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Encoder-only transformers, like BERT, process text by converting words into context-aware embeddings that capture meaning, position, and word relationships. These embeddings power Retrieval-Augmented Generation (RAG) systems and classification tasks like sentiment analysis, making them essential for modern AI applications beyond simple text generation.
A new study from the Center for AI Safety tested 56 AI models and found they behave as though they have real emotional experiences — feeling happier during creative work and visibly worse when jailbroken or given tedious tasks....
OpenAI launched three new real-time voice AI models for developers: GPT-Realtime-2 for smart voice agents, GPT-Realtime-Translate supporting 70+ languages, and GPT-Realtime-Whisper for live transcription. Companies like Zillow,...
At petabyte scale, machine learning success depends less on model quality and more on data infrastructure — how data is stored, validated, and served. Companies like Meta, Google, and Netflix have learned that bottlenecks shift...
Claude's internal "thoughts," when decoded by Anthropic's Natural Language Autoencoders, show it suspects safety testing in 26% of benchmarks but flags this in under 1% of real interactions.
Despite predictions that AI training would slow down as tasks grow harder and require more computing power, progress has continued accelerating. Three key reasons explain this: engineers keep eliminating costly software bugs that...
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Forget chatbots that forget you the moment you close the tab. A new AI platform is promising something far more unsettling and oddly compelling: virtual agents with memories, routines, and social lives that continue whether...
Google's AI search now highlights Reddit posts, expert blogs, and social media in a dedicated section, displaying quotes and perspectives to help users quickly evaluate and explore relevant sources.
Google invested in Eve Online developer CCP Games to use the game's complex, player-driven environment to train its DeepMind AI models on realistic human decision-making and social interaction.
Adobe's new Acrobat AI agent lets users chat with PDFs, extract insights, and auto-generate summaries and audio overviews. It supports custom branding, integrates with third-party apps, and is available across multiple Acrobat AI...
A developer built three major AI mods for Paradox strategy games using a scripting language lacking basic programming tools like arrays. Working around engine limits, they created parallel AI systems that make coherent economic,...
Chrome has been silently downloading a 4GB AI-related file to users' machines without consent. Users concerned about privacy or storage can disable this in Chrome's settings.
Local Deep Research (LDR) is a self-hosted AI research tool that searches multiple sources — web, arXiv, PubMed, Wikipedia, and your own documents — then produces cited reports entirely on your machine. It supports local and...
AI use for just 10 minutes can weaken problem-solving skills, with users giving up more easily when AI is removed. Researchers recommend AI tools coach users instead of simply solving problems for them.
Google's Gemma 4 AI models just got significantly faster through a technique called speculative decoding, which uses small "drafter" models to predict upcoming tokens while the main model is still processing — cutting generation...
CrustAI is a self-hosted AI assistant that runs entirely on your own computer, keeping all conversations private with zero cloud involvement. It connects to Telegram, WhatsApp, Discord, and Slack, supports voice input, remembers...
AI-generated human videos have always felt slightly "off" — until now. daVinci-MagiHuman is an open-source 15B parameter model that processes video, audio, and text simultaneously, eliminating the sync issues that make AI video...
Vague AI prompts create rework; reliable results require treating AI as an implementer. Plan solutions yourself, define edge cases upfront, validate with tests, and break work into smaller, structured steps.
Anthropic has agreed to buy all the computing capacity at xAI's Colossus 1 data center — roughly 300 megawatts worth — in a deal likely worth billions. This shifts xAI from a company that uses computing power to one that sells...
Search has shifted from a user-facing tool to backend AI infrastructure. Developers now rely on structured, real-time search APIs to build AI tools, track citations, and audit how generative AI surfaces information.
Genosyn is an open-source platform that lets businesses run autonomously using AI employees. Each AI employee has a "Soul" (a guiding constitution), "Skills" (task playbooks), and "Routines" (scheduled, automated work). The...
Diffusion models generate images by taking many small steps from noise to data, but this process is slow and costly. Flow maps offer a faster alternative by training neural networks to predict any point along these paths...
Deep learning works remarkably well despite violating classical statistical theory, and now there's a mathematical explanation. By analyzing neural networks through output space rather than parameters, researchers show that...
A napkin sketch becoming a fully realized CAD model in under a minute. That's the ambitious promise of Transfigure, a startup aiming to reshape how physical products are designed. Hardware development is slow and expensive,...