A new Mandela Effect is rising. Since when does the Soviet flag carry a star above the hammer and sickle? Many of us remember it clearly without one. If you recall the flag without the star… you may be from the old Earth. Shifted into this denser, clown-world timeline. The memory itself is the proof. The body knows. The soul knows. We are not crazy. We are remembering. I miss the old Earth too. Yet we are here now to hold the Light and anchor a higher one. Who else feels this?

➥ 6.4 million AI agent payments, but only $120K moved that's the reality of x402 payments today, and i think it's time we look beyond tx counts and focus on the actual economic value AI agents are creating. according to BeInCrypto's latest research, here's what happened over a 35-day period: – 6.4M x402 transactions processed just $119,947. – 90.8% of payments were worth less than $0.01. – avg tx value was only \~$0.019. – institutional readiness scored just 12/100. – 14 out of 19 AI tools still operated under human-defined spending limits. clearly, AI agent payments are gaining adoption, but meaningful economic activity is still limited. most transactions involve API calls, data access, and other tiny automated payments. i don't think micropayments are a bad thing. they're actually a perfect use case for x402. but there's a big difference between an agent spending $0.01 on an API call and a business trusting one to manage $10K. so what needs to improve before AI agents can handle real capital? [1] Agent Identity & Trust businesses need to know which agent they're dealing with, who controls it, and whether it can be trusted. [2] Spending Controls & Risk Management agents need programmable spending limits, fraud detection, permission systems, and compliance checks before executing transactions. [3] Real Economic Demand we need more agents paying for actual services, B2B operations, trading, compute, and automated financial workflows. and if this happens, i think several projects are worth watching: → solana:PAYmo6moDF3Ro3X6bU2jwe2UdBnBhv8YjLgL1j4DxGu | @PayAINetwork: x402 payment facilitator handling verification and settlement for AI agents. → $KITE | @GoKiteAI: building identity, payment infrastructure, and programmable permissions for autonomous agents. → skale:native | @SkaleNetwork: supporting gas-free x402 micropayments and pay-per-use API marketplaces. → $VIRTUAL | @virtuals_io: developing an agent economy where AI agents can provide services and transact with each other. → $BNKR | @bankrbot: building financial infra, wallets, and tools for agents to manage funds and execute on-chain actions. → t54 | @t54ai: building identity verification, risk assessment, and credit infrastructure for agent payments. i'm still bullish on the agent economy, but i'll be watching real payment volume, revenue, and token value capture much more closely than raw tx counts.

Sam Altman's one-person company prediction is coming true. Anthropic just bought one. The founder of Mithril Medicine used Claude to take a muscular dystrophy antibody treatment from concept to proof-of-principle in mice in 18 months, with just himself, Claude, and part-time consultants. The technical report is great. I will quote: 'The week opened with the handover of two cell-based assays, cell adhesion and flow cytometry, within our team, while eleven questions remained open with the assay CRO. In two sentences, one of us asked Claude to review the latest emails between the outgoing assay lead and the assay CRO and to recommend next steps for the handover, and gave it the link to the handover folder. Claude returned a bottom line after 96s and a full plan with five drafted emails after 18 min. For the full plan it read six email threads, the handover folder, two slide decks and two reports, all in the mailbox and file store to which we had given it access. Four working days later, nine of the eleven questions had an answer in writing and the other two had been left to pilot experiments. The adhesion screen was thereby set out in writing. The CRO drew the plate map to the format that our team had requested, Claude compiled the run order and the material calculation from the production data, and one of us reviewed and approved them. On day 4, the production CRO delivered its data package, a report of 341 pages, which one of us forwarded to Claude in two sentences, with the request to review it, share observations and recommend next steps. Claude returned a bottom line after 2 min 40s and, once it had read every page, a visual synthesis of all 113 constructs after 7 min 53s. The synthesis arranged the constructs on the grid of 14 by 8 arms. Claude marked 82 constructs for screening as is, seven for additional polishing, and the 24 constructs of three laminin-binding arms to be held back from the cell-based assays on production criteria. Each of the 113 constructs thus had a proposed next step in less than 8 min. Claude had recommended binding kinetics for all 113 con-structs, and on day 7 one of us challenged this plan. Claude defended it within 27s, arguing that affinity would show whether the three arms merit further work. One of us overruled this recommendation and set the three arms aside on production criteria. Their material remains in storage. Four minutes later, Claude had revised its memo, the working page, the run order and three unsent drafts from 113 to 89 constructs. It had also applied the ruling to three dependent steps in the unsent drafts, each flagged for our veto. The exchange took 7 min 36s from challenge to new plan, and every affected email was still an unsent draft. After the ruling, eight emails drafted by Claude went out on the same day to three CROs and a consultant. Over the whole week, Claude drafted 17 emails, each in answer to a request from one of us, and we sent 12 of them, each after editing. With its drafts, Claude listed 41 points, such as tube fills, shipping conditions, recipients and assay settings, for which it had found no written statement of ours, so that we could confirm, change or strike each before sending. We kept some, struck others and changed one. Among the passages that we kept were proposals for controls. One draft proposed a comparison of polished and unpolished material on one sensor chip, to size the error that impurities cause in the rest of the panel. Another requested a buffer control diluted like the most dilute sample, so that any effect of the buffer appears at its largest. These proposals concerned the measurement of constructs that had already been produced, and each reached a CRO only after one of us had reviewed and approved it.

美国白宫发了一个特朗普的视频：“共产主义是全世界自由人民的敌人。” 可是，你想过没有： 共产主义并未通过屠杀原住民来建立国家。 共产主义没有轰炸半个地球。 共产主义并未殖民整个世界。 共产主义没有参与非洲奴隶贸易。 共产主义并没有把中东变成火药桶。 共产主义没有在加沙实施种族灭绝。

Today we’re announcing a $600M Series C, co-led by @CapitalG and @emergencecap, to bring fully autonomous machines to more job sites across the U.S. We want autonomous equipment to become beautifully unremarkable, as ordinary on a job site as GPS or grade control.

Tell me again how we landed on the moon over and over with less data than what I have in my cell phone. But it is taking us literally years to figure out how to go back.

If we want to continue progress in science, we must be prepared to acknowledge that the correct description of nature will eventually simply be too complicated for humans to understand. I do not think it is wise to make human understanding a requirement. AI is the way forward.

This is the BBC’s reporting of the roadster So negative. The UK establishment HATE innovation.