You can divide AI into two modes: Autopilot mode, where AI automates some part of your life, or, the most powerful one, Copilot mode, augmenting human behaviour with AI, supporting you where you need it the most.

Want to read something interesting? Here's the transcript of Google's new conversational modal, LaMDA. Yes, the one that made the Google engineer believe the model was sentient. https://t.co/KHzs1IH3lR

Yes, your Honor, I'm guilty... ...of having a bunch of untitled Jupyter notebooks with snippets of Python code that I've only touched once for trying stuff...

Having access to Copilot by @github makes life so much easier. Copilot suggests code based on natural language prompts. And what's best: it's completely free for students. For non-students, there's a trial available. Want to try it out? Here's a link:

Having a strong network is your best asset when it comes to learning new skills. Often, when I'm stuck, my network comes to the rescue. Find peers that can help you, and make your life 1000% easier. Especially in a field like artificial intelligence.

I love the idea of no-code. Not because I hate writing code myself. But because it allows me to iterate fast. Starting new ventures nowadays is trial and error. No-code can help. Don't bet your time on a single horse; create a workflow for quick iteration.

Robots are the future. Not the science-fiction robots you might think of. But the ones that automate repetitive work for you. Robotic process automation is solving the real issues businesses face every day. Here's a guide to getting started:

One of the hardest things to nail is recommendation systems. Creating one is easy. The challenging part is validating whether what you made recommends the best thing. My tip? Find a group of diverse experts and ask their opinion. Opinions matter, even in AI.

With "regular" software maturing, the market is overcrowded with generic SaaS products. The only next frontier of businesses is AI. Platforms with AI at their core are booming. A good example is AlphaSense, which raised $225M 10 days ago 🤯 https://t.co/ngCm4rlyPt

Language models are getting next level 🤯 Apparently, an engineer testing Google's new conversational AI system thinks it has a conscience... With language models getting bigger Google says it only requires data to "feel" sentient Here's the full story:

I've definitely lost 30 minutes of my life just starting at DALL-E generations on @weirddalle What's your favourite generation? Mine is definitely https://t.co/KnAGTUsWHV Bringing me back to working sessions with strangers where nobody is bold enough to pick music 😂

Welp, that's enough internet for me today 🤡 The latest hype in AI land is DALL-E, a model that can generate images based on a prompt. Here's a link: https://t.co/6e3Bl1ZuSc What prompts have you tested out?

A computer is not the right space to map out a thought

A major reason I don't engage with web3/crypto/NFT in any way: The space attracts too many people wanting to make a quick buck. Opportunists. Scammers. Con artists. When you have a crowd of these people, all behind a pseudonymized identity... why on earth would you engage?

https://t.co/xOdpPfGBUa 😂

Come work for ⁦⁦@LifelyNL⁩ - we have the best April Fools jokes

Over the last couple of years, I've spent 1000's of hours building ML models. Truth is, after using dozens of models/architectures, 99% of them are a waste of time. I start most problems with 1 of 6 architectures. Here are the best models for a strong baseline 🧵

In this organisation, women's median hourly pay is 36.8% lower than men's.

“Then we made them believe crypto currencies would bring them financial freedom!”

no one asked them to compare yet they did, as if as middle Easterns we deserve/are born to suffer