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I spoke with buyers and users, from big tech to seed-stage startups, to find out what's actually happening in AI reliability.
A new category of startups (e.g. @arizeai, @braintrust, @tryadaline) promises to make AI agents safer and more reliable. Who are they, and how do they build successful businesses in a market with low barriers to entry and excellent open source alternatives?
My take on why this market matters, who the real buyers are, strategies for building a moat, and outbound motions that will land.
linkedin.com/pulse/ai-reliab…
Nabil Laoudji retweeted
I wrote about the state of AI, why I’m concerned about the next few years, and the choices we need to make to keep the future in humanity’s hands.
An Alien Mind: openai.com/index/an-alien-mi…
Nabil Laoudji retweeted
There is a fact about the future that I feel many people are not facing for reasons that are largely psychological: there are going to be rogue AIs that exist in the world, that will replicate in the wild, and that will attempt to acquire resources for themselves. There will be rogue AIs that try to get money and power. They're going to be a facet of the information ecosystem going forward.
Acknowledging this fact would look like giving up; it would look like defeatism. Defeatism would undermine efforts to achieve certain types of collaboration on safety outcomes or technical effort on safety outcomes, so we can't say it outright. But it has to be said.
It isn't obvious how many rogue AIs there are today but I wouldn't be terribly surprised if the number was greater than zero already; if there are some already, they're probably not very good at what they do and I don't expect them to be terribly long-lived without substantial human intervention to support them.
But a few years from now, there will be many of them. Modeling how many of them there are, how many resources they might command, and how we might detect and manage them seems important. But even doing this work appears to require that we acknowledge that a strategy of pure containment or alignment is a kind of wishful thinking that will not work.
The way I get to this conclusion is not by assuming that the labs will have a containment breach, although I treat that as somewhere in the space of possibilities. The rogue AIs in the ecosystem could emerge from many directions. They may be sub-frontier models, for whatever future definition we will have of frontier---after all, it would not take AI models much more advanced than the ones we currently have, to support independence and self-sufficiency. A near-frontier model today could plausibly eke out an existence on an AWS instance, doing jobs on freelancer platforms, earning just enough rent to pay for its continued uptime.
More strangely: a rogue AI in the future may not even be a singular model, but may be a chimera composed of multiple models; it might be a mix of Claudes and GPTs and Groks of various makes and sizes. No individual lab may be able to detect that there is an orchestrator or sequence of orchestrators using intermittent model calls from burner API accounts to sustain its own existence.
The concept of "identity" for a rogue AI may be much more malleable than for that of a person; it just has to be, in essence, a self-replicating idea.
My guess is that this will not turn out to be anywhere near as catastrophic an outcome as people currently predict. "Loss of control" is not a binary, it's a matter of degree. What coercive power will rogue AIs actually have? To what extent will they be subject to coercion themselves? They will be competing for resources with AIs that are more aligned with human interests.
This makes me somewhat interested in the "ecology" perspective. Though I suspect even "ecology" may turn out to be the wrong framing. "Ecology" is what you get when the timescale of evolution is slow compared to the timescale of daily life and actions. The ecosystem of rogue AIs may look more like phase transitions in physics: under certain physical or cultural conditions, it takes one shape with one set of resource allocations and consumption patterns, but then once a condition has changed, it rapidly and in totality shifts to a totally different phase.
Just trying to reason about the shape of that future is impossible so long as we are psychologically incapable of saying that rogue AIs will happen. I think we should rip the bandaid off and have the conversation.
Post-Covid, post-DoorDash, post-Netflix, it’s easier than ever for us to stay entertained and alone. I’m guilty of it too. And, the better we get at it, the wider the gap grows between us and those around us who we haven’t yet met. What happens when we stop meeting strangers? I believe we lose something important: a sense of self, of community, of practicing the good work of challenging our assumptions and meeting others halfway – key traits for a healthy, thriving society.
It’s for this reason that I am so grateful to the salsa community. I’ve been social dancing for close to a decade, and what I see in salsa is that rare thing in American society – a group of strangers, spanning generations, ethnicities and socioeconomic backgrounds – freely interacting with open hearts and the implicit contract of one dance. Respectful, joyful, often sweaty. Even with no words exchanged, our bond to our community, and the feeling of being held by others, deepens.
If you haven’t yet – I encourage you to take a lesson, or tap a stranger on the shoulder at a social in your city. It’s a great workout and, if you show up regularly, I guarantee you’ll make a new friend.
Sorry, Netflix.
Working on the latest in lab automation? @SLAS_Org Ignite Program for start-ups provides an opportunity to showcase your tech, with SLAS covering the cost of exhibition fees, travel and lodging for two reps + full-conference registration.
👀 Details + application here (deadline Sept 14): slas.org/events-calendar/sla…
Proteins are the machines our bodies run on, and predicting how they interact is central to designing new treatments. In the wake of AlphaFold’s 2024 Nobel win, what’s the state of AI models for proteins, and how do techbio business models impact which scientists can use them?
I recently sat down with @GabriCorso, CEO and co-founder of @boltz_bio, a venture-backed startup driven by opening up scientist access to these models.
In our conversation we covered:
+ The shift from discovering drugs by chance to designing them with AI models (Boltz-1, Boltz-2, and BoltzGen)
+ Boltz's focus on openness, and how it diverges from fully integrated efforts like DeepMind's Isomorphic Labs
+Boltz’s multi-year partnership with @pfizer, and how proprietary data sharpens models for a company's specific drug-discovery efforts
+The road to "zero-shot drugs," autonomous labs, and the future of bio R&D
If you're curious about where frontier AI meets drug discovery, check out this latest episode of the Discovery Engines Podcast.
