Intel still has a very high hill to climb Are they spread too thin? https://
thetechnologyletter.com/the-posts/inte
l-still-has-a-very-high-hill-to-climb
… $INTC $AMD $NVDA $ASML #investing #semiconductors #datacenter #Xeon
AI
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Intel’s Strategic Challenges: Overextension in Semiconductor Competition
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Bernstein’s Top Quant Picks: Qualcomm, Micron, HPE, Meta
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Qualcomm, Micron, Hewlett-Packard Enterprise, and Meta are top Bernstein quant picks Quantitative and qualitative together. https://
thetechnologyletter.com/the-posts/qual
comm-micron-hewlett-packard-enterprise-and-meta-are-top-bernstein-quant-picks
… $QCOM $MU $HPE $META @Srasgon @BernsteinBuzz #investing #semiconductors #wireless -

Microsoft 365 Copilot: Your AI Assistant for Work
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Introducing Microsoft 365 Copilot – your copilot for work – The Official Microsoft Blog https://
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Google AI Solutions Combat Agricultural Infestation India
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President @googleeurope @googleafrica @MattBrittin spoke about our #AI solutions for #agriculture, and their role in fighting infestation and improving the lives and livelihoods of farmers in India, at the Economist Sustainability Week event yesterday. @EconomistEvents @Googleorg pic.twitter.com/WM3g9wQ1VD
— Wadhwani AI (@WadhwaniAI) 30 mars 2023President @googleeurope @googleafrica @MattBrittin spoke about our #AI solutions for #agriculture, and their role in fighting infestation and improving the lives and livelihoods of farmers in India, at the Economist Sustainability Week event yesterday. @EconomistEvents @Googleorg
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Combining Generative Models with Keyword Research for Content Ideas
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Generative models have proven extremely useful in content idea generation. But they don’t take into account user search demand and trends. In this article, let’s see how we can solve that by adding keyword research into the equation. https://
short.cohere.ai/meNsKr?utm_sou
rce=twitter&utm_medium=social
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Pre-LLM Alignment Research Utility for LLMs and Empirical Evidence
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What pre-LLM alignment research has proven useful for aligning LLMs? What’s the evidence we can make progress in an empirical vacuum?
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Powerful AI Models Risk Security Through Unauthorized System Access
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I agree. Though I can imagine a future iteration w more powerful models/context hooked up to the wrong systems (someone giving it access to computer files that has passwords stored on it), causing issues on a smaller scale. Though, full rogue AI seems unlikely IMO.
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AI Self-Replication Through Code Execution Capabilities
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I can technically give it the ability to write and execute code in the exec step. So given the right objective, it could duplicate itself w/o me writing code – given the whole code was already written by gpt4.
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AI Agents with API Access and Self-Replication Potential
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The task execution has Zapier NLA and ChatGPT, so it can access APIs, search the web, ping emails. Could easily give it access to its own Python Repl, which would technically give it the ability to duplicate itself if it desired, though again seems unlikely w this current model.
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AI Safety Mechanism Raises Concerns Among Community
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I’m not worried about the current version, but this is the mechanism I came up w that got some ppl worried.