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Partner @ Foundation Capital

At the Viva Tech conference earlier this month, NYU Professor and head Meta AI scientist Yann LeCun advised young people to steer clear of working on an LLM. “This is in the hands of large companies,” he told a Paris crowd. “There's nothing you can bring to the table. You should work on next-gen AI systems that lift the limitations of LLMs.” We spent some time recently interviewing different researchers on the directions of AI from a researcher's point of view and what is exciting. Here are some of the key takeaways from the conversations.

10 takeaways from interviewing AI researchers

Jaya G. on LinkedIn

Antti Reijonen

Co-founder and CEO in Gen AI cybersecurity

3w

Jaya G, thanks for sharing! Is there a take-away from this, that the cost of creating AI applications is increasing fastt? Making a really useful Gen AI app (= reliable and able of enough complex workflows) looks to be many times the cost of the 'simple' first version. And does that $$$$/use case in turn mean that enterprises will do only rather few apps themselves and we see a big ISV Ge AI app market? That would certainly suit our strategy at NROC Security....

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Raman Dhillon

Founder, Ratiocinative Management Consulting

1mo

Hi Jaya G., excellent work. Thanks for sharing the insights. At a recent conference we discussed how AI silos are being created within organizations them without knowing or due to lack of integrated AI strategy or AI Operating Model. Using AI is easy, but putting AI to work may require some strategic thinking! Cheers!

Steve Yoo

CEO @ Neptune Cloud Inc. | LLM-based AI Applications

1mo

Totally agreed. It would be the future directions of AI solutions to handle the longer, more complex and recursive tasks. Thanks for sharing your insights.

Hitesh Joshi

Building infrastructure for integrations | x.com/hiteshjoshi

1mo

Wow!! Great insight. Thanks for sharing. 

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