
Climate and clean energy investor. Author of 5 books. Energy & Environment co-chair @SingularityU. Trying to build a better world.
Seattle
Joined May 2007
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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.
Ramez Naam retweeted
🚨 🚨 DEEPSEEK ABLITERATED REFUSES NOTHING & IS JUST AS INTELLIGENT AS THE REGULAR MODEL!!
that should scare the hell out of you. there's 0 tradeoff to deleting the weights that cause the model to refuse instructions. they have nothing to do with what makes it intelligent.
if you have a digital product that contains any amount of sensitive user data then you should be running an abliterated model against yourself 24/7 to check for vulnerabilities.
it's now live on @morphllm with serverless token pricing. i think we're the first provider in the world to do anything like this.
you need to kyc & explain your intentions to use it. link here:
morphllm.com/privileged-acce…
Ramez Naam retweeted
In just four years, annual battery storage additions grew tenfold as costs declined, driving rapid deployment.
The same increase in solar capacity took nine years, and wind 15 years.
ember-energy.org/latest-insi…
Ramez Naam retweeted
BIG jump in China's exports of solar in September, far above any earlier month, except the export-tax-driven wave in March.
Solar kit with annual power output equal to 10 large nuclear reactors exported in just one month.
Media reporting wildly off as they used wrong metrics!
Ramez Naam retweeted
I’m optimistic that the vulns will be patched and we’ll have a safer internet soon. In the meantime the “discount rate” on any exploits bad actors have found and were “saving” has gone up, shifting forward the incentive to use them. Defense will win but it’s gonna be rough sledding for a little.
Ramez Naam retweeted
EVs are not a "rich" country phenomenon at all anymore
Roughly 30% of new car sales in Indonesia are already fully battery electric.
Oil importing countries across the globe are making the sensible choice of moving away from oil dependency in the transport sector.
Ramez Naam retweeted
For our immune systems, the biological version of this (against natural pathogens) is called a Tuesday.
Ramez Naam retweeted
These are scary times for the internet. I believe this is a beacon of hope.
I’m proud to have cowritten this with @AnthropicAI. We proved the absence of common bugs in production software, and I think this approach will scale.
One day, @theoremlabs will formally verify all critical software.
More in the thread, and the paper.
New on our Frontier Red Team blog: using Claude to formally verify software at large scale.
Formal verification can prove that code is free of certain bugs, but historically it has only been feasible for small codebases (or required a lot of expert time).
With AI models, however, this is beginning to change. In collaboration with @theoremlabs, we used Claude to prove security properties in over one hundred real-world open-source libraries over the span of a few weeks.
Read our research in full here: anthropic.com/research/forma…
Ramez Naam retweeted
Well, we just rotated every single key across a large number of projects very quickly, and I'm struck by the fact that this would have been an absolute nightmare not too long ago
The defensive aspect of AI for cybersecurity is really underrated
Where the nuclear weapon analogy breaks down with AI is that you can't stop a nuclear weapon with another nuclear weapon
But you can stop an AI attack with an AI
Ramez Naam retweeted
The models were always going to be open. They’re now open. So the question is: in the six months of non-openness, did Glasswing and Daybreak access fix enough bugs? I don’t think there’s one answer to that question, but I also don’t think the answer is obviously “yes”.
btw, i think dario was right about the cyber risks of proliferating these models freely on the internet, but wrong about how access should be distributed.
looking back at this tweet, glasswing was directionally the right approach, except it remained a walled garden for a select few. openai got this part right by giving broader access to legitimate security researchers.
Ramez Naam retweeted
Fun week! 🐶☕️🔥
Our team at @Cognition has been securing our customers against the latest PHP and Node vulns. To make this easier for everyone, we’ve open-sourced an agent plugin to make this easier for everybody.
devin.ai/blog/vulnerability-…
github.com/CognitionAI/devin…
Ramez Naam retweeted
What is happening is that all of the bugs that have been latent in our wildly insecure software systems are finally being found and patched. This is a good thing. The bad thing is that the bugs existed, and for decades people said unit testing was enough
Ramez Naam retweeted
Frontier labs are advancing the capabilities in AI for biology but preventing the good guys (scientists, academia, non-profits, health agencies,...) to use, study and understand it with widespread but shallow guardrails that the bad guys are bypassing easily (blocked me to proofread this tweet for example 😅).
