Give yourself more credit. Bobby Fischer didn't wake up one morning the chess wiz that he is now, it took years of practice and failing. And we're not talking about chess either. Start prompting one agent on one task in one worktree. Spin up a second agent on a second task in a second work tree. Repeat until you hit flow state for you. It might be at three agents or thirteen. Who cares how many other people are on, get to however many is just under too many for you to manage.
one of the interesting properties of public forums like SO is that the maintainers of software packages get visibility into the problems and frustrations that their users experience
we're losing that signal when the Q&A behavior shifts into language models
What are the terms? It is not at all clear from the announcement. "part of this three-year licensing agreement", it _could_ mean the license cost is $1 billion, which Disney in turn invests in OpenAI in return for equity, and they're calling it "investment" (that's what's hypothesized above, but I don't think we know). Disney surely gets something for the license other than the privilege of buying $1 billion in OpenAI stock at their most recent valuation price.
Disney gets the opportunity to tell the board and investors that they are now partnered with a leading AI company. In effect, Disney is now an AI company as well. They haven't really done anything, but if anyone asks they can just say "of course we're at the forefront of the entertainment industry. We're already leveraging AI in our partnerships"
Yeah, I honestly think some of the language used with LoRA gets in the way of people understanding them. It becomes much easier to understand when looking at an actual implementation, as well as how they can be merged or kept separate.
Create "packages" of context for popular API & Libraries - make them freely available via public url
Keep the packages up to date. They'll be newer than the cutoff date for many models, and they'll be cleaner then the data a model slurps in using web search.
Voila, you're now the trusted repository of context for the developer community.
You'll get a lot of inbound traffic/leads, and ideas for tangential use cases with commercial potential.
You can't start fresh chats with updated context and you still need to create multiple chat in your preferred chat service and copy-paste data. But this is SO good to use with development environment through docs or MCP! Thanks for sharing
To be free and not forward credentials I built an alternative to all-in-one chatting without auth and access to search API through the web:
https://llmcouncil.github.io/llmcouncil/
Provides simple interface to chat with Gemini, Claude, Grok, Openai, deepseek in parallel
I love this, it can be very useful to have ready to use library of context data and at the same time a perfect solution to bring in new users. Thanks so much.
