Cool paper from PwC. "Earlier is always better" is the default intuition for agent clarification. New paper claims that's mostly wrong. Goal clarification loses nearly all of its value after just 10% of execution. The team built a forced-injection framework that drops
AI
-

Exploring linear algebra and axolotls via Google AI Studio
By
–

Morning @GoogleAIStudio explorations with @fofrAI about the unexpected connections between linear algebra and axolotls have uncovered the following gems of a @MATLAB algorithm and @Nature paper:
-
ABB Integrates NVIDIA Omniverse to Train Industrial Robots
By
–
ABB #Robotics Integrates NVIDIA Omniverse to Train Industrial #Robots with 99% Accuracy
— Ronald van Loon (@Ronald_vanLoon) 11 mai 2026
by @ABBRobotics
#Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/ezp7PAnxUsABB #Robotics Integrates NVIDIA Omniverse to Train Industrial #Robots with 99% Accuracy
by @ABBRobotics #Engineering #ArtificialIntelligence #Innovation #Technology -

OpenAI’s New Venture Faces Server-Side Rendering Issues
By
–


openai's new $10b forward deployed company is so locked in they can't even bother to server side render properly (jk congrats, nice win for UK AI )
-
Google’s Advanced Gemini Omni Video Model to Feature Enhanced Editing Capabilities
By
–
GOOGLE 🔥: An upcoming Gemini Omni video model from Google is expected to be much more advanced in video editing, capable of completing tasks like removing watermarks, replacing objects in the video, and more.
— 🚨 AI News | TestingCatalog (@testingcatalog) 11 mai 2026
It is also likely that Google will release 2 versions of this model,… https://t.co/OJUOBUXjOw pic.twitter.com/lT9sDlI8LuGOOGLE : An upcoming Gemini Omni video model from Google is expected to be much more advanced in video editing, capable of completing tasks like removing watermarks, replacing objects in the video, and more. It is also likely that Google will release 2 versions of this model,
-
Challenges in Enterprise AI Adoption and Employee Usage
By
–
I know CEO-level top down tokenmaxxing is considered dumb, but what are they to do when they've exhausted 'the good way' – you got everyone licenses, did AI workshops, appointed AI champions, did AI hackathons – then you check back and adoption is 25%, of which 80% is tab
-
Leveraging Grok Imagine API for AI-Native Creative Workflows
By
–
We’re entering a world where “production quality” becomes software-native. The winners will be the people who combine creativity with AI fluency. I explored this using the Grok Imagine API from xAI and the pace of progress is hard to ignore. Watch the full video here: What
-
How Generative AI Accelerates Creative Experimentation and Business Workflows
By
–
The real opportunity is rapid experimentation. Before:
One concept = days or weeks of production. Now:
Teams can test 10 creative directions before lunch. That changes how companies approach: → Advertising
→ Product demos
→ Storytelling
→ Training content
→ Prototyping -
The Evolution of Speed and Capability in AI Video Generation
By
–
What stood out to me most is not the quality. It’s the speed. AI video systems now let creators: → Turn static images into moving cinematic sequences
→ Add or remove objects with prompts
→ Instantly change lighting, style, and environments
→ Generate video + audio together -
Generative AI Tools Transforming Cinematic Video Production
By
–
The biggest disruption in filmmaking is not better cameras.
— Ronald van Loon (@Ronald_vanLoon) 11 mai 2026
It’s this:
With tools like the Grok Imagine API from @xai, you can now create and edit cinematic video scenes with simple text prompts.
No production crew.
No reshoots.
No weeks of iteration.
Just ideas → video in… pic.twitter.com/O599W0rsKmThe biggest disruption in filmmaking is not better cameras. It’s this: With tools like the Grok Imagine API from @xai
, you can now create and edit cinematic video scenes with simple text prompts. No production crew.
No reshoots.
No weeks of iteration. Just ideas → video in
