According to PolyBeats monitoring, 2 accounts with a 75%+ win rate in predicting the Gemini model release date respectively predicted "Gemini 4.0 to be released this month" and "Gemini 4.0 to be released before November," investing a total of $4k. Currently, the probability of "released this month" is 15.5%.
qmmar's best-related category to this market is Gemini3, with a net category profit of $20.0k. Their win rate across 8 settled trades in this category is 6/8 (75%), including 2 trades with a buy price below $0.8 and a sell price above $0.95. Within a similar cost price range ($0.701-$0.75), their historical median investment amount is $9.0k.
George.Smiley's best-related category to this market is Gemini3, with a net category profit of $30.4k. Their win rate across 39 settled trades in this category is 31/39 (79%), including 6 trades with a buy price below $0.8 and a sell price above $0.95. Within a similar cost price range ($0.001-$0.05), their historical median investment amount is $4, and this investment is 80.3 times that median.
On September 12, the leak account Lyraxana posted an acrostic-style congratulation: "huge congRatulationS Indeed!", with the capital letters spelling out the acronym RSI. Recursive Self-Improvement refers to letting AI participate in improving the next generation of AI and forming a loop, potentially accelerating over time.
On the same day, Anthropic CEO Dario proposed slowing the pace of capability improvements in frontier models so that safety measures can catch up; OpenAI CEO expressed agreement with "slowing down frontier models," while Musk responded that "Dario is right." Google DeepMind co-founder Hassabis subsequently said this direction is correct, but the specific mechanism still needs discussion.
Trump, however, stands on the other side. From September 13 to 14, he said the United States cannot fall behind in the AI race and called the idea of "AI taking over the world" a hoax. This means the White House currently does not support industry-wide mandatory deceleration, and instead places greater emphasis on America's leading position in computing power, models, and commercialization.

