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.
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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.
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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.
The study isolated flow-related brain activity during a creative task: jazz improvisation. The findings reveal that the creative flow state involves two key factors: extensive experience, which leads to a network of brain areas specialized for generating the desired type of ideas, plus the release of control— letting go—to allow this network to work with little or no conscious supervision.
For one, it reached over a million users in five days of its release, a mark unmatched by even the most historically popular apps like Facebook and Spotify. Additionally, ChatGPT has seen near-immediate adoption in business contexts, as organizations seek to gain efficiencies in content creation, code generation, and other functional tasks.
But as businesses rush to take advantage of AI, so too do attackers. One notable way in which they do so is through unethical or malicious LLM apps.
Unfortunately, a recent spate of these malicious apps has introduced risk into an organization’s AI journey. And, the associated risk is not easily addressed with a single policy or solution. To unlock the value of AI without opening doors to data loss, security leaders need to rethink how they approach broader visibility and control of corporate applications.
While I believe Tesla’s move to open its Supercharger network to other automakers is ultimately going to have a great impact on EV adoption, it is also a smart business move from Tesla.
Here’s the business behind Tesla opening its Supercharger network.
Tesla, to no fault of its own, has been using its Supercharger network as a moat in the North American EV market.
Professor Nadeem Sarwar is Corporate Vice President, Co-Founder and Head, Transformational Prevention Unit, Novo Nordisk (https://www.novonordisk.com/partnerin…), Co-Chair UK Dementia Mission (a UK Government Ministerial appointment) and Honorary Professor, University of Edinburgh Medical School.
Professor Sarwar joined Novo Nordisk in June 2023 as Corporate Vice President, Co-Founder and Head of Novo Nordisk’s new Transformational Prevention Unit (TPU) whose mission is to increase obesity-free life years, so people live healthier and longer lives. To achieve this, the TPU is establishing an integrated ecosystem that will deliver science-first, empowering, and scalable commercial solutions that predict and pre-empt obesity and its consequences through innovative partnerships, with solutions intending to push the boundaries of what is possible with drugs, genomics, microbiome, digital health, and behavioral science.
Professor Sarwar’s expertise stems from scientific and business models at the intersection of genomics, data sciences and digital technologies for therapeutic and health innovation and he utilizes this expertise to steer the strategy and implementation of the predictive and pre-emptive obesity solutions being developed by the TPU, spanning both R\&D and commercial strategy.
Professor Sarwar joins Novo Nordisk with extensive executive experience in academia (Cambridge, Edinburgh), pharma (Pfizer, Eisai, Novo Nordisk), biotech (Genetics Guided Demantia Discovery — G2D2), company incubation (Eisai Innovation Biolabs), and government (UK Dementia Mission). He has successfully built and led organizations across the UK, US, Japan, and Denmark; and contributed to delivery of therapeutics into clinical trials for cardiometabolic diseases, oncology, SLE, COVID-19 and neurodegeneration.
Professor Sarwar’s research has been published in leading medical journals (eg, NEJM, Lancet, JAMA), presented at international meetings (eg, American Diabetes Association; World Dementia Council), and profiled by international media (eg, BBC, Forbes). He has provided expert insights for the UK Department of Health, the World Economic Forum, and the US National Academies of Sciences.
Apart from his current position at Novo Nordisk, Professor Sarwar holds the position of Honorary Professor at the University of Edinburgh Medical School. He also currently serves on the UK Medical Research Council (MRC) Neuroscience and Mental Health Board, the UK MRC Prevention Task and Finish Group, the Health Data Industry Expert Sub-Group, and the UK Life Sciences Council.
