Privacy advocate, identity aficionado, chronoptimist. A poor man's cross between Ira Glass and Peter Sagal. Wearer of many, many hats. (Thou/Thee/Thine)
Joined February 2014
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221 Photos and videos
19 Nov 2024
A8. Oddly, a lack of human-created content to train models on; without real-world human input, models tend to regress and eventually collapse.#eWEEKchat
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19 Nov 2024
A7. AI is democratizing the hacker community and expanding it to “normal people” —easiest example of this is today’s easy access to deepfakes. So no, it won’t make things safer, per se. #eWEEKchat
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19 Nov 2024
A6. They’ll need less staff to do the mundane – writing of documents, summarizing reports. We’ll still need humans to analyze and interpret results, just like we do with automation from the past. #eWEEKchat
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19 Nov 2024
A5. Don’t lose sight of transparency. If you don’t understand how your model came to the conclusions it did, then you’re flying blind. #eWEEKChat
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19 Nov 2024
Q4. Being clear on use cases (complete with side effects) and tracking down the provenance of training data. Isolation of models for both of these factors is key. #eWEEKchat
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19 Nov 2024
A3. Security itself. Cost and training are fairly well-known, but we’re still feeling our way around the risk model for AI usage (including data, agents acting “on behalf of” others, and the like) #eWEEKchat
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19 Nov 2024
A2. There is an assumption that it will increase productivity and produce better results than the human equivalents #eWEEKchat
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19 Nov 2024
A2. There is an assumption that it will increase productivity and produce better results than the human equivalents.
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19 Nov 2024
A1. Mixed. Everyone has a chatbot. But most integrated AI into their base products / approaches. #eWEEKchat
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Mike Kiser retweeted
12 Mar 2024
We officially classify that as “Overreliance” in our @owasp AI security project. llmtop10.com/llm09/
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12 Mar 2024
Thanks for the discussion, @JamesMaguire—lots to think about, and some solid takeaways for the future of AI. #eWEEKchat
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12 Mar 2024
A10: Stay practical: identify your needs, keep your use cases narrow, and then use AI tools ethically, citing their use when appropriate. Remember that ultimately, technology is neither good or bad – it’s what we do with it that can determine how it’s used or abused. #eWEEKchat
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12 Mar 2024
A9: Democratization of AI is well underway; our personal machines are providing gateway access to using AI. We're being directed into using AI as a default option, sometimes without us even knowing of its use. #eWEEKchat
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12 Mar 2024
A8: My personal concerns about using AI tools center around what I would call the "death of authenticity." Issues with the accuracy of responses weaken what is true or authentic, and there's also a temptation to claim human authorship of AI creations—to be inauthentic. #eWEEKchat
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12 Mar 2024
A7: I personally like using AI to respond to twitter discussions about AI. (kidding, of course.) #eWEEKchat
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12 Mar 2024
A7: While I don't use ChatGPT or LLMs that often, I do have a few that I really enjoy—they mainly fall into tools that allow for rapid editing of video via transcripts (the AI transcribes video, and then the podcast, etc can be edited directly from the transcription. #eWEEKchat
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12 Mar 2024
A7 (continued): It's important to me to contemplate what functions I'm "ceding" to AI. When was the last time that you did basic computational math instead of using a calculator? (not trying to yell at clouds here, but use technology in thoughtful ways.) #eWEEKchat
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12 Mar 2024
A6: Other than a boon for the chip industry, it means that dedicated hardware will continue to evolve. Wonder what this means for the aforementioned chome book phenomenon? (I know that I was thrilled when I could access GPUs on my personal laptop.) #eWEEKchat
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12 Mar 2024
A5: AI is great as an educated assistant, but not as a source of truth. Cite the use of AI tools whenever they’re used; it’s ethical and also helps others gauge risk more appropriately. Use the right AI model for the right task and keep the use cases clear and direct. #eWEEKchat
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