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3 contributions to Data Alchemy
The AI Market is Exploding - Are You Ready?
I've spent the last year watching something interesting happen in our field... Everyone's talking about GenAI. Every tweet, every product launch, every investor memo. But here's what's really happening: When you zoom in on the AI systems actually running in production today, almost none of them are GenAI. They're still powered by traditional ML — logistic regression, XGBoost, neural nets. But that won't last. I predict those numbers will completely flip over the next decade. GenAI is going to eat everything. But honestly, most developers aren't ready for that shift. Not because they aren't good - but because GenAI is evolving faster than any tech wave we've ever seen. There's no real roadmap. No clean, proven path to go from "I can prompt ChatGPT" to "I build production-ready GenAI systems." I've felt this gap myself. Even with a strong background in AI, I had to dig for answers, hack things together, and experiment like crazy to keep up. And when I started hiring engineers at Datalumina, I realized there's no proper training program for this new wave of AI engineering. So I built one. It started as an internal roadmap. Then I shared it within our community. The response? "This is exactly what I needed!" So now, it's official: The GenAI Accelerator is open for enrollment. ✓ A 6-week cohort-based program ✓ Built for developers who want to level up fast ✓ Focused on real, production-grade systems — not playground projects ✓ Based on 10+ years of building AI systems ✓ First cohort starts May 5th You'll learn techniques that aren't shared on YouTube or Medium. These are the same approaches used by big tech companies, but their employees can't openly share them online due to confidentiality agreements. But I don't care about competition. The AI market is growing exponentially. There's more than enough opportunity for every skilled developer. At Datalumina, we can't even take on 1% of the project requests coming our way. The demand for AI engineers is so massive that I'm not worried about "giving away secrets" - I'm focused on helping more developers build the skills needed to meet this demand.
0 likes • May 8
@Hunter Vassar So is throwing paint at the wall, but would you call that "creative"? If that's what you'd embrace as "already in the realm of generative AI" then I guess that pretty much any primate and worm can "generate" AI content. Throwing words into a document is not "programming" if it doesn't do anything, or even compile. There's certainly some artistry to programming, but that artistry is highly constrained by multiple layers of requirements. I don't know much about the graffiti artist known as "Banksy" but all of his works are quite political in nature. I don't think if you hand a monkey cans of spray paint that they'd end up "generating" anything intelligible let alone similar to what Banksy creates. Yet AI trained on Banksy's works can generate visuals that might approximate things that Banksy might create. But if it has not built a connection between Banksy's artistry and contemporary political issues, many of which are represented in a highly abstract manner, I doubt they amount to much more than a monkey that can paint things that are somewhat recognizable. They might be "creative" to the monkey, but are they anywhere as thought-provoking as what Banksy makes? I was diagnosed with the Syndrome Formerly Known as Asperger's a few years back. If you read accounts of the kinds of challenges Aspies have with normal social interactions, one that stands out is that because of the way we think, often leveraging several levels of cognitive indirection, we can make jokes using metaphors (similar to what Banksy does) that we find quite funny, yet nobody has the slightest clue what we just said. That's certainly both "generative" and "creative". I think telling such jokes to a group of Aspies would raise some laughs. I've been in some social groups (prior to my diagnosis) when someone told a joke and only a couple of us got it. When AI can specifically create jokes that only people with some minimal IQ level can understand, then we'll be there. Until then, there are still far too many people who think a monkey throwing paint at a wall with no understanding of what its underlying motivation might be, is an example of both "creative" and "generative" behavior. Just like parrots that can mimic normal speech, they have no idea what the noise they're making "means" to people who might interpret is as "meaningful".
