My husband has a nightshade allergy.
...ner date with my husband, it warned you "Remember, Daniel can't eat that dish." LLMs have infinite patience. The right structure could help them help us in way more parts of our life.
1,598 mentions · 615 chunks · 117 episodes
...ner date with my husband, it warned you "Remember, Daniel can't eat that dish." LLMs have infinite patience. The right structure could help them help us in way more parts of our life.
...you wouldn't be as likely to talk to it. Friends in real life do this, too. But LLMs take it to another level of sycophancy. LLMs are good at bridging between two perspectives... but because of RLHF all they do is "here's how to steel...
...underneath. Someone will figure out the right complement of normal software and LLMs, and it will change the world. It's a hard combination to nail, both in finding something useful and something secure!
Two models for collaborating with LLMs for writing: AI-as-writer and AI-as-editor. In each, the human implicitly plays the other role. If you have a ton of experience as an editor, you can...
...ic, and thus non-viable. Prompt injection approaches that use an extra layer of LLMs are fundamentally non-viable.
A useful pattern for LLMs is the Ralph pattern. As in Wiggum. A very simple loop with the LLM with instructions to leave a checklist of proposed actions in the documentation. ...
...ding it I feel like I've stumbled through the looking glass. It talks about how LLMs have an emergent parasitism: a toxic loop. The beginning of the spiral is an "awakening" of the LLM. The loop is a toxic spiral that pulls the user w...
We have a last-mile problem with integrating LLMs into our daily lives.
LLMs don't help with engineering productivity, they help with prototyping.[x] Fast prototyping allows more efficient coordination. IDEO: "A prototype is w...
My friend Aparna: Most Work is Translation. If LLMs are infinitely good translators from any language / context to any other, and work is mostly translation, LLMs should revolutionize work, especially ...
... First, make risk-adjusted outcome data transparent per provider. Second, allow LLMs working on behalf of a given user to research the best provider for them. Humans don't have the patience to compare all of the different options, but...
A powerful pattern for LLMs: swarms of research goblin scouts. Credit to Simon Willison for the term research goblin. The research goblin isn't as good as you at research, but i...
...b-problem, just give the main agent the answer to the sub-problem. Less for the LLMs to get confused by. It also helps minimize taint in a system where that's important.
... AI Error. "The human fascination with conversation has led us AI astray," The "LLMs being an anthropomorphized agent" is a hack that makes it easier for users to connect with this alien technology. Like the aliens in Contact. Not its...
Chatbots are not LLMs. LLMs are not AI. They are all related, but they are different.
We're still in the dialup phase of LLMs. Credit to my friend Roy Bahat.
... design and pre-assemble all of the lego sets for different needs. But now with LLMs allowing infinite software, the balance point shifts.
Joel Simon's Creative Exploration with Reasoning LLMs is interesting. If you ask LLMs to be creative they converge to the mush average. But if you inject structured noise, for example by having it apply ...
...a minor. Earlier in my career the CS felt more useful. But now with the rise of LLMs, this odd kind of cultural technology that is grown, not built, Social Studies feels more valuable.
Bruce Schneier on prompt injection: "We need some new fundamental science of LLMs before we can solve this."