Lifeboat Foundation: Safeguarding Humanity
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Category: robotics/AI – Page 429

The platform’s ability to interface with a variety of data sources and observability tools makes it a versatile solution for businesses operating in diverse IT environments, whether on-premises, in the cloud, or in hybrid settings. By serving as an intelligence layer that rationalizes data from multiple observability and infrastructure sources, Flip AI simplifies the workload for IT operations teams and supports more efficient operational practices.

This innovative use of LLMs for operational efficiency in IT environments presents a significant advancement in observability, offering enterprises a powerful tool to enhance system reliability and performance while reducing the economic impact of downtime.

As LLMs continue to evolve, their integration into observability tools is transforming the landscape of infrastructure and workload observability. The immediate benefits of improved performance monitoring and security are just the beginning.

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They’ll be kind, supportive, empathetic.

DeepMind cofounder and Microsoft AI CEO Mustafa Suleyman took the stage at TED2024 last week to lay out his vision for an AI-driven future. And according to the AI boss, if you really want to grasp how impactful AI might be to the human species, it might be useful to think of AI as another “species” entirely.

“I think AI should best be understood as something like a new digital species,” Suleyman — who left the Google-owned DeepMind lab in 2022 — told the crowd.

“Now, don’t take this too literally,” he admonished, “but I predict that we’ll come to see them as digital companions, new partners in the journeys of all our lives.”

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In line with that ambition, Samsung on Tuesday said it has begun mass-producing high-performance memory chips, like HBM3E 8H (8-layer) DRAM, as well as V9 NAND chips, typically used in enterprise servers, AI and cloud devices. The company said it also intends to produce HBM3E 12H (12-layer) chips in the second quarter of this year.

Samsung is the world’s largest memory chip maker and competes with Micron and SK Hynix, a Korean memory chip maker, in the market for HBM chips. Micron kicked off its mass production of 8-layer HBM3E semiconductors in February, and last month at Nvidia’s GTC 2024, SK Hynix said it had also started mass producing HBM3E chips.

As for its foundry business, Samsung said its development of 3-nanometer and 2-nanometer AI chips is “progressing smoothly.”

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Recently I saw a post on twitter claiming that AI could be powered with quantum vacuum energy. The post was accompanied by a figure from a paper published in Nature. Unfortunately for the poster, but fortunately for science, the paper had nothing to do with extracting energy from the vacuum. Rather, it was a description of an experimental realization of a transistor that uses the Casimir effect to mediate and amplify energy transfer across a new kind of transistor.

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1/ Researchers have found that AI models can solve complex tasks like “3SUM” by using simple dots like “…” instead of sentences.

Researchers have found that specifically trained LLMs can solve complex problems just as well using dots like “…” instead of full sentences. This could make it harder to control what’s happening in these models.

The researchers trained Llama language models to solve a difficult math problem called “3SUM”, where the model has to find three numbers that add up to zero.

Usually, AI models solve such tasks by explaining the steps in full sentences, known as “chain of thought” prompting. But the researchers replaced these natural language explanations with repeated dots, called filler tokens.

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