We built planes that cross oceans in hours.
We invented mRNA technology that can rapidly train the immune system against deadly viruses.
We sent humans to the Moon with computers less powerful than modern smartphones.
We created artificial intelligence once thought impossible.
Now humanity is entering its neXt era!
Aging and cancer are moving toward becoming manageable, treatable conditions. Fusion reactors are getting closer to delivering abundant clean energy. Quantum computers will unlock calculations beyond the reach of classical machines.
This is not science fiction anymore. It is engineering in progress.
Human civilization is accelerating faster than at any other point in history.
We are the first generation alive to witness the beginning of a truly post-scarcity technological age.
Microsoft has unveiled Majorana 2, its next-generation topological quantum chip. The new chip's qubits are 1,000 times more reliable than the previous generation, with a mean lifetime of 20 seconds — and some lasting up to a minute. Built using a lead-based superconductor instead of aluminum, and developed with the help of agentic AI through Microsoft Discovery, the chip puts Microsoft on track for a scalable quantum computer by 2029.
Perplexity CEO Aravind Srinivas told CNBC that the company best positioned to win the AI race long-term will be the one that maximizes "value per watt per user" — the ratio of economic output to energy consumed. "Whoever is able to maximize this particular objective, by balancing accuracy, latency, cost, privacy and intelligence all together — they're going to win," Srinivas said. His argument is that companies currently generating high revenue from expensive models are capturing short-term gains, not durable advantage. The real competition, he says, is an efficiency problem. Perplexity's answer is what it calls orchestration: a system that automatically routes AI processing to whichever model and location — cloud or on-device — best suits a given task. The company launched Personal Computer, an orchestration tool now available on both Mac and Windows, that connects to apps like Word and Outlook as well as local files. Srinivas describes the broader shift as "the data center coming to your laptop." Perplexity, last valued at approximately $22.6 billion as of January 2026, is significantly smaller than OpenAI and Anthropic by valuation — but the company has seen rapid revenue growth, with estimates suggesting it surpassed $500 million in annualized revenue by April 2026, up from $232 million in 2025. Srinivas attributed part of this growth to advances in the frontier models integrated into Perplexity's products — which include systems from Anthropic, OpenAI, and xAI, among others, as part of a multi-model approach.
#AI #Perplexity #TechNews #Energy
Wix, Block, Snap, Atlassian, and Cisco are among the tech companies that have cited AI as a primary reason for layoffs in 2026. The language is strikingly consistent: executives describe needing "smaller, flatter, faster" organizations to adapt to AI-driven change. But Paul Osterman, professor emeritus at MIT Sloan School of Management and author of the forthcoming book Disposable Workers (due August 2026), says this framing is not new. "They've been saying that for 20 years," he told Fortune. Osterman argues that AI is functioning as a "perfect excuse" for layoffs companies may have planned anyway — a phenomenon called "AI washing," which allows firms to reframe workforce cuts as innovation rather than cost reduction. Sometimes it works: after Cisco announced roughly 4,000 layoffs earlier this month alongside strong quarterly earnings, its stock rose approximately 15% — though analysts attributed the gain to both the restructuring and better-than-expected revenue results. Osterman also points to a longer-term trend: the rise of what he calls "disposable workers" — contractors, freelancers, and gig workers — which he estimates make up around 35% of the American workforce using a broad definition that includes marginal workers. Bureau of Labor Statistics data using a narrower definition shows contingent workers grew from 3.8% of the US workforce in 2017 to 4.3% in 2023 — the two figures measure different categories. "AI is a perfect excuse to justify big layoffs," Osterman said. "It makes it seem as if it's not our decision, our fault — it's the technology."
#TechLayoffs #AI #Jobs #Economy #Technology
Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop.
It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run locally with just 16GB of VRAM. It’s open and accessible for everyone to use under a permissive Apache 2.0 license.
This is all made possible by our new, unified architecture that removes separate multimodal encoders. Here’s how we did it 🧵
You read.
You watch.
You take notes.
And still forget most of it.
That’s not your fault.
Your brain was never taught how to learn.
Here’s how to fix that:
Most people use AI to save time.
The smartest founders use AI to create leverage.
This talk will change how you think about AI agents, automation, and the future of work.
Bookmark it for later.
The hardest part of building a company isn’t competition.
It’s staying committed when nothing seems to be working.
Rejection
Slow growth
Doubt
Every founder faces them.
Most founders see them as failure.
The ones who win see them as tuition.
Here’s how to build resilience: