This #AI Researcher Says the People Building AI Don’t Understand How It Works. Here’s What Every Founder Needs to Know
by Daniel Robbins @Inc Learn more: https://
bit.ly/4cdqf1b #MachineLearning #ArtificialIntelligence #ML #MI
AI
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AI Researchers Challenge Founder Understanding of AI Systems
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Implementing AI Safeguards: Theory Versus Practice
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Kinda true and obvious, but how exactly to implement it against “AI” is anything but obvious.
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Google’s Memory Caching Solves Classic RNN Limitation Problem
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Google just solved an old RNN problem. A new paper from Google Research introduces "Memory Caching," and the idea is almost too simple to believe. Here's the problem it solves: Modern RNNs compress the entire input into a single fixed-size memory state. As sequences get
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Connected AI Systems: Integrated Workflows Across Platforms
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The shift isn’t “more AI tools” It’s connected AI across systems What stood out to me with this approach: → Pulls data from email, CRM, Slack, docs, code
→ Works across multiple LLMs, not locked into one
→ Executes workflows, not just answers questions Example: Ask in -
Connected AI Systems Create Real Competitive Advantage
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The takeaway: AI doesn’t create advantage on its own
Connected AI does If your systems don’t talk to each other, your AI won’t either I break this down in detail in the video, including real use cases. Learn More: -
AI Tools Fragmentation Creates Data Silos in Enterprises
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I keep seeing the same pattern inside large orgs: → Marketing uses one AI tool
→ Sales relies on CRM AI
→ Devs use something completely different → Data is everywhere
→ Context is nowhere So what happens? Decisions require stitching together 5 systems
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Enterprise AI Fragmentation Slows Decision Making Adoption
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Every enterprise is “doing AI”…
— Ronald van Loon (@Ronald_vanLoon) 15 avril 2026
But almost none are actually operating with it.
The real problem isn’t adoption.
It’s fragmentation.
AI is everywhere, yet decisions are still slow.
Thanks to @Adapt for partnering with me on this, because this is exactly the problem they’re… pic.twitter.com/bxL2whZU0TEvery enterprise is “doing AI”… But almost none are actually operating with it. The real problem isn’t adoption.
It’s fragmentation. AI is everywhere, yet decisions are still slow. Thanks to @Adapt for partnering with me on this, because this is exactly the problem they’re -
AI Forecasting Shapes Public Policy and Supply Chain Stability
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AI-driven forecasting is becoming structural in public policy, shaping the conditions in which enterprises plan investments and manage operations. Businesses depend on governments that act upstream. Delayed responses could spread instability in supply chains Microblog @antgrasso
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Smart Rice Factories Transform Farming in Ganzhou
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Smart Rice Factories Transform Farming in Ganzhou
— Ronald van Loon (@Ronald_vanLoon) 15 avril 2026
by @XueJia24682
#AgriTech #TechForGood #Innovation #Tech #Technology pic.twitter.com/kVD17SwpkpSmart Rice Factories Transform Farming in Ganzhou
by @XueJia24682 #AgriTech #TechForGood #Innovation #Tech #Technology -
On-Device AI Learning Preserves User Data Privacy
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Conversation data stays on your infrastructure. The model learns from your actual usage patterns