lmao… when you give an LLM unlimited power and an ill-defined role, it assumes the position of a shitty project manager, of course
It’s learning capabilities are clearly unrivaled
I kinda feel like GPT is if you skipped college and just went with the apprenticeship strategy but it’s apprenticeship was with Reddit posts
Good enough but every now and then has some wildly inaccurate shit sprinkled in just enough to make you question the integrity of the whole thing.
LLMs (unless implemented with general knowledge AI) will never be accurate or more than a novelty toy. It’s close to being iRobot but right now it’s just an abacus. The future won’t be about one model, it’ll be about orchestration of models or the development of model ecosystems to make a better overall symphony as the product/tool
LLMs (unless implemented with general knowledge AI) will never be accurate or more than a novelty toy.
I see Bing horribly confabulate all the time (and sometimes subsequently gaslight).
Thus I was surprised at last month’s Klarna news:
Wonder what’s going on behind the scenes.
This is the value I see in AI is letting human agents work way faster. An AI which is trained on your previous human-managed tickets and suggests the right queue, status and response but still allows the human agents to ultimately approve or rewrite the AI response before sending would save a mountain of work for any kind of queue work and chat support work
If the AI works then fantastic. It’s inevitable so it’s going to get used by companies but the issue is companies using it without understanding what it does or what it’s capable of doing.
Oh! I can do better than the LLM to write code:
// TODO (Linus Torvalds) write this app for me, kthxbye.
Copilot isn’t wrong, they are the best person for the task. 🤷
Can someone explain why April is nervous about having the username April? I don’t get it
Other people reading ToDo(April) will probably assume that feature is slated for April, the month.
