Why it takes 3,295 people to write one Google AI paper
Gemini 2.5 paper hides Easter egg in massive author list-but why so many contributors?
// Artificial Intelligence & Technology Feed
Last Updated: July 17, 2025
Gemini 2.5 paper hides Easter egg in massive author list-but why so many contributors?
Your data could soon be used to spike flight costs, as Delta expands AI pilot.
Evidence suggests health department gave preferential treatment to xAI, NAACP says.
H20 chips, designed to skirt export bans, are back after Trump meets with CEO.
Coders spent more time prompting and reviewing AI generations than they saved on coding.
Grok 4's "reasoning" shows cases where the chatbot consults Musk posts to answer divisive questions.
Popular chatbots serve as poor replacements for human therapists, but study authors call for nuance.
AI police tool is designed to avoid accountability, watchdog says.
EU rules ask tech giants to publicly track how and when AI models go off the rails.
xAI claims new multi-agent model hits top benchmarks as Nazi controversy lingers.
Google is making it easier to create videos with Gemini, but you only get a few shots per day.
Soundslice caught OpenAI's bot telling users about a fake music notation feature-then built it.
Cloudflare pushes Google to separate bots for AI Overviews and search indexing.
AI craze makes Nvidia the most valuable publicly traded company in history.
X removed many harmful Grok posts but not before they reached tens of thousands.
Lawyers fined $6,000, while Lindell lost $2.3 million defamation verdict.
Several definitions make measuring "human-level" AI an exercise in moving goalposts.
Important changes to Android devices took effect starting Monday.
Reinforcement learning, explained with a minimum of math and jargon.
Zuckerberg and company talked up another supposed tech revolution four short years ago.
County health department accused of turning a "blind eye" to xAI's alleged pollution.
Google and TikTok have rules against this sort of thing, but it doesn't seem to matter.
X says AI can supercharge community notes, but that comes with obvious risks.
What are the odds NYT will access your ChatGPT logs in OpenAI court battle?
Reddit confirmed the nudify app's links have been blocked since 2024.
The one vote backing moratorium on state AI laws came from Thom Tillis, not Cruz.
Cloudflare now beta testing pay-per-crawl feature to stop endless AI scraping.
A supposed band called The Velvet Sundown has released two albums of AI slop this month.
Rudderless Copyright Office has taken on new prominence during the AI boom.
Meta may defeat authors torrenting claim due to lack of evidence.
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OpenAI will start using Googles cloud infrastructure for ChatGPT and its API in several countries, including the US, Japan, the Netherlands, Norway, and the UK.Microsoft, CoreWeave, and Oracle remain key partners for providing computing power. The move comes as demand for GPU cap...
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OpenAI has upgraded its image editing API with a feature called "High Input Fidelity," designed to preserve fine details like faces, logos, and other intricate elements during edits.Users can now make targeted changes to specific features such as facial expressions, clo...
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OpenAI is developing new ChatGPT agents that let users create and edit presentations and spreadsheets directly in the chat, according to The Information, which spoke with someone who has access to the features.The files are compatible with PowerPoint and Excel, but don't req...
Grok Raises Questions, Meta Poaches Talent, California Reframes AI Regulations, Multi-Agent Systems Get Stronger
Reinforcement Learning Heats Up, White House Orders Muscular AI Policy, Computer Use Gains Momentum, Fine Control of Fine-Tuning
DeepSeek Sharpens Its Reasoning: DeepSeek-R1, an affordable rival to OpenAI''s o1
Tumbling Training Costs, Desktop AI Supercomputer, Tighter AI Export Restrictions, Improved Contrastive Loss
How to Make LLMs Commit Blackmail, Robotic Beehive, Walmart''s AI App Factory, Training Web Agents
Amazon''s $100 Billion Bet, Meta''s Sensor-Packed Glasses, Anthropic''s Reason-Free Reasoning, Google''s Extreme Weather Prediction
Judge Rules Training AI on Copyrighted Works Is Fair Use, Agentic Biology Evolves, Meta Befriends Alexandr Wang
Apple Sharpens Its GenAI Profile, Hollywood Joins Copyright Fight, OpenAI Ups Reasoning Quotient, LLM Rights Historical Wrongs
FLUX.1 Kontext''s Consistent Characters, Benchmarking Costs Climb, Mary Meeker''s Action-Packed AI Report, Better Video Gen
DeepSeek-R1 Refreshed, AI''s Energy Conundrum, Agents Get Phished, Machine Translation in Action
Claude 4 Advances Code Gen, How DeepSeek Built V3 For $5.6m, Google I/O Roundup, O''Reilly Versus OpenAI
Codex''s Robot Dev Team, Grok''s Fixation on South Africa, Saudi Arabia''s AI Power Play, 4-Bit Efficiency With 16-Bit Accuracy
Recipes For Reasoning, Open and Compact Code Generator, Looser AI Regulations, More Factual Output
ChatGPT Grovels, Qwen3 Takes on DeepSeek-R1, Johnson & Johnson Reveals AI Strategy, Easy Reasoning Hack
OpenAI''s Hit Image Generator, Hot AI Startups, Better Recommendations, Music Generation for Pros
OpenAI''s Five New Models, Hugging Face''s Open Robot, U.S. Tightens Grip on AI Chips, Text-Only LLMs Go Multimodal
Google Unveils Gemini 2.5, MCP Gains Momentum, Behind Sam Altman''s Fall and Rise, LLMs That Understand Misspellings
Inside the Mind of Claude, Llama 4''s Mixture of Vision-Language Experts, More Open Multimodal Models, Neural Net for Tabular Data
Open Voice-to-Voice With Vision, ChatGPT Creates Emotional Bonds, Human Action in 3D, Web Scrapers Caught in Maze
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Ex-Waymo engineers launch Bedrock Robotics with $80M to automate construction
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ByteDance introduces Astra, an innovative dual-model architecture revolutionizing robot navigation in complex indoor environments.
