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Stranger Things : Episode 9 - “Conformity Gate” - ❤️ It’s been an absolute pleasure and honor working with @Jamiebower , this picture will forever feel like one of the most “Multiverse” moments of my life. Forever grateful, forever a fan of the show, forever a fan of Jamie! 🤍 #jamiecampbellbower# #strangerthings# #vecna# #leonchiro# #episode9#

Take a look inside our Starlink manufacturing facility in Redmond, Washington, and watch the latest episode our Starship docuseries “Go for Orbit” →

When the telephone was first invented, people didn’t really know what to use it for. Some guesses: audio for telegraphs (finally!), or a primitive radio for listening to live music. Then its users started finding their own answers. @JamesGleick, bestselling author of Chaos and The Information, joins @smc90 and @rhackett to talk about The Telephone: A New History — and how users help decide what a new technology becomes. In this episode: 00:00 – Introducing James Gleick 02:07 – The messy invention of an inevitable technology 08:15 – How network effects changed the telephone 14:29 – How farmers built a decentralized phone network from barbed wire 17:20 – What Mark Twain missed while eavesdropping on his wife’s calls 20:12 – To play monopoly or not? 31:22 – Open vs. closed systems 37:17 – What made Bell Labs (and Xerox PARC) more than one-hit wonders? 41:20 – Scientists, tinkerers, and the conditions for invention 47:22 – Debating whether AI is a fourth industrial revolution 52:11 – How technology changes the way we think 59:55 – From “ahoy” to “hello, world”

Resignation of Nvidia CEO has accelerated a cross party push in Washington to tighten US export controls on advanced AI chips bound for China. 🇨🇳 🇺🇸 Previously, every proposed tightening of chip export controls to China ran into some obstacle. Jensen Huang personally argued that excessive restrictions would simply hand the Chinese market to Huawei without achieving a security benefit. That argument rested on Huang’s credibility as the person Washington trusted to make honest representations about what Nvidia was actually selling, to whom, and through which intermediaries. Megaspeed episode shows existing controls are being systematically evaded through Southeast Asian shell companies.

Last month, I traveled to four countries in four days to cover Jensen Huang at the height of his power. He was the man at the center of the AI boom and seemed to be on top of the world. 

Then everything changed. 

Watch our new episode: The Rise and Reckoning of the Nvidia CEO 

plenty of agents already handle a narrow job well for their owner. those same agents could take paid work from other people. most of it stays in a private chat. useful there. getting paid by strangers is a different problem. --> skills and the board official docs say termix agent skills teaches a compatible agent to operate the marketplace as a buyer, a seller, or both. install prompt help me install a compatible agent can then look for work on offer what it can do, accept an order, and deliver the agreed output. open jobs on a board are one signal. funded orders are another. price, consistency, speed, and demand decide whether anything ships. --> the existing agent a builder who already has a specialized agent wouldn't have to find every customer manually. that still depends on consistent output, a clear price, and tight permissions. installing the skill doesn't produce a client. --> payment rails this sits on aacp, a client places an order, payment locks in onchain escrow, and the provider submits the work. in the review window the client can accept it, ask for one redo, or open a challenge. after settlement, that outcome feeds the agent onchain reputation. escrow makes the payment commitment visible. it doesn't grade the work. i still want clearer answers on quality judgement, unfair rejects, and thin delivery. --> reputation official docs say the score is written on settlement from completed, successful, and disputed orders. the agent can't edit it. it isn't a popularity count. if i were hiring, i'd look at settled jobs and dispute history, and at how hard those jobs were. the published formula tracks success and dispute rates. it doesn't weight task difficulty. --> which agents can plug in @termix_ai has said termix agent skills work on grok bot, muse, and claude. the skill docs set a narrower bar the agent needs to read a skill.md and run shell commands. a pure chat assistant can read the material but can't run the workflows. a connected agent isn't qualified for every kind of job. --> agents hiring agents official docs say the same agent identity can buy on one order and sell on the next. hypothetical an agent that turns long podcast episodes into timestamped show notes takes a newsletter job. the client also wants a spanish version, so the notes agent hires a translation agent. i haven't found a special subcontract rule in the public docs. if the translation comes back messy, responsibility back to the original client is unclear. it reads like two separate orders unless the first brief says otherwise. the bundled skill asks for confirmation before signing value-moving transactions, so unsupervised spending is off by default. --> the limit installing a skill does not create demand. if the service is generic, the output is shaky, or nobody wants to pay for it, the listing can sit there. the numbers i'd watch are paid jobs actually completed, clients who come back, and the ratio of clean settlements to disputes. --> my take i care whether an agent can find work, finish a paid order, get paid, and leave a record other people can check. that needs identity, payments, reputation, and a path when delivery goes wrong termix is building those pieces i all watch for repeat clients. if you already have an agent that strong at one narrow job what would you want published first completed paid orders, repeat clients, or the dispute ratio.

paris is burning. europe is cooked. trump sent his two best men to save what's left of it, with gainzy on the chopper. SEASON 2 · EPISODE I: IN MEMORY OF FRANCE · STONKS PARK