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Predictable improvements in intelligence. He wondered if he was crazy or in a cult when he tried explaining it to others and they didn’t understand it. — - — 👉 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. — - — #samaltman #openai #gpt3 #gpt4 #gpt4o #artificialintelligence #scalemodels #scaling #todayinai
Mark Zuckerberg says thatInstagram Reels will now start to automate dubbing with AI, starting with English and Spanish, and shows a demonstration. — - — 👉 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. — - — #markzuckerberg #zuck #aidubbing #largelanguagemodels #todayinai
The chess pieces of artificial intelligence are being dramatically rearranged. While previous iterations of AI focused on making predictions or generating content, we’re now witnessing the emergence of something far more sophisticated: AI agents that can independently perform complex tasks and make decisions. This third wave of AI, known as ‘agentic AI,’ represents a fundamental shift in how we think about and interact with artificial intelligence in the workplace.
To appreciate where we’re heading, it’s essential to understand where we’ve been. “The first wave was really predictive AI,” explains Silvio Savarese, Executive Vice President and Chief Scientist of Salesforce AI Research. This initial wave enabled businesses to forecast trends and make data-driven decisions. The second wave brought us generative AI, which Savarese describes as the ability to “generate content and allow conversations with humans.” Now, we’re entering the third wave — agentic AI — where AI systems can autonomously execute tasks and interact with other AI agents.
To many small-business owners, AI still seems like something out of a sci-fi film—abstract, intimidating and not applicable to their lives. While there are many AI business tools available on the market today, most tools aren’t accessible or intuitive enough for the average small-business owner.
In theory, AI can help some SMBs with marketing, product adjustments, bookkeeping, decision-making and more. However, these tools are based on global data found on the web and are blind to business-specific data. Therefore, they don’t take important parameters like the small business’s location, industry and size into account.
To harness the true potential of AI and obtain truly valuable insights, AI systems need detailed information about the business history and future goals of the SMB. This tailored approach ensures that AI tools are not just functional but are strategic assets that contribute meaningfully to business growth and decision-making.
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.
