Video

The speaker seems to have taken a lot from this video: czcams.com/video/wS4xfnALF44/video.htmlsi=Ul4Y-WJXZsWN3S8z What a shame..

Presentation is not visible!

Grounded rice + flour + steamed

⭐ *promo sm*

I really don't agree with an WEF Implant in my head. Haha.. . N o W a y !

Which one of the Gouvernements in this Young Global Leader collection of WEF puppets ? How about GOUVERNEMENT is not taking anything actions in these case?! N o w a y

Bravo !!!

Thanks, greetings from Chile

🎯 Key Takeaways for quick navigation: 01:41 *🧠 The term "artificial intelligence" was coined in 1955/1956 to secure funding, reflecting the legacy of big talk versus reality in the field's development.* 04:46 *🖥️ Automation, at its core, involves turning inputs into outputs via recipes or code, with computers executing these instructions.* 07:46 *🤖 Machine learning differs from traditional programming by learning from examples rather than explicit instructions, mimicking how humans learn.* 12:01 *📚 Data quality is paramount in automation, as data serves as the "textbook" for machines to learn from, highlighting the subjectivity and potential biases inherent in datasets.* 16:51 *🧹 Ensuring data quality often falls under no specific job role, leading to a fragmented approach and underappreciation of the importance of data cleaning and management.* 19:46 *🌐 The internet serves as a data source but reflects a skewed perspective of reality, requiring caution when using data sourced from online platforms.* 21:34 *🔍 Automation through AI/machine learning simplifies tasks to just two lines of instruction, emphasizing the subjective nature of defining goals and selecting datasets, posing both promise and peril.* 26:59 *💡 Automation shifts focus to developers crafting instructions rather than writing extensive code, emphasizing the importance of thoughtful design in creating systems that impact society at scale.* 27:28 *🤖 Automation primarily impacts developers' tasks, streamlining processes by defining objectives and providing data, though it doesn't replace traditional software development.* 29:03 *⚠️ Mistakes are possible with both humans and AI systems, but AI automation is necessary for tasks that can't be automated manually, preserving traditional development methods alongside new applications.* 31:05 *🎨 Generative AI creates plausible exemplars, not just labels, allowing for the generation of diverse outputs such as fake Picasso paintings and Gucci sunglasses, raising questions about AI's role in creativity.* 37:34 *🛠️ Regulating generative AI poses significant challenges akin to regulating physical raw materials, requiring careful consideration to avoid hasty solutions that may lead to unintended consequences.* 42:58 *🔄 The impact of AI automation on employment disproportionately affects tasks that are repetitive and digitized, potentially reshaping the career progression path and necessitating careful talent development planning.* Made with HARPA AI

lol this has aged like fine milk.

Veritas

beautiful mind

💐 'promo sm'

You cannot automate all developers out of a job but it’s insane to say you can’t automate a substantial part of them out of job. If AI can create certain webapplicaties you don’t need no more engineers only prompt people who give the instructions on what to build. Engineers in these usecases will only be there for bugfixing. On the counter side if AI can’t create your typical webapplication based solely on instructions AI sucks and we should stop talking about it. But it’s either the former or the latter that is it will replace a lot of people or it will replace hardly anybody because the tools based on it are very limited (ie they suck). To make it clear : there will be massive layoffs or it will be like no code today. It is useful in a few usecases but mostly it sucks.

Horseshit

german sounding woman trying to imitate british accent - awful

No brain questions. What to do, when the middle ranking jobs gets automated and no opportunity for the fresheners to gain the middle skills to perform the high skilled jobs? Don't worry, Be happy. Because the high skilled jobs will also get automated sooner with the advent of GPT 5 or 6.

He is such a great instructor I've ever learned from. His Python and SQL lectures are the most outstanding ones on the internet. We are here cheering you on. Keep it up, coach!

He is such a great instructor I've ever learned from. His Python and SQL lectures are the most outstanding ones on the internet. We are here cheering you on. Keep it up, coach!

I did learn also many things from Jose. He is one of the best instructors out there!

What if you have your ground truth data , how will you go about it please ?

My talk to a thousand Data Scientists in Belgrade Serbia

Loved this presentation Luc.

When you published the workbook to Tableau online, what credentials are used to connect to the SQL database?

💯 "promosm"

1956

Save the world through data

An excellent interview about open source collaboration " the biggest challenge is always cultural " Methinks I agree with that

Its such a wonderful event Lots of fun and shared learning from..... I had mucho fun.. czcams.com/video/ZRLTUfdgAyo/video.html

Steal from your friends Open collaboration always wins inbthe end

Thank you John.

Amazing teacher!

excellent !

आपपे गर्व है

👏

Legend

4:02 The video in presentation couldn't be played but here's the situation that was described: czcams.com/video/wnfiXhNVudk/video.html

Nice lecture ❤

can you share the architecture and the data domain (data mesh) that you defined?

Three wonderful gentlemen!

Genius mathematician, as all research mathematicians I know.

Much respect to Jose for providing us with high quality learning material on Udemy

🤘 *PromoSM*

Thank you Filip and Stipe! 👍🏻👍🏻

It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with primary consciousness will probably have to come first. What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing. I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order. My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at arxiv.org/abs/2105.10461

🤯🤯🤯 🤓💪🦾