How it works, in a nutshell:
– User provides a topic
– SERPAPI gathers relevant YouTube links
– A separate Gemini 1.5 instance listens to + summarizes each video
– A final Gemini instance takes in all of the summaries, and generates a final, comprehensive report
AGENTS
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Automated Video Analysis System Using SERPAPI and Gemini
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Gemini YouTube Researcher: AI Agent Analyzes Video Content
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Introducing `gemini-youtube-researcher` 📈
— Matt Shumer (@mattshumer_) 10 avril 2024
An open-source Gemini 1.5 Pro agent that LISTENS to videos and delivers topical reports.
Just provide a topic, and a chain of AIs with access to YouTube will analyze relevant videos and generate a comprehensive report for you. pic.twitter.com/bd0OZkvCkqIntroducing `gemini-youtube-researcher` An open-source Gemini 1.5 Pro agent that LISTENS to videos and delivers topical reports. Just provide a topic, and a chain of AIs with access to YouTube will analyze relevant videos and generate a comprehensive report for you.
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Vendy: GPT Persuasive Vending Machine for Problem Solving
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If you want to try to interact with a persuasive vending machine, here is Vendy, a little GPT I threw together. It knows that the solution to any problem is probably buying a refreshing lemonade, and is here to help. https://
chat.openai.com/g/g-LMszzSJYv-
vendy-the-friendly-vending-machine
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Social Media Algorithms and Societal Values Integration
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What happens if designers of social media platforms build societal values into their feed-ranking algorithms?
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Three AI Trends Shaping the Future: Frontier Models and Autonomous Agents
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Three trends to watch that will shape the future of what AI will mean for us:
1) The unknown capabilities of frontier models
2) Growing evidence of "superhuman" LLM performance in some areas
3) Autonomous agents
Taken together, the implications are large. -
AI Session Ends Early: 800kLOC Written, Unexpected Termination Bug
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6 hours in, it self reports ~800 kLOC written (unclear if this includes core dump output, i bet it does) and then as I was typing this suddenly ended its session, well before its 24hr max runtime per session. it's not supposed to end this early and this is likely a bug. i've
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Devin AI coding progress: 500 lines with unit testing guidance
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just checking back on it after a lovely dinner with @sgrove ~500LOC in and the unit testing seems to be guiding it well devin works on a queue so this is normal ish for about 2hrs of unsupervised ai coding
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Poe Launches Price Per Message Model for Bot Creator Revenue
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Poe introduced a new ‘price per message’ monetization model.
— Rowan Cheung (@rowancheung) 9 avril 2024
The new program will allow bot creators to generate revenue each time a user interacts with their creation.
All eyes are on what OpenAI does next with GPT rev sharing 👀 https://t.co/6KxtRL9GepPoe introduced a new ‘price per message’ monetization model. The new program will allow bot creators to generate revenue each time a user interacts with their creation. All eyes are on what OpenAI does next with GPT rev sharing
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Multi-Agent Collaboration Boosts AI Performance Beyond Model Size
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A new study from Cornell researchers just found that increasing the number of AI agents collaborating on a problem can significantly improve performance. Notably: A 13B parameter Llama model beat a 70B version on some tasks by scaling the number of agents up.
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Model Scaffolding: Structure First, Implementation Second Approach
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ok i promised screenshots- thread below. its interesting that the model does not attempt to one-shot everything top to bottom. it scaffolds out the structure with a bunch of TODOs at the end, implements basic testing, and then attempts to fix