
Frank van den Brink
@fvdb
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Freelance Tech Director. I solve business problems with technology.
Netherlands
Joined September 2008
AI UX-Design Tools Are Not Ready for Primetime, from @NNgroup: https://t.co/p3DnujssPW Suffice to say, 1-) If you don't value your customers enough to have unassailable UX, you won't care whether you hand this off to a bot, and 2-) UX is so bad across the board, that no one
nngroup.com
Our research and evaluation shows that there are currently few design-specific AI tools that meaningfully enhance UX design workflows.
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Catchy hook with random fact about hot topic. Claim that everyone is doing it wrong. A thread of 10 superficial items which will change your life and only took a few minutes to gather 🧵
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Once it occurred to me that Tim Cook's voice sounds like Mr Garrison's, I can't unhear it. Mr Garrison is now doing all of Apple's major announcements
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🔮 3 Petabytes in your pocket using Holographic Crystal Memory could not be conceived in 2023 by even the most astute observers in technology. This indestructible ~30,000 year memory device stored the entire context of a person’s life. Even though the tech existed in 1998.
“Light-in-the-loop: using a photonics co-processor for scalable training of neural networks” As I said in 2005 the future of AI is optical computing with Holographic Crystal Memory and processing. We have arrived. And it will be in your pocket. __ [1] https://t.co/ERSu3B3JSR
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Elon just spent at least $250M on GPUs for training generative AI at Twitter. Capital + Compute inefficiencies in building powerful neural nets is absolutely mind boggling … very soon these costs are going to be 1/000th what they are today. And not because GPUs will be cheaper.
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#CyberpunkisNow This thread presents various realities & occurrences related to people using AI chatbots. The AI chatbots involved are mostly Replika or ChatGPT. Released in 2017 & 2022, so much has risen from these technologies in just six years. Sources in posts 5 & 6. 1/6
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Writer who earned $80/hour: “I just signed up for Doordash as a driver. I really wish I was kidding.”
They were warned. The sub hid my warnings. They deserve everything that happens to them. https://t.co/v3Ip2qO9ZV
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I feel like everyone woke up today and realized the LLM stack has changed. LangChain, GPT-4, embedding databases… Buckle up.
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Autonomous AI agents are already here. I used one experimental model, AutoGPT, and let it analyze the market for simulations, setting its own goals. Right now, the AI is prone to distraction & confusion, but you can see how it might soon work (the system is only a week old).
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LLMs are going to seriously uproot knowledge work professions. If you are producing content or knowledge work that is just rehashing existing stuff, you’re going to have to adapt. Writers, designers, marketeers, analysts, programmers. It’s all going to drastically change.
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Today I've been GPT4's assistant for most part. Executing what it said, giving it back my output, it refined. Rinse & repeat. It would propose to tweak functions across our entire conversation since early morning. After coding for 3 decades, for the first time I feel I really
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By 2024 you’ll be able to replace ~50% software devs with GPT-4 agents that run on $10 worth of tokens per hour. The whole “they don’t need sleep or breaks or food” thing? Yeah. That’s real now. Why hire a new employee when you can spin up an AI agent for 1/10 the cost?
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🔥1/8 Introducing "🤖 Task-driven Autonomous Agent" An agent that leverages @openai's GPT-4, @pinecone vector search, and @LangChainAI framework to autonomously create and perform tasks based on an objective. "Paper": https://t.co/MT5WxB0Ebo [More 🔽]
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Releasing software to customers should be a special moment and celebrated. Deploying changes to production should be something that's frequent, routine, mundane, and entirely unexciting. These two things are not mutually exclusive.
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Branching strategies fall in two categories: Optimized for individual productivity: private branches, requires merges, poor commits don't disrupt other's work Optimized for team productivity: no branches, always integrated, poor commits disrupt other's work Choose wisely.
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Don't learn to code. Learn to solve problems with technology. If you're good at the latter you can leverage those who are good at the former.
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When writing code, "simple" is not the same as "fast to write" or "first thing that comes to mind." Finding the simplest possible solution is hard and may require multiple iterations. Test well. Refactor mercilessly. Perfection isn't needed though. Code is a means. Not an end.
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If people don't trust each other it doesn't matter what kind of tech stack you run.
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