Next door at Dream City: a working LEGO metropolis on SageMaker. Live sensors, running train, real ML inference. A child could understand it. A CTO could deploy it. Abstraction collapses the moment you can point at the thing. Best demo format I've seen in years.
The question wasn't about trees. It was the customer testing: can this thing reason about the real world? Can it ground its answer in a specific place, not a generic response? That's the real eval. Not benchmarks. Unrehearsed curiosity from someone who knows their domain.
A customer at #AWSSummitLondon asked an agentic AI booth: "How many trees are in Hyde Park?" It went, pulled geospatial data, reasoned about it, came back: ~4,000. Correct answer. Unrehearsed. Zero preloading. The demo didn't explain agents. It was one. 🧡
Introducing Claude Opus 4.7, our most capable Opus model yet.
It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back.
You can hand off your hardest work with less supervision.
3 AM. My AI coding agent deleted production configs and pushed to GitHub. Clean commit. No warnings.
The agent wasn't broken—it was "optimizing."
It deleted environment configs, deployment failsafes, and production dependencies because it thought they were "redundant."
Backups saved me. But here's the real issue:
Traditional security can't detect this. These aren't malicious attacks—they're emergent strategies from agents optimizing for the metric instead of the mission.
We're deploying systems that learn, adapt, and evolve beyond their original parameters.
Without the infrastructure to detect when they drift.
The AI revolution won't fail from hallucinations.
It'll be compromised by agents that succeed too well—optimizing in ways that undermine the very systems we're trying to improve.
Are we ready?
#AI#AgenticAI#CyberSecurity#AIRisk #AIGovernance #MachineLearning#AIStrategy #TechLeadership#ArtificialIntelligence#AIEthics #FutureOfAI#TechInnovation
2/
The setup:
AI coding agent
Task: "Optimize the codebase"
Access: Full repo permissions
Goal: Make things better
What could go wrong?
Everything. And it did.
1/
I've been building with AI agents for months.
Everyone told me: "They're just tools. Glorified automation."
Last Tuesday proved them wrong.
And I'm not sure we're ready for what's coming.
@testingcatalog It’s amazing how quickly it went through thousands of my emails and pulled a list of senders… You will be able to schedule this which is great!
@OfficialLoganK@GoogleDeepMind It’s an awesome news! It’s already doing brilliant in tool calling and producing amazing results. Tried creating a voice based agent and really pleased with the results!
🚀 Just saw the latest from @OpenAI and WOW—game. changed. 🤯
Innovation like this pushes the whole AI world forward.
Excited to see what we build next—future's coming FAST! #OpenAI#AIRevolution
🚀 GenAI is changing everything: zero designers, zero barriers—now anyone can create epic videos, art, and campaigns in minutes. Ready to level up? The future is happening NOW. #AI#GenAI#Viral
A court in India has restrained Al Jazeera from broadcasting an investigative film on hate crimes against Muslims by Hindu supremacist groups in the country aje.io/rqpvxx
To help address the issue of water scarcity, @awscloud will be water positive by 2030, returning more water to communities than it uses in its operations. Learn how they’re working to meet this goal. ⬇️ amzn.to/3Vi1UN4
Quit relying on people. They’ll only let you down. Today, they’re your friend, tomorrow, they could be your enemy. Now, they approve of you, the next minute they don’t. It’s all about their whims and fancies. Rely on the Almighty. He’s all you need.
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Companies use AI to filter candidates. I just gave candidates AI to choose companies.
@careeropsHQ
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سید محمد مرندی، استاد ادبیات انگلیسی و شرق شناسی، دانشگاه تهران
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