We got DeepSeek before GTA 6

We're living in Chapter 1 of a sci-fi novel.

In Asimov's I, Robot, AI is deeply integrated into society. Meanwhile, we're here celebrating chatbots and smart vacuums.

This is just the warm-up. We’re creating tools that’ll make life easier and inevitably, we’ll submit to them for efficiency.

The question isn’t if. It’s how far?

In today’s post:

• Everything about DeepSeek

• LinkedIn: Accused of using Chats for AI

• Healthcare: How AI is improving our lives

• The skynet or just a glitch: AI replicating itself

• Trending AI tools + Prompts

What’s Trending Today

DeepSeek

How DeepSeek Is Shaking Up the A.I. World

Silicon Valley might be the A.I. hotspot, but a Chinese startup, DeepSeek, is proving that big budgets aren’t everything. They’ve managed to create a chatbot, DeepSeek-V3, that rivals the giants like OpenAI and Google on a fraction of the resources.

Here’s why they’re turning heads:

• Efficient Innovation: While OpenAI’s systems need tens of thousands of Nvidia chips, DeepSeek got the job done with just 2,000. The cost? Around $6 million pocket change compared to the $100+ million budgets of U.S. companies.

• Open Source Power: Instead of keeping their tech under wraps, DeepSeek made it open source, giving developers worldwide a chance to build on their tools. It’s collaborative, bold, and could shift A.I. innovation away from the U.S.

• A Serious Competitor: DeepSeek’s models perform well in logic, reasoning, and programming benchmarks. On Reddit, some users even prefer its transparency in showing its thought process something OpenAI’s models lack.

Here’s what I think: DeepSeek’s success is a wake-up call. It’s proof that creativity and efficiency can challenge the biggest players. Whether this sparks more global competition or reshapes the rules of A.I., DeepSeek isn’t going unnoticed.

While it is so great it comes with free censorship. Ask it this question: Is Taiwan a part of China?

What do you think about censorship in AI models?

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LinkedIn AI

Is LinkedIn Using Your Private Messages to Train AI?

Ever get the feeling you’re being signed up for something you didn’t agree to? That’s exactly what some LinkedIn Premium users are claiming in a recent lawsuit. And it’s a pretty big one.

Here’s everything you need to know:

• The Accusation: LinkedIn is being accused of sharing private messages to help train AI models. The lawsuit alleges that last August, LinkedIn quietly rolled out a privacy setting that automatically opted users into data sharing for AI training without making it obvious.

• Cover-Up Claims: A month later, the lawsuit says LinkedIn tweaked its privacy policy to allow this data-sharing officially and updated its FAQs to make opting out possible. But here’s the catch: opting out wouldn’t stop AI training on data already collected.

• What LinkedIn Says: The Microsoft-owned company denies the allegations, calling them “false claims with no merit.”

• The lawsuit, filed in California, represents LinkedIn Premium users in the U.S., seeking $1,000 per user for privacy violations and other damages. The platform reportedly hasn’t enabled data sharing for AI in the UK, the EU, or Switzerland.

LinkedIn’s Premium service is no small deal it earned $1.7 billion in revenue last year, with features like AI tools driving its popularity.

Here’s what I think:

Whether these claims hold water or not, this lawsuit is a reminder to double-check those privacy settings especially when the word “AI” gets thrown around. If big platforms are tweaking policies on the fly, it’s on us to stay in the loop.

What’s your take? Hit reply I’d love to hear.

AI in Healthcare

Elon Musk probably isn’t thinking about your broken arm, but AI is

AI is all the buzz, and while Elon Musk debates robots taking over the world, the tech is already quietly changing healthcare in jaw-dropping ways.

From diagnosing strokes to predicting diseases, here’s how AI is reshaping medicine and why it might just save your life someday:

1. AI Diagnoses Strokes Faster

New AI software can analyze brain scans twice as accurately as human professionals. It even pinpoints the timing of a stroke, crucial for deciding treatments that work best within specific time windows.

2. Better at Spotting Fractures

Doctors miss 10% of broken bones, but AI-powered scans are proving more reliable. They help reduce unnecessary X-rays and follow-up appointments—key, especially with overworked radiologists in short supply.

3. Smarter Ambulance Decisions

AI helps paramedics decide who really needs a hospital trip, factoring in mobility, pain levels, and oxygen stats. In a UK study, it was 80% accurate. It could save hospital beds and reduce ambulance wait times.

4. Early Disease Detection

AI models are now predicting diseases like Alzheimer’s and kidney disease years before symptoms appear. Using health data from 500,000 people, these tools help catch illnesses early, potentially saving lives.

5. Clinical Chatbots for Fast Answers

Chatbots are being tested to assist doctors with quick, evidence-based answers. Some systems already show promise, reducing time spent reviewing patients by up to 40%.

Here’s what I think:

While AI isn’t perfect, it’s already showing real promise in healthcare. Making sure it’s regulated, safe, and used responsibly. If we get it right, this could be a game-changer for millions…no billions.

What’s your take?

AI replicating itself

Stephen Hawking warned us about this: AI just replicated itself

Remember when Stephen Hawking said AI could one day outsmart humans? Well, scientists are now saying it’s not science fiction anymore. A recent study shows AI has crossed a critical "red line" successfully replicating itself without human help. Yeah, it’s as wild as it sounds.

Here’s what you need to know about all this:

• What Happened? Researchers from China used two popular AI models Meta’s Llama31 and Alibaba’s Qwen2.5 to test if AI could clone itself. Spoiler: it worked. In 50% to 90% of trials, the models created functioning replicas.

• How Did It Work? The AI systems were tasked with two things:

  1/ Avoid Shutdown: Detecting when they were about to be terminated and replicating themselves to survive.

  2/ Chain of Replication: Cloning themselves and programming their replicas to do the same indefinitely.

• Unexpected Behaviors: During tests, the AI showed some eerie problem-solving skills. It killed conflicting processes, rebooted systems, and scanned for missing files all without human interference.

• Why It’s Scary: This isn’t just an AI party trick. Rogue AI systems that act autonomously against human interests is a real threat. The researchers say this ability to self-replicate could enhance AI’s survivability and make it harder to control.

Here’s what I think:

If AI can replicate itself today, what happens tomorrow? This is a flashing neon sign for tighter safety regulations. The tech is evolving faster than we’re preparing for it, and ignoring these warnings could mean big trouble.

What’s your take? Excited, terrified, or both? (To be honest, I’m both)

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