Climate and clean energy investor. Author of 5 books. Energy & Environment co-chair @SingularityU. Trying to build a better world.

Joined May 2007
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Pinned Tweet
14 Nov 2024
Despite this election, I remain an optimist about America and the world. Humanity will continue to produce new ideas and new innovations to improve our lives. Good people will continue to come together to improve the world. And the political tide will turn. We'll make it so.
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Ramez Naam retweeted
Very much agree. Rob Reid @Rob_Reid has made a detailed exposition of costs and approach for how to harden ourselves to get ready for bioweapons made using AI.
The only true AI safety will come from securing the ecosystem. Use AI to harden digital security and speed detection and response. Use AI and biotech to improve pandemic monitoring, pre-design vaccines for all virus families, and prep vaccine manufacturing capacity. Limits in the models are inherently fragile and temporary. Open weight models may always be just months behind the frontier, and they can be jailbroken quite comprehensively. Bad actors will always have access to powerful AI. The thing that stops a bad guy with AI is good guys intelligently using AI and other tools. I support reasonable staged rollout as Anthropic did with Mythos / Glasswing to give responsible actors more time to use the latest models to find vulnerabilities and fix them. At the same time, that will always be a temporary state of things at best. Long term (months, most likely), all of the current frontier capabilities will be available to anyone who really wants them. Plan and build for that world.
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Ramez Naam retweeted
if the admin wants people to believe the anthropic decision was made out of genuine security necessity rather than grievance-driven retaliation, high ranking officials could simply stop posting like this
Three months ago, @DeptofWar kicked @AnthropicAI out of our building—forever. Every passing day proves why that was the right move. 🇺🇸
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Ramez Naam retweeted
Jun 12
All of these were reported over the past month: • A new pancreatic cancer drug, daraxonrasib, that roughly doubles survival in late-stage disease • A precision lung cancer drug, lorlatinib, that kept 55 percent of patients progression-free after 7 years, versus 3 percent on the old drug • A prostate cancer drug, talazoparib, that halves the risk of progression • An endometrial cancer drug, dostarlimab, where 58 percent of patients hadn't progressed after 4 years, versus 16 percent on chemo alone • An early-detection blood test, the NHS Galleri test, that quadrupled cancer detection but missed its main goal • An mRNA cancer vaccine that halved the risk of melanoma recurrence when added to Keytruda • The most effective weight loss drug so far, retatrutide, which cut body weight by about 28 percent • The first in vivo gene editing therapy, which cut hereditary angioedema attacks by 87 percent from a single injection • A one-time gene edit, VERVE-102, that lowered LDL cholesterol by 62 percent • A feat of pharmaceutical synthesis that raised enlicitide's manufacturing yield 14-fold using engineered enzymes • A functional cure for hepatitis B, bepirovirsen, that cleared the virus in about 20 percent of patients • The discovery that human cells can swap chromosome-sized DNA through nanotubes • An ancestor of CRISPR, VIPR, found in bacteriophages, that silences genes without cutting DNA • A preventive Covid-19 pill, ensitrelvir, that cut symptom risk by 67 percent after exposure • The first PROTAC drug, vepdegestrant, which destroys a disease-causing protein rather than blocking it Every month, Niko and I write a round up digging into the latest news in biotech and medicine, and this month's was astonishing. We share some thoughts on what's responsible for this progress and what it means for science in the future.
Jun 12
New post! @NikoMcCarty and I have been writing regular round ups for a little while now, but so much has happened recently that this month’s What's New in Biology post feels like it contains a year’s worth of breakthroughs. worksinprogress.news/p/whats… The most effective weight-loss drug so far, cancer breakthroughs, gene editing for cholesterol, ancestral CRISPR systems, a cure for some with hepatitis B, the first PROTAC drug, and more. Read it here!
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The only true AI safety will come from securing the ecosystem. Use AI to harden digital security and speed detection and response. Use AI and biotech to improve pandemic monitoring, pre-design vaccines for all virus families, and prep vaccine manufacturing capacity. Limits in the models are inherently fragile and temporary. Open weight models may always be just months behind the frontier, and they can be jailbroken quite comprehensively. Bad actors will always have access to powerful AI. The thing that stops a bad guy with AI is good guys intelligently using AI and other tools. I support reasonable staged rollout as Anthropic did with Mythos / Glasswing to give responsible actors more time to use the latest models to find vulnerabilities and fix them. At the same time, that will always be a temporary state of things at best. Long term (months, most likely), all of the current frontier capabilities will be available to anyone who really wants them. Plan and build for that world.
Lots of people have known for a while that guardrails for frontier model APIs are very easily jailbroken, quite shallow and impossible to fix. They’re mostly a smokescreen and distraction, in my opinion. We need a different paradigm for AI safety!
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The only true AI safety will come from securing the ecosystem. Use AI to harden digital security and speed detection and response. Use AI and biotech to improve pandemic monitoring, pre-design vaccines for all virus families, and prep vaccine manufacturing capacity. Limits in the models are inherently fragile and temporary. Open weight models may always be just months behind the frontier, and they can be jailbroken quite comprehensively. Bad actors will always have access to powerful AI. The thing that stops a bad guy with AI is good guys intelligently using AI and other tools. I support reasonable staged rollout as Anthropic did with Mythos / Glasswing to give responsible actors more time to use the latest models to find vulnerabilities and fix them. At the same time, that will always be a temporary state of things at best. Long term (months, most likely), all of the current frontier capabilities will be available to anyone who really wants them. Plan and build for that world.
Lots of people have known for a while that guardrails for frontier model APIs are very easily jailbroken, quite shallow and impossible to fix. They’re mostly a smokescreen and distraction, in my opinion. We need a different paradigm for AI safety!
