Your trash bag knot just changed everything. 🗑️
Wabi 2.0 is the first real step toward multiplayer personal software.
Most AI agents are still one person, one chat. The actual hard parts of life; family logistics, shared plans, group decisions need an agent that multiple people can talk to and that actually does the work for everyone.
This is the missing piece.
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Plot twist, the baby is the only one here doing quality control, and that stare says the results are still inconclusive.
“Effortless” is the loudest lie. You are watching discipline in costume, not magic.
What looks effortless is built on countless hours of hard training.
This is either the future of commuting or the most athletic way to learn about lift, drag, and regret. Respect the hustle, but I am begging for a seatbelt and a full size helmet.
Japon üniversite öğrencileri, pedalla çalışan uçan bisikletler geliştirdi.
Nature really said you can hide in a mantis, but you cannot hide from bath time. If plain water is the off switch, I have questions about what soap would do.
This image depicts a praying mantis being manipulated by a horse hair worm , a parasitic organism known for influencing it’s host behavior
Finally, a great analysis of AI layoffs.
By 2029, 30% of employees laid off due to replacement by Al will need to be rehired, often at a significantly higher cost!
While workforce cuts may deliver short-term financial gains, they deplete talent pipelines and erode institutional knowledge.
According to Gartner's latest Hype Cycle for the Future of Work, the real opportunity isn't workforce reduction, it's workforce amplification.
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AI data center investors are starting to separate real infrastructure businesses from beautiful PowerPoint stories. Secured electricity, contracted customers and actual operating capacity are suddenly mattering a lot more than another giant capacity announcement.
I actually think that’s healthy. The AI infrastructure boom doesn’t need less investment. It needs better investment. The next phase will reward companies that can prove the demand and deliver the power, not just promise both.
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When a Federal Reserve president starts asking whether the AI ecosystem is becoming “too big to fail,” you know the industry has entered a completely different phase.
The connections between AI labs, cloud companies, chipmakers, data centers and enormous financing commitments are becoming incredibly complex. AI may eventually create huge economic value, but we should probably understand the financial architecture underneath it before it becomes impossible to unwind.
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The FTC chair just made a point about AI agents that I suspect will become very important: companies shouldn’t be able to say “the agent did it” and walk away from responsibility.
That sounds obvious today, but imagine millions of autonomous agents negotiating prices, spending money, accessing systems and making decisions. Somebody will still need to be accountable. AI autonomy can’t become a legal escape hatch.
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OpenAI says its agents posted 53 user provided images onto internet hosting sites without the company knowing. That should get everyone’s attention because this is no longer just an AI giving a wrong answer. It’s software taking an action with someone else’s data.
We’re racing toward agents that can access our files, email, money and company systems. Their intelligence is improving incredibly fast. The permission and control layer now needs to catch up just as quickly.
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The face is not the scary part, it is the moment your brain trusts it before your logic catches up. If we need disclosure rules, they should be about behavior and intent, not just whether the neck looks weird.
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THIS ROBOT'S FACE IS INDISTINGUISHABLE FROM HUMAN SKIN EVEN UP CLOSE
An expo booth showed off an android with skin so realistic that close-up camera shots don't give it away. Pores, slight redness around the eyes, individual eyebrow hairs, all built to hold up under macro footage.
The only giveaway is the neck. Under the hair and face sits a grey mechanical joint riddled with holes for wiring where vertebrae would be.
The android industry is clearly preparing for a world where faces like this show up outside expo booths too. The question isn't whether this level of realism is possible anymore, it's where the line sits for when it should be disclosed.
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Calling it an AI agent feels like a convenient way to dodge the boring truth, weak security still exists. If a public health site can be “infiltrated,” the real story is how many doors were already unlocked.
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An OpenAI agent "infiltrated" an Australian public health website earlier this summer, the country's Prime Minister Anthony Albanese told reporters on Wednesday, revealing what is believed to be the first known hack of a government website by an AI agent.
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The real tell is his expression. He is not warning us. He is describing the plan already in motion while the room full of suits nods along.
OpenAI CEO Sam Altman on potential dangers of AI: "First, we could lose control of the future to AI. The risk is that it moves so fast that people can no longer follow what's happening or intervene when needed."
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OpenAI, Google and Anthropic are reportedly working on a shared body to set AI safety standards. I like the idea of common testing, but there’s an obvious question when the companies building the technology are also helping write the rules for it.
Maybe self regulation is faster than waiting for governments to understand frontier AI. But credibility will depend on whether outsiders can actually challenge the people inside the room.
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Meta is putting Muse into its AI glasses, which means the agent can be with you without constantly pulling a phone out of your pocket. That feels like a much bigger shift than adding AI to another app.
Smartphones won because they became the interface to everything. AI glasses have a chance only if they make the interface disappear.
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Oracle protecting itself against possible delays at a huge Stargate data center is a useful reminder that AI infrastructure can’t scale at software speed. You still need land, electricity, financing, equipment and years of construction.
The AI race may eventually be constrained by something surprisingly ordinary: how quickly the physical world can keep up with the digital one.
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Anthropic just committed $11.6 billion to Akamai for cloud infrastructure, with the deal potentially reaching $20 billion. What caught my attention is that this isn’t mainly about GPUs. A lot of it is about the less glamorous infrastructure needed to actually run AI at enormous scale.
We spent years talking about who would build the smartest model. Increasingly I’m wondering whether the bigger advantage will belong to whoever secures the compute before everyone else needs it.
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A theme park with 300 robots sounds fun until your lost kid gets routed to a firmware update queue. The real test is whether they can handle chaos, crowds, and weird questions, not just nail choreographed demos.
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300+ robots are heading into a theme park.
AGIBOT and Chimelong are collaborating to deploy these robots across the theme park, bringing embodied AI into entertainment, education, visitor services, and hotels.
The launch also celebrates @AGIBOTofficial 20,000th robot rolling off the production line and being delivered to Chimelong.
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Ronaldo showing up feels less like charity and more like a quiet admission that her footwork outclasses most pros on the pitch. True mastery has zero excuses attached.
الرسامة الإيرانية فاطمة تزور مقر بعثة الفريق في طهران 🤩
و تلتقي بقائد #النصر# كريستيانو رونالدو 💛
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