Lifeboat Foundation

“Personalize or Perish.” One of the leading newspapers aptly summarizes the critical nature of personalization 2.0, or hyper-personalization for businesses.

We live in an era where customers expect businesses to understand their wants and needs. Today, companies must meet customers’ needs and anticipate and exceed them. And for this, they must pivot to a digital-first mindset to create stronger, more authentic customer interactions.

How do they do this? Through a hyper-personalized, AI-powered business strategy where products, ads, and interactions are tailor-made for each customer or a group of customers.

The statement that may not be obvious is that the sleeping giant, Google has woken up, and they are iterating on a pace that will smash GPT-4 total pre-training FLOPS by 5x before the end of the year. The path is clear to 100x by the end of next year given their current infrastructure buildout. Whether Google has the stomach to put these models out publicly without neutering their creativity or their existing business model is a different discussion.

Today we want to discuss Google’s training systems for Gemini, the iteration velocity for Gemini models, Google’s Viperfish (TPUv5) ramp, Google’s competitiveness going forward versus the other frontier labs, and a crowd we are dubbing the GPU-Poor.

Access to compute is a bimodal distribution. There are a handful of firms with 20k+ A/H100 GPUs, and individual researchers can access 100s or 1,000s of GPUs for pet projects. The chief among these are researchers at OpenAI, Google, Anthropic, Inflection, X, and Meta, who will have the highest ratios of compute resources to researchers. A few of the firms above as well as multiple Chinese firms will 100k+ by the end of next year, although we are unsure of the ratio of researchers in China, only the GPU volumes.

Aude Oliva is a prominent Cognitive and Computer Scientist directing the MIT Computational Perception and Cognition group at CSAIL while also leading the MIT-IBM Watson AI Lab and co-leading the MIT AI Hardware Program. With research spanning computational neuroscience, cognition, and computer vision, she pioneers the integration of human perception and machine recognition. Her contributions extend across academia, industry, and research, making her a distinguished figure at MIT.

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Continue reading “Building Tools To Learn Human Brain Processes” »

Construction is set to break ground by the end of this year, and the company expects to move into the new space by the end of 2024. The production facility for semiconductor quartz will include a clean room, high-purity cleaning system and allow them to expand an automation component of their business that they’ve been capitalizing on for years.

“We knew that our customers all over the world were expanding at a rate we couldn’t keep up with,” said Scott Lingren, SXT’s managing director and U.S. chairman. “As you see all these expansions from Samsung in Taylor to Texas Instruments Inc. in the Dallas area to all over the world … we just have to keep up.”

SXT – which is headquartered in the Netherlands and owned by the privately-held Schunk Group in Germany – supplies semiconductor manufacturers around the world, like Samsung, which has had a presence in Central Texas for decades and is potentially adding to its existing Austin campus and its new site in Taylor. Other major players in the industry include Taiwan Semiconductor Manufacturing Co., which is expanding in Arizona, and Intel Corp., which is expanding to Ohio.

What happens in femtoseconds in nature can now be observed in milliseconds in the lab.

Scientists at the university of sydney.

The University of Sydney is a public research university located in Sydney, New South Wales, Australia. Founded in 1,850, it is the oldest university in Australia and is consistently ranked among the top universities in the world. The University of Sydney has a strong focus on research and offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including arts, business, engineering, law, medicine, and science.

Are you running a small business? Learn how to use AI for small businesses effectively and what tools to use to get the most out of the AI.

How will AI affect businesses and employees? It’s the million-dollar question, and according to Harvard Business School’s Raffaella Sadun, the answer will depend on how well an organization connects the new technologies to both a broad corporate vision and individual employee growth.

One without the other is a recipe for job elimination and fewer new opportunities for all. Luckily, she points out, we are early in our AI journey, and nothing is predetermined. Smart leaders don’t need to understand every technicality of AI. But they do need to identify the best use cases for their specific business and communicate a clear strategy for reskilling their teams.

Continue reading “How to Lead and Reskill in the Age of AI” »

Interview with Prof. Marc Sachon for the event “Artificial Intelligence: Using your power for good” (IESE Global Alumni Reunion 2022).

+ “Artificial Intelligence for Executives” Program:
https://execedprograms.iese.edu/strategic-management/artificial-intelligence/
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https://execedprograms.iese.edu/strategic-management/artific…-business/

In a talk from the cutting edge of technology, OpenAI cofounder Greg Brockman explores the underlying design principles of ChatGPT and demos some mind-blowing, unreleased plug-ins for the chatbot that sent shockwaves across the world. After the talk, head of TED Chris Anderson joins Brockman to dig into the timeline of ChatGPT’s development and get Brockman’s take on the risks, raised by many in the tech industry and beyond, of releasing such a powerful tool into the world.

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Continue reading “The Inside Story of ChatGPT’s Astonishing Potential | Greg Brockman | TED” »