A profile of Alexandr Wang, a co-founder of Scale AI, which outsources ~240K workers via its subsidiary Remotasks to label the data used to train AI systems
hundreds of thousands of them — powering AI. https://www.forbes.com/... https://twitter.com/... @ycombinator : “There's two things I deeply believe. One, AI is a huge force for good, and it needs to be applied as broadly as possible. Two, we need to make sure that America is in a leadership position.” How @alexandr_wang turned @scale_AI into a $7.3B AI unicorn: https://www.forbes.com/... https://twitter.com/... @accel : AI is evolving rapidly, and @Scale_AI has had a dramatic impact on the ecosystem we see today. With @alexandr_wang at its helm, Scale is on track to become the “AWS of AI”. More in @Forbes: Cc: @daniel_levine #AccelFamily https://www.forbes.com/... @forbes : Alexandr Wang's rise began with a bet he made in 2016 to “label” the mass of data required to power AI, primarily for self-driving cars. Someone needed to train the AI to know the difference between a paper bag and a pedestrian. #ForbesAI50 https://www.forbes.com/... https://twitter.com/... John Paczkowski / @johnpaczkowski : Here's a nice piece of #apple candy from @kenrickcai “An account with Apple's secretive self-driving unit alone was bringing in more than $10 million, the document said, putting annual revenue on track to surpass $40 million.” https://www.forbes.com/... https://twitter.com/... @imdrinknwyn : “240,000 outsourcers who label the data used to train AI” Is this guy using Uighur Slave labor? https://twitter.com/... Devindra Hardawar / @devindra : Looking forward to hearing more about this army of (potentially underpaid) AI workers... https://twitter.com/... Sarah Emerson / @sarahnemerson : A very specific AI vibe captured here in @kenrickcai's fantastic profile of 26 yr. old billionaire founder Wang, who goes from talking about “gorpcore” fashion and Billie Eilish to the importance of American wartime exceptionalism! https://www.forbes.com/... @kiruti : Forbes cover? I am noting this down to see how he pans out in a few years https://twitter.com/... Kenrick Cai / @kenrickcai : To get there, Scale relied on more than just software. Its 600 employees are backed by 240,000 outsourcers who label the data used to train AI. Wang says his human army is crucial. Critics see it as an assailable business — and an ethical can of worms. https://www.forbes.com/... https://twitter.com/... Kenrick Cai / @kenrickcai : Only Mark Zuckerberg, Evan Spiegel and Kylie Jenner hit self-made billionaire status so young. I spoke to Wang about the weight he shoulders — both in Silicon Valley, where Scale helped build ChatGPT, and in D.C. too, where the military is a customer. https://www.forbes.com/... Alex Konrad / @alexrkonrad : One of the world's youngest self made billionaires is a 26-year-old AI hot shot with Apple as a secret client — and an army of low paid workers in the developing world behind his success. Fascinating cover story by @kenrickcai in the new issue of @forbes 👀 https://twitter.com/... John Paczkowski / @johnpaczkowski : Killer read from @kenrickcai: Alexandr Wang briefly became the world's youngest self-made billionaire at 24 by supplying artificial intelligence companies with the one thing they all need: humans. Hundreds of thousands of them. https://www.forbes.com/... Emily Baker-White / @ebakerwhite : folks, the secret to AI is actually just ...humans https://twitter.com/...
Alexandr Wang became a billionaire at 24, planting a flag ahead of the AI gold rush. Excited to share my cover story chronicling his $7.3 billion company Scale AI, providers of the picks, shovels and humans — hundreds of thousands of them — powering AI. https://www.forbes.com/...…
“There's two things I deeply believe. One, AI is a huge force for good, and it needs to be applied as broadly as possible. Two, we need to make sure that America is in a leadership position.” How @alexandr_wang turned @scale_AI into a $7.3B AI unicorn: https://www.forbes.com/... …
AI is evolving rapidly, and @Scale_AI has had a dramatic impact on the ecosystem we see today. With @alexandr_wang at its helm, Scale is on track to become the “AWS of AI”. More in @Forbes: Cc: @daniel_levine #AccelFamily https://www.forbes.com/...
Alexandr Wang's rise began with a bet he made in 2016 to “label” the mass of data required to power AI, primarily for self-driving cars. Someone needed to train the AI to know the difference between a paper bag and a pedestrian. #ForbesAI50 https://www.forbes.com/... https://twit…
Here's a nice piece of #apple candy from @kenrickcai “An account with Apple's secretive self-driving unit alone was bringing in more than $10 million, the document said, putting annual revenue on track to surpass $40 million.” https://www.forbes.com/... https://twitter.com/...
A very specific AI vibe captured here in @kenrickcai's fantastic profile of 26 yr. old billionaire founder Wang, who goes from talking about “gorpcore” fashion and Billie Eilish to the importance of American wartime exceptionalism! https://www.forbes.com/...
To get there, Scale relied on more than just software. Its 600 employees are backed by 240,000 outsourcers who label the data used to train AI. Wang says his human army is crucial. Critics see it as an assailable business — and an ethical can of worms. https://www.forbes.com/... …
Only Mark Zuckerberg, Evan Spiegel and Kylie Jenner hit self-made billionaire status so young. I spoke to Wang about the weight he shoulders — both in Silicon Valley, where Scale helped build ChatGPT, and in D.C. too, where the military is a customer. https://www.forbes.com/...
One of the world's youngest self made billionaires is a 26-year-old AI hot shot with Apple as a secret client — and an army of low paid workers in the developing world behind his success. Fascinating cover story by @kenrickcai in the new issue of @forbes 👀 https://twitter.com/...
Killer read from @kenrickcai: Alexandr Wang briefly became the world's youngest self-made billionaire at 24 by supplying artificial intelligence companies with the one thing they all need: humans. Hundreds of thousands of them. https://www.forbes.com/...