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OpenAIβs Foundation committed $250 million to help workers adapt to the economic impact of AI, while Biohub released powerful new AI protein models that could speed up cancer and disease research.
In todays email:
Daily Update
Social Media
Todayβs Highlight
YouTube
Today Trend
Prompt
Read time: 7 min
DAILY UPDATE
OpenAIβs $250M Plan
OpenAI Foundation committed an initial $250 million to help workers and economies adapt to the fast rise of AI.
The nonprofit arm of OpenAI, which owns 26% of the companyβs for-profit business, announced a major funding plan focused on helping people deal with AI-driven changes in jobs and the economy.
The Foundation will study how AI creates and spreads economic value, focusing on what people can actually access and benefit from, not just income.
It plans to support workers through job retraining and career transitions, while also helping people keep control and purpose in their work as AI use grows.
The group is also exploring long-term ideas like shifting taxes from labor to capital, creating sovereign wealth funds, and giving people lasting stakes in AI-generated value.
With layoffs and worker concerns already growing across industries, many believe these efforts are becoming urgently needed as AI continues to reshape the global economy.
Continue Readingβ¦
TODAYβs HIGHLIGHT
AI That Could Change Cancer
Biohub released new AI protein models that can predict and design proteins, showing strong early results against cancer and immune diseases.
Mark Zuckerberg and Priscilla Chanβs Biohub introduced a new open AI system called Evolutionary Scale Models. The system helps researchers map, predict, and design proteins faster, making drug discovery more accessible.
ESMFold2 is the main model, trained on 2.8 billion protein sequences to predict protein structures and create new proteins.
The model claims state of the art performance in protein structure prediction, including protein interactions and antibody targeting, even outperforming AlphaFold.
Early lab tests already showed promising results, with designed binders hitting 36% to 88% success rates against cancer and immune disease targets.
This could significantly speed up drug discovery and help researchers worldwide build new treatments faster. With Biohubβs $500M Virtual Biology Initiative and open-source tools, AI is moving closer to helping solve some of the worldβs biggest diseases.
Continue Readingβ¦
YOUTUBE
How law enforcement is utilizing AI to sort through data
TODAY TREND
Bluedot 2.1
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Oasis Browser for Mac
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Coworker AI
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SOCIAL MEDIA
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