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25 May

Big tech has distracted world from existential risk of AI, says top scientist

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Big tech has succeeded in distracting the world from the existential risk to humanity that artificial intelligence still poses, a leading scientist and AI campaigner has warned.Speaking with the Guardian at the AI Summit in Seoul, South Korea, Max Tegmark said the shift in focus from the extinction of life to a broader conception of safety of artificial intelligence risked an unacceptable delay in imposing strict regulation on the creators of the most powerful programs.“In 1942, Enrico Fermi built the first ever reactor with a self-sustaining nuclear chain reaction under a Chicago football field,” Tegmark, who trained as a physicist,…

25 May

TMLR Paper “Conformal Prediction under Ambiguous Ground Truth” • David Stutz

stp2y0 CommentsGenAI

Conformal prediction uses a held-out, labeled set of examples to calibrate a classifier to yield confidence sets that include the true label with user-specified probability. But what happens if even experts disagree on the ground truth labels. Commonly, this is resolved by taking the majority voted label from multiple expert. However, in difficult and ambiguous tasks, the majority voted label might be misleading and a bad representation of the underlying true posterior distribution. In this paper, we introduce Monte Carlo conformal prediction which allows to perform conformal calibration directly against expert opinions or aggregate statistics thereof. Abstract Conformal Prediction (CP)…

25 May

Microsoft’s CTO on How to Build Enduring Businesses in the AI Era

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This week I flew out to Seattle to attend Microsoft's developer conference, Build. Read my full report and Evan Armstrong's analysis.Kevin Scott is not your average CTO. He says things like “chill” and “shit,” and he wears button-down shirts with funky patterns. Oh yeah, and he builds supercomputers. In his spare time, he likes to do woodworking.Scott was the first person at Microsoft to recognize the importance of AI and instigated its OpenAI partnership, which has become the single most important strategic move at Microsoft since the dot-com era. He's hopeful that in the next two to three years, a model…

25 May

The Role of AI in Big Data Quality Management

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In the realm of big data quality management, the convergence of AI technologies has opened up avenues for unparalleled levels of data accuracy and reliability. By harnessing the power of artificial intelligence, organizations can now automate the process of detecting and correcting errors in massive datasets with unprecedented speed and efficiency. Through advanced machine learning algorithms, AI systems can continuously learn from data patterns, enhancing their ability to identify inconsistencies and anomalies that might have otherwise gone unnoticed by human analysts. AI-driven big data quality management solutions offer a proactive approach to maintaining data integrity by predicting potential issues before…

25 May

Watermarking AI-generated text and video with SynthID

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Company Published 14 May 2024 Announcing our novel watermarking method for AI-generated text and video, and how we’re bringing SynthID to key Google productsGenerative AI tools — and the large language model technologies behind them — have captured the public imagination. From helping with work tasks to enhancing creativity, these tools are quickly becoming part of products that are used by millions of people in their daily lives.These technologies can be hugely beneficial but as they become increasingly popular to use, the risk increases of people causing accidental or intentional harms, like spreading misinformation and phishing, if AI-generated content isn’t…

25 May

On the Stepwise Nature of Self-Supervised Learning

stp2y0 CommentsAIneural tangent kernel, representations, self-supervised, ssl, stepwise, training

Figure 1: stepwise behavior in self-supervised learning. When training common SSL algorithms, we find that the loss descends in a stepwise fashion (top left) and the learned embeddings iteratively increase in dimensionality (bottom left). Direct visualization of embeddings (right; top three PCA directions shown) confirms that embeddings are initially collapsed to a point, which then expands to a 1D manifold, a 2D manifold, and beyond concurrently with steps in the loss. It is widely believed that deep learning’s stunning success is due in part to its ability to discover and extract useful representations of complex data. Self-supervised learning (SSL) has…

25 May

Scarlett Johansson’s complaint to OpenAI is a new benchmark in the development of machine intelligence

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Over 2,000 years ago, the ancient Greek philosopher Aristotle came up with a way to build arguments. He called this “rhetoric” and described how logic in the text of an argument or speech, the needs and understanding of the audience, and the authority of the speaker could be used as strategies to persuade others. Rather than just relying on logic in the argument or trust in the speaker, politicians and actors have long recognised that there is nothing as effective as using emotion to win the hearts and, consequently, minds of an audience. With the launch of GTP-4o last week,…

25 May

Sophisticated data management tools: PwC’s tax and sustainability key – SiliconANGLE

stp2y0 CommentsGenAIBrian Njuguna, How PwC's advanced data tools are transforming business decision-making, SiliconANGLE

Integrating tax and sustainability with advanced data management tools is transforming traditional business practices into strategic front-office functions. Leveraging data is critical, especially in the current highly regulated environment. PricewaterhouseCoopers International Ltd. is addressing this need by providing sophisticated data management tools to maximize business ROI, according to Justin Femmer (pictured, left), data automation and governance leader at PwC US. “Most companies’ tax functions and sustainability functions are looking to become more strategic,” Femmer said. “They don’t just want to be a back office. They want to move to the front office, so to speak. They want to be involved…

25 May

The US Is Forming a Global AI Safety Network With Key Allies

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The US is widely seen as the global leader in artificial intelligence, thanks to companies like OpenAI, Google, and Meta. But the US government says it needs help from other nations to manage the risks posed by AI technology.At an international summit on AI Safety in Seoul on Tuesday, the US delivered a message from Secretary of Commerce Gina Raimondo announcing that a global network of AI safety institutes spanning the US, UK, Japan, Canada, and other allies will collaborate to contain the technology’s risks. She also urged other countries to join up.“Recent advances in AI carry exciting, life-changing potential…

25 May

Shaping the Future With Data and AI: Announcing the 2024 Databricks GenAI Innovation Award Finalists

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The annual Data Team Awards showcase the remarkable efforts of top global enterprise data teams committed to tackling some of today's toughest business challenges.This year, we received more than 200 nominations across six categories, from companies representing a diverse array of industries and regions. In the lead-up to the Data + AI Summit, we'll showcase the finalists from each category, highlighting those pioneering the advances in data and AI.New this year, the GenAI Award represents the widespread enterprise adoption of large language models (LLMs). As LLMs transform industries by enhancing productivity, personalizing user experiences, and opening up new possibilities in…