Data Design, Data Management, Data Engineering & Data Science. That's a lot of data -- yes, sort of the point.

Frankfort, KY
The "Just Do It" for this age. Feel the optimistic, future-leaning throb. So cool. More of this, please.
It's incredible how far you can go if you just don't stop.
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Very reasonable policy. More like this, please.
No built-in AI is now a feature of good, private software – not a limitation: blog.documentfoundation.org/…
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Mr. Hashimoto brings practical clarity to the AI-generated code discussion. More people on here like this, please.
The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage. I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care. But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently. For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios. But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
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DataApiary retweeted
This is the real future of AI. The value is in the data, not the tech. Companies with propriety data will build their own AI.
Latham & Watkins buys Nvidia servers to set up in-house AI systems ft.trib.al/0CRKbBl
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DataApiary retweeted
I think that AI is helping us in ways that will only become clear in several years, as it is helping clarify knowledge, science and philosophy. In other words, I believe that it may usher in a new intellectual golden age, but not necessarily directly (by what “it” finds). Rather, it may force a reshaping of the current social hierarchies. Many people who have reigned over academia for decades are finding themselves on the defensive. Meanwhile, other models are slowly being valorized. If I am correct, we are in for quite a fight. It will get vicious. What I find interesting with OpenAI breaking the Navier-Stokes problem with a counterexample is that… except for some drama among professional mathematicians… nothing much happened, at least thus far. This problem is about fluid mechanics. It regulates how water and air flow. I believe that it illustrates an important nuance in human knowledge and why people care about it. When I went to university, I went for Mathematics. My reasoning at the time was that if I got really good at Mathematics, then I would do well at everything else: Physics, Engineering, Programming… But then, as I learned more advanced Mathematics, and I attended other courses, I did not seem to have an edge. Even today, as I do research on software programming, all my advanced courses in mathematics are rarely proving useful. In fact, the only useful part is that I am fearless when it comes to Mathematics. I know that no matter how complicated it may seem, if I sit down and ask enough questions, and drill down deep enough, I can understand it. I am not saying, in case you are wondering, that Mathematics is useless. Much of my best work relies on interesting Mathematics. For example, a widely used number parser that I wrote relies on Legendre’s partial fractions. Cool stuff. What I am saying is that Mathematicians are relying on an uncited theorem: The more Mathematics we have, the better technology we will build. In other words, Mathematics may soon cure cancer. The problem is that you can create an infinite amount of Mathematics. We already have much, much more than any one mathematician can know. Now you may care for it the same way that you care for abstract art. It is a form of social construction where people show what their remarkable brains are capable of. But people like myself, we want to go to Mars, cure aging, explore the galaxy, develop anti-gravity. Do we care about Mathematics? We care very much about it as a tool, but not as the end point. I am not saying that everything ought to be about Engineering. Blaise Pascal is worth studying because he can lead you to better understand what is meant by “I believe,” and he also did some cool Mathematics. You have no idea how smart and influential the man was. In fact, I believe, I predict, that we are about to get more people like Pascal rising up. AI will give them air.
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"the mainstream is always a consumer, never a creator. go talk to some people outside of our tech bubble and you'll see - they literally don't [care] about vibe coding" Interesting to see if the comparison to blogs, instagram & tiktok holds.
the thinking that "everyone will just vibe code their own software" was born from within a bubble what's happening to software development right now has happened many, many times before to other things. you just need to look web 2.0 allowed everyone to write blogs. did everyone write blogs? instagram allowed everyone to share beautiful photos. did everyone share beautiful photos? tiktok allowed everyone to make short videos. did everyone make short videos? now vibe coding allows everyone to build software, and you think everyone will start building software? this time around, people are just different? the mainstream is always a consumer, never a creator. go talk to some people outside of our tech bubble and you'll see - they literally don't give a f about vibe coding
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DataApiary retweeted
I can’t stress enough how little an idea matters compared to the agency of the people executing the idea. I have had the privilege of knowing and sometimes even working with some of the most successful people (by various metrics). The difference between mediocre and excellent work and outcomes is predominantly one of agency. In practice this means: they dont wait for things to happen to them they go out and make things happen for them. They don’t wait for someone else to do something, for someone to teach them, for someone to give them the path, etc. They just go out and find a way to do it. I think the single biggest superpower these people have is the realization/belief that the world around them is completely mutable. Most everything that happens is because a person made it happen. I used to tell people to look around the room you’re sitting in. Look at everything. Every noun. It almost all exists because a person willed it into existence. Nothing is stopping you from doing the same. I see people online all the time dismissing someone else’s success because “I had that idea first” or whatever. I mean… yeah? If so then the difference is… you. So a bit of a self own whenever I hear that. Number one tip: act with agency.
