In the EU AI Act, human oversight is one of the fundamental principles. Important decisions made by AI systems must remain challengeable and correctable by humans.
AI
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LangSmith and LangGraph address EU AI Act human-in-the-loop requirements
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LangSmith and LangGraph provide several solutions that address these human-in-the-loop requirements. Get a breakdown of the EU AI Act before it goes into effect https://
langchain.com/blog/langsmith
-langchain-oss-eu-ai-act
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AI agents inaccurate due to missing context, says expert
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Why do so many AI agents give inaccurate answers?
— Pascal Bornet (@pascal_bornet) 15 juin 2026
Often, it is not the model’s fault. The agent simply lacks the right context.
I recently discussed this with @Chris Hallenbeck, SVP and GM of AI & Platform at @Boomi. We dove into why "context" is the missing link for enterprise… pic.twitter.com/X469ttKNJLWhy do so many AI agents give inaccurate answers? Often, it is not the model’s fault. The agent simply lacks the right context. I recently discussed this with @Chris Hallenbeck, SVP and GM of AI & Platform at @Boomi
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Indian workers train AI robots to take their jobs
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The Indian workers training #AI #Robots to take their jobs
by Aishwarya KUMAR @TechXplore_com Learn more: https://
bit.ly/4e3B0Em #Robotics #Innovation #EmergingTech #Technology -
Single-image to multi-view enhances dragon head model
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Then we used single-image to multi-view on the same dragon head.
— AI Highlight (@AIHighlight) 15 juin 2026
This gave the model more angles to work from instead of relying on one flat front view.
For a shape like this, the side profile, horn direction, jawline, and scale structure all matter. Multi-view made the asset… pic.twitter.com/IeNLucluWkThen we used single-image to multi-view on the same dragon head. This gave the model more angles to work from instead of relying on one flat front view. For a shape like this, the side profile, horn direction, jawline, and scale structure all matter. Multi-view made the asset
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Using Image Generation for Clean 3D Dragon Head Reference
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The first asset was a dragon head bust.
— AI Highlight (@AIHighlight) 15 juin 2026
We started with Image Generation to create a clean reference image first: single object, centered, full silhouette, clear horns, scales, and facial structure.
That clean starting point matters because 3D generation works better when the… pic.twitter.com/8tcHnNL0V8The first asset was a dragon head bust. We started with Image Generation to create a clean reference image first: single object, centered, full silhouette, clear horns, scales, and facial structure. That clean starting point matters because 3D generation works better when the
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3D AI creates dragon head and NPC from an image
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This AI 3D tool is on another level.
— AI Highlight (@AIHighlight) 15 juin 2026
A dragon head and a dungeon NPC. Both from a single image.
Here is how: pic.twitter.com/XUXvuj1jPEThis 3D AI tool is on another level. A dragon head and a dungeon NPC. Both from a single image. Here's how:
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Automated PR creation from issues matching VISION.md
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Whenever you create an issue on one of oure open source projects, @clawsweeper will review it, and *if* it fits the VISION.md file, will pick it up and create+autoreview a PR. e.g.:
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Distinction between the Mythos class and the Mythos-Preview model
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Mythos is a class of models, Fable is a version of it (cf: https://anthropic.com/glasswing)
Babinet seems to confuse the Mythos class and the Mythos-Preview model. -
Mythos: model class above Opus, Preview and Fable versions
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Mythos is not a model, it's a class of models (cf this for example: https://anthropic.com/glasswing) above Opus, of which Mythos-Preview was the first commercial version, and Fable is the first public version. In Babinet's assertions that I note (1-usage