Lifeboat Foundation

Pyramid Analytics, an AI business analytics company, said on Monday it has raised $50 million in new financing from BlackRock, the world’s biggest asset manager.

The first casualties of generative AI offer clues as to when a business may be strengthened by the technology—and when it will be upended. Examining them suggests three lessons for firms.

Business spending on generative AI surged 500% this year, from $2.3 billion in 2023 to $13.8 billion, according to data released by Menlo Ventures on Wednesday.

Founder and CEO of Figure AI Brett Adcock says that robotics is now an AI business, and that they have access to all the H100s they want from Microsoft, while their partnership with OpenAI will lead to robots that can reason and plan. — - — 👉 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. — - — #brettadcock #figureai #robots #robotics #airobot #todayinai

Cybersecurity researchers have shed light on a new stealthy malware loader called BabbleLoader that has been observed in the wild delivering information stealer families such as WhiteSnake and Meduza.

BabbleLoader is an “extremely evasive loader, packed with defensive mechanisms, that is designed to bypass antivirus and sandbox environments to deliver stealers into memory,” Intezer security researcher Ryan Robinson said in a report published Sunday.

Evidence shows that the loader is being used in several campaigns targeting both English and Russian-speaking individuals, primarily singling out users looking for generic cracked software as well as business professionals in finance and administration by passing it off as accounting software.

We are now more connected than ever, but also more lonely. Could AI companionship be the cure? In this episode, Emily Chang explores the future tech behind a growing market of relationships-on-demand.

Technology that once seemed like science fiction is rapidly becoming reality, transforming the very essence of our existence. In this four-part series, Emily Chang unravels the future of being human in an age of unprecedented innovation.

Continue reading “The Seductive Promise of Love on Demand | Posthuman with Emily Chang” »

Jensen Huang says that a trillion dollars is being spent on data centers to enable the next, biggest wave of AI to revolutionize business productivity. — - — 👉 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 #datacenter #datacenters #aidata #artificialintelligence #aitakeover #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.