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An inspiration engine for ideas
We went to OpenAI's office in San Francisco yesterday to ask them all the questions we had on Quivr (YC W24), here is what we learned:
1. Their office is super nice & you can eat damn good croissant in SF!
2. We can expect GPT 3.5 & 4 price to keep going down
3. A lot of people are using the Assistants API to build their use cases
4. It costs ... See more
1. Their office is super nice & you can eat damn good croissant in SF!
2. We can expect GPT 3.5 & 4 price to keep going down
3. A lot of people are using the Assistants API to build their use cases
4. It costs ... See more
Feed | LinkedIn
AI is a long-term vision for Hats - For now they’re more focused on what is a role for a dao - Hats is narrowly focused on: what does a dao contributor need to do great work. - Eg - based on your hat, you should be able to parse the discord and see the relevant info to help you do your work
Rehash: A Web Podcast • S3 E6 | DAO Decentralization Thesis & Artificial Intelligence w/nintynick
The two most important problems (at least how I am thinking about them currently), are:
Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .
Figuring out how you formally validate and verify... See more
Finding a rigorous scientific framework for how different agent skills, personalities, and instructions combine to be most capable for different problems (think of this as social management science for AI agents) .
Figuring out how you formally validate and verify... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Could they use this model—they would dub it the “pseudo-count”—to motivate an agent to seek these novel states?
Brian Christian • The Alignment Problem

Codon Digest: Agents Design Proteins
readcodon.com
Fine-Tuning for LLM Research by AI Hero
This repo contains the code that will be run inside the container. Alternatively, this code can also be run natively. The container is built and pushed to the repo using Github actions (see below). You can launch the fine tuning job using the examples in the https://github.com/ai-hero/llm-research-examples pr... See more
This repo contains the code that will be run inside the container. Alternatively, this code can also be run natively. The container is built and pushed to the repo using Github actions (see below). You can launch the fine tuning job using the examples in the https://github.com/ai-hero/llm-research-examples pr... See more
GitHub - ai-hero/llm-research-fine-tuning
Ok, so the rumor about OpenAI Orion is that it's "100 times more powerful than GPT-4".
Let's forget that this is ill-defined, and a rumor. It implies gruesomely superhuman generalist ability.
The tech media describes this potentiality like so:
"The model’s development builds on lessons from OpenAI’s past efforts to make interactions with AI more relia
... See more