Zack @DocZedd
Helping improve healthcare through the use of AI augmentation | Helping people understand how AI works | AI Researcher | Tweets are my own. doczedd.substack.com Tampa, Florida Joined July 2021-
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Chatbots are the lazy default in AI. Nobody wants to explain what they want when they could just do it. Uber didn’t build a chatbox, it built buttons powered by invisible ML. That’s the future: purpose-built models + intuitive UX that feel like magic, not work.
What is your personal tolerance for AI doctors? Would you trust a solely AI-driven medical interaction in today's environment?
Nobody wants to admit that: Hallucinations aren't a bug in AI - they're a mathematical certainty. OpenAI just proved that the way we train models makes perfect accuracy impossible, not just difficult.
5 Little-Known Deployment Realities That Could Be Undermining Your AI Project 1. Automating broken processes: AI amplifies what exists; broken workflows become expensive broken workflows at scale. 2. Missing human fallback mechanisms: Current AI limitations mean complex tasks…
"Evaluations are a scam"—until you need to pass a quality review board in law or healthcare. Then suddenly, you're scrambling to prove your system works. Here's what actually makes evals work: 1. Define "good" upfront. - Spend time deciding what quality looks like for YOUR…
How To Deploy AI Successfully Without Giving Up Your Sanity. Want to implement AI without the typical 80% failure rate? Here's what actually works in the field: 🔧 Fix your processes FIRST Automating broken workflows = expensive broken workflows Map current state → identify…
The answer to 99% of your questions is "try it"
It wasn't that long ago that I was talking about how frontier model inference costs would consistently go down... oops. While everyone focuses on "cost per token" dropping, they're missing the real problem: - "Reasoning" models now burn 1M+ tokens for complex tasks (vs 500 for…

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