The biggest misconception? Speed = progress. In reality: → Teams are innovating faster than they can govern
→ Outputs are inconsistent and hard to trust
→ Risk is increasing quietly in the background Without a solid data foundation, AI lacks context. And without context,
@ronald_vanloon
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Speed is not progress without solid data foundation for AI
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The illusion of scaling AI without control erodes business value
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Everyone thinks they’re scaling AI. Most are just scaling chaos. What I’m seeing, including in conversations with @collibra
, is a dangerous illusion → faster experimentation
→ more pilots
→ zero control The gap between AI ambition and actual business value is widening. -
The Impact of Latency on AI Deployment and Business Performance
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Here’s the problem with most AI setups: → Data is sent to the cloud
→ Models process remotely
→ Decisions come back with delay That delay is latency. And in operations, latency slows performance, limits responsiveness, and impacts business value. -
Why AI projects fail in production environments
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Many AI projects don’t fail because of bad models.
— Ronald van Loon (@Ronald_vanLoon) 13 mai 2026
They fail because of where the AI runs.
That’s the part most teams overlook, and why “working AI” in the lab doesn’t translate into real operations.
Here’s the breakdown…@TMobileBusiness Partner pic.twitter.com/pKlAl0VE6hMany AI projects don’t fail because of bad models. They fail because of where the AI runs. That’s the part most teams overlook, and why “working AI” in the lab doesn’t translate into real operations. Here’s the breakdown… @TMobileBusiness Partner
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Next AI audio wave: controllable, consistent, expressive, trustworthy
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My takeaway: The next wave of AI audio will not be about sounding human. It will be about being controllable, consistent, expressive, and trustworthy. Watch the full video for the breakdown. Where do you think directed AI voice will create the most value first, media,
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AI voice use cases for podcasts, training, and storytelling
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Think about the use cases: → AI podcasts with distinct hosts
→ Training simulations with realistic dialogue
→ Storytelling with emotional range
→ Assistants that sound more natural
→ Multi-speaker conversations where every voice has a personality This is not just -
Using Audio Tags to Guide AI Speech Expressiveness
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The old limitation was not clarity. AI voices were already clean and understandable. The real limitation was control. Most AI speech sounded like it was reading a script. Now, with audio tags, we can guide how the AI speaks, not just what it says. That changes the creative
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Google Gemini 3.1 Flash enables expressive AI voice performance
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AI voice is no longer just text-to-speech.
— Ronald van Loon (@Ronald_vanLoon) 13 mai 2026
It is becoming text-to-performance.
With @Google’s Gemini 3.1 Flash TTS, you can now direct an AI voice almost like an actor:
Tone.
Emotion.
Pacing.
Delivery shifts mid-sentence.
Here’s why that matters… pic.twitter.com/khSiU8knkfAI voice is no longer just text-to-speech. It is becoming text-to-performance. With @Google
’s Gemini 3.1 Flash TTS, you can now direct an AI voice almost like an actor: Tone.
Emotion.
Pacing.
Delivery shifts mid-sentence. Here’s why that matters… -
Study Observes AI Replicating Itself in the Wild
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‘No one has done this in the wild’: study observes #AI replicate itself
by @AishaKDown @guardian Learn more: https://
bit.ly/4dc5Ngv #CyberSecurity #ArtificialIntelligence #Infosec #RogueAI -
Multimodal AI System Fuses Vision, Depth, and Tactile Sensing
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Multimodal AI #Robot Fuses Vision, Depth, Tactile Sensing, and Language Understanding
— Ronald van Loon (@Ronald_vanLoon) 12 mai 2026
via @ZappyZappy7
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/RAvFmdNxbCMultimodal AI #Robot Fuses Vision, Depth, Tactile Sensing, and Language Understanding
via @ZappyZappy7 #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology