AI HYPE - Explained by Computer Scientist || El Podcast EP48

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Join El Podcast Host, Jesse Wright, in a thought-provoking conversation with special guest Dr. Emmanuel Maggiori (computer scientist) as they dissect the reality of AI applications amidst the prevailing hype. Drawing from his extensive experience in the tech industry, Emmanuel sheds light on the nuanced challenges and ethical considerations surrounding AI implementation. The discussion navigates through real-world examples, illustrating the importance of practical, problem-solving approaches over exaggerated claims. Listeners are encouraged to reevaluate their understanding of AI's capabilities and explore ventures that offer tangible value. Tune in for a candid exploration of the intersection between AI, business, and genuine human needs.

Subscribe now and join us for this engaging and informative episode!

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CHAPTERS
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00:00 Intro/Start
01:01 Tech Jobs are Overstaffed
10:02 The Boundaries of AI, Machine Learning and Self-Driving Cars
19:22 Bill Gates, Elon Musk & Decoding the Motives of Tech Giants
23:57 From Chat GPT to Skynet
30:01 Career Paths in the Age of AI
40:26 Unpacking AI Research Biases
43:36 AI Girlfriends
48:34 Good Enough vs. Excellent Work: Thriving Amidst AI Transitions
58:44 AI Fears: Surveillance & Censorship
01:05:30 Amazon Fresh and AI Deception
01:12:13 AI…More Fantasy than Fact
01:19:48 Investing in Real Solutions

Special Thanks to Dr. Emmanuel Maggiori
BOOK: Smart Until It's Dumb: Why artificial intelligence keeps making epic mistakes (and why the AI bubble will burst)

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#elpodcast #elpodcastmedia #TechIndustry #AIReality #PracticalAI #EthicalAI #RealWorldApplications #TechHype #AIChallenges #Entrepreneurship #InvestmentAdvice #BusinessSolutions #ProblemSolving #AIInnovation #EmergingTech #TechEthics #HumanOversight #AIvsHype #AIInvesting #PragmaticAI #AIAdvancement #AIUnderstanding #artificialintelligence
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I have worked in Tech all my life and I have never seen someone be so honest about what the industry is actually like as an engineer or developer good work

mr.fetching
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I have been a Software Engineer since 1991 when I graduated college. I have spent the last 20+ years in the defense industry. I can tell you, developing real-time, mission-critical, safety-critical Software and Systems is much more rewarding than the commercial space. Most projects I have worked on have well written requirements, good software process, tools, testing and validation. I have develops many really good projects, and real technology and worked HARD most of the time. Not all projects are successful, but I found DOD work to be much more rewarding, challenging and pushes the limits of technology much more than commercial development.

newhampshirelifestyle
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A recently retired software developer here. I've only seen hard working teams. I've worked in the games industry, bioscience, broadcasting, CAD/CAM, startups. The problem I faced was too many hours depending on the company and culture.

careymurray
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I knew a woman who worked at Xerox for many years. She was assigned to 'monitor' a few lines of code (and adapt them if necessary) for a single line of copiers. She only had to do something when any new bugs were found and it was rare. She ran her own business from her office there.

ohsweetmystery
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I worked very hard and intensly in all my tech jobs. Often in Saturdays and Sundays. I'm software engineer. I'm exhausted.

gmdtvh
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I work as a contractor. At one gig, they tried to upgrade ssh, and their system failed. So, they were told by the vendor it would be a year long, offshore project to upgrade. But, the client thought they were losing technical people, and they decided to take this project on themselves, and not "offshore". So, they spent a month hiring contractors, etc. 3 hours into the first day, we found the bug. After that their system worked. It was painful. I got paid for 11 days. As a sorta weird reality, management was embarrassed, and was angry at the ones whom pointed out the year old project they authorized, was a one week project. Everyone was actually angry.

normbograham
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Once you learn the REAL story of the Luddite movement, you will be proud to be labeled a Luddite. It was about protecting the quality of fabric products made in a literal "cottage industry" verses centralized industrial automation. Luddite attitudes may yet save us from A.lgorithmic I.mpersonation.

arxaaron
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Its so funny that you think this is unique to the tech sector. Most people are loitering, talking to nice colleagues and producing nothing and its the same in all departments that dont produce physical products.

