why aren't all 7 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
Assertion Supported
OpenAI deploys HIPAA-regulated AI technology across UCSF
“We now have in America, it's HIPAA, I'm not sure if it's the same out here, but a HIPAA regulated version of our technology, and we are already selling this to physicians, to doctors, UCSF, it's a top leading hospital in America. Every single person there has …”
Assertion Supported
Lemkin: OpenAI conducts annual tender offers paying engineers millions
“OpenAI for engineers does tender offers every year, where you make millions of dollars a year from working in Open.”
Assertion Supported
OpenAI finished training GPT-4 in August 2022, holding it six months for safety
“We actually finished training GPT-IV in August last year, but we waited a little while before releasing it. When we first tried it out, we were all quite flabbergasted by how powerful it was, and we decided to sit on it almost six months to make sure that it w…”
Assertion Supported
Lemkin: OpenAI Relies on Customer Pilots to Close Enterprise Deals
“OpenAI does pilots now. OpenAI, the hottest company on planet earth. Are you another video to close big deals? They have to do pilots.”
Assertion Supported
Hott: OpenAI scaled from ~200 to ~1,000 employees post-ChatGPT launch
“We were about 202 150 people, and we had reached a pivotal moment. We had to scale quickly. We had to end the year at somewhere close to a thousand people.”
Assertion Supported
OpenAI has kept the ChatGPT Plus subscription unchanged for over a year
“ChatGPT Plus has been our ChatGPT subscription for over a year now, and so that's an example of something we haven't changed that I think I'm proud of and we've been thoughtful about where and when We'd change that, but it has stayed the same in the market, wh…”
Assertion Supported
Rosenthal: English language averages roughly 1.3 tokens per word
“A token is almost a word. It turns out there's about 1.3 tokens per word in the English language, and you consume tokens when you put in a prompt, and then you get an output or a completion.”