Lifeboat Foundation

Even the biggest investors often make terrible trading decisions for their portfolios.

At an AI summit in Tokyo on Wednesday, Jensen Huang and Masayoshi Son joked about how SoftBank was once Nvidia’s largest shareholder before dumping its stake. The two billionaires are now joining forces on a Japanese supercomputer. SoftBank, which until early 2019 owned 4.9% of Nvidia, has secured a favorable spot in line for the chipmaker’s latest products.\r.
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Meaning the progress in the next year or two will be “spectacular and surprising”. — - — 👉 Before you go 👋 If you want to keep up with the latest news on AI startups and how they’re changing the world, join 1000+ subscribers reading our newsletter for FREE! Link in bio. — - #jensenhuang #nvidia #nvidiaceo #artificialintelligence #mooreslaw #todayinai

The company ends the waitlist in Los Angeles, where nearly 300,000 people have expressed an interest in trying out the Alphabet-owned company’s self-driving cars.

At the GlobalFoundries Technology Summit 2024, the company brought together its customers and partners from around the world. The theme was “AI Everywhere” as AI has impacted everything from IoT to the datacenter. However, the focus was on its core markets: aerospace, defense and critical infrastructure, automotive, communications and data center infrastructure, industrial IoT, and mobile devices.

RF

One key technology for many of those markets is RF (Radio Frequency) chips for mobile devices, communications infrastructure, and aerospace. GF’s mainstream RF offerings use Silicon on Insulator (SOI) wafer technology. But GF also has Silicon Germanium (SiGe) and Gallium Nitride (GaN) processes as well. With this level of diverse RF technologies, the company is well positioned for future 5G NR cellular developments and beyond, including the growth of FR2 (above 24GHz) and FR3 (7.1GH to 24GHz) bands.

A team of AI researchers with Google’s DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.

Over the past several decades, political divides have become common in many countries—most have been labeled as either liberal or conservative. The advent of the internet has served as fuel, allowing people from either side to promote their opinions to a wide audience, generating anger and frustration. Unfortunately, no tools have surfaced to diffuse the tension of such a political climate. In this new effort, the team at DeepMind suggests AI tools such as LLMs may fill that gap.

To find out if LLMs could serve as effective mediators, the researchers trained LLMs called Habermas Machines (HMs) to serve as caucus mediators. As part of their training, the LLMs were taught to identify areas of overlap between viewpoints of people in opposing groups—but not to try to change anyone’s opinions.

It’s the easiest way yet for iOS users to use Google’s AI, and it comes with Gemini Live.

Could AGI be here by 2025? In a shocking new interview, Sam Altman — OpenAI’s CEO — just dropped some MAJOR revelations about their path to artificial general intelligence.

Unlike his usual careful corporate speak, Sam appears surprisingly confident about what’s ahead.

Continue reading “Sam Altman: ‘We Know How to Build AGI by 2025’ 🤯” »

The Tesla CEO said AI is a “significant existential threat.”

Akash Systems has signed a non-binding preliminary memorandum of terms with the U.S. Department of Commerce for $18.2 million in direct funding and $50 million in federal and state tax credits through the CHIPS Act. Although this isn’t yet a binding contract that will give the company the promised funds, it’s an important first step in the negotiation process for the Oakland-based startup, which shows that both the company and the U.S. government are gradually moving towards a formal agreement. According to Akash Systems (h/t Axios), it will use the funds to ramp up its operations for producing diamond-cooled semiconductors for AI, data centers, space applications, and defense markets.

Diamond-cooling technology goes deeper than just thermal paste with nano-diamond technology. For example, some use synthetic diamonds as the chip substrate, utilizing the material’s thermal conductivity to more efficiently move heat away from the processor. So, let’s look closer at Akash’s solution.