David Weisburd

When you think about these LLM wars, probabilistically, where do they end up?

And do you even think that these LLMs have value?

Expert calls have always been one of the most powerful ways to build conviction, but today investors are asked to cover more companies, move faster, and do it with leaner teams.

With AlphaSense AI-led expert calls, their TGIS call service team sources experts based on your research criteria and lets the AI interviewer get to work.

The magic is in the AI interviewer, purpose-built and knowledgeable-based information to conduct high-quality, context-rich conversations on your behalf.

acting as a trusted extension of your team.

Then they take it one step further.

Your call transcripts flow natively into your AlphaSense experience and become queryable, searchable, and comparable, so your primary insights plug directly into earnings preps, digital workstreams, and pitch books with zero tool switching.

And with AlphaSense expert call services, the AI-led expert calls are just one option because we know the importance of a hybrid expert research approach.

AI for coverage and efficiency.

humans for complexity and conviction it's the institutional edge that scales research without scaling headcount for hedge funds that means validating thesis assumptions across dozens of experts before earnings instead of a handful for private equity it means faster pre-ioi scans and deeper commercial diligence for investment banks and asset managers it means pulling real operator perspective straight into models and sector positioning without disconnected tools or manual handoffs

All of it lives inside the AlphaSense platform, trusted by 75% of the world's top hedge funds, alongside filings, broker research, news, and more than 240,000 expert call transcripts, turning raw conversations into comparable, auditable insight.

Take advantage of AlphaSense AI-led expert calls now.

The first to see wins, the rest follow.

Learn more at alpha-sense.com slash how I invest.

Double click on this evolution from the LLM to the reasoning model.

I want to talk about physics, new physics, solving math, solving physics.

But first, there's a philosophical question.

If the model stops and thinks, is it alive?

Is it sentient?