The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

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why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Prediction Not checkable as stated
Roy: Manual data labeling by Scale AI will no longer be relevant
“What they did, their job, again, like actually having people manually tag, like large networks of people manually tagging data to make it more ingestible for a large language model or for a training, It's not going to be as relevant anymore. You can even now h…”
Ranjan Roy Jun 14, 2025 ▶ 40:38 Sam Altman’s Gentle Singularity, Zuck’s AI Power Play, Burning Of The Waymos
Assertion Supported
Kantrowitz: Meta agrees to $14.8B 49% stake in Scale AI
“Meta has agreed to take a 49% stake in the data labeling firm Scale AI for 14.8 billion. Meta will send the cash to Scale's existing shareholders and place the startup CEO Alexander Wang, former Big Technology podcast guest in a top position inside Meta. Meta…”
Alex Kantrowitz Jun 14, 2025 ▶ 27:50 Sam Altman’s Gentle Singularity, Zuck’s AI Power Play, Burning Of The Waymos
Assertion Not checkable as stated
Wang: Pure synthetic AI training data has underperformed industry expectations
“One of the things that we've seen over the past few past year in particular is that synthetic data has not worked as well as I think everybody had hoped. You know, pure synthetic data, just using data generated from the models to try to train future models, th…”
Alexandr Wang Dec 11, 2024 ▶ 44:46 AI Predictions for 2025: Geopolitics, Agents, and Data Scaling — With Alexandr Wang
Assertion Not checkable as stated
Kantrowitz: Scale AI now does most of its training via reinforcement learning
“Scale AI, Alexander Wang's company, they told me recently that most of the training that they're doing is reinforcement learning, where you build environments for the bots and they go and they try to figure out what to do.”
Alex Kantrowitz Apr 27, 2026 ▶ 42:52 Apple After Tim Cook, OpenAI’s New Mojo, Meta’s Internal Tracking Escapade
Assertion Supported
Kantrowitz: Scale AI shifted majority of training to reinforcement learning
“I just did the story for with about scale AI saying that the majority of their training has moved to reinforcement learning where they train models to act in specific environments like filling out forms, and then they baked those capabilities back Into the mod…”
Alex Kantrowitz Mar 9, 2026 ▶ 28:43 AI Revenue Explodes, Dario’s Memo, McDonalds’ CEO’s Baby Burger Bite
Opinion
Kantrowitz: Zuckerberg's Scale AI deal is the exact right move
“So, to me, this is Zuckerberg clearly seeing an issue with his company and making, I would say, the strategic exact right move to fix it, unlike another company that we've seen within flagging AI product that is, it seems like it's still in denial about what i…”
Alex Kantrowitz Jun 14, 2025 ▶ 32:09 Sam Altman’s Gentle Singularity, Zuck’s AI Power Play, Burning Of The Waymos
Disclosure
Hendrycks: I earn $1 a year from xAI and $12 from Scale
“My appointment at XAI, I get a dollar a year. At Scale, I've at Scale AI, I've increased my salary exponentially to where I get 12 dollars a year, a dollar per month from Scale.”
Dan Hendrycks Mar 28, 2025 ▶ 1:05:40 AI's Rising Risks: Hacking, Virology, Loss of Control — With Dan Hendrycks
Prediction Not checkable as stated
Wang: In 2025, AI focus will shift to compute and data equally
“And I think what's going to happen in 25 is we're going to we're going to only be focused on who can create newer, better chips or bigger data centers with more chips, but also who can create newer and better data. And one of the things that I think we're goin…”
Alexandr Wang Dec 11, 2024 ▶ 39:57 AI Predictions for 2025: Geopolitics, Agents, and Data Scaling — With Alexandr Wang
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