danielrmay

Neat project. I wonder how a small model could interpret movement data to provide personalized improvement suggestions e.g. "you're weaker targeting left than right, but only under these conditions"

I think as I've gotten older, the fear of expressing myself has increasingly turned into a sense of duty to do it anyway. The more people feel pressured into silence, the more important it seems not to be.

Have you tried asking for an SVG with the same level of detail you specified in that prompt, though? https://github.com/simonw/pedalican/blob/main/run/prompts/ro...

I'd be interested to see what comes out, but it also highlights an curious prompt-control-comparison question

What does good look like?

Asylum-seekers, domestic abuse victims, sex trafficking victims, indentured servitude and modern slavery, etc. Access to guidance on government websites represents a way out of society's most dangerous situations for vulnerable people, and getting caught browsing the wrong help article can be risky. Automated intelligent surveillance isn't outside of the realms of the imagination, either, which is troubling

For all of the advertising of GPT 5.6 in this charming little game, the chatgpt.com UI has failed to load in the past several hours for me

A clean reading experience appears to be a unique selling point these days

Can you explain which benchmarking differences you'd expect to see from this hardware, considering?

Neopets just arrived in Fortnite, which felt like a good time to go public with some of my related but greyer engineering history. Happy to answer any questions anyone might have!

Perhaps if less spending went towards their private aviation interests LTT labs could review a piece of hardware that was released _this_ year, or maybe extend their narrow testing process to cover real-world use metrics like TTFT. Not to mention the lack of real value-perf comparison to CUDA

As someone who's self-taught, I find this argument tantalizingly validating, but I'm constantly reminded that universities offer more than just the material. Between peer networks and "alumni" connections or even just the ability to email a former professor or TA for advice, these opportunities just aren't really available independently. Skipping college might not limit what you can learn but it sure narrows the network and institutional support available to you.

A good start. From 2024: "A company allegedly tracked people’s visits to nearly 600 Planned Parenthood locations across 48 states and provided that data for one of the largest anti-abortion ad campaigns in the nation, according to an investigation" - https://www.politico.com/news/2024/02/13/planned-parenthood-...

Yes, this should be a monster machine. Ampere is an older generation, so I expect that's where some of your issues have been

I am less worried about prompt injection now.

Why? The exfiltration vector was known, the sample size was small, and the safety instructions were likely statically positioned. In regular operating practice, none of these three guarantees may hold.

The name is always lowercase: peerd.

Gotta love it when agent instructions get blurted out in user-facing documentation

Yes!

What might you build when you let Claude take care of commits? :-)

Perhaps Claude approved the wrong compute allocation plan

This should be an indication of how valuably xAI sees the training data that Cursor has accumulated, especially with its work on Composer 2.5. Last month, SpaceX and Cursor announced that they had been working on training a new model from scratch. Interested to see if this will put Cursor back into the zeitgeist.

Yak-shaving-shaming puts limits on the creativity of talented engineers by constraining them to existing patterns and practices or building on top of abstractions, and practically, that results in engineers and teams with less breadth. In an applied software world that's exploded in framework and library complexity in recent years, I think there are always going to be yaks in dire need of a shave.

"Embrace, extend, and extinguish" https://en.wikipedia.org/wiki/Embrace,_extend,_and_extinguis...

Yes, exactly. Over the past few months I've been trying to refine the vision here - it started with me thinking about my own use case in personal AI, and now has grown into me understanding how there's actually an pervasive governance problem in agentic applied AI right now - we know inference is inherently fallible and yet have none of the open standards for trust and safety we know can protect consumers and businesses.

For fun, this month I shipped Foreign Trivia - a wordle-style tiny daily trivia game where every question is in a different language, with tap-to-translate words as you play. It's part language-learning, part pattern-matching and part trivia. A new puzzle every day. https://foreigntrivia.com

I've also been working on an open source protocol / reference implementation for user-owned AI memory, with the basic idea being that as applied AI scales, more products will derive more claims about users, teams and workflows from chats, docs, calendars, emails, etc, and they shouldn't be trapped inside of one product. Right now there's a lot of opinions on what shape memory should take internally, but I'm focused less on standardizing that part, and more focused on the primitives around it: requiring inspection, correction, revocation and treating portability as first-class. It's early but I'm starting to build more of a clear vision around it and would love feedback from anyone working on local-first software, personal data stores, capability security, knowledge graphs, etc. https://github.com/danielrmay/likewise

I also shipped Claudity, an experimental thinking partner plugin for Claude Code based on Microsoft's Clarity Agent framework/harness open-sourced last month. https://github.com/danielrmay/claudity https://github.com/microsoft/clarity-agent/

Lastly, I'm working on an homage/satire project to milliondollarhomepage.com as it's one of my favorite web phenomenons of all time.

I went back to the UK a few weeks ago for an old friend's wedding, and the ID verification process shocked me.

I hope the news moves this debate past "open weights vs. closed APIs" as the only axis. Open weights matter, definitely, but applied AI also needs open infrastructure around the model and it feels a bit like I'm yelling into the abyss highlighting the future we're incentivizing - cognition rented from a few institutions with access changing based on policy, geopolitics and platform incentives like advertising

Thank you! I'm actually using this adversarially (or maybe just an experiment) to compare it with an open source protocol that I've already begun to publish but am having trouble getting traction or review on due to it sitting awkwardly across so many domains: local first, capability, ux, security, personal AI memory, knowledge graphs. I have a reference implementation in Rust (I see this site built theirs in python - interesting) but I've been working more on building the right way to explain the need.

It's hard to explain briefly, and so putting this prompt up was a way for me to possibly generate some interest and act as a little public marker for an idea: open-source user-owned memory infrastructure for AI and the importance that I think it represents. My vision and belief behind this project has been slowly building for the past two months - I think personal AI memory will become one of the most important layers in computing, and I'd like that layer to be inspectable, correctable, portable and truly owned by the humans it describes. I'd like to encourage any casual readers who might be interested to reach out to me.

I've experienced this too - it's as if the security classifiers aren't keeping up with model intelligence. I'll leave the implication of that to the reader.

This is actually kinda exciting. I threw in an open-source idea I've been playing with, and paid $25. I hope it comes back up soon or I'm going to have to put Fable on building a replacement.

Bravo. I feel like there's a kind of growth that only arrives through pain, but I wish nobody had to receive it that way.

Peering through the NICU window & wondering if my child would survive was one of the most traumatizing moments of my life. Rooting for your work.

About a month ago I wrote a blog post that spoke to the rise of poor quality content as a result of agentic workflows, but it primarily focused on ethics: ending with presenting how a synthetic author named "Elias Thorne" is now rising in _alternative Cancer treatment_ book categories on Amazon, and questioning how this will affect the web over time. That post is here if you're interested: https://danielmay.co.uk/posts/cheap-agents-alumni-shirts-and...

A few weeks after, a doctoral research team from Cornell published this paper to arXiv that digs into more of the same phenomenon scientifically (n=20k vs my 8!) and examines the training data to try to understand cause. I'm interested to continue to see what the second-order effects of this phenomena will be.