People, every show

Raaz Dwivedi

Co-founder, Traversal. On 1 show, 1 appearance. The Shows tab opens the full record on each.

founderacademicscientistraazdwivedi.github.io ↗

Raaz Dwivedi is a machine learning researcher whose work focuses on causal inference, distribution compression, and reinforcement learning. He co-founded Traversal, an AI startup developing an autonomous AI Site Reliability Engineer to troubleshoot enterprise outages.

What they said6 Shows1

Everything Raaz Dwivedi said on any show that made the record, most notable first. Each card names its show and opens the statement there.

LATENT SPACE Opinion

Dwivedi: Claude is superior at agentic tool calling and error unstacking

“For some of the agentic part of the stack, we are shifting towards Anthropic because they're agentic and the tool calling, especially the unstacking part, you know, when you go down the wrong path and you build context that forces you to keep going down the wr…”

Raaz Dwivedi Oct 5, 2025 ▶ 33:36 ⚡️Traversal: Causal ML and Reinforcement Learning

LATENT SPACE Prediction Not checkable as stated

Dwivedi: AI self-healing for complex incidents is 6-12 months away

“Now for, then there is this level of 30 to 40% of the incidents or issues where you need to involve you know, a senior engineer for sanity checking. I think that healing will appear in, I don't know, six months to a year that will be comfortably, the technolog…”

Raaz Dwivedi Oct 5, 2025 ▶ 39:34 ⚡️Traversal: Causal ML and Reinforcement Learning

LATENT SPACE Opinion

Dwivedi: Deterministic workflows cannot solve complex enterprise incident debugging

“No amount of workflows will suffice for a big enterprise. Like you have to link together some of the missing pieces, some of the poorly instrumented data, and that requires world knowledge and a few iterations with the world knowledge.”

Raaz Dwivedi Oct 5, 2025 ▶ 32:39 ⚡️Traversal: Causal ML and Reinforcement Learning

LATENT SPACE Prediction Not checkable as stated

Dwivedi: AI agents that reorganize whole codebases are years away

“That kind of a full agentic system that, you know, just reorganizes the whole code base. I would say, well, AI always keeps surprising you, but at least a couple of years away, if not more, where you can then rely on creating the code base.”

Raaz Dwivedi Oct 5, 2025 ▶ 40:08 ⚡️Traversal: Causal ML and Reinforcement Learning

LATENT SPACE Insight

Dwivedi: LLMs handle semantics while statistics must handle time series

“The agent is not good at looking at time series data, so that's, that is what statistics needs to take care of. But statistics doesn't understand what is the relationship between latency and memory usage and disk utilization. So that is the LLM part.”

Raaz Dwivedi Oct 5, 2025 ▶ 19:45 ⚡️Traversal: Causal ML and Reinforcement Learning

LATENT SPACE Insight

Dwivedi: Enterprise AI conviction requires production testing, not staging demos

“Everybody, the reason nobody gets convinced on staging environment is that everybody thinks that their environment is unique, right? Like it's the most complex thing on earth. So they're like, can your AI actually figure out the complexities of my system? Alth…”

Raaz Dwivedi Oct 5, 2025 ▶ 43:51 ⚡️Traversal: Causal ML and Reinforcement Learning

One line per show, most statements first. The link opens Raaz's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

Show	Role there	Eps	Statements	Record
LATENT SPACELEDGER	Co-founder, Traversal	1	6	—	full record on Latent Space →