
Microsoft is exploring a deal to acquire Inception, an AI lab that recently released Mercury 2, the world's first reasoning diffusion LLM, according to Reuters. Imagine diffusion Copilot

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Microsoft is exploring a deal to acquire Inception, an AI lab that recently released Mercury 2, the world's first reasoning diffusion LLM, according to Reuters. Imagine diffusion Copilot
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My takeaway: The future of AI voice is not “speech-to-text.” It’s real-time conversational intelligence. That opens the door to entirely new workflows across enterprise software, customer support, media, and collaboration. I break it all down in the full video. Watch it here
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Another underrated capability: Natural speech generation. Most AI voices still sound overly polished or robotic. This approach adds: → Tone
→ Pauses
→ Emotional cadence
→ Conversational rhythm The result feels dramatically more human. That matters more than people
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What impressed me most is the contextual formatting layer. The model does not just transcribe speech. It structures information automatically: → Dates
→ Numbers
→ Currency values
→ Speaker separation
→ Precise timestamps That means conversations instantly become usable
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The biggest shift: AI is moving from “hearing words”
to “understanding conversations.” That sounds subtle, but it changes how enterprises can use voice AI in the real world. → Live meetings
→ Support calls
→ Podcasts
→ Streaming audio
→ Large audio archives The system
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Most AI voice systems still break the moment humans act… human.
— Ronald van Loon (@Ronald_vanLoon) 14 mai 2026
Interruptions.
Messy audio.
Multiple speakers.
People switching languages mid-sentence.
But the real breakthrough is not transcription anymore.
It’s structured understanding.
That changes everything.
A thread… pic.twitter.com/HbMAbglURm
Most AI voice systems still break the moment humans act… human. Interruptions.
Messy audio.
Multiple speakers.
People switching languages mid-sentence. But the real breakthrough is not transcription anymore. It’s structured understanding. That changes everything. A thread
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Depth Anything V2 (Part 2) — synthetic training data, sharper edges, handles glass & mirrors, deploys clean with OpenCV 5. Models from 25M params (edge) to 1.3B (max accuracy). Catch Part 1 first if you missed it. 🔗 https://t.co/2yASqyGtbE #ComputerVision #DepthAnythingV2… pic.twitter.com/FeJfILXAAe
— Satya Mallick (@LearnOpenCV) 14 mai 2026
Depth Anything V2 (Part 2) — synthetic training data, sharper edges, handles glass & mirrors, deploys clean with OpenCV 5. Models from 25M params (edge) to 1.3B (max accuracy). Catch Part 1 first if you missed it. https://
vist.ly/545vn #ComputerVision #DepthAnythingV2
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GeoSpy AI can locate a photo from a few pixels in a reflection.
— Pascal Bornet (@pascal_bornet) 14 mai 2026
No metadata. No GPS tag. No obvious landmark.
Just a tiny visual clue. And it runs in real time.
This is the kind of AI demo that feels impressive for 3 seconds…
Then deeply uncomfortable.
Because the privacy… pic.twitter.com/dmCCojpWrM
GeoSpy AI can locate a photo from a few pixels in a reflection. No metadata. No GPS tag. No obvious landmark.
Just a tiny visual clue. And it runs in real time. This is the kind of AI demo that feels impressive for 3 seconds…
Then deeply uncomfortable. Because the privacy
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Seeing Is Counting: Object Counting Powered by Computer Vision
— Ronald van Loon (@Ronald_vanLoon) 14 mai 2026
by @Ultralytics#Innovation #EmergingTech #TechForGood pic.twitter.com/BQaO9DipEa
Seeing Is Counting: Object Counting Powered by Computer Vision
by @Ultralytics #Innovation #EmergingTech #TechForGood
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just tried this out and it one-shotted* this video: "before the agent does anything"
— Yohei (@yoheinakajima) 13 mai 2026
*i generated the narrative using chatgpt and used that as a prompt. featuring: @e2b @runanywhereai @composio @mem0ai @firecrawl @browser_use @agentmail @covenantlabsai
some thoughts:
– i… https://t.co/X3RgWs9MOk pic.twitter.com/xjmXZF11HP
just tried this out and it one-shotted* this video: "before the agent does anything" *i generated the narrative using chatgpt and used that as a prompt. featuring: @e2b @runanywhereai @composio @mem0ai @firecrawl @browser_use @agentmail @covenantlabsai some thoughts:
– i