We were listed as a top AI and ML startup in 2022! Took a lot of work, but thanks to everyone that made it possible!
AI
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Energy-Centric AI: Efficient ML Models Without Precision Loss
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How can #ML/#DL models run efficiently without precision? In the latest @SemiEngineering article, @UntetherAI
's @beach66 & Martin Snelgrove introduce the Energy-Centric AI computing architecture: a solution built for energy-efficient #AI inference. -
Claude Vulnerable to Limited Prompt Injection Attacks Affecting Safety
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Update: Claude is *somewhat* vulnerable to prompt injection, but with limited harm. You can make Claude believe it's said things it hasn't, but seems to have no effect on its commitment to safety:
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ChatGPT Limitations and Innovation Opportunities in AI
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ChatGPT is incredible, but I think it's important to remember that it's not a silver bullet. As with any technology, it has limitations and it's important to approach it with realistic expectations. But this also means there are still plenty of opportunities for innovation.
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IDE Dependency Management Frustrations Compared
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Oh absolutely. Just annoyed how much better other IDEs handle their dep management.
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Improving AI Model Behavior Through Specific Instructions
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I get that — it has a sort of 'sanitized' feel. But you can get around that by giving it a very specific set of instructions re: how you want it to act. Future models should improve this.
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Building Competitive Moats in Technology Strategy
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There's always an opportunity to build a moat, if you know where to look.
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GPT-3 limitations and expectations for GPT-4 improvements
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Unfortunately the GPT-3 models were trained on data no more recent than Sep 2021. The world changed since then! Please keep kicking the tires and asking for intel assessments, will help us train the system, but big improvements not expected till GPT-4
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Cerebras Wafer-Scale Engine: 850K cores, 40GB SRAM distributed
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Some #wafer-scale eye candy When performance is everything, the best #memory hierarchy is no memory hierarchy at all! The Cerebras Wafer-Scale Engine has 40GB of #sram evenly distributed across 850,000 cores for a staggering total of 2.6 trillion #transistors. Thanks, #tsmc!
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Long Covid Research Publication From Expert Co-Authors
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This was an outgrowth of a very long process, with multiple rounds of peer and editor reviews. In a field constantly updating. But it was all worth it to have the privilege to work with 3 all-star co-authors, each of whom have had #LongCovid. We hope you'll find it useful