Lifeboat Foundation

Those who rush to leverage AI’s power without adequate preparation face difficult blowback, scandals, and could provoke harsh regulatory measures. However, those who have a balanced, informed view on the risks and benefits of AI, and who, with care and knowledge, avoid either complacent optimism or defeatist pessimism, can harness AI’s potential, and tap into an incredible variety of services of an ever-improving quality.

These are some words from the introduction of the new book, “Taming the machine: ethically harness the power of AI”, whose author, Nell Watson, joins us in this episode.

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McDonald’s (MCD) will put an end to its AI drive-thru partnership with IBM (IBM) in late July as many customer complaints over botched orders began to mount. The fast-food chain does have plans to continue implementing AI into its business model down the line.

The Morning Brief Anchors Brad Smith and Seana Smith break down the latest developments for McDonald’s and what it means for the company moving forward.

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In a somewhat unexpected turn of events, the ongoing controversy surrounding Photoshop and Substance 3D developer Adobe has extended beyond negative social media comments and Twitter Community Notes and into real life, with the company getting sued by the US government on the grounds of the former’s questionable business practices.

The federal court complaint, filed by the Department of Justice following a referral from the Federal Trade Commission, alleges that Adobe has been harming its users by enrolling them in its default subscription plan without clearly disclosing important terms regarding the cancellation process, effectively making one’s attempt to cancel their subscription a massive pain in the back.

Researchers in the Netherlands are developing ‘virtually painless’ injections without needles in what they hope is a breakthrough that will ease fear and encourage vaccinations.

#News #Reuters #BubbleGun #NeedleFree #Vaccine.

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Salesforce recently announced that it has introduced more than 50 AI-powered tools among its workforce and reported that these tools have collectively saved all of its employees in excess of 50,000 hours—or 24 years’ worth—of working time in just three months.

As a company, Salesforce serves as an especially compelling case study for the impact of AI on work—not only because the company tests tools on their own workforce, but because so many others rely on Salesforce’s products to do their jobs each day. Simply put: Salesforce is in the business of work.

Salesforce has more than 70,000 employees worldwide—a 30% increase since 2020. And the software giant builds the products that are used by employees at some 150,000 workplaces, from small businesses to Fortune 500 companies; from sales and customer service teams to marketing and tech teams.

What if you could code just by talking out loud? GitHub CEO Thomas Dohmke shows how, thanks to AI, the barrier to entry to coding is rapidly disappearing — and creating software is becoming as simple (and joyful) as building LEGO. In a mind-blowing live demo, he introduces Copilot Workspace: an AI assistant that helps you create code when you speak to it, in any language.

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership.

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When it comes to quantum computing, that chilling effect on research and development would enormously jeopardize U.S. national security. Our projects received ample funding from defense and intelligence agencies for good reason. Quantum computing may soon become the https://www.cyberdefensemagazine.com/quantum-security-is-nat...at%20allow, codebreaking%20attacks%20against%20traditional%20encryption" rel="noopener" class="">gold standard technology for codebreaking and defending large computer networks against cyberattacks.

Adopting the proposed march-in framework would also have major implications for our future economic stability. While still a nascent technology today, quantum computing’s ability to rapidly process huge volumes of data is set to revolutionize business in the coming decades. It may be the only way to capture the complexity needed for future AI and machine learning in, say, self-driving vehicles. It may enable companies to hone their supply chains and other logistical operations, such as manufacturing, with unprecedented precision. It may also transform finance by allowing portfolio managers to create new, superior investment algorithms and strategies.

Given the technology’s immense potential, it’s no mystery why China committed what is believed to be more than https://www.mckinsey.com/featured-insights/sustainable-inclu…n-quantum” rel=“noopener” class=””>$15 billion in 2022 to develop its quantum computing capacity–more than double the budget for quantum computing of EU countries and eight times what the U.S. government plans to spend.

In a fireside chat with Snowflake’s CEO, Huang described how the two companies will help enterprises process their data with accelerated computing to generate business insights.

Applied in this way, it’s not just generative AI—this is transformational AI. It goes beyond accelerating productivity; it accelerates innovation by sparking new business strategies and revamping existing operations, paving the way for a new era of autonomous enterprise.

Keep in mind that not all Large Language Models (LLMs) can be tailored for genuine business innovation. Most models are generalists that are trained on public information found on the internet and are not experts on your particular brand of doing business. However, techniques like Retrieval Augmented Generation (RAG) allow for the augmentation of general LLMs with industry-specific and company-specific data, enabling them to adapt to anyone’s requirements without extensive and expensive training.

We are still in the nascent stages of advanced AI adoption. Most companies are grappling with the basics—such as implementation, security and governance. However, forward-thinking organizations are already looking ahead. By reimagining the application of generative AI, they are laying the groundwork for businesses to reinvent themselves, ushering in an era where innovation knows no bounds.