“So I think like Turing will probably replace companies like McKinsey, Bain, BCG, and every services company like Accenture, TCS, Wipro, Infosys, like all of these companies doing vanilla services that's going to be automated with these agentic systems.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Jonathan Siddharth
PredictionNot checkable as stated
Siddharth: Solving multimodality, reasoning, tool use, and coding yields ASI
“Turing's the world's leading research accelerator, working with all of these frontier labs to advance them along I would say the four pillars of superintelligence which is multimodality, reasoning, tool use, and coding. If you solve these four things, you will…”
Jonathan SiddharthOct 10, 2025▶ 5:19Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
Insight
Siddharth: ASI means automating 90% of computer tasks for 90% of humans
“And I think of ASI as us having automated 90% of the tasks that 90% of humans do today in front of a computer, right?”
Jonathan SiddharthOct 10, 2025▶ 5:54Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
PredictionNot checkable as stated
Siddharth: AI will automate $30 trillion of global knowledge work
“This is like, if you look at those four dimensional, if you look at that four dimensional matrix, that's 30 trillion dollars of knowledge work that is going to be automated.”
Jonathan SiddharthOct 10, 2025▶ 7:43Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
Insight
Siddharth: Reasoning models ended demand for simple AI data factories
“This industry had a huge shift after the reasoning models came out late last year, O-one being the first. The shift is, before the reasoning models, this industry needed simple data. Gobs and gobs of simple data. You needed a data factory. Or, ah, this industr…”
Jonathan SiddharthOct 10, 2025▶ 12:02Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
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Siddharth: Enterprise AI performs best on 0.5B-to-10B parameter custom models
“It'll probably probably be a smaller model. Oftentimes we see a half a billion to a ten billion parameter model. That's the regime, not a trillion parameter model. And this will be faster, more accurate.”
Jonathan SiddharthOct 10, 2025▶ 36:31Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
PredictionNot checkable as stated
Siddharth: Custom LLMs will allow investment firms to employ fewer analysts
“I think, like, the best firms are already doing this, ah, to help an investment analyst make better decisions faster, and eventually with significantly fewer people.”
Jonathan SiddharthOct 10, 2025▶ 42:22Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
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