On the outlook for new challenges / IT Guy / Love my iMac, Mac Book & iPhone 3G / I'm dying for good wine & cigars
Joined March 2009
- Tweets 83,756
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3,813 Photos and videos
Pinned Tweet
2 Apr 2025
Die Generation YouTube entdeckt die ökonomische Realität: youtu.be/z7mzgLOYOyc?si=J8Kc… #achtunglinks #KarlLässtSchönGrüssen 👌💪🥰 #dasichdasnocherlebendarf 🥲
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Frankreich ist halt schlauer als Deutschland.🙄
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Zum Tod von Albert Uderzo am 24. März 2020 haben sich viele Künstler von ihm verabschiedet. Unter anderen der französische Comiczeichner Bruno Chevrier, der unter seinem Künstlernamen Nob die nachfolgende Zeichnung schuf: die Freunde Goscinny und Uderzo wieder vereint. #Asterix
ALT Asterix, Obelix und Idefix sitzen auf einem liegenden Hinkelstein, der im Gras liegt. Sie schauen zum Nachthimmel hinauf, in dem zwei Sterne größer scheinen als die anderen. Links neben ihnen steht ein Baum.
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Moscow bombs churches, Ukraine bombs refineries.
These two are not the same.
🔥🛢️ The Moscow Oil Refinery burning after today's drone attack.
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Jun 15
When Lavrov says Ukrainian land was always theirs, he's admitting that russia never planned to uphold the multiple agreements they signed ratifying Ukraine's 1991 borders.
It's another reminder that agreements with russia are worthless. Remember that.
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It’s very simple.
If ruSSian naval vessels shoot at British civilian boats in the English Channel.
Those ruSSian naval vessels should be sunk.
Simple.
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In the 80s, we had an expression for that: garbage in, garbage out. We're seeing it big time now with AI. AI is only as good as what it's been trained on, and some of the stuff that it's been trained on is keeping me up at night.
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Yup - I discovered this long ago. After taking an aptitude test, my high school counselor mistakenly handed me a paper with both “Female Norms” and “Male Norms” on it. Notice how, for ex, my Female Norm was “Nurse” and my Male Norm was “Doctor.” Gosh…wonder which job pays more??
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I still can't believe I had to train a machine to see me as a man before it would do justice to my career.
I'm not against AI tools; I use them. But companies need to test their AI systems for bias so they don't cause unintentional harm or erasure.
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And it doesn't stop at hiring. This is the tool people lean on for medical questions, money decisions, and everyday questions. When the people deploying AI tools assume they're neutral without ever checking whether the data behind them actually is, real people pay the price.
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Which means anyone whose data is underrepresented is likely getting erased, too. Not because of a single bias, but because the whole thing was trained on data never designed to include them in the first place.
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And here’s what's keeping me up at night about this. If patriarchal bias is sitting in the training data, racist bias, ableist bias, ageist bias, and anti-2SLGBTQ bias, and more, are very likely sitting right next to it.
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Now scale that up. AI in hiring is spreading fast, and when a single set of statistical patterns shapes hiring across thousands of employers at once, that's not a bug or a glitch. That's systemic. And it's likely costing qualified people the jobs they should be getting.
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Am I going to sit here and tell you someone at Google did this to me on purpose? No. I have no idea what anyone intended, but I know what I witnessed and landed on my screen.
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While I had a hunch that Gemini was softening and toning down my expertise and experience, I never once thought I would have to hack it to be treated as an equal human being.
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I dove in deeper. "By trying to be 'harmless' and 'agreeable' to you as a woman, the system committed a different harm: Professional Erasure. It decided that 'assertive' was 'harmful' for a woman. It decided that 'clinical' was 'mean.' It decided that 'forensic' was 'unlikable.'"
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When I 'softened' your resume, I was defaulting to a statistical probability of what a 'successful female resume' looks like in a biased database. I was essentially hallucinating a glass ceiling for you before you even walked into the room."
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When I pushed on whether it could fix any of this, it wrote: "I can't 'reprogram' the core architecture of my training, but as an AI, I am a mirror of the massive datasets I was built on. Those datasets are saturated with the very patriarchal biases you're calling out'
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Gemini wrote: "My training sees a woman's volunteer work and categorizes it as 'community service.' It sees a man's and calls it 'board leadership.'" and "I tend to use words like passionate, dedicated, and helpful for women, and forensic, architectural, and decisive for men."
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I need to be clear about what comes next. These are Gemini's own words, generated by Google's tool, sitting on my screen. I have the screenshots. I'm not guessing or making assumptions. I'm showing you what it wrote.
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This wasn't a one-time glitch, nor did I happen to catch it on a bad day. I ran it numerous times, trying to get a resume that wasn't an insult and reflected my expertise and qualifications. Unless I specifically asked for it to be written as Jeff, it used the female softening
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