15 years of molecular nanotech, brain emulation, DNA synthesis, longevity, cryonics and more. Join the #hplusroadmap gc now available on discord discord.gg/vFPzfaaeXv - work on cutting-edge technology development projects. Read more here: diyhpl.us/wiki/hplusroadmap

This was a different era. Now speech-to-text is amazing, and we have the Star Trek computer to answer our every question. My typing days are over.

Insane alpha, must read, might well redefine this economy. Everything me, Zephyr etc have been saying about the real profitability of the frontier inference is powerfully vindicated

⛊ BitVM2 enabled SNARK verification on Bitcoin, but disputes required 4 MB of onchain data. ⛊ BitVM3 cut that to 200 bytes — at the cost of 50 GB of offchain data. ⛊ Argo reduces the offchain data to about 10 MB, making BitVM bridges highly practical. 👨‍💻 Open-sourcing this week! eprint.iacr.org/2026/2165

the Total Audit

Oh wow, so you're building a "matter compiler"? Cute. We're programming self-replicating matter at scale, arguably the most sophisticated technology in existence. Betcha you can't do that

People have no idea how many ways there are to write false, vacuous, circular, and category error theorems in Lean. Only 42% of the OpenAI theorem dump is Lean formalized and I'd bet less than 10% survive after 5 years.

the fact that tens of thousands of people are taking research grade peptides and there have been essentially zero issues relating to CMC-type problems is a huge indictment of compassionate use / expanded access controls

officially announcing the next @cryodao research project: $259,000 for "TOTAL RECALL" 🧊🧠 setting out to prove that complex mammalian memory can survive cryopreservation with legendary cryobiologist greg fahy and principal investigator regina monaco two complementary approaches will be pursued: testing whether learned responses survive cryopreservation in neural cultures and/or hippocampal slices, and whether the molecular changes associated with training are preserved together, these approaches target one of the central questions for cryopreservation: can the information underlying memory survive?

reflecting on 1920s images of people working on massive generators for the electrification of the modern world makes me realize that the past was wildly futuristic too

WHERE'S ED BOYDEN? Oh. He was only a PhD student when he co-invented optogenetics and performed the first demonstration, so he gets no credit. Instead his advisor gets all the credit. From National Academy of Sciences: Boyden, "in parallel to his PhD, as an independent side project, co-invented optogenetic control of neurons." One of the worst snubs in Nobel history IMO!

The Economist published an article yesterday calling for regulations to protect against mirror life. They propose restrictions on buying mirror chemicals, including extremely normal stuff like L-Glucose or D-amino acids. What is going on, guys? Where did this come from? I think the concerns about AI designing pandemics are overblown, but at least designing viruses is a real thing that we actually know how to do. 1. To be clear: we do not have any idea today how to make an autonomous cell from scratch, mirror or not. Making a mirror cell from scratch is much, much harder than making a non-mirror cell from scratch. I am a believer in strong AI acceleration but there is a lot of hard science and manufacturing that is missing here. People have ideas about how to do it, but they have ideas in the same way we have ideas about quantum computing: we will have lots of hints that it's around the corner before you see in on a shelf at walmart! Call me when we create an autonomous non-mirror cell in the lab from scratch, and then we can chat about sensible regulations. 2. Even if they existed, mirror bacteria wouldn't be able to escape the lab: they couldn't eat anything. Good luck being a left handed organism in a world where all the food is right handed. I know, a malicious person with access to mirror life could in principle give the mirror organism a way to digest non-mirror food, and then it could wreak havoc. But the converse is also possible: if a mirror bacterium were on the loose we could just give the normal non-mirror bacteria enzymes that would allow them to eat the mirror bacteria, and drive competition. This fact is generally ignored. 3. Finally, mirror life doomers pretend we have no defense against mirror life. This is also just nonsense. We have plenty of defenses. They are called mirror antibiotics. Mirror antibiotics would work against mirror life the exact same way non-mirror antibiotics work against non-mirror life. And there are way more options for mirror antibiotics than there are for non-mirror antibiotics, because we don’t have to worry about accidentally killing the human in the process! We actually even already have a ton of mirror antibiotics, since they are usually byproducts of antibiotic manufacturing. Fosfomycin, for example, is extremely simple, easy to manufacture in bulk, and industrial quantities of mirror fosfomycin are already produced today as a byproduct of fosfomycin synthesis. D amino acid analogs, like D-cycloserine, would also be very effective. If we can figure out how to make mirror life we can definitely figure out a bunch of universal mirror antibiotics to kill it. Spare a thought for the poor scientists studying chiral biochemistry. Their requests to the models are all about to be denied as potentially dual risk. Meanwhile, want help finding a supplier for a toxin with nanogram LD-50? Sure, Claude will help you with that. I agree mirror life escaping the lab would be bad and it deserves consideration, but can we stop pretending that it is a huge danger right around the corner that deserves front page regulatory attention, and instead focus on real shit like AI cyberattacks and the fact that the poles are still literally melting?

