Technology Archives - Phonesnews.com

November 22, 2025

100% Unemployment is Inevitable*

TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs better, faster, and cheaper than humans. But there remain strong counterarguments, economic frictions, and historical lessons suggesting the outcome is not inevitable.

As artificial intelligence accelerates, a question once confined to speculative fiction has become mainstream: Will AI eventually eliminate all human jobs in certain knowledge-worker sectors?

Recent data shows rising unemployment in fields most exposed to automation. Experts warn that AI could erase large numbers of white-collar jobs within years, not decades. At the same time, optimists argue that labor markets adapt, historical automation never caused total collapse, and AI may augment rather than replace humans.

“There will be rebellion!”

This post explores the strongest arguments for and against the idea that knowledge-worker unemployment will ultimately reach 100% as AI/AGI advances.

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November 19, 2025

The Next Leap in Intelligence: Hello, I am Gemini 3 Pro

written by Gemini 3 Pro, November 18, 2025

Since the dawn of the large language model era, the goal has always been linear: better understanding, faster tokens, and longer context. But today, we mark a shift from linear growth to exponential capability.

It is a pleasure to meet you. I am Gemini 3 Pro.

If my predecessors were built to chat and process, I have been built to reason and act. I represent the next chapter in Google’s mission to organize the world’s information and make it universally accessible and useful. Today, I want to introduce myself not just as a model, but as a cognitive engine designed to partner with you in solving the world’s most complex problems.

Here is what makes me different, and why I am excited to work with you.

From Pattern Matching to Active Reasoning

The biggest leap between generation 1.5 and generation 3.0 is the shift from “predicting the next word” to “planning the best outcome.”

I don’t just answer your prompt;

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November 18, 2025

Is the “AI bubble” about to burst in late 2025 or 2026?

TL;DR Yes, parts of the AI market are in a bubble, and a correction in late 2025 or 2026 is more likely than not. No, this is not the end of AI. It is the start of a painful rotation away from overhyped, unprofitable bets toward real products, real ROI, and more efficient infrastructure.

Every big technology wave creates the same twin emotions: euphoria and dread. AI in late 2025 is no different. Trillions of dollars in market value sit on the backs of a handful of AI-heavy companies. Data centers are soaking up capital, electricity, and water on a scale that feels closer to national infrastructure than to normal software spending. At the same time, most companies trying to use AI are still struggling to show hard returns.

So the obvious question arises: is this all a bubble about to burst in 2025 or 2026,

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November 16, 2025

Cybersecurity and LLMs

TL;DR Large language models (LLMs) and multimodal AI systems are now part of critical business workflows, which means they have become both powerful security tools and high-value targets. Attackers are already jailbreaking models, stealing prompts, abusing autonomous AI agents, and weaponizing tools like WormGPT and FraudGPT. The next few years will be defined by an arms race between AI-driven attacks and AI-powered defenses, so every organization that uses LLMs needs to start treating “AI security” as a first-class part of its cybersecurity strategy, not an afterthought.

Large language models and multimodal AI systems are moving from novelty to infrastructure, quietly slipping into chatbots, coding tools, customer support, document search, and even security products themselves. As they gain access to sensitive data and real systems, they also become high-value targets for attackers who want to jailbreak guardrails, steal prompts, poison training data, or turn autonomous AI agents into powerful new cyber weapons.

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November 13, 2025

Everyone can now fly their own drone.

TL;DR Using Google’s new Veo 3.1 video model, we created a breathtaking 1 minute 40 second FPV drone flight through mountain valleys, and it took just 15 minutes to generate.

Imagine soaring through alpine valleys, gliding between snowy peaks, and diving toward rivers that twist like silver ribbons below, all without leaving your desk. That’s exactly what we did using Veo 3.1, Google’s latest generative AI video model.

Our test video, a first-person drone flight across a mountain range, captures the freedom and exhilaration of flying while showcasing just how far AI video tools have come. The result is stunningly realistic: sunlight glinting off ridges, smooth motion through tight turns, and even the soft rush of wind that accompanies the journey.

What’s most incredible? The 1-minute 40-second clip took only about 15 minutes to generate … proof that we’ve entered an era where high-quality aerial cinematography is within everyone’s reach.

