Alex Pritzel

Amazing work by my friends at latent labs!

5 months from Latent-X1 to Latent-X2. AI-generated antibodies with drug-like developability and low immunogenicity in human panels — zero-shot. Available now for selected partners.

Nice! AlphaFold3 server added interactive pAE and chain division! Including option to download MSA. (Just noticed this when doing a tutorial today!)

I still fondly remember tracking down tensorflow bugs with Simon while we were building AlphaFold2, very exciting to see how far things have progressed. Keen to see the amazing work @Latent_Labs will do!

Honoured and proud to be at the @NobelPrize ceremony today with some of the key members of the AlphaFold team where our @GoogleDeepMind colleagues @demishassabis and John Jumper will be co-awarded the Nobel Prize in Chemistry.

@jonkhler @NandoDF Germany just does it via long notice periods, I know plenty of people working in Germany with 6 month notice periods and I think it can legally be longer. Ultimately the same thing; people don't get to move on to a new place for many months, just different name and terms.

@NandoDF In Germany such non-competes are severely limited and usually barely enforceable. Mostly a UK problem.

I used a metaphor that upset some people. I welcomed the feedback, and I have deleted the tweet. I also apologise to anyone I might have offended. The rest of the tweet is about something very important that we scientists and engineers in AI need to talk about. California corporations are forcing existing employees in the UK and Europe to sign 6 month to 1 year non-competes. These contracts are not signed at the start, but after many years when the companies have disproportionate power over the employees. Imagine receiving a promotion because of merit and hard work, being happy about it because you’re starting a new family, but being told that you won’t get it unless you sign a 1 year non-compete. It is not easy to leave the job then. It’s hopeless for the scientist, engineer or any other worker. So you sign. You then cannot leave because you won’t be able to do AI research for a long time, and some of your promised money isn’t paid. It is emotionally abusive and terrible for scientific progress and technological development. The AI companies that enforce this in London and European capitals don’t do it in California. This puts Europe at a huge disadvantage too. It’s non-competitive. These are the companies claiming they are building the good AIs. Good? No, they are building AIs to exploit the laws of countries, created for other purposes, to exploit people. @GoogleDeepMind is particularly bad at this. They have been forcing researchers going up for promotion based on merit to sign 6 month non-competes, 1 year non solicits, and 6 month notice periods (garden leaves). This has made it clear that they don’t trust their own employees and will do whatever it takes to stifle their competition. Researchers leaving have been forced to comply. The ironic thing is that they can’t enforce this in their California home. The executives don’t believe in it. They are exploiting our laws to their benefit. Colleagues and friends (@icmlconf @NeurIPSConf @theinformation). Do NOT sign these contracts. They can’t make you do it. Without us engineers and AI people, their stock is worthless. Don’t let them abuse you. This applies to people joining my team, do not sign these restrictions on your freedom to do research and work. @GoogleDeepMind has wonderful people and very dear friends of mine who I look up to, but this practice of @Google should be illegal. It should be illegal for other corporations too because it stifles research in AI and progress. It is also pathetic. @GoogleDeepMind can do much better: Do the right thing and make us proud please. The European Union @vestager should do something about this. It should be illegal and companies should be punished if they choose to stifle competition in Europe.

Demis Hassabis and John Jumper, the 2024 Nobel Prize laureates in chemistry, have developed an AI model to solve a 50-year-old problem: predicting proteins’ complex structures. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have been able to predict the structure of virtually all the 200 million proteins that researchers have identified. Since their breakthrough, AlphaFold2 has been used by more than two million people from 190 countries. Among a myriad of scientific applications, researchers can now better understand antibiotic resistance and create images of enzymes that can decompose plastic. The illustration below explains how it works. Read more about their story: bit.ly/4diKiJ2

So @JeremyFarrar asked for an "explainer thread" on Noble Prizes in Chemistry around AlphaFold and Protein design, so here goes.

@snikolov What can I say? I'm an expert at coming up with excuses for having champagne :)

I was just watching the video again and I think Alex P was like, we can just do this every year! And get champagne in advance in any case 😄

Watch the moment that our President Professor Sir Jim McDonald revealed our 2024 #MacRobertAward winner @GoogleDeepMind at last night's #RAEngAwards Dinner. Find out more about their award-winning GraphCast innovation: raeng.org.uk/news/ai-weathe…

We’re thrilled to have won the prestigious #MacRobertAward for GraphCast - our AI model delivering 10-day weather forecasts with unprecedented accuracy in under one minute via deep learning and vast data sets. Read more about the award here → raeng.org.uk/news/ai-weathe…

Congratulations to our MacRobert winners @GoogleDeepMind for their GraphCast work on AI for weather prediction. Find out more about their award winning innovation: macrobertaward.raeng.org.uk. #RAEngResearch

Huge congrats to Pete Battaglia & our #GraphCast team who won the #MacRobertAward, the UK’s top award for engineering innovation! GraphCast provides super fast and highly accurate weather predictions up to 10 days in advance, including early warnings for extreme weather events.

Extremely proud of my partner in crime @FortunatoMeire and all of #GraphCast team for this award! The thing is heavy 🪙🪙🪙

“GraphCast is a great example of how engineering innovation can be an important driving force behind economic growth and a sustainable future.” – find out why our judges have awarded @GoogleDeepMind the 2024 #MacRobertAward: raeng.org.uk/news/ai-weathe…

We did it! 📷 Beyond proud to win the #MacRobertAward, the UK's top engineering prize, for #GraphCast! Huge shout-out to my incredible team and friends, you make the hard work a joy. Thanks @RAEngNews for the recognition.

We've won the MacRobert Award for our work on using AI for weather prediction! Extremely proud to have been part of the GraphCast team, this is one of the best examples of how ML applied to science can make a difference to people's lives! Excited to see what more is to come!

I am so excited to see this out!! It was an amazing experience working with the team on new directions in the midst of the #AF2 release, and very thankful to be able to contribute. Fun fact, I called my model denoisaur 🦖🦕😂 PS Part of my decision to join @PrincetonCS was the

Introducing Gemini 1.5 Flash ⚡ It’s a lighter-weight model, optimized for tasks where low latency and cost matter most. Starting today, developers can use it with up to 1 million tokens in Google AI Studio and Vertex AI. #GoogleIO

We love the excitement & results from the community on AlphaFold 3 and are doubling the AF Server daily job limit to 20. Happy to also share that we're working on releasing the AF3 model (incl weights) for academic use, which doesn’t depend on our research infra, within 6 months.