Lifeboat Foundation

We’re still years away from seeing physical quantum computers break into the market with any scale and reliability, but don’t give up on deep tech just yet. The market for high-level quantum computer science — which applies quantum principles to manage complex computations in areas like finance and artificial intelligence — appears to be quickening its pace.

In the latest development, a startup out of San Sebastian, Spain, called Multiverse Computing has raised €25 million (or $27 million) in an equity funding round led by Columbus Venture Partners. The funding values the startup at €100 million ($108 million), and it will be used in two main areas. The startup plans to continue building out its existing business working with startups in verticals like manufacturing and finance, and it wants to forge new efforts to work more closely with AI companies building and operating large language models.

In both cases, the pitch is the same, said CEO Enrique Lizaso Olmos: “optimization.”

Under the proposal, Lockheed would pay $1 per share of Terran Orbital stock it does not currently own, valuing the company at a little under $200 million. Lockheed would pay more than $70 million to buy outstanding stock warrants and assume or repay $313 million in Terran Orbital debt.

“Terran represents an attractive opportunity for Lockheed Martin, and we are treating the potential Transaction as a strategic priority,” Lockheed stated in the letter. “Terran’s superior capabilities and business momentum align with one of Lockheed Martin Space’s strategic growth priorities and the Transaction would accelerate that strategy.”

Underlying the storm of hype and funding in the AI sector right now is a scarce resource: data, created by old-fashioned humans, that’s needed to train the huge models like ChatGPT and DALL-E that generate text and imagery.

That demand is causing all sorts of drama, from lawsuits by authors and news organizations that say their work was used by AI companies without their permission to the looming question of what happens when the internet fills up with AI-generated content and AI creators are forced to use that to train future AI.

And, of course, it’s also fueling new business deals as AI developers rush to lock down repositories of human-generated work that they can use to train their AI systems. Look no further than this wild scoop from Bloomberg: that an undisclosed AI outfit has struck a deal to pay Reddit $60 million per year for access to its huge database of users’ posts — perhaps the surest sign yet that user data is the key commodity in the AI gold rush.

The Rebellionaire Road Rally has made its way down to Austin, TX. This time we’re joined by Farzad (@farzyness) to test out Tesla FSD v12 on the streets of the greater Austin area. This is part 2 of the journey with Farzad joining in the car adding helpful commentary.

#Tesla #rebellionaire.

Continue reading “Tesla FSD v12 drives like a teenager!” »

Without a more comprehensive set of big data, AI algorithms are more likely to generate an inaccurate or incomplete data model. Insufficient data leads to a model that is not capable of predicting outcomes with the level of accuracy that’s needed in the real world.

Anyone with experience in the art market also knows that markets can fluctuate without any indication as to why. AI will not have the answer. Tech entrepreneur Boris Pevzner, founder of AI-powered data platform Live Art, asserts that while AI is a tool that can be used as an indicator, it is not something that can predict any real-world auction prices.

Although AI is becoming increasingly prevalent in the art business, it does not have to be seen as a threat. Many people view AI as a dangerous tool, but AI does not need to be perceived in this way. Instead of a replacement for human expertise, we should see it as a tool of advancement to be used alongside humans to improve the quality of their work.

Lethal drones with facial recognition, armed robots, autonomous fighter jets: we’re at the dawn of a new age of AI-powered warfare, says technologist Alexandr Wang. He explores why data will be the secret weapon in this uncharted landscape and emphasizes the need to consider national security when developing new tech — or potentially face all-out AI warfare.

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

Continue reading “War, AI and the New Global Arms Race | Alexandr Wang | TED” »

The actress’s baby food brand is expanding into new categories and eyeing an IPO.

The University of Chicago Medicine is among the first 30 institutions in the country to offer tumor-infiltrating lymphocyte (TIL) therapy for advanced melanoma, immediately activating as an authorized treatment center after federal regulators approved the treatment on February 16, 2024.

Effortless, enjoyable productivity is a state of consciousness prized and sought after by people in business, the arts, research, education and anyone else who wants to produce a stream of creative ideas and products. That’s the flow, or the sense of being “in the zone.” A new neuroimaging study from Drexel University’s Creativity Research Lab is the first to reveal how the brain gets to the creative flow state.

The study is published in the journal Neuropsychologia.

Continue reading “Your brain in the zone: A new neuroimaging study reveals how the brain achieves a creative flow state” »

Some experiments with chatbots are more useful than others.