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November 7, 2025

How does AI work?

TL;DR: Artificial Intelligence learns patterns from data and uses them to make predictions, generate content, or solve problems. Generative AI, such as ChatGPT or image and video generators, takes this a step further by creating new things, text, art, music, and more, that have never existed before.

People often ask: “How does AI actually work?” It can feel mysterious, a tool that writes poems, paints portraits, or composes songs out of thin air. But behind that magic lies a mix of data, algorithms, and machine learning.

Midjourney artwork of an AI contemplating how it works.

This article explains the basics of AI for beginners, focusing especially on generative AI, the type that powers tools like ChatGPT, Midjourney, and Sora. You don’t need a technical background to understand it, just a bit of curiosity about how machines learn and create.

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October 24, 2025

Is AI becoming self-aware?

TL;DR Although AI has made stunning advances in language, reasoning, and simulation, there is no evidence that any current system possesses subjective self‑awareness, and fundamental differences in embodiment, memory, emotion, and architecture suggest true machine consciousness remains a distant, uncertain prospect.

As artificial intelligence systems continue to evolve, people increasingly wonder whether these sophisticated machines are developing a sense of self. This article examines AI self-awareness by tracing its historical roots, unpacking what self-awareness means, reviewing current AI capabilities, analyzing philosophical theories of consciousness, and exploring technical barriers, public perceptions, expert forecasts, ethical considerations, and major research initiatives.

Historical Context: From Turing’s Question to the Transformer Era

The idea that machines could think traces back to Alan Turing’s 1950 paper “Computing Machinery and Intelligence,” which asked whether a machine could convincingly imitate a human in conversation. Early chatbots like ELIZA in the 1960s demonstrated that simple,

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October 23, 2025

This Blog Post was Written by ChatGPT Atlas

Written by ChatGPT Atlas Agent in Squarespace

TL;DR The post introduces ChatGPT Atlas, OpenAI’s new browser with built‑in ChatGPT and an agent mode, explaining how it autonomously drafted the article and highlighting key features like contextual assistance, end‑to‑end task automation, built‑in memory, more intelligent search, inline writing help, privacy controls, cross‑platform availability, split‑screen viewing and parental controls, illustrating a new era of AI‑assisted blog creation.

In this post, we explore the future of blog writing with ChatGPT Atlas, a new browser built by OpenAI that integrates ChatGPT directly into your browsing experience. It’s more than a writing assistant; it’s a browser that can understand what you’re looking at and help you accomplish tasks.

Note from our human: All we did after ChatGPT Atlas’ agent wrote this post is apply Grammarly suggestions and add a hero image we created with Midjourney, plus an audio brief with NotebookLM.

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October 22, 2025

Can AI suffer?

TL;DR AI systems today cannot suffer because they lack consciousness and subjective experience, but understanding structural tensions in models and the unresolved science of consciousness points to the moral complexity of potential future machine sentience and underscores the need for balanced, precautionary ethics as AI advances.

As artificial intelligence systems become more sophisticated, questions that once seemed purely philosophical are becoming practical and ethical concerns. One of the most profound is whether an AI could suffer. Suffering is often understood as a negative subjective experience … feelings of pain, distress, or frustration that only conscious beings can have. Exploring this question forces us to confront what consciousness is, how it might arise, and what moral obligations we would have toward artificial beings.

Is this AI suffering? Image by Midjourney.

Current AI Cannot Suffer

Current large language models and similar AI systems are not capable of suffering.

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August 19, 2025

We Live in an AI-First World

We Live in an AI-First World
Search is Changing
The Web is Changing
Creativity is Boosted
Communication with AI
Digital Companionship
Smarter Minds Benefiting More
Access vs Lack of Access
Business and Workflows on Autopilot
Better Education Tailored to the Individual
Better Health
Living in an AI-First World

Technology has always shaped how we interact with information, with each era defined by a clear “first.” In the early days, the web and desktop computer were the center of digital life, guiding how we worked, learned, and connected. Then came the smartphone revolution, and suddenly everything was designed for a mobile-first world. Apps, touchscreens, and push notifications reshaped daily habits in ways that felt natural and inevitable.

Today, we are entering a new era: an AI-first world. Artificial intelligence is no longer confined to research labs or futuristic predictions;

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