Amir Kadić

[Amir Kadić @kaditj]

@benwal @LeilaHormozi What do you mean?

[Amir Kadić @kaditj]

@ShimulDash85283 Great lecture. I don't know any easier to understand proof of perceptron convergence.

[Amir Kadić @kaditj]

@ShimulDash85283 If it refers to a vector, the norm is its length.

[Amir Kadić @kaditj]

Wonderful overview of the major types of matrices.
Full document at https://t.co/jREke6YK7o
#linearalgebra #matrices

[Andrew Ng @AndrewYNg]

Some people today are discouraging others from learning programming on the grounds AI will automate it. This advice will be seen as some of the worst career advice ever given. I disagree with the Turing Award and Nobel prize winner who wrote, “It is far more likely that the programming occupation will become extinct [...] than that it will become all-powerful. More and more, computers will program themselves.”​ Statements discouraging people from learning to code are harmful!

In the 1960s, when programming moved from punchcards (where a programmer had to laboriously make holes in physical cards to write code character by character) to keyboards with terminals, programming became easier. And that made it a better time than before to begin programming. Yet it was in this era that Nobel laureate Herb Simon wrote the words quoted in the first paragraph. Today’s arguments not to learn to code continue to echo his comment.

As coding becomes easier, more people should code, not fewer!

Over the past few decades, as programming has moved from assembly language to higher-level languages like C, from desktop to cloud, from raw text editors to IDEs to AI assisted coding where sometimes one barely even looks at the generated code (which some coders recently started to call vibe coding), it is getting easier with each step.

I wrote previously that I see tech-savvy people coordinating AI tools to move toward being 10x professionals — individuals who have 10 times the impact of the average person in their field. I am increasingly convinced that the best way for many people to accomplish this is not to be just consumers of AI applications, but to learn enough coding to use AI-assisted coding tools effectively.

One question I’m asked most often is what someone should do who is worried about job displacement by AI. My answer is: Learn about AI and take control of it, because one of the most important skills in the future will be the ability to tell a computer exactly what you want, so it can do that for you. Coding (or getting AI to code for you) is a great way to do that.

When I was working on the course Generative AI for Everyone and needed to generate AI artwork for the background images, I worked with a collaborator who had studied art history and knew the language of art. He prompted Midjourney with terminology based on the historical style, palette, artist inspiration and so on — using the language of art — to get the result he wanted. I didn’t know this language, and my paltry attempts at prompting could not deliver as effective a result.

Similarly, scientists, analysts, marketers, recruiters, and people of a wide range of professions who understand the language of software through their knowledge of coding can tell an LLM or an AI-enabled IDE what they want much more precisely, and get much better results. As these tools are continuing to make coding easier, this is the best time yet to learn to code, to learn the language of software, and learn to make computers do exactly what you want them to do.

[Original text: https://t.co/HdI3Jb9HmF ]

[Victor @victor_explore]

This is how you can broadly classify Machine Learning:

[Amir Kadić @kaditj]

@Sajad_Ai_ Excellent free resources for a solid foundation:
https://t.co/NGoQM2BCFi
https://t.co/7ElnVAqsCp
https://t.co/6OJmET1BGf
https://t.co/4cNgN5ERPG
https://t.co/8XMQZqpnlg

[Amir Kadić @kaditj]

The earth is locally flat.

[Amir Kadić @kaditj]

@DominikTornow @awscloud @AzureFunctions @Camunda @Infiniticio @orkesio @PrefectIO @temporalio Performing any sort of I/O.

[Shane Parrish @shaneparrish]

One of the biggest keys to success at anything hard is believing that you can figure it out as you go along.

Because most hard things can't be figured out in advance they never start.

As Picasso observed, "To know what you are going to draw, you have to begin drawing."

[Amir Kadić @kaditj]

@_JamesWard Can be used to comment on many new language features...

[Amir Kadić @kaditj]

You need only one fork to eat spaghetti. There you go, dining philosophers problem solved.

[Amir Kadić @kaditj]

@SenSanders Sample size:
🇺🇸328,239,523
🇩🇰5,822,763

[Amir Kadić @kaditj]

https://t.co/2Qh3qMmY3N

[Brian Roemmele @BrianRoemmele]

It was 1987 the legendary genius @OfficialAlanKay demonstrated the astonishing 1964 RAND Tablet.

This came out of project Sketchpad from the 1950s using the timeless GRAIL OS.

With no keyboards, writing recognition & more.

Anyone—can program.

1964.

A legend showing—a legend:

[The Stoic Emperor @TheStoicEmperor]

Creative work often requires the creation of a problem to fix.

This is why writers emphasize the liberation of messy first drafts.

Our problem-solving skills are activated by the obvious flaws and solutions leap suddenly to mind.

The results may look like pure inspiration.

[Amir Kadić @kaditj]

From https://t.co/gvNZdoTouL

[Brian Roemmele @BrianRoemmele]

Consider: millions of years ago our antecedents gave a massive sacrifice of their left hemisphere.

We lost a tremendous amount of short term memory and replaced it with Broca’s, Wernicke & the phonological loop.

But why?

So we can—talk.

Thus chimpanzees can do this—we can’t:

[cchantep @cchantep]

Release 0.19.2 of #reactivemongo (#scala #reactive driver for #mongodb): minor fixes & benchmarks going forward release 1.0; https://t.co/c6E7ritRVw