@Google@GeokenAI@antigravity@googlecalendar Google Sheets going from spreadsheets to video generation is a pretty wild product evolution. The line between workspace and creative tool keeps getting thinner.
@Google@GoogleAIStudio You casually dropped Antigravity in that list like we all know what it is. Going to need a dedicated technical breakdown on that tool next.
@coinbureau Bidding against your own merchants with fake bids to squeeze them for an extra 50% is pure villain behavior. Selling on there is basically a mafia protection fee at this point.
@teslaownersSV Logging a billion miles in 24 days makes the data moat completely untouchable. Meanwhile legacy auto is still out here struggling to make automatic rain sensors work reliably.
@XFreeze Adding a billion miles in 24 days makes the data moat completely untouchable. Meanwhile legacy auto is still struggling to make their automatic rain sensors work.
AI IN 2026 IS GETTING REALLY GOOD AT LOOKING
INTELLIGENT. And that's becoming a bigger problem than AI simply being dumb. Humanoid robots have realistic faces. Agents can run entire workflows. Models can write and deploy code. But underneath the demos, something very different is happening.
We didn't get Skynet.
We got something much stranger.
Invisible agents running in the background.
Robots entering factories.
AI writing code and moving money.
And occasionally... everything just stops working.
The real AI race is about building something powerful enough to act independently, and reliable enough to trust.
The same thing is happening with AI agents. We're moving away from one giant prompt toward networks of micro-agents. One plans. One researches. One writes code. One executes. From the outside, it looks like one superintelligence. Underneath, it's a very complicated chain of dependencies.
We're moving from AI that PRODUCES outputs
to AI that TAKES ACTIONS. And that's a completely different game. The smarter these systems become, the more we want to let them operate independently. But every step toward autonomy also increases the cost of failure.
Walk through a robotics expo and it's easy to believe we're almost living in the future. Perfect skin. Eye movements. Human-like expressions. Robots walking around like they belong there. Then you see them glitch outside the controlled environment. That's where reality gets interesting.
AI IN 2026 IS GETTING REALLY GOOD AT LOOKING
INTELLIGENT. And that's becoming a bigger problem than AI simply being dumb. Humanoid robots have realistic faces. Agents can run entire workflows. Models can write and deploy code. But underneath the demos, something very different is happening.
@Google Using 10 seconds of context instead of just the final second should make extensions feel much less like stitched clips. The consistency boost is the real upgrade.
@akwarobo The footwork is what sells it, anyone can script a swing but syncing that with real time balance and trajectory tracking is a completely different engineering problem.
@IntCyberDigest paying two hundred bucks just to hit a hidden weekly throttle is wild. all these ai companies are quietly nerfing their max tiers while pretending the resources are infinite
@pankajkumar_dev pushing out a brand new version to fix the previous one just proves they are treating the public api like a beta testing environment. we are literally paying to debug