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“If you do everything everyone else does in business, you’re going to lose. The only way to really get ahead is to be different.”
~ Larry Ellison
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~ Larry Ellison
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This exposes how X structures feed ranking, while keeping the data and training loop private.
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Hubble captured the fastest stellar jets ever observed
🔸 The image shows Herbig–Haro objects HH 80 and HH 81. These are shock heated gas clouds created by a young star blasting ionized material into space.
🔸 The source is IRAS 18162-2048. Its jets travel at over 1,000 km/s, the fastest stellar outflows confirmed in both radio and optical data.
🔸 As the jets collide with slower gas ejected earlier, shock waves heat the clouds and make them glow. The system sits about 5,500 light years away in Sagittarius.
High resolution image is available here
📊 @tech
High resolution image is available here
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YouTuber Alan Pan recreated three viral AI-generated videos in real life to see if human-made versions could compete.
The builds included a horse-shaped electric scooter, high-heel beer shoes, and a fully functional transparent toilet aquarium with live fish. Each project took days or weeks of real engineering, fabrication, and filming. Some were barely usable and clearly unsafe, but all were finished and published.
Results after three weeks
The problem remained. The original AI beer shoes video passed 10 million views.
The takeaway was simple. AI produces this kind of content in seconds, while humans need weeks.
Competing on volume is unrealistic.
Quality may be the only lever left.
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Amodei says software development could be automated within 12 months
🔸 Dario Amodei claims that in 6 to 12 months, AI agents will be able to handle software engineering end to end. Not just writing code, but planning, executing, and shipping systems on their own.
🔸 His core point goes further. Once agents can build software autonomously, they can also build the next generation of agents. That creates a self-reinforcing loop of development speed.
🔸 Amodei admits there are constraints around compute and training time. Even so, he expects an order-of-magnitude acceleration in progress within a few years.
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OpenAI is rolling out an age prediction system worldwide. If an account is flagged as underage, stricter limits on sensitive content are applied automatically. No manual input required.
The move ties to a bigger shift:
If the system mislabels an adult as a minor, access can be restored through Persona by submitting a selfie for identity verification. The feature reaches the EU in the coming weeks.
With about 800M weekly active users, OpenAI is quietly rebuilding ChatGPT into a regulated media platform, not just a chatbot.
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Apple is preparing a full reboot of Siri, according to Bloomberg. Internally called Campos, the project replaces the current assistant interface with a built-in AI chatbot across iPhone and Mac.
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Apple is developing a wearable AI device roughly the size of an AirTag, according to The Information. The design is thin, flat, and round, using aluminum and glass. Internally, it is treated as a new product category, not an accessory.
What’s inside:
The device is meant to perceive the user’s surroundings and interact through AI, rather than act as a screen-based interface. The project is still early, with a potential launch no earlier than 2027.
The comparison is unavoidable. Humane tried a similar concept and shut it down after weak adoption. At the same time, OpenAI is working on its own device with Jony Ive.
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OpenAI launched a robotics lab in 2025 that now has about 100 employees, according to Business Insider. The work stayed mostly out of public view while attention focused on models and products.
This is not their first attempt. OpenAI built robotic hands that solved a Rubik’s Cube years ago, then shut that effort down in 2020. Since then, the company backed robotics startups like Figure, 1X, and Physical Intelligence instead of building hardware itself.
What changed:
There is no confirmed humanoid robot project yet. For now, OpenAI appears to be learning how to train robots reliably, whether to build machines later or to supply the brains for others.
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Researchers at University of Cambridge developed Revoice, a soft fabric choker that helps people with dysarthria speak again without surgery. The device reads throat muscle signals and converts silent speech into fluent sentences in real time.
How it works:
In tests on 5 post-stroke patients, word error rate was 4.2% and sentence error rate 2.9%. Users reported a 55% increase in communication satisfaction. Unlike earlier systems, Revoice adds no delay between words.
The results were published in Nature Communications. Larger clinical trials are still needed, but the approach could extend to Parkinson’s disease and motor neuron disorders.
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The project is an interactive isometric pixel map of NYC, styled like SimCity 2000. Streets, blocks, and buildings are laid out at city scale, and you can explore it directly in the browser.
The workflow is the point:
The result is not hand-drawn art and not traditional programming either.
This is what happens when agents replace manual pipelines, even for visual world-building.
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