Person
1 episodes · 12 quoted claims
Nate B. Jones says the Sky team, acquired by OpenAI, helped launch a computer use product for Codex.
“the Sky team, which was acquired by OpenAI, was able to use the tech technology and the talent on that Sky team to launch a really effective computer use product for Codex.”
Nate B. Jones says Anthropic and OpenAI launched forward deployed engineering programs because a raw language model placed in an enterprise does not produce useful results by itself.
“this is why Anthropic and OpenAI and others have launched their own forward deployed engineering programs, they've realized in the last few months that you can't just stick a raw LLM into an enterprise and expect magic to result.”
Nate B. Jones says Kimi K3 takes many more tokens, around 50 or more, to solve business tasks than Fable does.
“takes many more tokens, something like 50 or more to solve business tasks than Fable does.”
At Shopify, Toby has an agent named River that sits in a Slack channel where everyone can talk to it, and Toby is responsible for it.
“Toby has an agent named River. The agent is in a Slack channel, and everybody at Shopify can talk to that agent, but Toby is the, uh, person responsible for that agent.”
Nate B. Jones says that under a fixed budget, teams can get roughly 80 to 90 percent of the value without a frontier model, at much lower cost.
“you can get 80 or 90 of that value without the frontier model these days, and you get a tremendous cost savings.”
Nate B. Jones says a major shift in agentic tool use occurred in January.
“I have talked about the transformation we experienced in January around agentic tool use and how huge that is.”
Nate B. Jones estimates enterprise AI adoption is about 20 percent a technology problem and 80 percent a people problem.
“it's about 20 a technology problem and 80 a people problem, uh, which is sort of the reverse of what a lot of people expect”
Nate B. Jones says data is the technical issue that most often prevents AI initiatives from succeeding.
“the technical issue that comes up most often that prevents these pilots, these initiatives from succeeding, is data.”
Nate B. Jones says a model's habit of repeatedly checking its work results from lab efforts to reduce hallucinations.
“If you have been annoyed by 5.6 soul talking to you a lot about checking its work, well, that's what they're doing to deal with hallucinations”
Nate B. Jones says AI models have recently brought a large increase in attack capabilities, so enterprises should invest in cyber defense.
“you have a tremendous scale up in attack capabilities for these models.”
Nate B. Jones says the time between AI model releases keeps getting shorter.
“the time between model releases is continuing to get shorter.”
Nate B. Jones says some languages, such as Tamil and Hindi, may use more bytes per character and so cost more compute.
“if you're using Tamil, uh, or if you're using Hindi, it may be more, uh, literal bytes per character in some cases.”