This will automatically create massive assymetry and risks in the coming years, just like in cybersecurity, especially now that frontier labs are building wet labs (HF cybersecurity scenario for biology when?).
This is why we created Carbon-X, the best open-source DNA model by midtraining Qwen3-14B on 300B tokens of DNA, English and interleaved data. We also used a hybrid tokenizer that tokenizes English with BPE and DNA with a 6-mer tokenizer.
As a result, Carbon-X outperforms all open language models we evaluated on five benchmarks of DNA understanding and generation. This is a 27-point improvement over Qwen3-14B, showing how much a language model can gain from DNA training. It is also API frontier level at 1,800x less cost than GPT 6.1 Sol!
We hope Carbon-X helps researchers explore DNA in new ways. Releasing it openly means anyone can study its capabilities, limitations, and risks. Let's make the AI biology frontier open-source to make it safe and impactful for the whole world (not just a few companies).
Apache 2.0 Model on @huggingface: huggingface.co/HuggingFaceBi…
I've got a new mission. Joining forces with @kevinweil, @manohar_paluri & Sol Reisberg. Our mission is to help the world discover new medicines faster—and build the capacity to do it here in America.
This one is super personal to me. I've sat with patients and families confronting diseases. I've met people with rare diseases who have spent years searching for treatments. I've spent time with cancer patients who have exhausted every available option.
Those conversations change how you think about science, technology, and time.
When you're sitting across from someone who is waiting for a medicine that doesn't exist yet, the pace of scientific progress stops being an abstract question.
It becomes deeply personal. This needed to change for a long time. We're here to help. 🇺🇸
💥 Introducing Warp Sciences, a new company applying AI and robotics to help the world develop new medicines faster.
We’ve raised a $215M Series A led by @lightspeedvp to bring frontier AI out of the browser and into the lab, and build scientific capacity here in America.
I co-founded Warp with my long-time friend @dpatil, FAIR co-founder @manohar_paluri, and drug hunter Sol Reisberg. The early team is full of incredible people like @bkspears9, who helped achieve Q>1 fusion at LLNL.
Ramez Naam retweeted
I wrote an update on what we've done at Terraform this year, and what's next (roadmap.terraformindustries.…) terraformindustries.wordpres…
It's a good day to make synthetic fuels.
Ramez Naam retweeted
I’m optimistic about US companies using a combination of frontier closed and open models to keep defense (mostly) ahead of offense in cyber. It won’t happen overnight, but firms will figure it out.
But we live in a world where nearly everything financial or commercial is tied to the internet. I’m less optimistic about businesses in the developing world LMICs being able to keep up. Financial institutions and businesses in Latin America, in Africa may not be able to afford frontier models for defense or have the workforce to implement them. A robust open ecosystem and training will be necessary to protect the rest of the world from increasing cyber capabilities.
Whats happening right now is probably way worse than the Hugging Face incident.
AI-powered attacks are hitting real organizations while major platforms disclose breaches and critical flaws.
- Microsoft reports AI agents targeting hundreds of organizations, reaching privileged cloud access in under three hours in multiple cases. It attributes the ConnectWise compromise to the same group.
- CrowdStrike documented four operators running successful AI-agent campaigns. One compromised at least 15 Argentine healthcare organizations.
- PHP2Shell: AI helped turn longstanding PHP flaws into working exploits. Cloudflare’s CEO reports millions of exploitation attempts. Their AI involvement is unknown.
- Railway disclosed possible access to customer secrets. LiteLLM shipped a backdoored release. Zeabur confirmed another breach and is shutting down.
- GitLab patched a maximum-severity flaw affecting 12 years of releases. Node.js patched a serious code-execution vulnerability, with Vercel deploying firewall protections.
