stp2y - CybAI news

21 May

Measuring personal growth

stp2y0 CommentsRAG models

My founder friends constantly think about growth. They think about how to measure their business growth and how to get to the next order of magnitude scale. If they’re making $1M ARR today, they think about how to get to $10M ARR. If they have 1,000 users today, they think about how to get to 10,000 users. This made me wonder if/how people are measuring personal growth. I don’t want to use metrics like net worth or the number of followers, because that’s not what I live for. After talking with a lot of friends, I found three interesting metrics:…

21 May

Unveiling the Criticality of Red Teaming for Generative AI Governance

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As generative artificial intelligence (AI) systems become increasingly ubiquitous, their potential impact on society amplifies. These advanced language models possess remarkable capabilities, yet their inherent complexities raise concerns about unintended consequences and potential misuse. Consequently, the evolution of generative AI necessitates robust governance mechanisms to ensure responsible development and deployment. One crucial component of this governance framework is red teaming – a proactive approach to identifying and mitigating vulnerabilities and risks associated with these powerful technologies. Demystifying Red Teaming Red teaming is a cybersecurity practice that simulates real-world adversarial tactics, techniques, and procedures (TTPs) to evaluate an organization's defenses and…

21 May

Databricks

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Databricks is the second company in Generational’s late-stage company series. This was fun to write. As part of the research, I got the Lakehouse and Generative AI Fundamentals badges from Databricks Academy. Disclaimer: I have a financial interest in Databricks. Don’t take this as investment advice.In this deep dive, you’ll learn insights from conversations with many of Databricks’ customers and ex-employees. I want to thank Tegus for giving me access to their centralized expert call transcripts. With a platform as broad as Databricks, it is almost impossible to parse signal from the noise without primary research. If you’re curious about…

21 May

How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps | Amazon Web Services

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This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. LotteON operates various specialty stores, including fashion, beauty, luxury, and kids, and strives to provide a personalized shopping experience across all aspects of customers’ lifestyles. To enhance the shopping experience of LotteON’s customers, the recommendation service development team is continuously improving the recommendation service to provide customers with the products they are looking for or may be interested in at the right time.…

21 May

ChatGPT suspends Scarlett Johansson-like voice as actor speaks out against OpenAI

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Scarlett Johansson has spoken out against OpenAI after the company used a voice eerily resembling her own in its new ChatGPT product.The actor said in a statement she was approached by OpenAI nine months ago to voice its AI system but declined for “personal reasons”. Johansson was “shocked” and “angered” when she heard the voice option, which “sounded so eerily similar to mine that my closest friends and news outlets could not tell the difference,” she said.OpenAI removed a heavily promoted voice option from ChatGPT on Monday, following a widespread reaction and comparisons to Johansson to the flirtatious, feminine voice…

21 May

FAQ for our Monte Carlo Conformal Prediction • David Stutz

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Over the past months, I have given several talks about Monte Carlo conformal prediction and the problem of calibrating with uncertain ground truth, for example, stemming from annotator disagreement. Each time, the audience had great questions and ideas for extensions and interesting applications. In this article, I want to provide a sort of FAQ for our work. Are code and data available? Yes, code and data are on GitHub. Code includes both Monte Carlo conformal prediction as well as the plausibility regions from v1 of the paper. Can you derive the conformal $p$-values used in the paper? The connection of…

21 May

Transcript: Kevin Roose Has 18 New Best Friends—And They’re All AIs

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The transcript of How Do You Use ChatGPT? with Kevin Roose is below for paying subscribers. Subscribe now Timestamps Introduction: 00:01:11 The surprising allure of relationships with AI personas: 00:03:47 The icks of AI dating and intimacy: 00:09:50 Risks of young people relying on AI for friendship: 00:14:05 Kevin screenshares a historical chat with an AI friend: 00:17:39 Why an AI persona makes for a better friend than ChatGPT: 00:21:46 Why Kevin thinks AI personas won’t substitute real friends just yet: 00:31:14 Kevin’s AI toolkit: 00:33:11 How Kevin thinks about using AI as part of his writing process: 00:41:15 Comparing…

21 May

Introducing Databricks Assistant Autocomplete

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We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing personalized code suggestions as you type. Directly integrated into the notebook and SQL editor, Assistant Autocomplete suggestions blend seamlessly into your development flow and allow you to stay focused in the editor. Boost Productivity with AI-generated Code SuggestionsDatabricks Assistant Autocomplete automatically provides fast code suggestions as you type in SQL and Python. AI code completion uses context from current and sounding code cells, Unity Catalog metadata, DataFrame data, and more to generate highly relevant suggestions as you type.SQL PythonGetting…

21 May

T-Minus: How to not die on (the way to) Mars

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This is T-Minus, where we dig into the biggest developments in space, from new rocket launches to discoveries that advance our understanding of the universe and our place in it. Humanity is reaching new heights in space exploration. Make sure you’re part of the journey by subscribing here.In 1962, President John F. Kennedy told a crowd gathered at Rice University that the US wanted to put a person on the moon before the end of the decade because it was hard — but a challenge wasn’t all America was looking for with its moon mission.In that same speech, Kennedy also…

20 May

Meta’s answer to GPT-4o? Meet Chameleon

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In the wake of OpenAI's recent announcement of GPT-4o, a new model that processes and generates text, audio, and images in real-time, it's clear that the race for multimodal AI is heating up. Not to be outdone, researchers at Meta AI (FAIR) have just released a fascinating new paper introducing Chameleon, a family of early-fusion foundation models that also seamlessly blend language and vision. In this post, we'll do a deep dive into the Chameleon paper, exploring how it pushes the boundaries of multimodal AI in different but equally exciting ways compared to GPT-4o. We’ll also speculate a bit on…