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Open Standards Measurement - Carbon, Energy & Water specification #carbon #energy #water #standard #opensource . A snippet of my talk on open standards at Open Source Summit Prague.
- videoAI agent identity: your biggest security gap in 2027 #Trends2027 #TechTrends2027 #CyberSecurity
Your AI agents are acting on behalf of real people, with real access, using credentials built for humans, not machines. When something goes wrong, can you even say which agent did it? A growing share of breaches is expected to trace back to exactly this:…
🪔 Celebrate the Light. Protect the Future. 🌍✨ Diwali is a celebration of light, hope, happiness, and togetherness. This year, let's make our celebrations even more meaningful by embracing a greener, more sustainable future. A Green Diwali isn't about…
For years, AI got better by training on the human internet. Now the internet is filling with AI-generated content, so the next models increasingly learn from the last ones. Copy a copy enough times and quality degrades. It's called model collapse, and it's…
After the phone, the next screen may not be one you hold at all, but a display worn in front of your eyes. Smart glasses in 2027 put information and AI into your view, hands free, always on. The shift isn't a new gadget. It's that the camera and microphone…
The price of raw AI capability is collapsing. Strong models are everywhere, open ones are catching up, and what cost a fortune last year is close to free this year. If the model is a commodity, it can't be your advantage, because your competitor rents the…
What if the future of Agentic AI is not millions of permanent digital workers, but agents that are created for a specific objective, do the work, and then disappear? In this episode, I introduce the idea of Disposable Agents: AI agents created around a…
Robots used to need a programmer for every task. Now they learn by watching, which is why humanoid robots are finally moving from demo videos into warehouses and shop floors. The barrier stopped being can it do the task. It became what you're willing to hand…
What if the future of Agentic AI is not millions of permanent digital workers, but agents that are created for a specific objective, do the work, and then disappear? In this episode, I introduce the idea of Disposable Agents : AI agents created around a…
Here's the uncomfortable part: encrypted data stolen today can be stored and cracked later, once quantum computers are strong enough. So for some of your data, the breach has already happened. You just can't see it yet. Anything that must stay secret for a…
Your biggest AI deployment probably isn't the official one. It's the tools your people already use quietly, pasting company data into whatever works, with no approval and no record. That's shadow AI, and banning it doesn't remove it. It just drives it…
This one sounds like science fiction: renting computers made of living or synthetic cells, running in the cloud. The reason it made the list is energy. Silicon can't scale AI's power demand forever, and biological networks compute at a tiny fraction of the…
As AI makes content easy to produce, the useful question shifts from how something looks to where it came from. A new layer is emerging: a kind of receipt attached to an image, a video, or a document that records how it was made and by what. Think of it as a…
First AI answered questions. Then it took actions. In 2027 it starts transacting: booking, buying, negotiating, and paying on your behalf. Convenient, until your agent buys the wrong thing, or the right thing at the wrong price. The hard question isn't…
Most AI knows language. It doesn't know that a glass pushed off a table falls. World models give machines a feel for space, time, and cause, so an agent can picture what happens before it acts. This is the piece robotics and self-driving were missing. The…
The idea is simple: build an app for one job, then delete it the moment that job is done, instead of carrying it for a decade. Cheap to spin up, cheap to kill. The catch is what gets left behind. Every disposable app still leaves data, access, and…
What AI automates becomes measurable. What stays human, the judgment, the taste, the relationship, is hard to count. So the human work turns invisible in your metrics right as it becomes the thing that sets you apart, and what you can't measure, you tend to…
Exponential change rewards keeping your options open, so leaders hedge, pilot, and wait. But a moat is built by committing, and endless optionality means you never build one. At some point flexibility stops being smart and starts being an excuse not to…
The plan is sensible: let AI take the drudgery so your best people do higher-value work. But sometimes the drudgery was the craft they loved, the part that made the job theirs. Strip it out and you can quietly remove the reason they stayed. Automating the…
AI optimizes toward what already works, then shows you more of it. That feels efficient, but it quietly narrows the field: you stop meeting the odd option, the outlier, the thing that could have beaten the best you know. Optimization and discovery pull in…
When expertise has a short half-life, hiring for what someone knows today is buying a depreciating asset. The durable trait isn't current knowledge, it's how fast someone relearns when the ground shifts. The best hire may not be the one who knows the most…
Adopting AI for convenience is easy, and convenience quietly becomes reliance. Then the tool changes, prices jump, or it goes down, and you find your team can no longer do the thing without it. Resilience erodes so gradually that no one notices until it's…
When AI compresses every cycle, the pull is to optimize for what pays off now. But the things that compound slowly, trust, brand, deep skill, relationships, were exactly the ones a competitor couldn't rush. Trade the slow bets for speed and you swap a durable…
AI handles the common case beautifully. But the rare case, the exception, is where the real risk and value sit, and handling it well takes practice on the common case. Automate the routine entirely and your team slowly loses the feel for the moment the…
As AI decisions get more complex, "why did it do that" gets harder to answer. But accountability doesn't move: you still own the outcome. That's the gap, being responsible for a call you can't fully explain, to a customer, a regulator, or your own team. Which…