Discovering https://t.co/VZFMiwpNOq thanks to @onurbon "..intertwine human insights and artificial intelligence to grapple with complex policy dilemmas. ...policymakers, citizens, and AI can engage in a collective discourse. " https://t.co/CGH2tZXQBl
A YC batch-mate was quoted 16k from a consultant for a custom AI invoice processor
Their intern built it in 2 hours on Gumloop
GPT-4o now:
-Analyzes any receipt sent to their Gmail
-Extracts vendor + amount
-Categorizes it
-Adds it to... See more
Hope springs eternal & inspiration runs deep.✨
⿻Plurality is my passion & now it’s my mission.🎯
Read @henshall_will's take on my life & @TIMEs, post-@TAIWANmoda plans & new role as a defender of global democracy.🌍
Let’s #FreeTheFuture🖖 — together!... See more
We just shipped two new features to our console that I think are going to completely change prompt engineering with Claude.
-Prompt generator: Claude writes your prompts for you.
-Variables: Easily inject external info into your prompt.
Let’s walk through how they work in five... See more
Instead of treating AGI as a binary threshold, I prefer to treat it as a continuous spectrum defined by comparison to time-limited humans.
I call a system a t-AGI if, on most cognitive tasks, it beats most human experts who are given time t to perform the task.
More details:
Why Chat With PDF Is Hard And How ChatLLM Gets It Right
Chatting on long docs is hard because most LLMs other than Gemini don't have a large context.
However, even with Gemini's 1M context length, in-context learning is hard, and if you stuff the doc in the context, it doesn't do a good job.... See more