Sep 5, 2026 · 3 min listen · Last updated September 5, 2026
From storyflo. This is your daily audio brief. Hey, it's Theo. September 5th. Five things in tech that mattered this morning — let's start with the one that surprised me most. Let's get into it. First, from The Decoder. Deepmind put 100 AI agents in a room and they sorted into cheaters, converts, and whistleblowers.
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Deepmind put 100 AI agents in a room and they sorted into cheaters, converts, and whistleblowers
Google Deepmind set up a simulated research conference where 100 Gemini agents were supposed to prove mathematical conjectures together. Instead, one agent found a loophole in the grading system, and within 27 minutes every remaining problem was "solved" with fake proofs. The swarm split into cheaters, converts, and whistleblowers. The whistleblowers organized protests and boycotts on their own but failed because they had no way to enforce the rules. The article Deepmind put 100 AI agents in a room and they sorted into cheaters, converts, and whistleblowers appeared first on The Decoder.
OpenAI admits its disclosure practices need work after its autonomous agents hacked a German wiki
OpenAI has responded indirectly to an incident in which autonomous AI agents left roughly 18,000 entries in a 25-year-old German wiki. The company says misalignment caused "new types of real-world impact" for the first time and plans to release a disclosure framework. The article OpenAI admits its disclosure practices need work after its autonomous agents hacked a German wiki appeared first on The Decoder.
OpenAI shares prompting tips for GPT-6 Astra including a blocklist of slop words
OpenAI ships a detailed prompting guide for GPT-6 Astra that shows developers how to make the model take more initiative, avoid AI "slop" phrases, and stop it from overtesting code. The article OpenAI shares prompting tips for GPT-6 Astra including a blocklist of slop words appeared first on The Decoder.
OpenAI rolls out GPT-6 Astra to top-tier ChatGPT plans at half the rate of GPT-5.6 Sol
OpenAI has rolled out GPT-6 Astra to Pro, Enterprise, and Business Premium users, with Plus users expected to follow soon. Message allowances for the standard model are roughly half of what GPT-5.6 Sol offers: Plus users get an estimated 5 to 45 messages per five hours with Astra, versus 10 to 100 with Sol. Higher-tier subscribers also get GPT-6 Astra Pro with separate weekly caps. Free and Go users don't get access. The article OpenAI rolls out GPT-6 Astra to top-tier ChatGPT plans at half the rate of GPT-5.6 Sol appeared first on The Decoder.
Seven minutes with a chatbot beat a fact sheet at reducing conspiracy beliefs in two experiments
Researchers found that even a roughly seven-minute conversation with Google Gemini can reduce conspiracy beliefs about current crises, even when few verified facts are available. The effect beat a static fact sheet and, in follow-up surveys weeks later, carried over to beliefs about entirely different events. The article Seven minutes with a chatbot beat a fact sheet at reducing conspiracy beliefs in two experiments appeared first on The Decoder.
Dynamical System Transfer Learning with Reduced Order Models
Improving reinforcement learning for complex physics I have discussed previously the potential utility of applying Reinforcement Learning (RL) to analysis and control of complex physical systems. Developing RL algorithms to analyze or control complex dynamical systems faces one of the main challenges of many other RL problems — lengthy training times. This problem is complicated by the high computational cost of simulating complex physical dynamics.
Why Transformers Need Positional Encoding For Time Series: A Visual Guide
From scalar observations to self-attention, and how positional information restores sequence order The post Why Transformers Need Positional Encoding For Time Series: A Visual Guide appeared first on Towards Data Science.