rancar2

As a youth football from 5 years old in the 90s to high school in 00s in the Midwest, this is not surprising at all. Things are competitive from a young age. We more recently know much better, but this knowledge. The taught knowledge was protecting one’s neck from injury with “proper” form. From my lived experience at those times, there was 0 mention of head injuries, and blacking out and dizziness after hits were ignored by all if you were able to stand or walk within a short period of time.

And Cloudflare is making money on infrastructure margins not eyeballs (ie advertising like Google), so the incentives are well aligned for this to continue.

Agreed, and there is already a solution that’s better to support anyway. It may not be perfect, but Wikipedia operates on this model at scale at a much smaller annual budget than any of the AI companies and has produced much higher quality content overtime for all of humanities benefit than the AI teams which are most just scraping the work of others while spending most of their original work to replace human labor for their own financial benefit.

Wikipedia community bans AI-generated entries because verifying and removing AI hallucinations imposes even more workload on editors than writing articles from scratch [1, 2].

If you don’t agree that Wikipedia’s approach, one can always fork it like was done with SpaceX / Twitter did with its launch of Grokipedia on October 27, 2025, which hasn’t been really incorporating much improvement well with lots of digressions in its quality and reliability [3].

[1] https://en.wikipedia.org/wiki/Wikipedia:Writing_articles_wit...

[2] https://en.wikipedia.org/wiki/Wikipedia:Editing_policy#Artif...

[3] https://en.wikipedia.org/wiki/Grokipedia#Reliability

[Edited for better formatting]

I’m happy to connect you to others in that specific space that. I’m easy to find by adding a dot com after my username.

There is a liability in the USA if their organization was the one leaking, so plausible denial is the legally safe route to take for a company governed by USA regulations.

Andrew, congrats on the launch! Great to see another scaled manufacturer and assembly line here in Massachusetts. I helped scale another startup with personalized for 3D prints for orthodontic braces (https://lf.co/blog/deloitte-fast500-2024), so feel to reach out to exchange tips since the generic mass manufacturing world is not well suited for this new world of “one size fits one” at a global scale.

Also, one question to pick your team’s brain: What’s your team’s AI PCB workflow and design tips to work with your production line? Any specific tips for ESP32-related integrations?

It documents that there was active attack four days prior to the embargo with suspected leak happening prior to Pete’s post here on HN, which was a day before the embargo ended that Pete was unaware of when posting.

That is part of the human victory, but there’s still more to be done to close the chapter fully. There is still on-going developments and testing even into the past decade that are publicly known (and more privately known to have leaked) that have follow on effects for all current and future living creatures of Earth. This chapter of humanity is unfortunately still active to the determinant of all.

That’s kind of you, Pete, but it was leaked and being exploited well prior to your previous posting here: https://aws.amazon.com/blogs/security/amazon-threat-intellig...

TLDR: I was called in several hours after the downtime started. I architected and built the full system so I knew things were incredibly consistent and how every layer worked (each layer of the software/database, load balancers, the quirky legacy protocols, network setup, etc). IBM was saying it was an issue on the financial institution side, which I validated was not the case practically first (things were down so I was given freedom by the executive team to do as I needed). Since I sanity checked the easy parts first and had high confidence this was something much more wild after scanning through more stack traces than a human should, I decompiled and reverse engineered their code to show the IBM teams where the bug was in their switch statements triggered by the Redhat patch difference and its dependencies that triggered the edge case that stopped the highly available cluster setup from functioning. I created a script to override the system properties being read in on startup to trick the switch statement, show it worked, and got the system back online. IBM made an official hot patch that fixed the issue officially along with paying a lot of money back to the financial institution for their troubles (ie the double contractual obligations for the premium IBM support with included SLA clauses that were overrun and the proprietary IBM software itself).