MIT introduces SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning.
Automated failure attribution is a crucial component in the development lifecycle of Multi-Agent systems. It has the potential to transform the challenge of identifying what went wrong and who is to blame from a perplexing mystery into a quantifiable and analyzable problem
By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training strategies like diffusion forcing and frame local attention, researchers from Adobe Research successfully overcome the long-standing ch...
Zhipu.AI open-sources faster GLM models (8x speedup), launches Z.ai, aiming for global expansion, potentially ahead of IPO.
The AI video generation landscape is shifting from capability to profitability, challenging OpenAI Soras dominance. Competitors are surpassing Sora in quality and efficiency, with users preferring alternatives. The focus is now on improvements like precise control and style custo...
Nvidia will launch Jetson Thor for humanoid robots in H1 2025, entering a growing market where Google is also active. The robotics sector is projected for substantial growth. Nvidia offers integrated hardware and software solutions. Simultaneously, Chinas rapidly developing domes...
A research team introduces Automated Search for Artificial Life (ASAL). This novel framework leverages vision-language FMs to automate and enhance the discovery process in ALife research.
Researchers from the University of Texas at Austin and NVIDIA proposes upcycling approach, an innovative training recipe enables the development of an 8-Expert Top-2 MoE model using Llama 3-8B with less than 1% of the compute typically required for pre-training.
A DeepMind research team introduces JetFormer, a Transformer designed to directly model raw data. This model maximizes the likelihood of raw data without depending on any pre-trained components, and is capable of both understanding and generating text and images seamlessly.
An NVIDIA research team proposes the normalized Transformer, which consolidates key findings in Transformer research under a unified framework, offering faster learning and reduced training steps-by factors ranging from 4 to 20 depending on sequence length.
A research team at Meta introduces the Large Concept Model (LCM), a novel architecture that processes input at a higher semantic level. This shift allows the LCM to achieve remarkable zero-shot generalization across languages, outperforming existing LLMs of comparable size.
An NVIDIA research team proposes Hymba, a family of small language models that blend transformer attention with state space models, which outperforms the Llama-3.2-3B model with a 1.32% higher average accuracy, while reducing cache size by 11.67x and increasing throughput by 3.49...
In a new paper Time-Reversal Provides Unsupervised Feedback to LLMs, a research team from Google DeepMind and Indian Institute of Science proposes Time Reversed Language Models (TRLMs), a framework that allows LLMs to reason in reverse-scoring and generating content in a manner o...
In a new paper Navigation World Models, a research team from Meta, New York University and Berkeley AI Research proposes a Navigation World Model (NWM), a controllable video generation model that enables agents to simulate potential navigation plans and assess their feasibility b...
An Apple research team introduces AIMV2, a family of vision encoders that is designed to predict both image patches and text tokens within a unified sequence. This combined objective enables the model to excel in a range of tasks, such as image recognition, visual grounding, and ...
In a new paper Music Foundation Model as Generic Booster for Music Downstream Tasks, a Sony research team presents SoniDo, a groundbreaking music foundation model that offers robust framework for improving the effectiveness and accessibility of music processing.
Researchers from Google DeepMind introduce the concept of Socratic learning. This refers to a form of recursive self-improvement in artificial intelligence that significantly enhances performance beyond the initial data or knowledge available to the system, as well as a practical...
Apple researchers conducted a systematic study of the computational bottlenecks and cost-efficiency of training SLMs. Their work evaluates training strategies across diverse cloud infrastructure setups, offering practical insights for improving efficiency and reducing costs.