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someone just open-sourced their own neuro-sama. and it might be better than the original. it's called airi. a fully autonomous ai companion that speaks with you in real time, joins you in minecraft and factorio, chats through discord and telegram, and comes with a live2d/vrm avatar. runs entirely on your machine. → real-time voice chat and speech recognition → animated avatar with automatic blinking, eye tracking, and idle movements → persistent memory between sessions → local inference through webgpu, no api calls required supports 30+ llm providers, including openai, claude, gemini, deepseek, ollama, groq, mistral, xai, and local models. switch the brain with a config change. uses native cuda and apple metal for real gpu acceleration. 17.5k stars. 101 contributors. 46 releases. completely free. open source.
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A tip for Claude MAX users!!! If you’re hitting Claude Code’s usage limits too quickly, try /usage to see where most of your usage is going.
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A tip for Claude MAX users!!! If you’re hitting Claude Code’s usage limits too quickly, try /usage to see where most of your usage is going.
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WE NOW HAVE NANO BANANA FOR AUDIO And it’s fully open source, with models and a demo on GitHub/Hugging Face. Here’s what you can do: - Clone a voice in seconds - Edit audio as easily as text - Adjust timbre, tone, and emotion - Remove accents - Clean up or isolate voices - Add coughs, laughter, and more Tencent also released a Flash variant that’s smaller and faster. So many potential uses for this.
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🚨Breaking: Anthropic engineers revealed a simple trick they use internally. Claude agents can now remember ways to improve themselves. A file called: AGENT_LEARNINGS.md The AI updates this file each time it makes a mistake. Inside it: • mistakes it has made • patterns to avoid • better ways to approach tasks Before beginning new tasks, the agent reads the file. Result? The agent improves over time without retraining the model. This is known as external memory scaffolding. Expect to see this pattern in every serious AI agent system.
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I went looking for an AI voice tool that holds up on long audio. Ended up with a clone of my own voice reading a full tutorial script. Slight problem: it sounds more real than I do! Most tools I tried sounded great for the first few seconds, then the tone drifted the longer they talked. Cartesia held up. It needed 10 seconds of my voice for the clone, and it can take up to 60 to keep my accent closer. Recorded the whole process so you can try it too.
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🚨Breaking: Anthropic engineers revealed a simple trick they use internally. Claude agents can now remember ways to improve themselves. A file called: AGENT_LEARNINGS.md The AI updates this file each time it makes a mistake. Inside it: • mistakes it has made • patterns to avoid • better ways to approach tasks Before beginning new tasks, the agent reads the file. Result? The agent improves over time without retraining the model. This is known as external memory scaffolding. Expect to see this pattern in every serious AI agent system.
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MICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS. it's called skillopt. skills that improve themselves the same way you train an ai model. no more guessing what changes will actually help your prompts. the base model runs the task, then an optimizer evaluates the output and rewrites the instructions itself. → seperates successful paths from failures to find actual improvements → auto-rejects any edit that doesn't exceed your benchmark score → beats hand-crafted prompts and optimizers → zero model lock-in, the skill transfers to any model 100% free. open source.
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MICROSOFT JUST OPEN-SOURCED SELF-EVOLVING AGENT SKILLS. it's called skillopt. skills that improve themselves the same way you train an ai model. no more guessing what changes will actually help your prompts. the base model runs the task, then an optimizer evaluates the output and rewrites the instructions itself. → seperates successful paths from failures to find actual improvements → auto-rejects any edit that doesn't exceed your benchmark score → beats hand-crafted prompts and optimizers → zero model lock-in, the skill transfers to any model 100% free. open source.
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Simplifying AI retweeted
microsoft quietly open-sourced one of the best ai data analysis tools out there. it's called data-formulator. connect any source, csv, postgres, bigquery, even a live url, then build charts with a mix of drag-and-drop and plain english. the ai agent writes the sql and transforms underneath and hands back a chart you can actually edit, not a code dump. > drag fields onto x/y/color and it builds the chart > anchor a cleaned result so follow-ups don't drift back > branch any chart to explore a variation > connect live data with auto-refresh bring your own model key and run it locally.
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microsoft quietly open-sourced one of the best ai data analysis tools out there. it's called data-formulator. connect any source, csv, postgres, bigquery, even a live url, then build charts with a mix of drag-and-drop and plain english. the ai agent writes the sql and transforms underneath and hands back a chart you can actually edit, not a code dump. > drag fields onto x/y/color and it builds the chart > anchor a cleaned result so follow-ups don't drift back > branch any chart to explore a variation > connect live data with auto-refresh bring your own model key and run it locally.
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Simplifying AI retweeted
My mornings used to start with 2 hours of scrolling for AI news. Now it starts with a list already waiting in Slack. I teach AI and run a newsletter with a small team. My first move was asking Viktor for a recap when I needed one. It helped, but I was still the one deciding when to look. So we made research his standing job. He watches the sources overnight, flags what matters, and skips what we've covered. We read the list and pick what runs. Teams still doing the weekly scan by hand spend their best hours on the least creative part of the job. Chatbots answer. Copilots assist. Employees run workflows for you. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. In partnership with Viktor #AIemployee #AIresearch
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There's an open-source home robot vacuum you can actually build yourself. it's called oomwoo. > runs on a raspberry pi > 2d lidar mapping, ros2 navigation > native home assistant integration > no cloud dependency, no vendor lock-in worth noting: > build instructions aren't out yet > details like the anti-tangle brush design come from outside sources > total pricing undecided 100% open-source.
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There's an open-source home robot vacuum you can actually build yourself. it's called oomwoo. > runs on a raspberry pi > 2d lidar mapping, ros2 navigation > native home assistant integration > no cloud dependency, no vendor lock-in worth noting: > build instructions aren't out yet > details like the anti-tangle brush design come from outside sources > total pricing undecided 100% open-source.
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