Feels like a turningpoint.
Ramez Naam retweeted
Nonstop blatant lawbreaking
SCOOP: The State Dept has started asking career diplomats up for promotion if they voted for Trump in 16, 20, 24.
Federal law prohibits politically based hiring for career staff.
State tells @washingtonsun it's screening for "fidelity" and execution of the president's vision👇
Ramez Naam retweeted
Good reminder that Cloudflare is a cool mission driven company and actually we need our infrastructure providers to be competent and forward looking
(Not a shareholder)
PHP changes are live. Start patching. php.net/archive/2026.php#202…
Huge thanks to coordinated work by @ThePHPF!
Ramez Naam retweeted
“The AI industry [and USG!] should recognize that heavily gated trusted access programs have failed as a strategy; php2shell was identified by defenders first [using GPT-5.6 Sol!], and we need more defenders identifying more bugs faster.”
Thoughts on php2shell and the overall looming crisis in cybersecurity
If you'd been appropriately pricing in that we'd see this and many more celebrity zero-days at an increasing rate, this is a positive update; defenders found this issue, alongside tens of thousands of others in the last year, before widespread exploitation, and it's being patched.
Real attackers will exploit this, but we shouldn't expect a recognizable blip in overall cyber damages in the next couple quarters, because easier initial access to victim networks wasn't a core bottleneck for attackers, and because defenders are better positioned to adopt AI automation than attackers, and are doing so faster; this advantage will persist through at least H1 2027, and possibly longer, IMO.
Why I think this: consider that, in general and on average, defenders have access to default-world capital networks and AI talent, often as a function of how central they are to Internet and societal infrastructure. They have consistent, reliable access to AI inference from open- and closed-weight providers.
Criminal attackers, on the other hand, face the threat of arrest, difficulty accessing AI talent, and unreliable access to AI inference. They're competing for and attempting to retain talent willing to risk arrest and sanctions, and willing to live a life of crime.
Nation-state attackers, meanwhile, operate within military and intelligence bureaucracies that have historically lagged private industry in adopting technologies, from mobile devices to drones. Non-US-aligned nation-state attackers also face challenges in reliably, consistently, and secretly accessing US frontier models.
So, all in all, AI is making offensive capabilities cheaper, but that doesn't immediately translate into damages. At this point, this is a robust finding from the entire 2022–26 period; as in the rest of the economy, we haven't seen a big AI-driven productivity bump among attackers, and attackers are even more disadvantaged than your average business or civilian state agency.
Of course, this won't last forever! How do we exploit our current, limited defense-dominant window? Getting to a good-enough steady state will require creative thinking. I liked @chrisrohlf's piece on eliminating attack surface in OSS applications because it identifies leverage points for eliminating whole classes of risk using 2026-era AI (xitter.cf/chrisrohlf/status/2112…).
We also need to revisit formal verification, control flow integrity, dynamic taint tracking, and the like, now that AI can make them more practical than they used to be. We also have an enormous overhang of underdeployed defensive technology. Honeypots, honeytokens, sandboxing, multi-factor authentication, and application allowlisting are all less widely deployed than they should be because businesses calculated they weren't worth it.
The AI industry should recognize that heavily gated trusted access programs have failed as a strategy; php2shell was identified by defenders first, and we need more defenders identifying more bugs faster. The defense-dominant window is exactly the moment to pour gas on the fire of diffusion of as-cheap-as-possible AI security capabilities that disproportionately advantage defenders.
If you don't like what this means for attacker access to models, I agree with you! The answer is to solve the quadratic coordination problem among cyber organizations, AI companies, governments, and Internet infrastructure providers by building institutions that identify attacker groups, kick them off inference platforms, and, wherever possible, get them arrested. This is an operational threat intelligence / threat interdiction problem, not a trusted access program problem.
Ramez Naam retweeted
US PhDs have become more STEMM-dominated over time















































