IBM, every mention
18 scenes, the whole family · ← back to IBM
tap a year for its mentions
every year anyone Marc Andreessen 3Andrew White 3Dharmesh Shah 2Bret Taylor 2Steve Yegge 1Samuel Colvin 1Pranav Reddy 1Kanjun Qiu 1Jason Liu 1George Hotz 1
Verbatim, from the transcripts: the passages where IBM comes up
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
- ▶ 33:36 Emil Eifrem And then we looked at all database companies at scale, also known as Oracle, but I have an DB two as well and stuff like that.
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 33:37 Marc Andreessen And the Unix mindset was this thing where basically you don't have these like, like in the old days, like, like the operating system that like made the computer industry really work like in the 19 sixties was this thing called OS three 60,… 3 times in the scene
🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ▶ 9:40 Andrew White Switzerland on this and IBM. 2 times in the scene
- ▶ 55:04 Andrew White You know, then when it gets into the nuts and bolts, I, I do agree that this is going to be like a really hard thing where like, if I am CEO of a company that makes science, like a pharma company or a material science company or something…
⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI
- ▶ 23:03 Brian Fioca Like, um, a coding agent, like Codex, a CLI, it used to be back in the old days, like I started out in the nineties working at IBM as a system administrator, and I had to write my own custom software and bash scripts and whatever to, uh,…
⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- ▶ 8:21 Andrew Feldman IBM benefits from.
SF Compute: Commoditizing Compute
- ▶ 56:00 Evan Conrad It's like this whole IBM thing.
The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- ▶ 13:35 Dharmesh Shah There was a product called IMS from IBM, which is basically index database, what we'd call like a key value store today.
- ▶ 13:35 Dharmesh Shah There was a product called IMS from IBM, which is basically index database, what we'd call like a key value store today.
The AI Architect: Bret Taylor
- ▶ 2:43 Bret Taylor And then, and then when I left, it was like Microsoft, IBM, and then the two startups that I applied to were VMware and Google.
- ▶ 1:05:02 Bret Taylor It's not like IBM, you know, it was like big enough to get a campus and go to business in my lifetime, you know, that type of thing.
Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire
- ▶ 36:07 Samuel Colvin So they have a, there's a PR that I think may have now been merged from someone at IBM talking about remote agents and trying to support this concept of remote agents within Gen.ai.
Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
- ▶ 28:08 unnamed speaker So you can use our model on Google Cloud, AWS, Azure, uh, Snowflake, IBM.
The State of AI Startups in 2024 [LS Live @ NeurIPS]
- ▶ 4:27 Pranav Reddy And the view from the ground was roughly, like, OpenAI is the IBM.
High Agency Pydantic over VC Backed Frameworks — with Jason Liu of Instructor
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- ▶ 1:03:15 Steve Yegge There was some joint study between IBM and some other
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
- ▶ 50:26 Kanjun Qiu Lots of things are starting at that time, and IBM also exists, and all of these other big companies exist.
Ep 18: Petaflops to the People — with George Hotz of tinycorp
- ▶ 3:29 George Hotz Um, system, three, 60 and then x.