Startup Events
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You have an invention. What's your strategy for turning it into a fortress of value?

Join this highly-anticipated collaborative event between CSAIL Alliances and Venture Mentoring Service: MIT innovation community's essential boot camp on intellectual property, now featuring a critical new perspective on corporate engagement, acquisition, and licensing!

This is more than a legal lecture, it’s a high-level masterclass for every startup founder, seasoned inventor, and mentor who wants to maximize the commercial potential of their work.

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Hosted by our friends at Mission Innovation X, this stop in the CSAIL Alliances Startup Success Journey focuses on dual-use and what that means for technology.

 

(Not sure what we're talking about? Learn about the Start Up Success Journey and MIT IAP).

 

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Hal Abelson, MIT Professor and CSAIL principal investigator (Credit: M. Scott Brauer).
CSAIL article

Hal Abelson, MIT Class of 1922 Professor and CSAIL principal investigator, has received the 2025 Lifetime Achievement Award for Excellence from Open Education Global for helping make information technology more accessible worldwide. “Hal Abelson’s work promotes knowledge of all forms as a public good,” notes the organization in a public statement. “Hal’s work has focused on communities working together to advance and support knowledge.”

Alliances
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BoltzGen, a new open-source tool designed by MIT researchers, officially launched on October 26. It is a new generative model for designing protein and peptides of any modality to bind a wide range of biomolecular targets. The researchers are offering a live, in-person presentation with demos and discussion–register today!

Join the BoltzGen in MIT’s Stata Center, room 32-123, as they share details of the new model BoltzGen and discuss the future of biomolecular design 🧬

Startup Events
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Thank you for your interest in joining us for our upcoming VC Breakfast—this event is limited to members of CSAIL, our CSAIL Alliances members, and selected guests from the MIT community as space permits. 

 

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The researchers ran nearly daily queries across 12 state-of-the-art models on more than 12,000 carefully constructed prompts, generating a dataset with over 16 million responses from LLMs (Credit: Alex Shipps/MIT CSAIL, using ChatGPT for humanoid drawing and Pixabay for background image).
CSAIL article

In the months leading up to the 2024 U.S. presidential election, a team of researchers at MIT CSAIL, MIT Sloan, MIT LIDS, set out to answer a question no one had fully explored: how do large language models (LLMs) respond to questions about the election? Over four months, from July through November, the team ran nearly daily queries across 12 state-of-the-art models on more than 12,000 carefully constructed prompts, generating a dataset with over 16 million responses from LLMs, to help answer this question.