The Google DeepMind team has introduced aletheaA specialized AI agent designed to bridge the gap between competition-level mathematics and professional research. While the models achieved …
Generative AI
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Generative AI
Super Bowl LX: The Night LLM Went Completely Mainstream (And What It Really Teaches Us About AI)
Last updated on February 12, 2026 by Editorial Team Author(s): Nikhil Originally published on Towards AI. Super Bowl LX is the first time the foundation model and AI assistant were …
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If you have a spare $7,999 (plus a $250 deposit), and hate folding laundry, and you live in the Bay Area, year-and-a-half-year-old startup Weave has the robot for you: Isaac0. …
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Generative AI
ByteDance’s next-generation AI model can generate clips based on text, images, audio and video
Big Tech’s race to overtake the latest AI models continues with the launch of ByteDance’s next-generation video generator. In a blog postByteDance – the China-based company behind TikTok – says …
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We’re all guilty of pulling out our phones and watching stressful headlines or mind-numbing videos when we should be doing something else. We know it’s bad, but we still do …
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The new feature works in a few different ways. You can use text prompts, as you would with any other AI chatbot, to ask it to create a grocery list …
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But there are some signs of progress. I just finished a story about the economic case: a recent study nature energy Found that by 2040, EVs ranging from scooters to …
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DeepSeek’s breakout moment wasn’t China’s first open-source success. Alibaba’s Quan Lab had been releasing open-weight models for years. By September 2024, well before DeepSeek’s v3 launch, Alibaba was saying that …
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T-Mobile is preparing to test a new AI feature that translates live phone calls into more than 50 languages. live translation Launching in beta “this spring,” according to a press …
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Generative AI
How to Build a Matryoshka-Optimized Sentence Embedding Model for Ultra-Fast Retrieval with 64-Dimension Truncation
In this tutorial, we fine-tune a Sentence-Transformers embedding model using Matryoshka Representation Learning so that the initial dimensions of the vector carry the most useful semantic signals. We train with …