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  • Perplexity launched a free version of Deep Research.

Perplexity launched a free version of Deep Research.

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Hello again, human brain, and welcome back to your daily munch of AI news.

Here’s what’s on the menu today:

  • Free AI > OpenAI's 200-buck plan💸

    Perplexity launched free Deep Research.

  • AI code = Future nightmare💻

    Don’t fire your programmers yet.

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MAIN COURSE

Your AI research is free💸

Perplexity launched a free version of Deep Research. The goal is to challenge OpenAI's $200/month service.

What can it do?

It automates research by scanning sources and creating reports in under 3 minutes. OpenAI's takes 5–30 minutes.

How good is it?

It scored 21.1% on the Last Exam test. It beats Google and Grok but trails OpenAI's 26.6%. Claims 93.9% accuracy on fact-checking.

What's free?

There’s limited daily queries for free users. Paid subscribers get unlimited access.

Any issues?

Oh, yeah. Dow Jones and the New York Post are suing Perplexity over “massive freeriding” of news content. Starting revenue-sharing deals.

What's next?

It’s coming to iOS, Android and Mac soon. This could force OpenAI and Google to cut prices.

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SIDE SALAD

Your AI codebase will collapse💻

What's the warning?

Companies dumping coders for AI will face security nightmares, broken systems, and no one left to fix them.

Why is it dangerous?

  • New coders won't learn real engineering

  • AI can't fix its own bugs or security holes

  • No one will understand how systems actually work

Who wins?

Expert programmers who avoided big tech. They'll charge a fortune to fix AI-created messes.

Who loses?

Companies betting on AI to replace developers. They'll desperately try rehiring fired coders.

What's the real problem?

AI can generate code but can't think like engineers or handle real-world chaos.

YOUR DAILY MUNCH

Think Piece 🧠

36% of professions use AI for at least 1/4 of their tasks. Anthropic’s study shows professionals use AI to aid with their job rather than fully replace it.

Startup News 💰

Apple picked Alibaba to bring Apple Intelligence to China. This is after failing to reach a deal with DeepSeek or ByteDance. The goal is to boost iPhone sales in China.

Research 👨‍🔬 

SynthDetoxM — a multilingual detoxification dataset by prompting modern LLMs to rewrite toxic texts into non-toxic versions across German, French, Spanish, and Russian.

OREAL — a reinforcement learning framework that relies solely on success-or-fail rewards for math problem solutions.

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