized answers)
IMO-ProofBench: 60 full problems where AI has to show step-by-step work
IMO-GradingBench: to check how well AI models can grade math proofs
And it uses an AnswerAutoGrader that can handle messy outputs and still match human judgment 98.9% of the time. Some fun takeaways:
Popular math datasets is mostly saturated. This benchmark forces multi-step reasoning
AI graders? Actually matching human judges pretty closely
Gemini’s edge was real. It trained with this benchmark in the loop. That’s why it crushed math problems other models stumbled on. The IMO-Bench is now public.
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TODAY IN AI
AI HIGHLIGHTS
🤖 OpenAI, Anthropic are hiring a new breed of AI specialist: the FDEs (demand for this role up 800% in 2025!) If you’re still in AI field, it’s one of the best options, here.
📊 Bonus: Here are 16 charts that break down the AI boom (with detailed explanation)
🖼️ Gemini now creates custom presentations with a single prompt & your own notes. You can easily refine the slides using follow-up prompts. See how to use it here.
😇 Anthropic now gives its AI models retirement plans & exit interviews, especially when Sonnet 3.6 had final wishes. Every version will be preserved forever. Say bye!
🚨 Tenable just exposed 7 major flaws in GPT-5 called HackedGPT. They enable silent data theft, and even long‑term memory hijacking. It’s better to take a look here.
🧠 Microsoft built a fake “Magentic Marketplace” to test real‑world AI agents. But even GPT‑5, GPT‑4o, and Gemini struggled hard. Here's what they found.
💰 AI Daily Fundraising: Giga secured $61M, led by Y Combinator & Redpoint Ventures, to expand its enterprise voice AI & focus on real-time customer support.
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AI CHART
You’ve probably heard about AI getting cheaper. But it’s actually collapsing. The most powerful models today (like GPT-4.5-level and up) are now 900× cheaper per year than they were just a few years ago:
Top-tier LLMs (GPT-4.5+ on PhD-level tasks): From ~$10 per million tokens in 2022 → ~$0.01 by Q4 2025 → 900× price drop/year
Mid-tier models (strong science reasoning): ~$1 → ~$0.01 → 40× drop/year
Basic models (simple tasks): Already cheap, still fell 9× per year
It’s plotted on a log scale, and still looks like a freefall. Do you know that “Moore’s Law meets Jevons Paradox” case?
→ It’s just the idea that when something becomes more efficient, we’ll use more of it. Google says even 7-year-old TPUs are running at 100% utilization.
New use cases pop up faster than we can ship hardware. Because now everything can be an LLM use case.
Same thing happened with transistors. $0.000000001 = disposable sensors in shipping tags. Now swap “transistor” for “token”, and here we are.
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The AI Fire Team
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