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7/7/2025, 10:49:59 AM
https://fortune.com/2025/07/06/deepmind-isomorphic-labs-cure-all-diseases-ai-now-first-human-trials/
Google DeepMind's chief executions officer says Alphabet's drug-discovery company Isomorphic Labs "is preparing to launch human trials of AI-designed drugs," according to a report in Fortune.
After years in development, Murdoch says human clinical trials for Isomorphic's AI-assisted drugs are finally in sight. "The next big milestone is actually going out to clinical trials, starting to put these things into human beings," he said. "We're staffing up now. We're getting very close."
The company, which was spun out of DeepMind in 2021, was born from one of DeepMind's most celebrated breakthroughs, AlphaFold. Interactions of AlphaFold progressed from being able to accurately predict individual protein structures to modeling how proteins interact with other molecules like DNA and drugs.
These leaps made it far more useful for drug discovery, helping researchers design medicines faster and more precisely, turning the tool into a launchpad for a much larger ambition... In 2024, the same year it released AlphaFold 3, Isomorphic signed major research collaborations with pharma companies Novartis and Eli Lilly.
>A year later, in April 2025, Isomorphic Labs raised $600 million
in its first-ever external funding round, led by Thrive Capital. The deals are part of Isomorphic's plan to build a "world-class drug design engine..."
Today, pharma companies often spend millions attempting to bring a single drug to market, sometimes with just a 10% chance of success once trials begin. Murdoch believes Isomorphic's tech could radically improve those odds. "We're trying to do all these things: speed them up, reduce the cost, but also really improve the chance that we can be successful," he says. He wants to harness AlphaFold's technology to get to a point where researchers have 100% conviction that the drugs they are developing are going to work in human trials.
Google DeepMind's chief executions officer says Alphabet's drug-discovery company Isomorphic Labs "is preparing to launch human trials of AI-designed drugs," according to a report in Fortune.
After years in development, Murdoch says human clinical trials for Isomorphic's AI-assisted drugs are finally in sight. "The next big milestone is actually going out to clinical trials, starting to put these things into human beings," he said. "We're staffing up now. We're getting very close."
The company, which was spun out of DeepMind in 2021, was born from one of DeepMind's most celebrated breakthroughs, AlphaFold. Interactions of AlphaFold progressed from being able to accurately predict individual protein structures to modeling how proteins interact with other molecules like DNA and drugs.
These leaps made it far more useful for drug discovery, helping researchers design medicines faster and more precisely, turning the tool into a launchpad for a much larger ambition... In 2024, the same year it released AlphaFold 3, Isomorphic signed major research collaborations with pharma companies Novartis and Eli Lilly.
>A year later, in April 2025, Isomorphic Labs raised $600 million
in its first-ever external funding round, led by Thrive Capital. The deals are part of Isomorphic's plan to build a "world-class drug design engine..."
Today, pharma companies often spend millions attempting to bring a single drug to market, sometimes with just a 10% chance of success once trials begin. Murdoch believes Isomorphic's tech could radically improve those odds. "We're trying to do all these things: speed them up, reduce the cost, but also really improve the chance that we can be successful," he says. He wants to harness AlphaFold's technology to get to a point where researchers have 100% conviction that the drugs they are developing are going to work in human trials.
6/19/2025, 9:11:21 PM
man argues it doesnt matter there is no AGI because LLM networks are here right now and they make profit on stocks
https://simonwillison.net/2025/Jun/15/viral-apple-reasoning-paper/
https://garymarcus.substack.com/p/seven-replies-to-the-viral-apple
I thought this paper got way more attention than it warranted -- the title "The Illusion of Thinking" captured the attention of the "LLMs are over-hyped junk" crowd. I saw enough well-reasoned rebuttals that I didn't feel it worth digging into.
And now, notable LLM skeptic Gary Marcus has saved me some time by aggregating the best of those rebuttals together in one place!
And therein lies my disagreement.
>I'm not interested in whether or not LLMs are the "road to AGI".
I continue to care only about whether they have useful applications today, once you've understood their limitations.
Reasoning LLMs are a relatively new and interesting twist on the genre. They are demonstrably able to solve a whole bunch of problems that previous LLMs were unable to handle, hence why we've seen a rush of new models from OpenAI and Anthropic and Gemini and DeepSeek and Qwen and Mistral.
They get even more interesting when you combine them with tools.
They're already useful to me today, whether or not they can reliably solve the Tower of Hanoi or River Crossing puzzles.
https://simonwillison.net/2025/Jun/15/viral-apple-reasoning-paper/
https://garymarcus.substack.com/p/seven-replies-to-the-viral-apple
I thought this paper got way more attention than it warranted -- the title "The Illusion of Thinking" captured the attention of the "LLMs are over-hyped junk" crowd. I saw enough well-reasoned rebuttals that I didn't feel it worth digging into.
And now, notable LLM skeptic Gary Marcus has saved me some time by aggregating the best of those rebuttals together in one place!
And therein lies my disagreement.
>I'm not interested in whether or not LLMs are the "road to AGI".
I continue to care only about whether they have useful applications today, once you've understood their limitations.
Reasoning LLMs are a relatively new and interesting twist on the genre. They are demonstrably able to solve a whole bunch of problems that previous LLMs were unable to handle, hence why we've seen a rush of new models from OpenAI and Anthropic and Gemini and DeepSeek and Qwen and Mistral.
They get even more interesting when you combine them with tools.
They're already useful to me today, whether or not they can reliably solve the Tower of Hanoi or River Crossing puzzles.
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