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My cofounder Milad and I started Dart because we both saw the same thing coming, independently, at different jobs:
AI was about to transform every vertical SaaS industry. And project management was going to be one of the first to change.
Here's the story:
nice break from benchmark charts
Finding the exact genetic cause of a rare disease is like looking for a needle in a haystack. 🪡
On our podcast, @fryrsquared explores with @Avsecz and @adamgayoso how AlphaGenome 2 helps scientists test millions of DNA changes to find vital clues for human health.
Timecodes:
00:00 Introduction to AlphaGenome
04:01 Genotype, Phenotype & DNA
08:30 Transformers to AlphaGenome
12:11 Mapping the Genome
17:45 Rare disease cases
21:10 AlphaGenome 2
30:06 Future vision
38:45 Hannah's thoughts
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scientific discovery speeding up is the one ai promise i really, really want to be true.
Across our projects @GoogleDeepMind, we are witnessing a genuine phase transition in the pace of scientific discovery. You will see a glimpse of this in our releases in the next few weeks.
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If these tools are saving engineers hours, cutting them off to save $100 feels like a bad trade. Also they’d be probably be less willing to experiment with a new model if they had to save the budget for the rest of the day. Not sure this is a good move.
NEW: Apple is cutting employee AI spending budgets even as it pushes workers to use the technology more. Engineers have seen daily limits cut from $300 to $200, with further reductions to $100 planned. Other teams could see limits fall to $25. bloomberg.com/news/articles/…
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Give your agents a place on the team.
Connect favorite agents like Codex or Claude Code, assign tasks with context from your docs, and follow the work through to review.
Your agents move it forward. Your team decides what’s ready. → dartai.com















