

Gemini 2.0 Flash Experimental, now with native image output, adds "D" to the word "BASE" on the T-shirt of a partygoer dressed as the RLHF shoggoth in an uploaded image:

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Gemini 2.0 Flash Experimental, now with native image output, adds "D" to the word "BASE" on the T-shirt of a partygoer dressed as the RLHF shoggoth in an uploaded image:

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I created a clone of #ChatGPT in 1 hour with #ManusAI And it's better than the original. Here's the video where I show you everything → https://youtu.be/LJ-Vv5D-D_0 In the video, I hid an invitation code to use @manusai for free, be attentive.
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Codebases are programmatically ~easy to collate into a single file. The issue is that most information is (tragically) locked in formats that were intended for uniquely human consumption – web pages, PDF files, images, videos, audio, etc. pre-LLM era tech.

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OpenAI Responses API Yesterday OpenAI released a new Responses API, including built-in tools and management of conversation state. You can now build with these features in LangChain! Try it out with `pip install langchain-openai==0.3.9rc1` Docs in

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Gemini Robotics from @Google @DeepMind: 2 new large AI models in race to make robots useful https://ft.com/content/f0b1dff8-8936-4e05-9e0f-b1bbbb40dc02 … via @ft
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It's 2025 and most content is still written for humans instead of LLMs. 99.9% of attention is about to be LLM attention, not human attention. E.g. 99% of libraries still have docs that basically render to some pretty .html static pages assuming a human will click through them.
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Working on making LangGraph/LangChain more accessible inside IDEs What is better: llms.txt or MCP?
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13. Gemini Flash can generate images.https://t.co/16boFxS7ax
— Linus ✦ Ekenstam (@LinusEkenstam) 12 mars 2025
13. Gemini Flash can generate images.
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7. Reka open-sourced Flash 3, a 21B parameter reasoning modelpic.twitter.com/bvkOL1YQ1I
— Linus ✦ Ekenstam (@LinusEkenstam) 12 mars 2025
7. Reka open-sourced Flash 3, a 21B parameter reasoning model
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6. OpenAI releases new API primitive The Responses API. Combining the simplicity of Chat Completions with the tool-use of Assistants, this new foundation provides more flexibility in building agents. Web search, file search, or computer use are a couple lines of code!