- From: Bumblefudge <bumblefudge@learningproof.xyz>
- Date: Mon, 3 Feb 2025 23:45:43 +0100
- To: aaronngray@gmail.com
- Cc: Melvin Carvalho <melvincarvalho@gmail.com>, Daiki Mizukami <tesaguriguma@gmail.com>, Bob Wyman <bob@wyman.us>, Social Web Incubator Community Group <public-swicg@w3.org>
- Message-ID: <CAP8tQw1ZV7oEh=BQ4xKg0BYm7h81qJgf6LSi+3sUNmRcn1HRsQ@mail.gmail.com>
On Mon, Feb 3, 2025 at 9:38 PM Aaron Gray <aaronngray@gmail.com> wrote: > > Again for architectural level programming it really requires some level of > experience or experiments over time to come to solve real world problems in > a manner where they will test the tests of time in a real world > environment, rather than just applying oversimplified patterns as it > tends to do. > > For non programming tasks such as sorting through toot's for sense, or > SPAM, or whether it is another machine's output, that is quite an > interesting open question. > Here too, I tend to agree that context-rich and semantic, rather than one-size-fits-all, token-based, approaches to identifying spam, inauthentic activity, bot farms, etc would be table stakes for applying AI to pre-moderation processing. One takeaway I've seen about the DeepSeek release is that it might really be way less labor-intensive and capital-intensive than people realized to build in coarse-grained context-sensitivity and expose it to the user to create the kind of last-mile human intervention/monitoring that you describe. (Even just the UX of DeepSeek is instructive in this regard! A self-doubting, multi-answer chatbot is way more useful than an overconfident, pizza-gluing one). It's early days, though, and what DeepSeek actually spent in human hours is probably still orders of magniture beyond what the Fediverse could cobble together quickly, but it's at least directionally promising? I'm not opposed to language models in general (and I'll note there was an amazing talk about algorithmic search/network analysis at the SocialWeb track at FOSDEM[^1]), but I can definitely sympathize with a position I heard at FOSDEM in many AI contexts, that it's healthy to wait for economics (and ergonomics and economies of scale) to proceed a lot further before anyone starts bolting on today's talking paperclips to critical infrastructure... thanks for the MCP spec, that's pretty interesting! Any idea what people are using for the "robust consent and authorization flows" mentioned in the Implementation Guidance section? Thanks, __bf > >>> >>> On 2025/02/02 2:56, Bob Wyman wrote: >>> > Has anyone yet used the API's of Llama, or something else, to link >>> > ActivityPub to AI? Is there a bot that can receive and answer user >>> > queries via ActivityPub? >>> >> > If this is going to happen as it will I think its worth doing properly and > efficiently, and we should attempt to get ahead of the curve so we know > what we are facing. > > Yes this does deserve our attention ! > > Aaron > > > >>> > bob wyman >>> > >>> >>> -- >>> Daiki "tesaguri" Mizukami >>> <mailto:tesaguriguma@gmail.com> >>> OpenPGP: <openpgp4fpr:f706f9bbb8f63cde5f40298fdf5eb02be5c2542e> >>> Fediverse: @tesaguri@fedibird.com <https://fedibird.com/@tesaguri> >>> Matrix: @tesaguri:matrix.org <https://matrix.to/#/@tesaguri:matrix.org> >>> GitHub: <https://github.com/tesaguri> >>> Keybase: <https://keybase.io/tesaguri> >>> >>> >>> > > -- > Aaron Gray - @AaronNGray@fosstodon.org | @aaronngray@threads.net | > @AaronNGray@Twitter.com > > Independent Open Source Software Engineer, Computer Language Researcher > and Designer, Amateur Type Theorist, Amateur Computer Scientist, > Environmentalist and Climate Science Researcher and Disseminator. > >
Received on Monday, 3 February 2025 22:46:02 UTC