Any insiders know how Muse Code is doing internally?

It makes sense that they're leaning into an all-in-one platform play, i.e. if you use DOs, you might as well use our wallet/sandbox/AI gateway/etc. too.

> The settlement addresses allegations that both companies violated the Immigration and Nationality Act (INA) by discriminating against U.S. workers and instead preferred workers with temporary employment visas [...]

> In addition, OpenAI took other steps to discourage U.S. workers from applying, such as advertising positions on the radio late at night.

They knew what they were doing here and probably don't mind being fined said amount.

> The Open Source Sabbatical is intended to provide professionally qualified software developers with the opportunity to work on an open source project for a limited period of time in order to improve it.

> This sabbatical is not only open to employees of the City of Munich, but also to external software developers.

So cool. Congrats to Sebastian!

> I propose a goal of creating Guardian Angels (GA): digital twin LLMs which are personalized with the goal of providing not the stereotypical “assistant chatbot agent” persona, but emulating a single user’s personality, values, and preferences.

> A GA persona is productive because it learns to emulate the principal’s outputs but with higher quality. It is trustworthy because it is, by definition, allied with its principal and shares its values and goals. And it is secure in part by hardwiring a single, unique, situated user (for whom following a prompt attack would be absurd)

> We can try to create GAs by a combination of techniques: online learning (via dynamic evaluation) to update LLMs in realtime to avoid ignorance and fatal errors while remaining competitive with frozen frontier models, sample efficiency from pretrained preference-oriented large models and active Learning by querying the principal for corrections and preference data (obtaining low regret from DAgger-style bounds), and a local CLI-first logging-oriented UI/UX paradigm.

I don't really know or follow Gwern. From reading his full post, it's an interesting idea and seems like the broader goal is moreso safety & alignment which is a new angle for this category of product.

Comments URL: https://news.ycombinator.com/item?id=49156127

Points: 2

# Comments: 0

Count me in.

Nice!

This could be a great anecdotal benchmark for agent/model progress. I wonder how much easier things have gotten with the latest Codex/Claude vs. when isometric.nyc was made.

4th: https://cdn.saffire.com/images.ashx?t=ig&rid=OhioStateFair&i...

5th: https://cdn.saffire.com/images.ashx?t=ig&rid=OhioStateFair&i...

Hate to be the “it’s different this time” guy, but it really does feel like AI deployment and adoption is happening much more quickly than the cited timelines.

I don’t think it’s just the massive CapEx and easy distribution across major software interfaces (e.g. Microsoft suite, Google, Windows, etc.), though that certainly helps.

I think a lot of people (more than usual?) are also just excited to try AI tools. I’ve spoken to folks who are just a few years away from retirement and still experimenting with Copilot at work (non software industry) and having fun with ChatGPT, etc.

I think the emphasis on using them for ads & monetizable slop is because they’re currently too expensive and thus usually need to be part of a revenue generating pipeline.

I think this is way over-philosophizing and missing the basics of modern life.

Many people live in capitalist societies and are well-adapted to continuous 1) consumption and 2) production, both of which keep the economy spinning and neither of which involve doing nothing.

Whether that's good or bad is up for debate, but to attribute the difficulty of "doing nothing" to the fundamental human condition is a huge stretch.

Agreed that many parts of the development pipeline can be hit-or-miss. At scale, it's great to have a dedicated "Developer Experience/Tools" org, though I've seen mixed results even with one.

Interesting approach to open source contributions. Closer to feature requests at that point?

80% return is still excellent.

This is... ridiculously cheap. Amazing!

> We welcome all contributors to the community even if they have not yet followed our policies; we should guide such contributors on how to do so.

Kudos to the GNU project for their attitude.