Creator

AI Revolution

3videos

China Just Shocked Everyone With a 10 Trillion Parameter AI Model

Three frontier model stories inside 48 hours, walked in order. The Financial Times reported that ByteDance is training a model with as many as 10 trillion parameters, which would put it above the industry estimates for Anthropic's Mythos 5 at roughly 8 trillion and Fable 5 around 5 trillion, and roughly 3.5x Moonshot's Kimi K3 at 2.8 trillion. Reuters relayed the report and said directly it could not verify it. Meta shipped the beta of Muse Code, a terminal coding agent powered by Muse Spark 1.2, with persistent background agents, a replayable event log, and contributor pricing 12.5x cheaper on input than standard. OpenAI made GPT 5.6 Luna free with unlimited text for roughly a billion users while a much larger flagship, Astra, sits at release candidate under the checkpoint name Mu4. The page rebuilds every number and caveat, and separates what is announced from what is reported, estimated, and leaked.

AIBusinessDeep LearningAug 8, 2026

14:37

AI Revolution

Google Just Made a Massive Quantum Breakthrough

A dense fifteen minute walkthrough of one Nature paper from Google Quantum AI and Google DeepMind, Reinforcement learning control of quantum error correction. The premise: a quantum computer's real problem is not that qubits are fragile, it is that the machine is analog and its thousands of microwave control parameters drift out of tune while you use them, and the only fix so far has been to kill the computation and recalibrate. Google gave the error correction system's own detection events a second job, feeding them to a reinforcement learning agent that retunes the controls while the computation keeps running. On a Willow processor it found another 20% suppression of the logical error rate on top of full expert calibration, delivered a 3.5 fold improvement in stability against injected drift, and set record logical error rates of 7.72 x 10^-4 per cycle for the distance 7 surface code and 8.19 x 10^-3 for the distance 5 color code. Simulations to distance 15 and 40,000 parameters show the training cost is independent of system size.

SciencePhysicsAIJul 23, 2026

16:16

AI Revolution

The Fable 5 Backlash Is Getting Serious

This is an AI Revolution news report on the backlash to Anthropic's newest model, Claude Fable 5, in the days right after launch. The narrator's argument is that the controversy is not about the model being weak. By Anthropic's own product team's account it is roughly 10 to 20 points above Opus 4.8 on certain evaluations. The controversy is about trust. Two things went wrong at once.

AIJun 11, 2026