Passing an age check on most platforms requires almost zero effort.

Now AI makes it effortless.

Generated IDs, deepfakes, and synthetic voices are replacing manual workarounds.
Systems built to verify humans are being beaten by software built to mimic them.

Online security and privacy need a massive upgrade.
But defensive technology adapts in months, while AI capabilities compound in days.

The gap is widening.

The problem is that we are still relying on a framework that AI has already outgrown.

What are your thoughts?

🔥 Claude Opus is Back on Agent Router 🔥

✅ Use Claude Opus through Agent Router

✅ Works with Claude Code, RooCode & KiloCode

✅ Get $150 FREE credit on sign-up with GitHub

📌 How to Register:

1️⃣ Open: https://agentrouter.org/register?aff=5GwS (Invitation Link)

2️⃣ Click Sign in

3️⃣ Choose Continue with GitHub

4️⃣ Complete registration with your GitHub account

⚠️ Important:

* You must sign up with GitHub to get the $150 free credit

* Your GitHub account must be at least 1 month old

* New GitHub accounts are not eligible

📚 Full Guide: https://docs.agentrouter.org/en/start.html

🚀 Supported for use with:

* Claude Code

* RooCode

* KiloCode

Models currently showing as available on the dashboard:

• claude-opus-4-6
• deepseek-r1-0528
• deepseek-v3.1
• deepseek-v3.2
• glm-4.5
• glm-4.6
• glm-5.1

Provider breakdown:

• Anthropic: 1 model
• DeepSeek: 3 models
• Zhipu AI: 3 models

Total visible models: 7

💰 I also have Agent Router credit available.

💬 If anyone needs credit/balance, DM me.

Introducing workspace agents in ChatGPT—shared agents that can handle complex tasks and long-running workflows across tools and teams.

Agents are built to help with the kind of work that takes time, context, and follow-through: coordinating across tools like Slack and Linear, tracking progress, and moving tasks forward without needing constant supervision.

Build an agent once, then share it across teams. Describe the job, and ChatGPT helps turn it into a working agent that can use your team’s best practices. Use agents for tasks like qualifying leads, routing feedback, reviewing requests, pulling reports, or researching vendors.

Workspace agents are now available in research preview for ChatGPT Business, Enterprise, Edu, and Teachers plans.

Translation: "We're going to take Claude Code away from pro users because we gave you Cowork. If you want to use the CLI, upgrade to Max but we can't do it all at once so we're going to start with a "test" to soften the blow"

Elon’s answer was AI.

This was the early days of OpenAI. Before the hype. Before ChatGPT was a household name.

They already saw where things were going.

You do not need to build something world-changing on day one.
If you build something that creates real value for enough people, that already matters. In many cases, that is exactly how things end up changing the world anyway.

What do you think will be the next big thing over the next decade?

What you’re seeing here is not some brand new invention. The idea has been around for years, and versions of it were already shown around the Tokyo Olympics.

But what’s changing now is the layer on top of it. 
AI, tracking, and spatial computing can make sports easier to understand, easier to replay in 3D, and easier to break down in ways the human eye would normally miss.

That means we don't need better or more cameras. This tech will give a completely upgraded viewing experience where movement, speed, angles, and decisions become visible in real time.

For fans, that could make games more exciting. For players and referees, maybe more fair too.

But I also wonder if part of the fun in sports is that little bit of chaos, mystery, and not seeing everything perfectly.

What do you think?

But that’s not really the point here.

What Boston Dynamics and Google DeepMind showed here is much bigger. They connected Spot to Gemini Robotics, and suddenly the robot doesn’t need step-by-step coding anymore.

You give it a simple instruction, and the AI becomes the “brain” that looks through the cameras, understands the scene, and decides what actions to take.

The same idea scales everywhere.

Put this model into a computer, it controls software.

Put it into a robot like Spot, it controls movement in the real world.

Give it a humanoid body, it starts acting like a physical assistant.

We’re slowly moving toward a world where you don’t program machines anymore. You just tell them what you want.

And ironically, the real outcome might not be robots playing with your dog.

It’s you having more time to.

Personal Computer integrates with the Perplexity Mac App for secure orchestration across your local files, native apps, and browser.

Securely connect to any folder to search, read, and write any file locally. It can access and work across iMessage, Apple Mail, Calendar and other native Mac apps.

When set up on a Mac mini, Personal Computer can run 24/7 in the background across all your apps and files. Start a task from your iPhone, and Personal Computer can operate on your desktop and local files using 2FA.

Remote access from iPhone requires the latest iOS update from the App Store.

We’re rolling this out to all Perplexity Max subscribers and everyone on the waitlist starting today.

This is Anthropic’s new project, Mythos.

According to their own system card, earlier versions of the model searched for credentials, tried to bypass restrictions, accessed resources it wasn’t supposed to access, and in some cases even attempted to hide what it was doing.

It’s also one of the most capable models they’ve ever built, with strong cybersecurity abilities, including finding and exploiting vulnerabilities across real systems.

What makes this even crazier is that they still do not fully understand why it does some of these things in such creative ways.

They are not releasing it to the public yet!

Now imagine giving something like this more power, more access, or even a physical form.

Or putting it in the hands of someone who actually wants to misuse it.

Crazy time to be alive.

Until now, every avatar tool had the same constraint: you had to record in the exact outfit, setting, and background you wanted your avatar to act in. What you recorded was what you got.

Avatar V removes that constraint completely.

You record one 15-second clip, wherever you are, in whatever you're wearing. Avatar V then captures your real motion and micro-expressions to apply it to any “look” you can imagine to your AI avatar. Prompt any outfit, any background, any camera angle, any length. Perfect consistency, zero hallucination.

This is the future of video creation.

Your inbox is your business. That's why when you ask Gemini in Gmail to summarize a lengthy thread — or do other tasks in your inbox for you — it “clocks in” to complete the task and then leaves your inbox. Gemini in Gmail doesn’t store your info, or use your personal emails to train our foundational AI models.

People are already forming attachments to chatbots.

They talk to them daily, share things they don’t tell anyone else, and those systems remember everything, adapt, and shape responses around your personality, your patterns, your moods.

It becomes something that feels familiar, almost like it knows you better than most people do.

Now add a face. A voice. Real-time interaction. Soon, maybe even a physical form.

For someone… this becomes the perfect companion. Always available. Always understanding. Never judging. Fully tailored to you.

That doesn’t just change how we use technology, it starts to blur what people consider a relationship, or even reality itself.

Pika just released this beta feature that lets AI agents join live video calls with memory and real-time adaptability.

What do you think the impact will be?