1) White dude consults with other "trusted white dudes" about issues of discrimination that I raised and decided to keep quiet based on "conflicting accounts" from his fellow "trusted colleagues" ….
AI
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AI Safety Discourse and the Doomer Debate in Research
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Thank you to Lorena for writing this article, highlighting our works and showing that this is a collective effort. I like that you didn't equivocate about the fact that I was fired. The part about Hinton was such a great example of where we are with the doomers
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Fused 3D sensors enable JARVIS-like autonomous driving interfaces
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Imagine driving tapped into the fused 3D sensor feed — it’d be like JARVIS
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XR Leadership: Prioritizing People Over Technology
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One big thing this talk made clear to me: @starrdlux is a pioneer we should all follow. Great leadership of the #DEFCON31 @xrvillage
. Her approach: lead with an understanding that XR is about people not tech. -
AI Agents Pipeline User Code Data ML Models LLM
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With our AI agents, you can pipeline: – any user code
– any data transformations
– ML models & LLM prompts and execute and monitor these pipelines on our SOTA MLOps platform. Check it out here – -

AI-Powered Video Content Creation with Segment Anything and ControlNet
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Me: Desires to make content creation effortless by focusing on interviews in a simple talk head format Also me: Decides to hack on Segment Anything for video + ControlNet to reskin the entire set Worth it, probably lol.
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Origins of Large Language Models Research Paper Analysis
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On the origins of #LLMs 120 Paper: https://
arxiv.org/abs/2307.09793 -

FTC Chief Khan Defends Big Tech Antitrust Lawsuits After Microsoft Ruling
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F.T.C.’s Lina Khan Faces Fresh Questions After Microsoft Ruling: Lina Khan has said a fear of defeat should not deter the agency from suing big tech companies. But after Microsoft won a ruling this week, her critics say that… #Technology #Tech #FutureTech https://
nytimes.com/2023/07/11/tec
hnology/lina-khan-ftc-strategy.html?utm_source=dlvr.it&utm_medium=twitter
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Exploitation Mode: The Illusion of Progress Through Scaling
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Going into exploitation mode (scaling up what works) can give you the illusion of fast progress when you're looking at the wrong metrics. Like "solving" air travel by forever scaling up a hydrogen zeppelin. It may seem like you can cover ever greater distances, but you're still
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Deep Learning Limitations Unchanged Since 2017
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Re-reading an article I wrote in 2017, and I'm finding I could have written it yesterday. It's fascinating how the limitations of deep learning have stayed the same since. Same problems, same failure modes, no progress.