0 likes • Jun 14
@Mei Hsien Hsu This isn't limited to AI. I've been a software developer my entire career. I've tried to outsource some simple programming tasks to people on Fiverr and Upwork with horrible results. I tell these people I'm an experienced programmer, that I'm just trying to get some help with basic things, and they STILL lie through their teeth about their experience and expertise levels, thinking I'm not going to notice! If I have that much trouble getting people to do basic programming tasks, I cannot imagine how many non-programmers are being scammed by these unscrupulous liars who think they're doing people a favor by taking on their projects. I've been using ChatGPT and more recently Claude to help with some programming tasks, and I've been blown away with the quality of work they do. ChatGPT's o4-mini-high is about the level of a high-schooler, and Claude is more of a college intern, but even at this level, they're heads-and-shoulders above what I've found in Fiverr and Upwork. The people offering to do programming on these other platforms would be far more effective acting as intermediaries between clients with needs and AI platforms, because the AI is already far more capable than they are. Non-programmers can't see that, however. I sure can. I think everybody who works with AI needs to burn this into their brain: If you're NOT an SME in the material you're having AI create for you, you ABSOLUTELY MUST have it checked by someone who IS. No two ways around it. And if you ARE, then you need to scrutinize it assuming it was crated by a summer intern who doesn't have a very extensive understanding of what they're doing.
Welcome to Data Alchemy - Start Here
The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!
Welcome to Data Alchemy - Start Here
5 likes • Apr 3
Hi, I just made a long reply on the post How to Build Effective AI Agents that says a lot, and really helped me to finally wrap my head around what this "prompting stuff" is all about. I've been a software developer and programming for 50+ years and that video helped me to put this stuff into perspective from a programming standpoint. I've been learning to use Latenode to build automations; Pickaxe to create wrappers around them; and generally how to turn this stuff into some recurring revenue streams. I don't enjoy sales, so if anybody who does wants to focus on that without having to learn the techy side of things, let me know. :)
2 likes • Apr 3
@Chrispin Hirwa Thanks. It's rather strange to be so "old" that young adults are quoting stuff that I remember clearly and they've got the details wrong. I'm actually really looking forward to the imminent transformations that AI will be bringing to this process we call "programming". It's going to shift everything over to what we call the "analysis" part and the "coding" part is going to disappear. But instead of sombody sitting down and interviewing a bunch of people, it will all be done interactively on the computer, and as someone describes their workflow needs, AI will be showing mock-ups on the screen that the user will be able to interact with immediately. At the end of the interview, the user will have a new set of screens ready to use in their daily job. Instead of taking weeks or months to do this stuff, it will happen in a matter of hours.
How to Build Effective AI Agents
Everyone’s talking about AI agents. But the truth? Most demos you see online are just that—demos. Even big players like Apple and Amazon struggle to make their AI features work in the real world due to issues like hallucinations and unreliable outputs. In this week’s video, I break down the differences between simple workflows and true AI agents and share practical strategies for building reliable AI systems, including: - How to use workflow patterns like prompt chaining and routing to solve real problems effectively - Why agent frameworks might not be the solution you think they are - The #1 thing you need to scale AI systems successfully (hint: it’s not a new tool) Learn how to move beyond the hype and build AI systems that actually work.
2 likes • Apr 3
I came across your video on this topic and I really enjoyed it and got a lot of value from it. I've been a software developer for nearly 50 years and have been aware of "AI" since I took a graduate-level class about "AI" in college that was basically about using LISP to do some really simple stuff based on what Weisenbaum did in creating his "chatbot" of sorts he called Elisa that simulated a Rogerian psychotherapist back in the late 60'. Looking back, it worked because the users were fooled into thinking it was "real" in a sense. That led to discussions about Alan Turing's assertion that we'll have crossed a threshold once people could not discern whether they're talking to a computer or a person. I have learned over the years that people are much dumber than we give them credit, especially those who write scripts for support teams and tell the people not to deviate from them, and end up making them sound like robots. I get infuriated listening to so many support people apologizing repeatedly and telling me how deeply they understand my frustration and sympathize with my concern when all I want them to do is fix some problem or explain something to me. Sadly, automated systems aren't much better either, but they're improving. Over the years, AI has always been like a category of stuff that programming things got dumped into that had no other explanation. Twenty years ago, fuzzy-sets and neural networks were a big thing. I guess I started looking more closely into the latest technology last year and I'm quite surprised that it has gotten to a point that people find it useful. It reminds me of writing little programs in BASIC in the 70's that would ask the user for their name, go back and forth, and then spit out an answer about something starting with the user's name. They'd be totally awestruck that IT REMEMBERED THEIR NAME! That sort of response continued for over a decade, and I've always found that amusing. I've been learning about this stuff for a year or so and while it looks a lot like "programming", it's a little different. To me, there has always been imperative and declarative programming. Imperative languages all look the same, and declarative language are all over the place.
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