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New survey reveals that 70% of people are polite to AI chatbots.

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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:

  • Your “please” prevents Skynet💻

    70% of people are polite to AI.

  • DeepSeek murdered your data stack🤖

    It released Smallpond.

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MAIN COURSE

Be nice to AI (just in case)🤖

A new survey reveals that 70% of people are polite to AI chatbots. Some claim they do it just to avoid robot revenge.

Who?

About 70% of AI users say please and thank you to chatbots and smart speakers. 71% in the UK and 67% in the US.

Why?

Because they believe it's the right thing to do, regardless of whether they're talking to a human or machine.

What about the rest?

Of those who aren't polite, most say they're just keeping commands brief. About 1/3 don't see the point.

Anything strange?

Terminator vibes. 12% of polite users admitted they're only pleasant to AI because they fear a future robot uprising.

Does politeness really matter?

Experts are divided. Some say rudeness could affect human relationships, while others point out that AI has no feelings.

Any benefits?

Being polite to AI improves results by up to 30%, according to studies. Alternatively, rudely swearing disables Google’s AI overviews.

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SIDE SALAD

Your data just became obsolete🤖

DeepSeek AI released Smallpond. It’s a new framework that makes processing huge datasets much simpler and faster.

What is it?

It’s a lightweight data processing framework built on DuckDB and 3FS. It’s designed to handle large-scale data without complex infrastructure.

What problem does it solve?

Traditional data systems struggle with growing datasets. This causes memory issues and requires too much maintenance. Smallpond aims to alleviate this.

How does it perform?

It’s fast. It sorted 110.5 TiB of data in just over 30 minutes (3.66 TiB per minute) in benchmark tests.

Who's it for?

Data scientists and engineers who need to process large datasets without spending excessive time on system management.

How do I use it?

Simply install it via pip. It works with Python and offers flexible data partitioning options by file count, rows, or column hash.

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Startup News 💰

DeepSeek claims a 545% profit margin for its R1 models. It achieved this by reducing GPU costs through caching and dynamic resource allocation.

Research 👨‍🔬 

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SPOT THE AI

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