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Balaji· 2025-10-23 20:26
Legal & Compliance - CZ (Changpeng Zhao) was pardoned by POTUS for failure to have an effective compliance program [1] - The case involved no fraud, no victims, no criminal history, and no money laundering [1] - CZ is reportedly the first and only known first-time offender in U S history to receive a pardon [1] - The prosecution of CZ should not have happened in the first place [1]
X @Balaji
Balaji· 2025-10-23 18:13
CZ deserves his pardon.His show trial of a prosecution was a combination of regulatory railroading and ethnic persecution for being Chinese-Canadian.Imagine if Macron was held personally responsible for every crime committed by the 67M citizens of France, and you'll get the absurdity of holding CZ personally responsible for the actions of a few of the 250M+ Binance users.Indeed, if the bureaucrats who went after CZ were similarly held accountable for every violent crime committed in their home states, they' ...
X @Balaji
Balaji· 2025-10-23 17:16
The old world is fading, while the new world struggles to be born; now is the time of popups.A joke, yet also true. Because the postwar order is melting down, while the post-Internet order is just booting up. That means translating internet communities into physical realities: https://t.co/49NA70wZcZ ...
X @Balaji
Balaji· 2025-10-21 16:41
AI Market Cycle & Investment - AI is entering the trough of the hype cycle, presenting an opportune time for investment and building as the space thins out [1] - The industry should focus on the unexpected plateau of AI, which has currently topped out at "far better web search and summary" [3] Limitations of Digital AI - LLM-style digital AI may primarily be repeating rather than truly thinking, limiting its ability to generate novel thoughts [4] - Digital AI operates middle-to-middle due to bottlenecks in prompting and verifying [5] - Online data used for AI training lacks digital signatures, leading to internal inconsistencies and fake data, especially with widespread AI models [9][13] Potential of Physical Specific Intelligence - Physical AI, particularly in robotic guidance, can achieve end-to-end solutions for well-specified physical world problems [6] - Significant AI progress is expected in economically valuable physical world problems like self-driving cars, termed "physical specific intelligence" [7] - Chinese robots are poised to excel in various tasks and form factors, with sidewalk robots and delivery drones already in use [5] - N robots sensing the physical world converge on a consensus reality through SLAM or equivalent, learning from the same physical world [10][12] Future Applications - The industrial application of physically specific intelligence lies in factory robots [15] - The consumer version envisions a garden of intelligent things like robot cars, dogs, and drones that can communicate and understand users [15]