Ori Goshen

Co-Founder & Co-CEO, AI21 Labs · 1 appearance on the record.

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founderexecutive@origoshen ↗LinkedIn ↗ai21.com ↗

Ori Goshen is an Israeli technology entrepreneur and the co-founder and co-CEO of AI21 Labs. He previously co-founded Crowdx and served in the IDF's Unit 8200.

10statements → 7claims → 1claims resolved → 3.7/5average certainty → 2.6/5average debate potential → ≈4.0/5argument clarity, estimated →

1 supported 0 partly supported 0 contradicted 6 not checkable as stated how the 7 claims stand · each chip opens the sources

4 predictions · 3 assertions · 1 opinion · 2 insights · every statement was checked. The predictions and assertions are the 7 claims: statements the public record can support or contradict. 1 is resolved, and 6 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Ori argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

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

How they sound: speaking style how? →

212 words/min while actually speaking · 92.1 um and uh per 1k words

No argument clarity score for Ori Goshen: only 7 usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews. Their coarse estimate from 7 raw tape exchanges is ≈4.0/5, shown at half point precision because the sample is small.

Measured by listening to the audio itself: 5,648 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

What they said10 Episodes1

Everything Ori Goshen said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

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

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

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

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

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

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

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

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

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

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

Appearances (1)

Episode	Date	Speaking time
Beyond ChatGPT: Ori Goshen’s Playbook for Building Neuro-Symbolic LLMs	Sep 20, 2023	37m

Ori Goshen

The record, in short

Their most notable supported claim

How they sound: speaking style how? →

Appearances (1)

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