Hannah Fry

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Hannah Fry

Hannah Fry

@FryRsquared

All math and no trousers.

CASA, UCL, London เข้าร่วม Mart 2011
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Demis Hassabis
Demis Hassabis@demishassabis·
Always enjoy discussing the big picture with @FryRsquared. We talked about the frontiers of computability, the nature of the mind, and why I’m optimistic that AI will help us understand the universe’s deepest mysteries. + this wraps up another season of the award-winning @GoogleDeepMind Podcast - huge congrats to the team!
Google DeepMind@GoogleDeepMind

We’re using AI to work on root node problems – fundamental scientific challenges that unlock societal benefits. 🧪 From fusion and superconductors to entirely new materials, our CEO @DemisHassabis discusses what comes next after #AlphaFold – all on our podcast with @fryrsquared. ↓ Timecodes: 01:42 2025 progress 05:14 Jagged intelligence 07:32 Mathematical version of AlphaGo? 09:30 Science vs commercialization 12:42 Scaling 17:43 Genie and simulation 25:47 Evolution in simulation 28:26 AI bubble 31:56 Building ethical AI 34:31 AGI 44:44 Turing machines 49:06 How it feels to lead

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Jeff Dean
Jeff Dean@JeffDean·
Show happens to the egg if you add a lot of salt for the water
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Jeff Dean
Jeff Dean@JeffDean·
Today we're launching a major upgrade to the image generation capabilities of our Gemini 3 model. Gemini 3 Pro Image can generate an incredible array of realistic imagery, complex visuals, infographics and more. Here are some examples: Show me a chart of the solar system and annotate each planet with one interesting fact
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Google DeepMind@GoogleDeepMind

We just dropped Nano Banana Pro, built on Gemini 3. 🍌 With state-of-the-art text rendering, vast world knowledge and studio-quality creative controls, Gemini 3 Pro Image can create and edit more complex visuals, infographics and more. Here’s what’s under the hood. 🧵

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Hannah Fry
Hannah Fry@FryRsquared·
@clinjar I dont think that graph says there's a 6% improvement. Its 6% of a standard deviation. Which is quite different..
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Clint Jarvis
Clint Jarvis@clinjar·
Participants didn’t just feel better. They were measurably happier, less anxious, and less depressed. • Facebook users saw a 6% improvement in emotional well-being • Instagram users saw a 4% improvement And not only that...
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Clint Jarvis
Clint Jarvis@clinjar·
Stanford paid 35,000 people to quit social media. This was the largest study on emotional health in history. The results were so shocking, scientists called it "comparable to therapy." Here's what happens when you break free from the algorithm: 🧵
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Hannah Fry
Hannah Fry@FryRsquared·
@Lucy_Worsley If its any consolation I've spent many a dinner hearing at length about your endless list of enviable talents x
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Lucy Worsley
Lucy Worsley@Lucy_Worsley·
This is me, wishing family members would not spend the whole of dinnertime telling me how clever funny and interesting they think @FryRsquared is. *gashes teeth in jealous rage*
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Mohamed A. El-Erian
Mohamed A. El-Erian@elerianm·
Good morning. Today is the second and final day of in-person voting at the Senate House. If you work in Cambridge or can travel there, it is your chance to make history by helping to choose our next Chancellor in the most democratic process to date. It is quick and easy to do, with a bit of dress-up involved (the University will provide a gown). Below are some of the individuals who have kindly and thoughtfully offered their public support for my campaign, endorsing the importance of enhancing academic excellence, protecting and promoting academic freedom and free speech, and improving funding for our Collegiate University. My deep thanks to them. Your voice matters and, whoever you vote for, it is important that you have your say over Cambridge’s future. Thank you. @Cambridge_Uni #cambridgechancellor #cambridgechancellor2025 #cambridge @QueensCam @RoryStewartUK @GordonBrown @FryRsquared @maitlis @ariannahuff @gilliantett @NBerggruen @LynnForester11 @Dambisamoyo @bryworthington @satyanadella @AndrewmitchMP @SimoneSchnall @DianeCoyle1859 @demishassabis @reidhoffman @bryworthington @CassSunstein
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Demis Hassabis
Demis Hassabis@demishassabis·
Honoured to be on the #TIME100 list and cover - and congratulations to all the other people featured. Thank you to the brilliant Jennifer Doudna for the lovely writeup.
TIME@TIME

Google DeepMind CEO Demis Hassabis hopes that competing nations and companies can find ways to set aside their differences and cooperate on AI safety: "It's in everyone's self-interest to make sure that goes well." Read his TIME100 interview: ti.me/4jbCz34

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Google DeepMind
Google DeepMind@GoogleDeepMind·
Human generated data has fueled incredible AI progress, but what comes next? 📈 On the latest episode of our podcast, @FryRsquared and David Silver, VP of Reinforcement Learning, talk about how we could move from the era of relying on human data to one where AI could learn for itself. Watch now → 00:00 Introduction 01:50 Era of experience 03:45 AlphaZero 10:19 Move 37 15:20 Reinforcement learning and human feedback 24:30 AlphaProof 29:50 Math Olympiads 35:00 Experience based methods 42:56 Hannah's reflections 44:00 Fan Hui joins
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Hannah Fry
Hannah Fry@FryRsquared·
@Al_Humphreys YES! Although I think they had to programme it to be LESS random because loads of people were complaining that it didn't 'feel' random enough
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Hannah Fry
Hannah Fry@FryRsquared·
Obviously - since this is a Google Deepmind podcast - @nicklaslundblad is presenting one particular view. But I hope you'll see that I've tried to make this conversation as robust, fair and interesting a listen as possible. Would love to hear what you think
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Demis Hassabis
Demis Hassabis@demishassabis·
Winning the @NobelPrize is the honour of a lifetime and the realisation of a lifelong dream - it still hasn’t really sunk in yet. With AlphaFold2 we cracked the 50-year grand challenge of protein structure prediction: predicting the 3D structure of a protein purely from its amino acid sequence. Proteins are the building blocks of life, and knowing the structure of a protein is crucial for understanding the function it performs. We then folded all 200 million proteins known to science and made those structures freely available for anyone in the world to use, with the help of our wonderful collaborators at @emblebi. Over 2 million researchers have already used AlphaFold2 and its predictions to advance a huge range of important work - everything from enzyme design, to disease understanding, to drug discovery. But this is only the beginning. Over the next few years AI will help us make great strides towards developing new and more effective therapies for today's most prevalent diseases, and the fantastic team at @IsomorphicLabs are making rapid progress on this mission. I can’t think of a more important or beneficial use of AI. Then of course there is advancing AGI itself, the original and enduring goal, and the vision behind the founding of DeepMind nearly 15 years ago. If AI is built safely and responsibly, I believe it will be one of the most transformative and beneficial technologies ever. I’ve always thought of AI as the ultimate tool to help us accelerate scientific discovery. Congratulations to John Jumper (and David Baker!), the amazing AlphaFold team, and all our incredible colleagues at @GoogleDeepMind and @Google that supported and encouraged us along the way - this award is for all of us! It’s been such an honour and privilege to work with all of you to advance the frontiers of AI and science, and there is so much more to come!
The Nobel Prize@NobelPrize

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

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