OTISWDRIFTWOOD
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There is no single experience in tech. If you work for an enterprise, software, SaaS, consulting, or small business you will see similarities and difference. Even within organizations, there are people who do all the work 60 hours a week, and there are people who take 2 hour lunches, play ping pong for 3 hours, and leave early because they have nothing to do. Don't let this one take define the entire industry.

bitmanagent
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Man, what universe are these guys living in? I had 20 years of hard death marches and 60-hour weeks. Nothing but working my butt off.

josiah
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we have a self driving floor cleaner at work. we have QR codes posted all over where we can drive up to the QR code and scan it in training mode and manually drive the scrubber as it cleans to learn the rout for the next time it scrubs. The downside of driving on it's own is it does not know the difference between a more saturated dirty spot on the floor or a mild spot on the floor. Or the difference between dirt or a rug and can run over the rug and get it caught in the drivers that scrub the floor. I link my phone to the machine so when I run it on auto it gives me a play by play. To put it simply... A machine I have to chase around multiple times to hit the reset button because it went off track or it thought something was in its way and does not know what to do.

tincanpf
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I work in tech and I’ve been working nonstop for about 25 years. Inefficiency comes from management leading us in a bad direction, but we never stop working. We have tons of technical debt that we can address during lulls in new projects. We should be spending more time on upgrading skills.

tromboneface
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I am a software engineer and I agree with the idea that 'agile' does not always ensure efficient software development. At my job we have daily standup meetings where we just give a quick status of what we did the prior day and plan to do today. We also have weekly 'sizing' meetings where the team estimates time for all 'stories'. A simple 1 line code change is usually estimated to take 24 hours or more. Stories that require weeks or months many times are estimated to take 2 or 3 days. I enjoyed the 'waterfall' methodology much better than 'agile'.

brdp
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What about a "self" driving car that is really just a large front camera where someone in India is "virtually" driving?

mattjsherman
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I used to work as an art director for a small indie game studio and honestly I left my job and started doing freelance because of exactly the same reason. It got to a point where the games were just focused on marketing and sales, my input to it became solely relevant to just make it marketable and "current" rather than creating something interesting which was what drove me to become an artist in the first place. I now do a heck of a lot more work as a freelancer than I ever did and enjoy pretty much every bit of it. I honestly get a lot of projects because people generally want a human to interact with and tell their ideas and want input from a human who understand their idea on a similar level. So I think most people have already realized that the whole Gen AI art thing is just not working and probably will never satisfy their requirement for "art". The only thing I have to add from my experience is that being a human and communicating with others on a human level as to what they want along with the expertise in your field is pretty much the order of the day.

loonu
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WOW, I have been working for the wrong companies. I have been in IT for 30 years and a developer for 20 plus. At all the companies I worked for I put in at least 50 plus avg of hard code developing a week. Many times over 60 hours and many many all nighters on tight deadlines. I guess those companies need a 'real' tech manager or director. I do agree about scrum, it can easily slow the process down unless you have a strong scrum master. I am currently an IT director and ensure my team stays busy in 'meaningful' work. Help get me work at one of these companies and I will set things straight lol.

rogerbruce
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What a sober, mature approach to these developments ❤

arhabersham
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I doubt the next breakthrough in AI will be discovered by some guy in a garage - the problems that need to be overcome are massive and not even really well understood. A lot of the hype around AI comes from anthropomorphism and sci-fi fantasy.

GuaranteedEtern
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I'm a writer, musician, artist type. My ex was/is a software engineer. I helped her along the way up in her career. She dumped me when she disovered "we had different goals."

This was because she and her crew were making big bucks and i was doing physical labor & working on my art.

I at least said this to her, while signing divorce papers. "You care about money & status. You'll spend your life working on pointless tech projects. I'll be working on real things; things that matter."

It hurt though, realizing how vain people can be. Especially someone you love/ed.

crybabychrononaut
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As someone in the aviation industry, and what you described in gatewick with the A-SMGCS system. I can give you some insights why that is the case. First of all such systems exist for very very long time. But they are expensive and the certification for aviation safety of such system is very very complex task. The GPS/GNSS used to have too large of an error for ground movement operations and there are way way too many vehicles so you can't really have them all equipped with Squitters because you will just just block the frequency. Parked vehicles will always have squitters off. GPS is also not secure enough and can be easily jammed, thus in order to use for operational purposes ASMGCS system you will also have SMRs(Surface Movement Radars), From concept to operations of a technology in the sector takes more than 20 years. It is not cost or investment that is making it so long but the whole Safety First culture and the extreme regulation.
About some of the points of AI I think your view is way too balanced and you are downplaying some facts. Yes it is basically machine learning but how is human learning diffferent? The chat GPT Kenya RLHF example is not different than a human going to school being tought and shown how to solve tasks, write essays etc. The fact is that LLMs and some other AI models have shown to develop emergent properties very similar to how humans do. Even tho current models are narrow they tend to scale a lot with more compute and even tho Moore's law is dead in the sense of transistors scaling compute is actually increasing, and the fact that Mixture of Experts or multiple interacting agents that are very narrow and specific can work together and show synergy means that even tho we may hit a ceiling that it might be so high that the world can change very very fast.

acrpbg