eziegler.bsky.social
Principal Software Engineer at “Major Media Company” My opinions are my own.
Data, software engineering, machine learning, tech industry, media, politics, animals.
26 posts
55 followers
141 following
Getting Started
Active Commenter
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@prestonstew.bsky.social was that missile hypersonic? I’m a rube but it looked crazy fast
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I'm sad they also shuttered Fakespot. Fakespot's genAI features were largely useless, but its review analysis was actually helpful for filtering out astro-turfed reviews.
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I wish it could defer encoding to an external provider like mediaconvert or bitmovin, really my only gripe with the tech.
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Someone with a botnet could really make this dogs day.
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Take the caption for this graph. If you look at the details, 39.3% chose "I would only use a tool like this if editors verified information in the answers to ensure it accurately represented the facts". Which means 88% reject chatbots.
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Lovely read. Reminded me: a decade+ ago, Sears built an employee social network called Pebble, sorta like Tiffany Joy. The CEO Eddie Lampert would troll it under a pseudonym and yell at employees that were showing even slight criticism.
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Your reporting is a welcome reprieve from the mountains of AI shit advertising I deal with daily as a tech professional.
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@jamieloftus.bsky.social dives into this in her Manosphere episodes on 16th Minute of Fame. It was such an enlightening listen for me.
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Please don’t take this as a defense of Deloitte et al; I have no love of consultants.
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I agree, and so much of the pol discussion isn’t substantive. Just frustrated ranting (which is understandable). I’ve used a filter to block all accounts that follow more than 10k people and it has drastically helped cut down the noise from political clout chasers.
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Austerity famously worked wonders for Europe! Why just look at the now famously thriving Greek economy!
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“Data doesn’t lie” oh boy, someone never took a basic stats class…
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Given the ✨non-deterministic ✨ nature of these LLMs, these federal employees will effectively be subject to arbitrary judgement. What a shitshow.
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“AI” users overestimate the tools ability to perform with novel tasks and analysis. Basically the opposite quality of what one would want from a data scientist :( show me you can think and explore!
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Any word on why this change was made? My understanding is the CCP class is much more rigorous than the hunting safety.
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I wonder if we’ll reach an AI zenith where companies have fully automated using this slop, and have lost all ability to innovate.
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The issue there, is the hallucinations (aka errors) are not improving. Marketing claiming it’s getting better, does not match reality. There’s been nearly no advancement here since GPT-2.
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Here’s hoping their nextgen Fleet IDE makes it out of preview one day.
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For a more DIY experience check EBay, for a more tailored experience try BackMarket or Swappa
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Well said. I think there’s also a risk:benefit analysis that happens. “Yes TikTok steals my data, but it doesn’t fill my feed with edgelord stuff like Reels does”
If both options do evil, pick the option that provides most benefit.
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You might enjoy reading about Universal Approximation Theorems. It’s sort of an inverse of what you brought up: for any f and a criterion of closeness ϵ>0, if there are enough neurons in a neural network, then there exists a neural network with that many neurons that approximates f to within ϵ.
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I get a small taste of this internally at a large software org. Garbage reports generated by a vendor we use. My heart goes out to the OSS guys, it’s deeply frustrating!
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Well said, my exact thoughts while reading these replies. “You folks are doing what the author is talking about”