Being able to reliably generate revenue with every message allows developers creating bots with significant GPU inference costs or API costs to build sustainable, profitable businesses, and we are excited to see the ecosystem this enables. (3/4)
GENERATIVE AI
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Poe Implements Compute Points Pricing Model for Users
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With price per message, users will see the price expressed in terms of the same compute points that they are used to on Poe, and points will count toward their existing daily or monthly budget as a free Poe user or paid subscriber. (2/4)
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Poe Hackathon Creator Monetization System Price Per Message
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We’re excited to announce a Poe hackathon on April 6th around our upcoming creator monetization system: price per message! Attendees will get first access to the ability to set a per-message price for their bots and generate revenue every time a user messages them. (1/4)
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GPT-4 Debate Effectively Reduces Conspiracy Theory Beliefs
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Unexpected & big: it is famously hard to get people to stop believing in conspiracy theories, but… A controlled trial finds a 3 round debate with GPT-4 arguing the other side robustly lowers conspiracy theory beliefs and the effects persist over time, even for true believers.
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Passage Retrieval with Generative Models for Question Answering
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Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
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GPT-4 Clinical Reasoning: Redefining Exclusively Human Capabilities
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Interesting bit from a thread by an author of the recent JAMA paper showing that GPT-4 is good at clinical reasoning, the whole thread is great, but I wanted to highlight this. There are a lot of things we thought were exclusively human until a year ago, and now we know are not.
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Unified Decoder Models Gaining Adoption in Modern AI Systems
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yeah, you're right; i think some people are doing everything in one big decoder model these days though
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Are Encoder-Decoder Models Like T5 and BART Still Relevant?
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is anyone still using encoder-decoder models (T5, BART, etc.)? if so — for what?
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Using instruction manuals as prompts for Claude and GPT-4
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Instruction manuals often make great prompts. Organizations should try feeding their processes & procedure documentation to Claude 3 or GPT-4 and seeing how far it gets them in producing good outputs.
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RAG without vectors: LLM keywords search FTS alternative
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Right: you can implement RAG without any vectors at all – get an LLM to spit out some keywords search phrases to run, then run those against a regular FTS search engine (or even with a bunch of SQL LIKE queries) and paste the results back into the context