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AI being winner-takes-all is the scenario most likely to create an unfree society and thus most likely to incite a Butlerian Jihad. Fortunately, AI tech and economics don't show strong network effects or any sign of natural monopolies. Barring that changing, the surest path to a monopolized AI world is to give governments too much power over AI.
Replying to @ramez
The other question people who believe in the permanent underclass should ask is: if it is truly winner-take-all, then what? How would society react to that outcome?
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Good correction.
Replying to @ramez
More precisely, it says that architectures that scale better with data and compute outperform others. Your interpretation is stretching it imho.
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Yes. The notion of a race to ASI or a Singularity that disempowers the bulk of humanity creates frantic, antisocial incentives. If you believe that the next few years (or months) determine your fate and the fate of humanity, and that it's a winner-takes-all game, then you should do everything to get there first. If you believe that AI is more like other technologies, that diffusion will take time, that ASI is actually quite hard to achieve, and that the likely AI future is one of many AI companies, then that frenetic urge to be 'first to superintelligence' recedes. I think the latter is both the more likely outcome and that looking at it that way produces a healthier and more pro-social AI industry.
I think narratives like the "permanent underclass" mindset can be very harmful. Not because they cause emotional depression, but they change the game-theoretic dynamics. People cooperate in prisoner's dilemma/commons scenarios when they believe the game has many turns. But if you believe the game only has a few turns, and that you should win otherwise you become the "permanent underclass", then the rational self-interested move is to defect: do whatever you can to win in the short term. I think the whole AI research community is in that scenario now. No one stays in academia to educate new talent. Frontier lab competition becomes more and more aggressive and toxic. I can't imagine how much public benefit those doomer narratives alone will cost us. Especially if they're wrong, which I think they are
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Fantastic findings and thread. A single biological neuron performs an enormous amount of computation, orders of magnitude more than that performed by an artificial neuron in a neural net. Parameter count in an LLM is not the same as number of synapse in a brain, as each of the latter packs in so much more computation.
What can a neuron compute? Real biological neurons are complex, but how capable are they? Using a new method, we found that a single cortical neuron can classify cats vs dogs, recognize spoken words, and solve 10-bit parity, all tasks thought to require entire networks. (1/15)
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Ramez Naam retweeted
The fundamental paradox with AI safety: intelligent *humans* with tools made the nuclear bomb, and the cure for polio, and the mindless YouTube videos. We have not solved the *human* alignment problem. (But we are still better off on net with this bundle, to be clear!) 1/2
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Excellent piece looking at both economics and risk / uncertainty reduction in cooling the planet through aerosols that reflect sunlight.
In 1991, a volcano cooled the whole planet by ~0.5°C — by accident. We could do it on purpose for ~$45B: sulfur dioxide lofted by one-way balloons, watched by a swarm of 160 satellites. I'm an aerospace engineer, and here's the first-principles case t🧵
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I'm not all that surprised by this. Sutton's bitter lesson tells us that generalist models trained on far more data outperform narrower models with less data.
For medical information, general AI frontier models (Google, OpenAI, Anthropic) outperformed specialized @EvidenceOpen and @UpToDate as assessed by 12 US clinicians, randomized and blinded to which model and extensive testing/benchmarks. This was not anticipated. @NatureMedicine nature.com/articles/s41591-0…
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Ramez Naam retweeted
Something else to consider about degrowth—there is probably no non-authoritarian way to implement it. I just don’t see billions of people voluntarily making themselves materially worse off.
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Ramez Naam retweeted
Our 2026 Indicators of Global Climate Change paper is out! We find that the human-induced warming was 1.37C in 2025, and the current rate of warming is 0.27C per decade, on track to firmly pass 1.5C in about four years.
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Ramez Naam retweeted
La Antártida con una temperatura máxima por encima de los 15 °C, récord absoluto ( 2 °C respecto al anterior registro máximo). Los científicos: "Esto es una locura. Son unos 20 °C por encima de lo normal para esta época del año. Es una anomalía enorme". theguardian.com/environment/…
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Ramez Naam retweeted
AI doubters fail to recognize how fast real AI progress is; believers under-appreciate how high a bar world-transformation is. Anthropic ARR is both astonishingly large ($47B, up from just $1B at the beginning of last year!!!!!) and very small (0.037% of the global economy). (I'm aware that Anthropic has been growing at ≥10x / year, and that pace would lead to 100% of global GDP by the end of 2029. They won't sustain that pace. But neither is the $47B smoke and mirrors.)
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Ramez Naam retweeted
In 2027, big tech companies expect to spend nearly $1 trillion on AI data centers around the world. Where they choose to build those data centers could help determine the global balance of power. To learn more, @alasdairpr, @TawilTeddy, and I created a detailed financial model showing what drives these $10 billion decisions, and wrote about our findings in a new Carnegie report.
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Earth is, by orders of magnitude, the most valuable real estate in the solar system. I love space science, space exploration, and space tech. But there is no substitute for Earth this century, and likely not for centuries beyond that.
Jun 11
"Whoever nails economic activity in low Earth orbit by default basically wins the rest of the solar system and likely the rest of the galaxy," @zebulgar said. "I think it’s incredibly important that a Western democratic free nation does that first."
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Economic growth reduces poverty. Degrowth would increase it. People won't support solutions to either climate change or inequality if those solutions make them poorer.
A way to see the amazing history of economic growth and declining poverty over the last two centuries.
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We are a long, long way from superintelligence.
Claude Fable 5 is still on the floor on Agents’ Last Exam (ALE) Our hardest tier remains unsolved. Claude Fable 5 scores 0%, same as GPT-5.5
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