What occurs when AI stops speaking and begins working, and who actually owns the worth it creates?
On this episode of Tech Talks Every day, I’m joined by Sina Yamani, founder and CEO of Motion Mannequin, for a dialog that cuts straight to one of many largest questions hanging over the way forward for synthetic intelligence.
As AI programs be taught to see screens, click on buttons, and full duties the way in which people do, energy and wealth are concentrating quick. Sina argues that this shift is occurring far faster than most individuals understand, and that the present possession mannequin leaves on a regular basis customers with little say and even much less upside.
Sina shares the considering behind Motion Mannequin, a community-owned strategy to autonomous AI that challenges the concept automation should sit within the arms of some large companies. We unpack the idea of Massive Motion Fashions, AI programs skilled to carry out actual on-line workflows somewhat than generate textual content, and why this subsequent section of AI calls for a really totally different type of coaching knowledge.
As a substitute of scraping the web within the background, Motion Mannequin invitations customers to contribute actively, rewarding them for serving to prepare programs that may navigate software program, dashboards, and instruments simply as a human employee would.
We additionally discover ActionFi, the platform’s outcome-based reward layer, and why Sina believes attention-based incentives have quietly damaged belief throughout Web3. Moderately than paying for likes or impressions, ActionFi focuses on verifying actual actions throughout the open net, even when no APIs or integrations exist. That raises apparent questions round safety and privateness.
This dialog doesn’t draw back from the uncomfortable components. We discuss brazenly about job displacement, the financial actuality dealing with companies, and why automation is unlikely to decelerate. Sina argues that resisting change is futile, however shaping who advantages from it stays potential. He additionally displays on classes from his earlier fintech exit and the way actions develop when individuals really feel they’re pushing again in opposition to an unfair system.
By the top of the episode, we sit up for a future the place a lot of immediately’s computer-based work disappears and ask what success and failure may seem like for a community-owned AI mannequin working at scale.
If AI goes to run extra of the web on our behalf, ought to the individuals coaching it have a stake in what it turns into, and would you belief an AI ecosystem owned by its customers somewhat than a handful of billionaires?
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