Will President Trump prove tonight that China systematically targeted the 2020 election and the CIA covered it up? @peterschweizer tells me that the receipts are already being declassified: “China was hacking voter databases in multiple states. And that the CIA knew about this. According to [temporary Special Government Employee John Solomon's] reporting, which is again based on documents, the CIA did not want to emphasize it or publicize it because they thought it would HELP Trump in that 2020 election. The FBI got a tip that China was looking for ways to exploit the mail-in election balloting system, and one of the ways in which they were potentially going to do that was through fake IDs. And lo and behold, there was a lot of reporting—official government reports, Customs, Border Patrol, etc. That just at Chicago O'Hare alone, there were 1,500 shipments involving more than 20,000 counterfeit driver's licenses... If you look at their ability to hack into voter databases, and you look at what appears to be a systematic effort to generate large volumes of fake IDs, you merge those capabilities together, you have the potential for really affecting elections.”

The institutional transition to @ethereum is quiet, systematic, and completely inevitable. In a recent conversation, Real Vision founder @RaoulGMI addressed the historical skepticism surrounding Ethereum, pointing out that traditional financial institutions are naturally driven by time-tested longevity and risk reduction. For global banking entities, choosing underlying infrastructure is never about chasing momentary noise. It is about selecting proven resilience and the Lindy effect. Just as enterprise IT standardized on established software giants because choosing the proven industry leader minimizes operational risk, major banks are steadily aligning with Ethereum as their primary settlement layer. Etherealize Co-Founder Danny Ryan further highlighted why true decentralization is precisely what enterprise institutions have been seeking all along. A full decade of continuous engineering has rendered Ethereum globally distributed, multi-client, and capable of maintaining uninterrupted, absolute 100 percent uptime. Major financial institutions demand unkillable infrastructure that no single entity can alter or turn off. When translated into institutional terms, decentralized reliability becomes the exact prerequisite for modern global finance. Strengthened by the largest and most active developer network in the entire digital asset ecosystem, Ethereum has established a massive network effect that continues to compound.

Weekly AI Update APPLE SUES OPENAI $AAPL filed a federal lawsuit accusing OpenAI of systematically stealing trade secrets to develop competing consumer hardware, naming former Apple executives and IO Products in the complaint. Apple is seeking damages and injunctions, while OpenAI denies the allegations and says it does not use competitors’ confidential information. META ADVANCES AI CHIP STRATEGY $META plans to begin production of its in-house AI chip, “Iris,” in September as part of a push to double computing capacity to 14 gigawatts in 2027. The custom chip, developed with $AVGO and manufactured by $TSM, aims to reduce AI infrastructure costs and lessen reliance on $NVDA and $AMD. THINKING MACHINES UNVEILS OPEN AI MODEL Thinking Machines Lab, led by former OpenAI CTO Mira Murati, launched its first open-weight AI model, Inkling, targeting enterprise customization over one-size-fits-all AI. The company aims to compete through fine-tuning services rather than proprietary models, positioning openness and lower deployment costs as key differentiators.

Useful children's cookbook. Moving systematically through the fiction aisles, Elara reshelved the books left on overnight return carts. She matched call numbers to exact shelf positions, fixing misplacements that would have disrupted the library's organization.