From IBM technology that could extend Moore’s law 10 years to a unified theory of the dark universe, check out this week’s tech stories from around the web.
Category: internet
AI Will Eat Social Media Alive
Social media is being consumed by AI from the inside out.
Over half of all new written content online is now AI-generated, and more than half of all internet traffic is bots.
Facebook’s most-viewed images are AI slop, YouTube recommends brainrot to new users, and global content farms churn out synthetic shock content for pennies.
The platforms aren’t fighting it because engagement is engagement, whether it comes from humans or machines.
Mark Zuckerberg is calling AI the \.
Cory Doctorow on AI: The Singularity Is A Progressive Apocalypse
Fourteen years ago, Cory Doctorow told me the #Singularity is a progressive apocalypse.
I have not stopped thinking about that phrase since.
We like to imagine the future as one clean break. A line crossed. A god booted up in a server farm. Cory saw something stranger. The end of the world, sold to us as the perfection of the world. Rapture for the people who swapped faith for code.
His sharpest point was about stories. Good #ScienceFiction does not predict the future. It predicts the present. The genre is not a telescope. It is a mirror.
Re-listening in 2026, the reflection is uncomfortable.
The surveillance he warned about is now infrastructure. The platforms he distrusted now mediate almost everything we do. We still treat the internet as a glorified video-on-demand service, and we still pour everything we are onto it anyway.
FTC gives Musk the OK to acquire SpaceX alumni startup Mesh
Mesh Optical came out of stealth in February when it announced that it raised a $50 million Series A led by Thrive Capital.
Before founding Mesh Optical, the startup’s co-founders, Travis Brashears, Cameron Ramos, and Serena Grown-Haeberli, developed the optical communication links that keep thousands of SpaceX’s Starlink satellites interconnected.
The Mesh co-founders saw an opportunity to develop optical transceivers for terrestrial data centers, as light-based hardware is faster and more energy-efficient than traditional electrical-based systems.
Stanford Just Built a Quantum Computer That Needs No Extreme Cooling
Stanford researchers may have just opened the door to a future where quantum technology no longer depends on multi-million-dollar cryogenic systems.
In this video, we break down Stanford University’s groundbreaking 2025 research that demonstrated room-temperature photon-electron quantum entanglement on a silicon-compatible chip. While this is not yet a full quantum computer, it represents a major step toward solving one of the biggest challenges in quantum technology: the extreme cooling requirements that have limited quantum systems for decades.
We’ll explore how twisted light, molybdenum diselenide (MoSe₂), valley states, and silicon nanostructures work together to create stable quantum interactions without dilution refrigerators operating near absolute zero. You’ll also learn what this breakthrough means for the future of quantum computing, quantum communication, quantum cryptography, and the emerging quantum internet.
🔹 What Stanford actually built.
🔹 Why current quantum computers require ultra-cold temperatures.
🔹 How room-temperature quantum entanglement was achieved.
🔹 The role of twisted photons and valley states.
🔹 What this breakthrough can and cannot do today.
🔹 Potential impact on IBM, Google, Microsoft, IonQ, and the broader quantum industry.
🔹 The future of room-temperature quantum networks and computing.
If this technology successfully scales, it could dramatically reduce the cost, complexity, and energy requirements of quantum systems, potentially transforming quantum technology from a specialized laboratory tool into a widely deployable platform.
Subscribe for in-depth analysis of emerging technologies, quantum computing breakthroughs, artificial intelligence, geopolitics, defense innovation, and the technologies shaping the future.
Microsoft fixes AutoGen Studio flaw that enabled code execution
A vulnerability chain dubbed AutoJack in Microsoft’s AutoGen Studio interface for prototyping AI agents could let attackers manipulate an agent into executing arbitrary commands on its host system simply by visiting a malicious webpage.
AutoGen Studio is the graphical component for AutoGen, Microsoft’s open-source framework for building multi-agent AI systems. The framework allows developers to create AI agents that can collaborate with one another, use tools, browse the web, execute code, interact with APIs, and connect to external systems.
The project is very popular, with more than 59,000 stars and nearly 9,000 forks on GitHub. Microsoft notes that AutoJack’s impact was limited because the issue was addressed during development.
FINALLY! Starship’s Next Giant Leap
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SpaceX may have just dropped its biggest hint yet about what comes after Starship Flight 13. Indeed, FINALLY! Starship’s Next Giant Leap may be here as the new filings point toward an Orbital Return Demo that could mark the next major milestone on the road to full reusability. With that work continues at Starbase on Pads 1 and 2, the Gigabay, and future launch infrastructure. Elsewhere this week, we cover Falcon 9 launches carrying BlueBird satellites, Starlink, and another classified NRO mission, Cargo Dragon’s return from the International Space Station, Astrobotic’s Griffin lunar lander preparing for launch, Ariane 6’s impressive upgraded debut with its heaviest payload yet, and the dramatic demolition of historic structures at Space Launch Complex 6.
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If You Vibe-Code It, Will They Come?
We’re living in a wild moment where anyone with a decent idea can vibe-code a fully functional application into existence before Monday morning. The technical barrier to entry didn’t just lower; it completely evaporated over the weekend.
But as the digital landscape gets flooded with hundreds of thousands of new projects daily, a sobering reality is hitting the builder community hard. Code has officially become a commodity, and simply having a product doesn’t mean a damn thing if you are screaming your lungs out into an absolute void.
That is the exact pivot point I tackle in my latest piece. When vibe-coding removes the engineering moat, the only true competitive advantage left on the field is distribution, positioning, and storytelling. We have officially entered a pure attention economy where your new technical superpowers are practically useless without a distinct, human flavor.
Automated AI tools will happily burn through your budget chasing hollow vanity metrics, but they completely lack the empathy, taste, and psychological grit required to read a shifting cultural zeitgeist and build a brand that flesh-and-blood people actually trust.
The scales of power have tipped, and the era of the engineering monopoly is officially over. The future doesn’t belong to the solo builders who stop at the deployment screen, but to the AI-armed marketing generalists who know how to orchestrate the machine and command the narrative.
If you are ready to stop fetishizing the code, look past the blind algorithms, and discover the strategic roadmap for scaling from a ghost town to a thriving audience of a million engaged users, you need to read the full breakdown. The vibe-coders have built the stage—it’s time to learn how to draw the crowd.
AI is incapable of telling the truth
We worry that AI will spread misinformation, but the real problem runs deeper: AI is incapable of telling the truth at all. Philosophers Bun-Sun Kim and Hongjoon Jo draw on Foucault and Heidegger to argue that humans speak truthfully because our finite, mortal existence is at stake in every word we say. AI, lacking a body, anxiety, or a conscience, risks nothing — it just recombines the internet’s idle talk into statistically plausible text, with no self to reveal. Outsourcing our communication to AI doesn’t just degrade information; it traps us in an endless loop of crowd-sourced mimicry, and threatens our capacity for genuine thought.
ChatGPT can answer complex questions and even seem to hold conversations. But can it tell the truth?
In an era where AI can answer virtually any human question, we must examine whether AI language can truly contain truth. Since the Dartmouth Conference of 1956, we’ve witnessed dramatic technological evolution—from the AI Winter of the 1970s and 80s to today’s sophisticated language models like ChatGPT that generate remarkably human-like text. As we increasingly delegate communication to artificial, rather than human, entities, a fundamental question emerges: Can AI’s artificial language capture the essence of truth conveyed by human discourse?