Yeah exactly. It’s such a cool concept for a product. It doesn’t seem like oai will continue pushing the direction, (which makes sense) but I hope a startup can clone it and actually give it care, iteration and make it work and imo a lot of people would really love it. More
GENERATIVE AI
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OpenClaw Compatibility Challenges with Anthropic Models Ahead
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Yeah folks, it's gonna be harder in the future to ensure OpenClaw still works with Anthropic models.
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RWS Language Weaver AI Translation Model Powers Command
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We worked with @RWSGroup to fine-tune our Command translation model, which improved language and cultural expertise. Now, that model is the “brain” that powers RWS’ Language Weaver AI translation solution. https://t.co/0xCCwG3EU0
— Cohere (@cohere) 10 avril 2026We worked with @RWSGroup to fine-tune our Command translation model, which improved language and cultural expertise. Now, that model is the “brain” that powers RWS’ Language Weaver AI translation solution.
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VS Code extension renders AI agents as pixel-art coworkers
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Alguien creó una extensión para VS Code que convierte a tus agentes de IA en personajes pixelart.
— Nico (@nicos_ai) 10 avril 2026
Trabajan en una oficina virtual dentro de tu barra lateral e incluso caminan mientras trabajan en tu código.
Repo 👇🏼 https://t.co/Tfk3oRlRK6 pic.twitter.com/MK2TzoRQv2Someone created an extension for VS Code that turns your AI agents into pixelart characters. They work in a virtual office inside your sidebar and even walk while working on your code. Repo
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Sonnet Model Performance Issues and User Experience Improvements
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I have the same problem. Better results with Sonnet. Are they victim of their success? I’m sure they will fix.
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OpenAI Voice Mode Runs on Weaker Older Model
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I think it's non-obvious to many people that the OpenAI voice mode runs on a much older, much weaker model – it feels like the AI that you can talk to should be the smartest AI but it really isn't
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BLIP-2: Connecting Vision and Language Models Efficiently
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BLIP-2: Bridging Vision and Language Without Full Retraining
— Satya Mallick (@LearnOpenCV) 10 avril 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore BLIP-2, a powerful vision–language model that connects pretrained image encoders with large language models without requiring expensive… pic.twitter.com/EnefAwliTzBLIP-2: Bridging Vision and Language Without Full Retraining In this episode of Artificial Intelligence: Papers and Concepts, we explore BLIP-2, a powerful vision–language model that connects pretrained image encoders with large language models without requiring expensive
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Notion AI Agents Gain Advanced Customization Tools
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Notion continues to work on the "Computer" feature to expand the capabilities of its AI workforce. Notion AI agents will have access to custom Computer environments, Computer Use model selector, trusted URLs setting, and custom "scripts". > Imagine hiring dozens of AI
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Apple Intelligence as primary AI touchpoint for average users
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The gap is even wider. For many people in my friends and family circle, the main touchpoint with AI is Apple Intelligence on the newer iPhones. Many heard of ChatGPT but are not super interested in that. That's because, like you said, they used the free version at some point and
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OpenAI’s AI Reaching Research Intern Level by September 2026
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OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern.
— Jacob Effron (@jacobeffron) 10 avril 2026
This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028.
Jakub's update: "I think we're not very far from models that can work autonomously for a… https://t.co/jsmSU6cSNH pic.twitter.com/gzzyonGEF8OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern. This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028. Jakub's update: "I think we're not very far from models that can work autonomously for a couple days… and produce much higher quality artifacts on their own." Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m
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