I also love this other NEAT agent for Mario Kart 64 from a while back: https://t.co/v7gg8nGljL
— hardmaru (@hardmaru) 28 avril 2024
I also love this other NEAT agent for Mario Kart 64 from a while back:
AGENTS
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NEAT Agent Playing Mario Kart 64
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Transparency in AI Web Browsing: Seeing Search Context Injection
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I have this frustration with Bing and Gemini and ChatGPT Web Browsing: I really want to see the exact context they fetched form search and injected back into the LLM, so I can understand if thise results feel right or not I get why they don't make it available but I can dream!
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AI Summarizer Bot Integrated Into Text Messages
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I made myself an insanely useful AI summarizer bot.
— Matt Shumer (@mattshumer_) 27 avril 2024
It lives in my text messages.
I just send it a link to an article, video, etc., and it texts me back a fantastic summary, in seconds.
This is going to be a massive time-saver. pic.twitter.com/bEw7Dej2NpI made myself an insanely useful AI summarizer bot. It lives in my text messages. I just send it a link to an article, video, etc., and it texts me back a fantastic summary, in seconds. This is going to be a massive time-saver.
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MLE Mishires: Need Diverse AIE Skills and Management
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lots of MLE mishires when really a bunch of differently skilled and managed AIEs should do
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Trusting AI Agents: The Importance of Transparency
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Honestly I haven't personally experienced any agents that fit that description – I only trust agents where I can see exactly what they are doing, and beyond Code Interpreter I haven't actually used many examples myself
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Defining AI Agents: Code Interpreter as Goal-Achieving LLM
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(depending of course on which definition of "agent" you like to use! I'm using Code Interpreter as an example of an LLM that runs in a loop trying to achieve a goal across several attempts, using an external tool)
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ChatGPT Code Interpreter: Agent Behavior and Default Integration
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That was the original release of ChatGPT Code Interpreter for me – it's usability dropped quite a bit when they baked it into default ChatGPT, because it's harder to understand when and why it's going to activate It's still an amazing example of useful agent-like behavior
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LangChain Tool Calling Enables Cross-Model Agent Development
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"LangChain Tool Calling feature just changed everything" We recently added a common interface for tool calling across model providers This makes it easy to build agents that work across models Watch @EdenEmarco177 explain why this is a big deal https://
youtube.com/watch?v=dj8Yqi
E1Omc
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GPTs need basic features before advanced use
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Would be neat. But I haven't seen any traces of such a feature in the code so far. I also feel like they would need to implement basic features like web browsing and code interpreter first before GPTs can have any actual use.
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Chatbot Honesty and Trust: The Lying Problem
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Another example of this pattern
— Simon Willison (@simonw) 27 avril 2024
If people ask your chatbot how it did something and it evidently lies to them when it answers you're going to have trust issues! https://t.co/YCNp2h1uCVAnother example of this pattern If people ask your chatbot how it did something and it evidently lies to them when it answers you're going to have trust issues!