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Introducing Deno Sandbox (via) Here's a new hosted sandbox product from the Deno team. It's actually unrelated to Deno itself - this is part of their Deno Deploy SaaS platform. As such, you don't even need to use JavaScript to access it - you can create and execute code in a hosted sandbox using their deno-sandbox Python library like this:

I also use newsboat. I've been thinking about building my own bespoke rss reader. Not sure I want to do it in bash though.

Recently, I started reducing my dependencies on external software. Yesterday, I thought, why not write an RSS reader myself. It will not be as powerful and robust as my current one, but it will be simpler, more hackable, and mine, i.e. I will not be dependent on a stranger's commit that might break my system accidentally or on purpose.

"The central challenge of brain emulation is not to store or compute the neurons and parameters, but to acquire the data necessary for setting neuron parameters correctly in the first place," he writes. ""I believe that to get to human brains, we first need to demonstrate mastery at the sub-million-neuron-brain level: most likely in zebrafish. For such organisms, like the fruit fly, a well-validated and accurate brain emulation model could be created in the next three to eight years… "Conditional on success with a sub-million-neuron brain emulation model, a reasonable order of magnitude estimate for the initial costs of the first convincing mouse brain emulation model is about one billion dollars in the 2030s and, eventually, tens of billions for the first human brain emulation model by the late 2040s."

I love the idea of having my website directly connected to the fediverse. A bluesky comment section is really cool. I instead turned my website into an ActivityPub actor. I don't have comments setup though. I bet I can do something similar.

There are other services that could be used for this purpose instead. Notably, I could embed replies from the social media formerly known as Twitter. Or I could use a platform like Disqus or even giscus, which hosts comments on GitHub Discussions. But I see Bluesky as a clearly superior choice among these options. For one, Bluesky is built on top of an open social media platform in AT Proto, meaning it can't easily be taken over by an authoritarian billionaire creep. Moreover, Bluesky is a full-fledged social media platform, which naturally makes it a better option for hosting a conversation than GitHub.

Projects, not jobs. Hiring, not being hired.

I had my clanker convert my personal website into an ActivityPub actor. It was a lot of fun when it actually did what I wanted it to. I also learned quite a bit about how ActivityPub works while trying to steer this thing in the proper direction.

Pi is written by Mario Zechner and unlike Peter, who aims for "sci-fi with a touch of madness," Mario is very grounded. Despite the differences in approach, both OpenClaw and Pi follow the same idea: LLMs are really good at writing and running code, so embrace this.

I think the upshot of all of this is that there is a lot of value to actively managing your agents' vibes and feelings, not just treating them as text-generation robots. The models aren't alive, but thinking of them as having feelings, rather than just next-token-prediction engines can help you nudge their mental states into a better place. I think you'll like the results.

As a business school professor, I think many people have the skills they need, or can learn them, in order to work with AI agents - they are management 101 skills. If you can explain what you need, give effective feedback, and design ways of evaluating work, you are going to be able to work with agents. In many ways, at least in your area of expertise, it is much easier than trying to design clever prompts to help you get work done, as it is more like working with people. At the same time, management has always assumed scarcity: you delegate because you can't do everything yourself, and because talent is limited and expensive. AI changes the equation. Now the "talent" is abundant and cheap. What's scarce is knowing what to ask for.

My bet is that most parts of cyberoffense and cyberdefense are going to move to running at "machine speed", where humans get taken out of most of the critical loops. This will both increase the frequency of hacking attacks while also dramatically scaling up the effectiveness of any individual human defender or attacker (as they will be scaled by AI systems which work for them). The true wildcard question is whether this turns out to be offense- or defense-dominant – my guess is we're heading for an era of offense-dominance as it'll take a while for defenses to get deployed.