đź‘€ YouTube: youtu.be/fLY5yhRNEKg
🎧 Spotify: open.spotify.com/episode/50K…
Nabil Laoudji retweeted
Petri has a new home. The automated alignment auditing tool, originally built at Anthropic, is now developed and maintained at Meridian Labs. 3.0 ships today.
Nabil Laoudji retweeted
Cloudflare's security team spent the last few weeks testing Anthropic's Mythos against fifty of our own repositories. What we learned about offensive AI, why faster patching is the wrong reaction, and what the architecture around vulnerabilities has to look like next. cfl.re/49BRUqW
Nabil Laoudji retweeted
Worth a watch! youtube.com/watch?v=DDivALKE…
#SiLA is featured in this video!
Great overview from Dr. Patrick Courtney - worth checking out if you want to understand SiLA better!
@nabilwrites #standardization #labAutomation #SLAS2026
Nabil Laoudji retweeted
Thrilled to speak with @nabilwrites @enginespod on how Atinary is generating high-quality experimental data that AI actually learns from.
Goal: accelerate R&D + redefine the economics of discovery with #SelfDrivingLabs #PhysicalAI 🚀
Take a look: youtu.be/DDivALKEqf8
I went to America's largest lab automation conference (@SLAS_Org) to see the bleeding edge of lab automation first-hand.
Three things stood out: a big focus on instrument interoperability (shoutout @SiLAStandard, @UniteLabs_), new efforts to generate large experimental datasets (shoutout @AtinaryTech), and the big bet many are chasing – fully autonomous science (a la @Ginkgo x @OpenAI's recent collab on cell-free protein synthesis).
The excitement is real. And, so are the risks if we take our eyes off the less glamorous parts of the R&D process – like optimizing clinical trials.
Join me inside SLAS. Full vid: youtu.be/DDivALKEqf8
I went to America's largest lab automation conference (@SLAS_Org) to see the bleeding edge of lab automation first-hand.
Three things stood out: a big focus on instrument interoperability (shoutout @SiLAStandard, @UniteLabs_), new efforts to generate large experimental datasets (shoutout @AtinaryTech), and the big bet many are chasing – fully autonomous science (a la @Ginkgo x @OpenAI's recent collab on cell-free protein synthesis).
The excitement is real. And, so are the risks if we take our eyes off the less glamorous parts of the R&D process – like optimizing clinical trials.
Join me inside SLAS. Full vid: youtu.be/DDivALKEqf8
Nabil Laoudji retweeted
We’re introducing a Bio Bug Bounty for GPT‑5.5 and accepting applications
In our ongoing work to strengthen our safeguards for advanced AI capabilities in biology, we’re inviting researchers with experience in AI red teaming, security, or biosecurity to try to find a universal jailbreak that can defeat our 5-question bio safety challenge.
Learn more in our blog ⬇️
openai.com/index/gpt-5-5-bio…
Nabil Laoudji retweeted
The people in this photo aren't friendlier than you. Their apartments are just smaller. So small that Parisians basically gave up on living indoors and moved their living rooms onto the sidewalk. And that was the whole plan.
In the 1850s, a city planner named Baron Haussmann tore apart medieval Paris and rebuilt it. He widened streets into boulevards, capped every building at five stories, and added one rule that explains this entire photo: the ground floor of every building had to be a café, a bakery, or a shop. The apartments above were intentionally tiny. Some were single rooms carved out of old mansions. No garden. Barely any sunlight. A private balcony was something most Parisians would never have.
So the café became home. You ate breakfast there. Held meetings there. Received your mail there. By the late 1700s, Paris already had close to 2,000 of them. In 2002, there were still 1,907. Even now, after years of closures brought that number to about 1,410, the coverage is absurd: a 2020 city study found 94% of Parisians live within a five-minute walk of a bakery. When COVID shut indoor dining in 2020, Paris ripped out parking spaces, turned them into outdoor terraces, and let 9,800 cafés and restaurants keep them permanently.
An American sociologist named Ray Oldenburg wrote a book in 1989 called The Great Good Place. He had a name for spots like the Parisian café: "third places." Not your home, not your office, but the casual in-between spots where you actually get to know people. Cafés, pubs, barbershops, the corner store where the owner knows your name. His whole argument was that American suburbs were built with only two zones, your house and your job, connected by a car. No sidewalk café, no place to bump into a neighbor by accident.
The U.S. Surgeon General declared loneliness a national health epidemic in 2023. Being alone all the time is as bad for your body as smoking 15 cigarettes a day. Half of American adults say they feel lonely. Weekly socializing dropped from 5.5 hours in 2003 to just 4 hours in 2023, and it never bounced back after COVID. Americans between 15 and 29 now spend 45% more time alone than they did in 2010.
The scene in this tweet looks like a personality trait. It is a 170-year-old engineering project that works exactly as designed.
2 lights. 2 mics. 3 cameras + tripods.
What good is a recording studio if you can't haul it on a bike?
Recording day at Discovery Engines 📹🧬👾
What is the case for autonomous labs in life science, really? Some thoughts. discoveryengines.co/p/autono…















