Ori Goshen

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

MAD Assertion Not checkable as stated

Goshen: Scaling LLM size is already showing diminishing returns

“And we're already start seeing diminishing returns. I mean, you take the architecture, you increase the size of the models or, and you see that At these levels of scale where, you know, we are dealing with things, diminishing returns, we start seeing it.”

Ori Goshen Sep 20, 2023 ▶ 17:38 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Prediction Not checkable as stated

Goshen: The future of artificial intelligence will be neuro-symbolic

“The future is going to be neuro symbolic.”

Ori Goshen Sep 20, 2023 ▶ 10:10 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Prediction Not checkable as stated

Goshen: In two years, focus will shift from LLMs to multi-model AI systems

“In two years from now, I guess we won't be excited and we won't be speaking about large language models. We'll be speaking about AI systems that use maybe several language models and they orchestrate this solution problem solution in such a way that is more re…”

Ori Goshen Sep 20, 2023 ▶ 14:45 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Prediction Not checkable as stated

Goshen: Enterprise AI will not be a winner-take-all market

“I don't think it's a winner take all kind of market. And I don't think it's a single approach that will be a winner here.”

Ori Goshen Sep 20, 2023 ▶ 30:14 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Insight

Goshen: Deep learning is necessary but not sufficient for reliable AI

“Deep learning is, is amazing. And with that said, it's necessary, but not sufficient component.”

Ori Goshen Sep 20, 2023 ▶ 8:52 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Assertion Not checkable as stated

Goshen: 95% of enterprise AI use cases are task-specific

“95% of the use cases in the enterprise are actually pretty specific.”

Ori Goshen Sep 20, 2023 ▶ 26:43 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Opinion

Goshen: Chat interfaces are not optimal for consuming and producing information

“And it's not delivered in a chat interface. And we did it deliberately because we haven't, we don't think chat interface is definitely the most optimal way to consume and kind of produce information.”

Ori Goshen Sep 20, 2023 ▶ 34:24 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Prediction Not checkable as stated

Goshen: Enterprise generative AI will see production rollouts in six months

“I think in, in six months, we'll see gradual rollouts to production for many use cases.”

Ori Goshen Sep 20, 2023 ▶ 40:58 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Insight

Goshen: Enterprise customers heavily prioritize LLM portability across multi-cloud environments

“I was surprised how much customers care about having the portability and capability of working with a single vendor that can run under different cloud, but not only cloud, other environments as well.”

Ori Goshen Sep 20, 2023 ▶ 24:51 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

MAD Assertion Supported

Goshen: AI21 Labs' Wordtune has over 10 million users

“So we launched it three years ago and it already has more than ten million users and it's continuously growing.”

Ori Goshen Sep 20, 2023 ▶ 34:57 Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs

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

Show	Role there	Eps	Statements	Record
MADLEDGER	Co-Founder & Co-CEO, AI21 Labs	1	10	100% 1/1	full record on the MAD Podcast →