News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
AegisAI, a startup founded by former Google security executives, has raised $36 million in Series A funding to combat AI-driven spear phishing. The company uses AI agents to analyze emails for subtle anomalies that traditional rule-based systems miss. Battery Ventures led the round, with Accel and Foundation Capital also participating.
White House science advisor Michael Kratsios accused Moonshot of copying Anthropic's Fable LLM using banned chips, but AI experts say distillation alone cannot explain Kimi K3's rapid advancement. Researchers argue that reinforcement learning and Chinese technical expertise played a larger role.
Petals is a decentralized platform that allows users to run large language models such as Llama 3.1, Mixtral, Falcon, and BLOOM on consumer-grade hardware by sharing computational resources in a peer-to-peer network. Users load only a portion of a model and join a network of others serving the remaining parts, enabling inference speeds of up to 6 tokens per second for Llama 2 70B and 4 tokens per second for Falcon 180B. The platform supports fine-tuning, custom sampling methods, and access to hidden states, combining the convenience of an API with the flexibility of PyTorch and Hugging Face Transformers.
Alphabet reported Q2 revenue of $119.8 billion, up 24% year-over-year, beating analyst estimates. The company raised its capital expenditure guidance to at least $180 billion, signaling accelerating AI spending. Google Cloud revenue surged 82% to $24.8 billion, driven by enterprise AI solutions. The Gemini app now has 950 million monthly active users and processes 22 billion API tokens per minute.
Alphabet's latest earnings report shows Google Cloud revenue surged 82% year-over-year to $24.8 billion, driven by enterprise AI adoption. The company's profit hit $112.1 billion, a massive jump from $28.1 billion a year ago. CEO Sundar Pichai defended the company's hefty capital expenditures, saying investments in compute capacity will pay off in 2027.
The Trump administration is split on how to respond to China's rapidly advancing AI models. The White House wants stricter controls to prevent Chinese labs from using US models via distillation, while the Commerce Department views such restrictions as impractical. The debate intensified after China's Moonshot AI released its Kimi K3 model, which rivals top US systems from Anthropic and OpenAI.
A weekend rumor about Anthropic acquiring robotics startup Physical Intelligence spread rapidly across AI Twitter, despite a denial from Physical Intelligence's CEO. The rumor gained traction due to Physical Intelligence's high-profile co-founders, over $1 billion in funding, and its widely used π0.5 robot brain model. Reports indicate that acquisition talks did occur between the two companies this spring, adding fuel to the speculation.
A new report from BloombergNEF predicts that U.S. data centers will consume four times more electricity by 2035, accounting for one-fifth of the nation's total power generation. The surge is driven by AI compute demand, with nearly half of new capacity going to training and inference. The forecast is 83% higher than BloombergNEF's previous estimate, reflecting rapid data center development and strained electrical grids.
Alibaba's Qwen team released Qwen-Image-3.0, an image generator designed for practical applications like newspaper layouts and complex infographics. The model processes prompts of up to 4,500 tokens and can render legible text as small as ten pixels, mathematical formulas, and twelve languages in a single pass. It is currently available through invite-only API access, with plans to integrate it into first-party apps like Qwen Chat soon.
Patreon is taking a tougher stance against AI companies that scrape creator content for training. The membership platform is now working with Cloudflare to actively block AI training bots, rather than just asking them to stop via robots.txt files. The move comes as AI scraping has become more sophisticated and widespread.
xAI's Grok 4.3 model is now generally available on Amazon Bedrock, offering configurable reasoning effort, tool calling, and a 1 million token context window. The model runs on the Mantle inference engine and supports OpenAI-compatible APIs for easy integration into agentic workflows.
A new VentureBeat Pulse Research survey of 107 enterprises reveals a significant gap between AI infrastructure spending and the ability to track its economics. Most organizations run AI on hyperscalers and model APIs, but the next dollar is aimed at specialized compute they rarely use today. GPU utilization is at 50% or less for 83% of respondents, and fewer than half rigorously track compute costs. A majority plan to switch or add providers within the year.