151–160 of 193 posts
this is such an interesting problem. Imagine expanding the input size to 3.2Gbp, the size of human genome. I wonder if previously unimaginable interactions would occur. Also interesting how everything revolves around U-nets and transformers these days.
When I went to work at Google in 2008 I immediately advocated for spending significant resources on the biological sciences (this was well before DM started working on biology). I reasoned that Google had the data mangling and ML capabilities required to demonstrate world-leading results (and hopefully guide the way so other biologists could reproduce their techniques). We made some progress- we used exacycle to demo…
I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.
You may enjoy this, from a top-down experimental perspective ( https://www.nikonsmallworld.com/galleries/small-world-in-mot... ). Only a few entries so far show intracellular dynamics (like this one: https://www.nikonsmallworld.com/galleries/2024-small-world-i... ), but I always enjoy the wide variety of dynamics some groups have been able to capture, like nervous system development ( https://www.nikonsmallworld.com/…
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Since we're on the topic of Microsoft, I'm sure you'd agree that Satya has done a phenomenal job. If you look objectively, what is Satya's accomplishments? One word - Azure. Azure is #2, behind AWS because Satya's effective and strategic decisions. But that's it. The "vibes" for Microsoft has changed, but MS hasnt innovated at all. Satya looked like a genius last year with OpenAI partnership, but it is becoming incre…
People now days don't understand how genius MS was in the 90s. Their strategy and execution was insanely good, and I doubt we'll ever see anything so comprehensive ever again. 1. Clear mission statement: A PC in very house. 2. A nationwide training + certification program for software engineers and system admins across all of Microsoft's tooling 3. Programming lessons in schools and community centers across the count…
They also leveraged their relationship with Intel to the max - Wintel was a phrase for a reason. Companies like Apple faltered, in part, in the 90's because of hardware disadvantages.
Often their competitors had superior products - but MS still won through - in part helped by their ruthlessly leveraging of synergies across their platforms. ( though as new platforms emerged the desire to maximise synergies across platforms eventually held them back).
That aggressive, Windows everywhere behaviour, is what united it's competitors around things like Java, then Linux and open source in general which stopped MS's march into the data centre, and got regulators involved when they tried to strangle the web.
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Microsoft has become a lot more friendly to open source under Satya. VSCode, GitHub, and WSL happened during his tenure, and probably wouldn't have happened under Ballmer. Turning the ship from a focus on protecting platform lock-in to meeting developers where they are is a huge accomplishment IMO.
> Microsoft has become a lot more friendly to open source under Satya. True, but that's just few open source projects, albeit influential ones. There are soo many other companies doing influential open source projects. I dont disagree with anything you said because turning a ship around is hard. But hand-to-heart, what big tech company is truly innovating to the future. Lets look at each company. Apple - bets are on…
Microsoft - No new bets. Really? Their OpenAI deal and integrating that tech into core products?
Amazon - No new bets? It's still trying drone delivery, and it's also got project Kuiper - moving beyond data centres to providing the network
I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.
I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.
Why simulate? We can already do it experimentally
I wish there's some breakthrough in cell simulation that would allow us to create simulations that are similarly useful to molecular dynamics but feasible on modern supercomputers. Not being able to see what's happening inside cells seems like the main blocker to biological research.