I have built these system for financial institutions since before cloud providers. It is hard/impossible if not well constrained at a level that supports data availability and consistency well (ie using a proper database with the correct setup across all locations with the underlying OS configuration/patches applied uniformly - the latter lesson cost IBM a lot of money due to system downtime for a financial institution that I brought back online). Many software vendors offering on-prem versions don’t know how this works well exactly, so I’ve had to help them along the journey and get them to sign-off for their contractual obligations to be upheld in the setup.

The readme links to the paper (in the badges), which is more helpful in understanding the project: https://arxiv.org/pdf/2610.14224

I was only encouraging the individual’s good work here vs a lot of the negatively being thrown out. I was noting the rest and not endorsing it. I’ve built payment and billing system at scale in both B2B and B2C contexts. These mistakes would have never been in production and aren’t acceptable from a vendor imo.

Thanks for the attention and fixing this.

Note to others who are blaming Amthropic in various ways. This is what taking responsibility is.

Note also that Anthropic outsources the billing and metered billing to a third party still, who is doing very well with the growth. It’s a more recent company in the space so it comes with a lot of bugs that are getting learned with time which is why there are so many interesting (at scale) and obvious errors (billing systems are build over years not months) being corrected with time.

I think it’s covered appropriately for the audiences. The two posts are for different audiences and purposes. The Deno post by Ryan is for the Deno audience, which is mention at the top of his writing on the Cloudflare post that is for a broader audience of what this means for the Cloudflare audience: “For more on what's happening to the Deno runtime and our various efforts, see my post on the Deno blog.”

FWIW both Ryan and Kenton are very transparent in person, in public, and online over their professional careers. They will and do openly change their minds based on new information and opportunities as time goes along. Both are now founders of open source projects acquired by Cloudflare for the technical architecture talents seeing a future that they would like to build.

The videos of the features are very well done, and it looks like there is a unified vision, which is not what any of the other products have. Did Google copy some of the UI/UX? I was curious where their inspirations were, and I think this may have been it.

I look forward to the beta and beyond!

Great questions. We are incredibly far off in understanding the brain of humans beyond what will I believe we retrospectively be seen as basic and will likely be seen as quite flawed. A few more well known examples of where knowledge already falls short is traumatic brain injuries that are diagnosed in post-mortem, or chronic fatigue symptoms (with Long Covid related triggered onset and numerous others) that have diagnostic challenges, many mechanisms of action still to be discoverd, and little in terms of treatments that provide known cures without experimentation. Another commonly known one is the personal patient response and triggered side effects of SSRIs and SNRIs. If one attempts to dig deeper into where we are at in the understanding of the human brain operation in real-time, we already have a lot of knowns unknowns and discoveries left that will reshape how we model human intelligence.

Doctors are good with getting a shorthand note they can scan prior to appointment about updates, etc reverent to the appointment that day. My experience is that AI models even with expert curations cannot currently do well by itself and would waste a doctor’s time and could be misleading too. As such as noted by the parent comment, that note would need to be summary sheet that AI touches would have to list facts and context with patient review that it accurately would represents what the patient would say in their own words.

Pro tip: check out the NoHarm benchmark and tracking to see how the current models are generally trending on the medical frontier. Make sure to select Clinical not General: https://www.arise-ai.org/mast

And if you look at some the data carefully as one of the models highlights on their blog, there’s concerning behavior for Fable on this front: https://www.amboss.com/us/newsroom/noharm

If you are interested in that specifically, you may be a bit more interested in DuckDB’s growing support in this area: https://duckdb.org/2026/08/20/duckdb-20-peg-parser

Ellie, I’ve greatly appreciated your work and your talks! Thanks for sharing your insights.

To give a bit more discouraging advice to Ledge, these tldr insights have made me run circles to resolve. My experience is that one will start getting into build system and dependency mapping to make this sustainable. And then if one wants something more universal, one ends up building something like homebrew, which doesn’t even cover all OSs for good reason.

As you dig deep across system dependency and updates and configurations, there are crazy, crazy, crazy cascading bugs that popup from personal experience. As an example of how this comes up in practice, this is why many teams end up building on Electron as a common cross-platform bug fixer (Tauri has catching up to do although generally works well).

