GPT-1, every mention
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every year anyone Jack Clark 2Gary Marcus 2Bryan Catanzaro 2Dwarkesh Patel 1Dario Amodei 1Alex Kantrowitz 1
Verbatim, from the transcripts: the passages where GPT-1 comes up
OpenAI COO Brad Lightcap: GPT-5's Capabilities, Why It Matters, and Where AI Goes Next
- ▶ 4:33 Alex Kantrowitz And the reason why I'm asking is because I think a lot of people have pointed to the leaps from GPT, original GPT to GPT two, GPT two to GPT three, GPT three to GPT four.
Anthropic CEO Dario Amodei: AI's Potential, OpenAI Rivalry, GenAI Business, Doomerism
- ▶ 51:36 Dario Amodei But what we found is even with the more primitive technique, RL from human feedback, it wasn't working with the small language models with, you know, GPT-I that we applied it to and that had, had been built by
Are We at the End of Ai Progress? — With Gary Marcus
- ▶ 3:03 Gary Marcus Two was scaling compared to one. 2 times in the scene
AI Scaling, Alignment, and the Path to Superintelligence — With Dwarkesh Patel
- ▶ 28:07 Dwarkesh Patel It would just be really bizarre to me that GPD one to GPD two, GPD two is actually kind of really interesting artifact for the small amount of investment it took to make it GPD three, a couple million dollars.
Anthropic's Co-Founder on AI Agents, General Intelligence, and Sentience — With Jack Clark
- ▶ 52:46 Jack Clark It was actually preceded by a system called GPT, which no one remembers because it was so, like, early stage research, but the things these had in common was they were transformer-based text generation systems, and GPT-II to GPT got way… 2 times in the scene
NVIDIA's Artifical Intelligence Moat & Origins — With Bryan Catanzaro
- ▶ 47:59 Bryan Catanzaro The first GPT one, you know, it was, it was really kind of using a generative model more for classification than for generation. 2 times in the scene