Author: advancedainews

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The AI landscape continues to evolve at a rapid pace, with recent developments challenging established paradigms. Early in 2025, Chinese AI lab DeepSeek unveiled a new model that sent shockwaves through the AI industry and resulted in a 17% drop in Nvidia’s stock, along with other stocks related to AI data center demand. This market reaction was widely reported to stem from DeepSeek’s apparent ability to deliver high-performance models at a fraction of the cost of rivals in the U.S., sparking…

On Friday, Google released API pricing for Gemini 2.5 Pro, an AI reasoning model with industry-leading performance on several benchmarks measuring coding, reasoning, and math. For prompts up to 200,000 tokens, Gemini 2.5 Pro costs $1.25 per million input tokens (roughly 750,000 words, longer than the entire “Lord of The Rings” series) and $10 per million output tokens. For prompts greater than 200,000 tokens (which most of Google’s competitors don’t support), Gemini 2.5 Pro costs $2.50 per million input tokens and $15 per million output tokens. That pricing makes Gemini 2.5 Pro more expensive for developers than any other AI…

#vjepa #meta #unsupervisedlearning V-JEPA is a method for unsupervised representation learning of video data by using only latent representation prediction as objective function. Weights & Biases course on Structured LLM Outputs: OUTLINE: 0:00 – Intro 1:45 – Predictive Feature Principle 8:00 – Weights & Biases course on Structured LLM Outputs 9:45 – The original JEPA architecture 27:30 – V-JEPA Concept 33:15 – V-JEPA Architecture 44:30 – Experimental Results 46:30 – Qualitative Evaluation via Decoding Blog: Paper: Abstract: This paper explores feature prediction as a stand-alone objective for unsupervised learning from video and introduces V-JEPA, a collection of vision models trained…

❤️ Check out Lambda here and sign up for their GPU Cloud: 📝 The paper is available here: 📝 My paper on simulations that look almost like reality is available for free here: Or this is the orig. Nature Physics link with clickable citations: 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Alex Balfanz, Alex Haro, B Shang, Benji Rabhan, Gaston Ingaramo, Gordon Child, John Le, Juan Benet, Kyle Davis, Loyal Alchemist, Lukas Biewald, Martin, Michael Albrecht, Michael Tedder, Owen Skarpness, Richard Sundvall, Taras Bobrovytsky,, Thomas Krcmar, Tybie Fitzhugh, Ueli Gallizzi. If…

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Roman Yampolskiy is an AI safety researcher and author of a new book titled AI: Unexplainable, Unpredictable, Uncontrollable. Please support this podcast by checking out our sponsors: – Yahoo Finance: – MasterClass: to get 15% off – NetSuite: to get free product tour – LMNT: to get free sample pack – Eight Sleep: to get $350 off TRANSCRIPT: EPISODE LINKS: Roman’s X: Roman’s Website: Roman’s AI book: PODCAST INFO: Podcast website: Apple Podcasts: Spotify: RSS: Full episodes playlist: Clips playlist: OUTLINE: 0:00 – Introduction 2:20 – Existential risk of AGI 8:32 – Ikigai risk 16:44 – Suffering risk 20:19 -…

Prompt: A low-angle shot captures a flock of pink flamingos gracefully wading in a lush, tranquil lagoon. The vibrant pink of their plumage contrasts beautifully with the verdant green of the surrounding vegetation and the crystal-clear turquoise water. Sunlight glints off the water’s surface, creating shimmering reflections that dance on the flamingos’ feathers. The birds’ elegant, curved necks are submerged as they walk through the shallow water, their movements creating gentle ripples that spread across the lagoon. The composition emphasizes the serenity and natural beauty of the scene, highlighting the delicate balance of the ecosystem and the inherent grace of…

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As artificial intelligence (AI) continues to transform industries across the globe, the EU has taken significant strides to regulate its deployment, use and implementation and to mitigate associated risks. The 2024 AI Act (Regulation (EU) 2024/1689), presented by the European Commission (EC) as “the first-ever comprehensive legal framework on AI worldwide,” creates a set of risk-based rules regarding specific uses of AI. It came into effect on August 1, 2024, and will be fully enforceable in August 2026. Certain provisions (mostly prohibition on use) took effect in advance, on February 2, 2025. On February 4 and 6, 2025, the European…

A new paper co-authored by the former CEO of Google has outlined a future where AI training data centers could be blown up by foreign nations.Eric Schmidt, along with Scale AI CEO Alexandr Wang and the Center for AI Safety’s Dan Hendrycks, warned that “destabilizing AI developments could rupture the balance of power and raise the odds of great-power conflict.”The paper lays out the concept of Mutual Assured AI Malfunction (MAIM), modeled on nuclear mutual assured destruction (MAD), where any “aggressive bid for unilateral AI dominance is met with preventive sabotage by rivals.”This could involve espionage, cyberattacks, or kinetic strikes…