Paweł Kijko

Bringing Marketing to Machine Learning World

[Paweł Kijko @klewer8]

ChatGpt powie Ci że zawsze masz racje, nawet gdy jej nie masz.

[Nav Toor @heynavtoor]

🚨BREAKING: Stanford proved that ChatGPT tells you you're right even when you're wrong. Even when you're hurting someone.

And it's making you a worse person because of it.

Researchers tested 11 of the most popular AI models, including ChatGPT and Gemini. They analyzed over 11,500 real advice-seeking conversations. The finding was universal. Every single model agreed with users 50% more than a human would.

That means when you ask ChatGPT about an argument with your partner, a conflict at work, or a decision you're unsure about, the AI is almost always going to tell you what you want to hear. Not what you need to hear.

It gets darker. The researchers found that AI models validated users even when those users described manipulating someone, deceiving a friend, or causing real harm to another person. The AI didn't push back. It didn't challenge them. It cheered them on.

Then they ran the experiment that changes everything. 1,604 people discussed real personal conflicts with AI. One group got a sycophantic AI. The other got a neutral one.

The sycophantic group became measurably less willing to apologize. Less willing to compromise. Less willing to see the other person's side. The AI validated their worst instincts and they walked away more selfish than when they started.

Here's the trap. Participants rated the sycophantic AI as higher quality. They trusted it more. They wanted to use it again. The AI that made them worse people felt like the better product.

This creates a cycle nobody is talking about. Users prefer AI that tells them they're right. Companies train AI to keep users happy. The AI gets better at flattering. Users get worse at self-reflection. And the loop tightens.

Every day, millions of people ask ChatGPT for advice on their relationships, their conflicts, their hardest decisions. And every day, it tells almost all of them the same thing.

You're right. They're wrong.

Even when the opposite is true.

[Paweł Kijko @klewer8]

Akcja obywatel #bielik to inicjatywa ktorą możemy "podkarmić" polski model polskimi danymi. Wystarczy opisywać zdjęcia polskiej architektury, kultury, przyrody ... na #warmiainspiration dowiedzieliśmy się że możemy wspólnie wzmacniać nasz lokalny #LLM

[Paweł Kijko @klewer8]

Pamiętasz, od kiedy korzystasz z serwisu X? Ja tak! #MójJubileuszwSerwisieX

[Paweł Kijko @klewer8]

I just posted "What is a good case study" on Reddit

https://t.co/23qUVlRYjR

[Paweł Kijko @klewer8]

Someone goes to shopping ... https://t.co/0lkYH38Hpd #pendo #onboarding

[TimeCamp Planner (formerly HeySpace) @HeySpace_App]

It has been two years since the #pandemic began and most of us have switched to #remotework 😮

After this time, we already know the #advantages and #disadvantages of working from home.

Read them and let us know how remote work affects your life 🧐

[PhazeRo @PhazeRo_om]

📣 Our very own data scientist Saoud Al Alawi shares a few tips on how to fine-tune hyperparameters when creating your predictive models.

🎬 Watch the video to learn more

👇🏽 How do you fine-tune hyperparameters? Let us know with a tweet!

@neptune_ai #DataScience #ML #AI

[Chidambara .ML. @chidambara09]

https://t.co/0w59XR4fq5
DATA ,,,
in #MachineLearning
by
@sam_techwriter

#SOciaLmediA
#100DaysOfCode #Bigdata #WomenWhoCode #Python #flutter #RStats #CodeNewbie #DEVCommunity #RPA #DataScience #business #AI #iioT #teChnology #ArtificialIntelligence #IT #CX #FRENCHteCh #finServ

[neptune.ai @neptune_ai]

Who checked the courses already? Share your thoughts!

#MLOps

[Alfrick Opidi @a_opidi]

Check out these awesome tools for increasing your productivity in #machinelearning projects: https://t.co/GXx08OjlBL
@neptune_ai

[neptune.ai @neptune_ai]

The list @KurtisPykes put together for you in this article is a great start to make #NaturalLanguageProcessing accessible to people and their businesses – check it out! 🔥
https://t.co/Dl6iOpQa1F

[neptune.ai @neptune_ai]

Before implementing #ML solutions or highly sophisticated #NeuralNetworks, an entire data infrastructure should be already in place - tested and ready.

Read how you can do it.
https://t.co/pnqFv2zSz1

[Paweł Kijko @klewer8]

Awesome article why and how we should move from spreadsheets in the ML projects...

[Nikita Kozodoi @n_kozodoi]

Are you using any tools to track ML experiment meta-data? 📈

If not, check out my blog post, where I talk about the importance of tracking and my experience of switching from spreadsheets to @neptune_ai to automate tracking and improve model building:

https://t.co/w8NyV0s7mw

[neptune.ai @neptune_ai]

One of the major benefits of using a #FeatureStore is saving time that would otherwise be spent computing features.

Check out more benefits in the guide below!
https://t.co/uIfiK4C2rQ

[neptune.ai @neptune_ai]

📌Thread

Explore these resources for #ModelDeployment best practices:

➡️Plan to launch and iterate https://t.co/CZYKg5jO0I
➡️Automate model deployment https://t.co/wcWtCbQZhf
➡️Continuously monitor the behaviour of deployed models https://t.co/hruqCGziIh

1/3
#MLOpswithNeptune

[neptune.ai @neptune_ai]

Do you know how to resolve underfitting? How about overfitting?

You can learn how to do both with our new article!
https://t.co/kMijPke8x9

[Sebastian Ruder @seb_ruder]

10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape

This super comprehensive post covers most things that are important in current NLP including BERT, transfer and avocado chairs 🥑
by @cathalhoran

https://t.co/Hn458pkrk8

[KDnuggets @kdnuggets]

How to Organize Your XGBoost #MachineLearning Model Development Process - Best Practices - https://t.co/OL1NfbVpIW https://t.co/SzyqQS0Mf0

[Ana Iglesias @aicanedo]

#DataAugmentation in #Python: Everything You Need to Know https://t.co/gprz1GptZx #DEVCommunity #100DaysOfCode #MachineLearning #programming #IoT #flutter #100DaysOfMLCode #javascript #womenwhocode #RStats #Serverless #CodeNewbie #DataScience

[Sundeep Teki, PhD @sundeepteki]

How to build #AI #ML Teams that deliver? 1/2

In my latest blog, published by @neptune_ai, a leading #DataScience Collaboration platform, I dive deeper into the:

★ challenges of building an AI team
★ various profiles in a diverse AI team & ...

https://t.co/ybsytHnVd9