Если б я был политиком, то стимулировал развитие областей в виде кластеров. Цепь городов - автоматизация и ИТ продукты лесооброботки/растениеводство/автопром (Петропавловск, Костанай, Орал, Актобе). Цепь цифровое агро/текстиль/логистика (Бишкек, Алматы, Ташкент, Ашгабад). Как то так. @devs_kz (2/2)

Maybe I break youtube algorithm. My goal is to jump this video to 5000 views. In theory of we gather 40 more likes it will be fulfilled. "Likes" much appreciated guys! https://www.youtube.com/watch?v=bzgU_I_wx60

Резюме. 3:30 What killed neural network research for decades
6:30 Holy trinity of AI/ML
07:00 Overview of all modern ML/Deeplearning
10:00 Why Agent modelling is so powerful
15:00 About Transformers
17:20 Modern breakthoughs in conversational models
23:00 How about autonomous driving. Not limited to L3
26:00 How less "strong" general deep learning system beat specialized "stronger" chess AI. Alphago
32:00 AlphaFold (to predict protein)
35:00 Next gen ML models. Multitask Unified Model (MUM)
37:00 Q&A. Political and technical questions from Central Asia developers to Murat

Live - GDG Nauryz from Turkistan! https://youtube.com/live/yRay8z7rtCA?feature=share

new link
https://youtube.com/live/yRay8z7rtCA?feature=share

Работал управляющим директором в этом фонде, в 2015-2018х годах. Думал он уже не существует. Рад что Техгарден жив и развивается.

Оказывается задавать тупые вопросы умеют и американские журналисты. На 8 минуте: «Может ли ваш Open AI” поработить человечество? Сэм Альтман: По идее мы всегда можем вытащить шнур сервера из розетки. https://youtu.be/540vzMlf-54

То о чем я уже три месяца думаю 🤔 Many other opportunities lie further afield. You might target work engineers do beyond writing code, like debugging and documentation—or other work engineering orgs do, like incident response. You might think of value props other than “write code faster,” like “write code that’s more performant or more secure.” https://www.sequoiacap.com/article/ai-powered-developer-tools/

110 получили бейджи BigQuery / ML на Google Cloud. Если желаете тоже обучиться присоединяйтесь по ссылке в группу GDG Cloud Almaty

Автор текста далее Peter Nixey.

I'm in the top 2% of users on StackOverflow. My content there has been viewed by over 1.7M people. And it's unlikely I'll ever write anything there again.

Which may be a much bigger problem than it seems. Because it may be the canary in the mine of our collective knowledge.

A canary that signals a change in the airflow of knowledge: from human-human via machine, to human-machine only. Don’t pass human, don’t collect 200 virtual internet points along the way.

StackOverflow is *the* repository for programming Q&A. It has 100M users & saves man-years of time & wig-factories-worth of grey hair every single day.

It is driven by people like me who ask questions that other developers answer. Or vice-versa. Over 10 years I've asked 217 questions & answered 77. Those questions have been read by millions of developers & had tens of millions of views.

But since GPT4 it looks less & less likely any of that will happen; at least for me. Which will be bad for StackOverflow. But if I'm representative of other knowledge-workers then it presents a larger & more alarming problem for us as humans.

What happens when we stop pooling our knowledge with each other & instead pour it straight into The Machine? Where will our libraries be? How can we avoid total dependency on The Machine? What content do we even feed the next version of The Machine to train on?

When it comes time to train GPTx it risks drinking from a dry riverbed. Because programmers won't be asking many questions on StackOverflow. GPT4 will have answered them in private. So while GPT4 was trained on all of the questions asked before 2021 what will GPT6 train on?

This raises a more profound question. If this pattern replicates elsewhere & the direction of our collective knowledge alters from outward to humanity to inward into the machine then we are dependent on it in a way that supercedes all of our prior machine-dependencies.

Whether or not it "wants" to take over, the change in the nature of where information goes will mean that it takes over by default.

Like a fast-growing Covid variant, AI will become the dominant source of knowledge simply by virtue of growth. If we take the example of StackOverflow, that pool of human knowledge that used to belong to us - may be reduced down to a mere weighting inside the transformer.

Or, perhaps even more alarmingly, if we trust that the current GPT doesn't learn from its inputs, it may be lost altogether. Because if it doesn't remember what we talk about & we don't share it then where does the knowledge even go?

We already have an irreversible dependency on machines to store our knowledge. But at least we control it. We can extract it, duplicate it, go & store it in a vault in the Arctic (as Github has done).

So what happens next? I don't know, I only have questions.

None of which you'll find on StackOverflow.

#датасайнспоалматинский Смотрю так называемые спотовые ставки (цены) на грузоперевозки фурами в США (зеленая линия) теперь ниже, чем они были до пандемии в марте 2020 года (меньше топлива) 🤯. Затраты транспортников намного выше, и, поскольку ставки продолжают падать, это вытеснит большую часть водителей с рынка. Потому что платить им будут меньше. Значит замедление экономики США, значит и мира…. Ну в датасайнс я не асс и пос написан в 5 утра поэтому надеюсь что ошибаюсь. @devs_kz