“Depends”. This is a good tldr from NPR with the author of the book: https://www.npr.org/2026/04/11/nx-s1-5780065/gut-constipatio...

The primary study for kiwis notes: “Participants were instructed to consume the [green] kiwifruit without the skin.”

https://pmc.ncbi.nlm.nih.gov/articles/PMC10226473/

The skin does add both fiber and nutritional value (gold skin is more enjoyable then green IMO), but it may not be well tolerated by all.

Glad you discovered the gem he is! What made me appreciate his expertise first? Most people use a dish washer wrong. His video will break it all down to help one understand how to use the typical dish washer in the right practical ways in which it was engineered.

I respect that the bling protest. I’d respect the writing to another level if they touch on some of the very public incidents that have happened in/around and associated with MIT, where this level of cost/security was even considered in the first place. This would open more dialog around better approaches as well.

Since I didn’t love the technical approach here (once one takes the humans out of the loop, there’s more ambitious things that can be done), I do appreciate the process. It’s not until the last sentence when process inspiration is revealed: “Special thanks to Boris Cherny for encouraging us to be more ambitious.”

OpenAI is trying to level up their growth marketing to match Anthropic’s. Tactics in growth marketing (speaking from my experience leading in this space) are not public knowledge as it’s a cat-and-mouse game on multiple fronts (ie CAC goes up and changes the economics when a high ROI source is found, etc. etc. etc.), which makes hiring the right person vital as information asymmetries are where the ROI is (ie more revenue per dollar spent on marketing). Anthropic hired the right person for strategy and execution long ago in LLM-years, and there is a good podcast on the story here: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-grow...

I think Dario is writing with much of these things in mind, but using this as a specific framed opportunity to enable a better interim and long-term outcome for this planet with us still on it. When the internal motives for Dario are fully shared on the other side of the hill, I think we will find his writing to be more about influencing and shaping policy to steer the world in the best way possible within his ability, control, and knowledge. It’s a commonly held believe with the effective altruism community, which Anthropic team was formed under, to use the policy levers to positively influence the world. If I read this latest writing from Dario through that lens, there are deeper concerns with the AI tooling that go well beyond what’s noted in this singular post and are likely the motivations for re-attempting a slowdown or pacing. I too generally agree with for many reasons like allowing the young OpenAI engineers to make mistakes like the Hugging Face incident in July and put better processes in place (ie where is your decent multi-level fencing controls and harness best practices when disabling security features and where is your energy/spend limits for achieving the mission objective in scope and not warming the world for no reason!) and more time to engineer and deploy better hardware to not warm the world instead of burning through fossil fuels since now data centers in the US can isolate pollution from the grid to exempt themselves from federal regulation.

That was sunset and replaced by Antigravity. FWIW until I abandoned it knowing the sunsetting, I was able to get good behavior out of Gemini CLI with overriding the system prompt. The default prompt crippled the harness with very poor instructions, but there was a hidden ENV to override it. Replacing it with Claude Code like prompts based on the model selected, it ran at a much higher intelligence level full stack with significantly less errors.

It may be a comforting idea to believe that our affection should require no assistance at all, and expect from all others that it should flow quite effortlessly from a caring mind. But human capacity, I have come to realize with both age, health, and genetic variations is rarely so simple a matter. When a person admits quite vulnerably that their memory falls short as the author has, yet their desire to care for their relationships remains entirely intact, there is something very moving in that alone. But to spend ten years quietly building as the author has is an act of love for people they care for are not lost to memory and forgotten in time.

It runs that global marketplace enabling this kind of trade per their internal 2024 documents quoted in the following article:

https://www.reuters.com/investigations/meta-is-earning-fortu...

“Meta internally projected late last year that it would earn about 10% of its overall annual revenue – or $16 billion – from running advertising for scams and banned goods, internal company documents show.”