Our clinical trial participants have now used their Neuralink implants for over 50,000 hours, building one of the largest datasets of intracortical neural activity ever. We used it to pretrain a foundation model for BCI: self-supervised neural encoders that turn noisy, drifting spikes into stable representations. Some initial results: • Decoders that keep working for weeks instead of days. For some users, calibration dropped from 10 min/day to 10 min/week • Teleporting cursors that jump straight to the intended target • A new cursor-control record of 11.32 bits per second (exceeding the performance of most able-bodied people) We’re just getting started. Future directions include pooling data across participants, one-shot (or zero-shot) calibration, and an API for the motor cortex. Read more: neuralink.com/updates/pretra…

A not-so-amusing followup. I'm not feeling great today so instead of working on my startup (which requires real concentration) I decided to generate some realistic cost estimates for a comprehensive gene drive based mosquito control program. I would have then turned this into a post with some estimates on the feasibility of such a thing. Nothing I was discussing was sensitive or could have been used for anything like creating biological weapons. There wasn't even a discussion of the genetic mechanisms involved; it was all basically just population modeling, which is about as innocent as you can get. However, after cooperating for a while, ChatGPT shut down hard, as can be seen below. This is the sort of obvious and beneficial research question the AI safetyists have denied us being able to ask. Knowing whether realistic control and elimination of dangerous disease bearing insects is economically feasible is not harmful to anyone, it's a positive good, but I'm not allowed to ask because of safetyism pushed by the Doomer community. Suggestions on what open source model I should try working with instead are solicited. I'm increasingly uninterested in jumping through hoops to deal with the twisted idiocy of the "safety" community and just want to do work without being harassed or moralized at.

Abliterated Large V2 by @abliteration_ai is now on Venice. If your job is breaking things before attackers do, "I can't help with that" isn't an option. Exploit analysis, payload review, threat modeling, red-team scenarios. No refusals, no logs tied to you. Available anonymously.

Only a tiny fraction of the world’s mosquito species prey on humans. All of these are invasive across essentially their entire range, having tagged along with humans as we moved around the world. Multiple careful studies say that eliminating these species would have little or no impact on the environment. However, it would save at least a million human lives a year, and get rid of a constant source of discomfort that prevents people from safely spending as much time outside as they would prefer. Malaria is only one of dozens of diseases, many potentially fatal, spread by mosquitoes. Gene drives can safely and relatively inexpensively eliminate these parasitic insects; we can create male mosquitoes that can only have male offspring and which then crash the population. It’s well past time that we did it.

The statue of Prometheus is finally finished. It was cast in Paris, crossed the Atlantic, and was assembled at Starbase. It took us 100 days to go from nothing to this. People of the West, we have lived through an era devoid of dreams, devoid of destiny. But the time has come to reclaim our dream of antiquity. In a few months, we will start building a new city. It will be the most magnificent city in all of history. After all, the great dream of the West has always been to rebuild Rome. Come walk beside us in this endeavor. The world is waiting.

Good luck with that.

One of the biggest killers of innovation is being blinded by hypothetical downsides. It’s easy to raise concerns about why something might be risky. It's much harder to consider the potential harm of putting too many restrictions in place. Consider the de facto ban on nuclear with the establishment of the Nuclear Regulatory Commission. Today we'd have a modern, robust electric grid, and much higher economic growth, if we had kept building nuclear power plants. All around us we see systems that were well-intentioned when they were introduced, but had unintended consequences. How things fail: - Asymmetric error costs - approve a bad reactor or drug and you’re famous. Yet if you block a good one, no one ever knows. - Process as a veto - hourly fees, multi-step license applications, EPA reviews. Endless delays erode capital. - Worst-case models treated as fact - LNT radiation, any sonic boom is unacceptable, etc. - Rules written for the last accident, applied to the next design - we see this in everything from nuclear to financial services. Change is uncomfortable, but if we stop progress, we do a disservice to our ancestors who tolerated discomfort to bring us the modern age. We owe it to them to continue making progress. Keep building.

getting acquired by @nvidia = hugging face can now hire people we couldn't as a small startup and give them a decade to make open-source AI win! if you're one of them, my dms are open

Open-source AI models can improve cybersecurity. Publishing weights lets outside researchers evaluate a model, probe how it works, red-team it, and test safeguards faster than any single lab could alone. They also provide powerful tools to cybersecurity defenders when closed models are too hobbled to help against a cyberattack. Openness carries no guarantee of safety, and neither does closure. What matters is which mix of developers, deployers, researchers, users, market incentives, technical practices, and law best mitigates a given risk. @neil_chilson