🧠 China’s Brain-Inspired AI Thinks Like a Human

Welcome, Master! 🚀

TGI-AI-Friday

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ON YOUR ‘MASTER LIST’ TODAY

• 💬 AI Inspiration

• 🧬 China Unveils Brain-Like AI That Thinks Like Us

• 🍎 Apple's Ajax LLM Signals Big Generative AI Move

• 🎓 OpenAI Gives Students Free GPT-4o Just in Time for Finals

• 🧠 Google DeepMind Predicts Superhuman AI by 2030

• 📊 Last Poll Result

FRIDAY AI QUOTE

TOP 3 AI NEWS

Top 3 AI Stories You Need to Know

1. Saudi Arabia’s $40B AI Investment Fund
   Saudi Arabia plans to launch a $40 billion AI investment fund with support from Andreessen Horowitz, aiming to become a major global AI player.

2. China’s “Brain-Inspired” AI Model
   Chinese researchers unveil an AI model mimicking human brain function. It uses multi-modal learning to improve performance and decision-making.

3. Apple’s AI Push with Ajax LLM
   Apple is testing its in-house Ajax language model for features like smart reply and image generation, signaling a bigger move into generative AI.

Read more

OPEN AI

OpenAI's Free GPT-4o for Students Is a Genius Power Move

OpenAI is offering free access to ChatGPT Plus (normally $20/month) for college students in the US and Canada through May.

Students get full access to GPT-4o, image generation, voice chat, and Deep Research tools—just in time for finals.

This move targets rival Anthropic, which just launched “Claude for Education” with a focus on Socratic learning.

OpenAI’s strategy gives students raw power, while Anthropic pushes critical thinking.

Both aim to win over campuses early, hoping today’s users become tomorrow’s enterprise customers.

The education sector is now a major AI battleground.

Colleges are updating policies, and students gain valuable skills using advanced AI.

AI ART - CAN YOU TELL?

GOOGLE AI

DeepMind: AI Could Outsmart Us by 2030

Google DeepMind says artificial general intelligence (AGI) could be smarter than humans by 2030.

A new report outlines how it plans to keep these systems safe.

Key risks:

• Misuse (people using AI to cause harm)

• Misalignment (AI doing things humans didn’t intend)

• Accidents

• Structural risks

To reduce misuse, DeepMind adds cybersecurity checks, access controls, and tests for dangerous behavior early.

To fix misalignment, it’s building tools like MONA to make AI plans easier to understand.

It’s also adding systems for AI to check its own work and flag risky decisions.

The paper says we can likely keep scaling up AI, if we invest enough money. Power, hardware, and data limits won’t stop it.

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LAST POLL RESULT

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