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Replying to @EvanHub
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Two ways to stay up to date on what's happening with AI and agents: 1. Follow the right people on this platform 2. Check out Akamai's "Edge Case" Discord server The former is like drinking from the firehouse. It's all breaking news, but it's hard to filter out the noise. The latter gives you access to engineers doing the work and talking about their experience as it happens. This platform is great to learn about new models, frameworks, and agent demos. The Edge Case server is great to find technical discussions that help you build and ship something real. The server is open to anyone, from people getting started to engineers shipping production applications. The community focuses on AI, LLMs, cloud, serverless functions, and WebAssembly. There are three useful ways to learn from the people there: 1. They run office hours for everyone. You can bring your questions 2. They run weekly build sessions with developers. You can join them 3. They publish a biweekly live show where they build end-to-end applications All of this is free and open to anyone. Here is the link to join the server: fandf.co/4zYFJ3c Thanks to the @Akamai team for partnering with me on this post.
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Today I Learned: google searches become bookmarkable by changing the top from All to AI mode.
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* Wanted to learn `tmux` (us old dogs called it `screen`). * Grok offline ☹️ * Youtube tutorials: too slow or too meme-coin bro vibe 😴. `me@my-machine$:~ man tmux` Huh, it was right there on my machine all along (after apt install, of course).
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DataApiary retweeted
Back in the late 80's, these were the pocket folders we used to organize our homework assignments.
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DataApiary retweeted
something really clicked for me when I learned of a theory from a neuroscientist mark solms who said: “consciousness arises when something cannot be automated.” his example is simple: let’s say you’re hungry and you’re tired, and you have to decide which to privilege. that takes decision-making and what consciousness does is open up this space to resolve uncertainty. if everything in the world was predictable then you wouldn’t need consciousness. and so he defines consciousness as felt uncertainty (isn’t that beautiful?) maybe this is why i am very pro-ai: automate whatever can be automated. no one should have to spend their one precious life manually processing insurance claims. but also why for most of my problems, I prefer a psilocybin journey over a better model. I need self-trust more than intelligence. I need to mute other people’s thoughts to get closer to my own. I need to improve my ability to make decisions without certainty. no amount of data or intelligence can resolve the fundamental uncertainties that confront every human being: what possibility should I commit to? what path is right for me?
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What’s the Difference between Agent Experience (AX) & Generative Engine Optimization (GEO, aka AI SEO, AEO, LLMGEO)? TLDR: GEO gets you mentioned, AX determines what happens next, but there's so much more to say!! redmonk.com/kholterhoff/2026…
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DataApiary retweeted
I could spend $40,000 on guitar gear and still sound like me. Mike Rutherford can walk onstage with Genesis holding a $200 Squier and sound like Mike Rutherford. I love playing guitar. I’m passionate about it. Yet, I’m decidedly mediocre. I could buy a $10,000 PRS private stock, a $20,000 Dumble amp, and another $10,000 worth of pedals. None of it would give me Mike Rutherford’s skill, feel or tone. That’s how I think about AI and software development. Someone with software engineering skills is going to get far more out of coding agents than someone without those skills. AI lets everyone build software. Knowledge, skill and experience still give you an significant edge.
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Excellent analysis from @anders_murphy re: SQL and indexing. Asking "Uh, I wonder what happens if" is a wonderfully human trait. The price of exploring your curiosity has never been cheaper; the value never greater. andersmurphy.com/2026/06/05/… and andersmurphy.com/2026/06/07/…
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DataApiary retweeted
In Excel, the glass is January 2nd.
the glass half full or half empty? ✍️
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The Debian Linux project has just passed a General Resolution, taking an official stance on AI usage within Debian. The passed “Responsible Use of Generative AI” resolution states : “Debian neither endorses nor prohibits the use of generative AI tools in the development, maintenance, or documentation of software, packaging, documentation, and other media published within the Debian Project.” In other words: Use AI. Don’t use AI. Debian doesn’t care either way. The passed Debian resolution also states : “We recognize that such tools can substantially improve the productivity of contributors when used responsibly, allowing volunteers to spend more of their limited time on work that requires technical expertise, judgment, review, and collaboration.” Voting concluded at 8pm this evening, with the vote being conducted using ranked choice voting. It is now the official policy of Debian.
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