The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
shows 
every show 44 of 44
Sam Altman Barred Investors Who Backed Glean From Investing in OpenAI
“Sam Altman once came out and said, if you're an investor in OpenAI and one of these five companies, including Glean, we don't want you as an investor.”
AI Labs Will Not Dedicate Engineering Talent to Deep Enterprise Search
“If you really want to go deep, I don't think you will ever dedicate the people to do it. And the last thing I'll say is you think about from an anthropic engineer's perspective, you joined a big AI lab to work on models, not to build Google drive connectors, r…”
Anthropic Is the Fastest-Growing Software Company in History
“Anthropic is the fastest growing software company of all time. I think I can say that fairly. I'm, I haven't been disproven yet.”
Diffusion Models Achieve 80% of Autoregressive Quality at One-Tenth the Cost
“Diffusion models today are, I would say, 80 to 90% of the quality at one-tenth the cost and latency.”
Glean Operates at a Several Hundred Million Dollar Revenue Scale
“Look at the revenue of Anthropic and OpenAI right now. These are billion dollar revenue scale businesses. Glean is several hundred million dollar revenue scale business.”
Interpretability Research Will Explain AI Model Outputs Within Three Years
“I think that if we further that research direction two, three years in the future, we will be able to understand why models say what they'd say.”
Anthropic Maintains an 80% One-Year Employee Retention Rate
“I'm referring to the exact same article where I think their retention, one year retention on employees is the 80%, which in AI world is, is quite wild.”
Mechanistic Interpretability Scales Without Bottlenecks to Large Models Like DeepSeek
“There's no gap for scale. Like, they've shown that even for the biggest open source models, you like, even like DeepSeq's big models, you, they can do it. And then in general, like, scaling is not the bottleneck.”