China’s Ant Group is using local semiconductors to train AI at a cost that is 20 percent less than companies typically spend, according to reports. Ant used domestic chips — from companies including Alibaba, an investor in Ant, and Huawei — to launch a unique Mixture of Experts (MoE) training approach that produced results commensurate to training with Nvidia H800 chips. Ant is the latest Chinese company to focus on low cost training, joining a competition triggered by DeepSeek, which in January announced it could build AI comparable to the models released by U.S. companies like OpenAI, Anthropic and Google for billions less. Continue reading Ant Group Stacks Chips to Reduce Development Costs for AI

OpenAI has activated the multimodal image generation capabilities of GPT-4o, making it available to ChatGPT users on the Plus, Pro, Team and Free tiers. It replaces DALL-E 3 as the default image generator for the popular chatbot. GPT-4o’s accuracy with text, understanding of symbols and precision with prompts combined with well multimodal capabilities that allow the model to take cues from visual material have transformed its image capabilities from largely unpredictable to “consistent and context-aware,” resulting in “a practical tool with precision and power,” claims OpenAI. Continue reading OpenAI Delivers Native GPT-4o Image Generator to ChatGPT

Elon Musk’s xAI has acquired generative video startup Hotshot to bring motion imaging to Grok 3. Released in February, Grok 3 adds Deep Search and Thinking and improved on its predecessor’s still imaging capabilities, but lacks generative video, a much-requested feature — one that could make Grok a freestanding competitor to OpenAI’s individual offerings: ChatGPT for text, Sora for video, and DALL-E for images. “Cool AI video coming soon!” was Musk’s comment to Hotshot’s acquisition announcement on the networking platform. Hotshot can generate clips of up to 10-seconds at 1280×720 pixels. Continue reading With Hotshot Purchase, xAI to Bring Generative Video to Grok

OpenAI is urging the Trump Administration to declare AI training fair use, seeking unfettered access to copyrighted material for the purpose of educating models. The company is also asking for relief from state AI rules and more permissive AI export rules in a response to President Trump’s call for a U.S. “AI Action Plan.” The deadline to submit responses to the National Science Foundation and Office of Science & Technology Policy (OSTP) request for information (RFI) regarding the plan was Saturday. Google also publicized its response, which largely echoed OpenAI’s points. Continue reading OpenAI and Google Press for Relief on Copyright, State Laws

Meta Platforms has reportedly begun “a small deployment” of its first in-house chip designed for AI training. The accelerator chip is engineered around the open-standard RISC-V architecture. TSMC produced the working samples now being tested. The goal is to create purpose-specific chips that are more efficient than Nvidia’s general purpose GPUs, enjoying the cost-savings that would come with wide use and reducing reliance on outside chip suppliers in a tight market. If the tests go well, Meta plans to scale up production for expanded use by 2026. Details of the new chip’s specifications remain unknown at this time. Continue reading Meta Tests New AI Accelerator Chip Designed with Broadcom

Taiwan’s Foxconn, the contract manufacturer that assembles Apple’s iPhones, has built its own AI. Called FoxBrain, the company says the large language model was trained in just four weeks with help from Nvidia, using 120 of that company’s H100 chips. FoxBrain has reasoning and mathematical skills and can analyze data and generate code. Initially built for in-house use, Foxconn says it intends to open source the model and hopes it will become a collaborative tool for its partners and enable advancements in manufacturing techniques and supply-chain management. Continue reading Foxconn AI Trained in Four Weeks, Suggesting Industry Shift

Popular social media platform Pinterest is now labeling generative AI content. The app, which earned a reputation as fertile ground for design inspiration related to hand-crafted goods and human artistry, has recently been plagued by an onslaught of “AI slop,” something its regular users have been complaining of on Reddit and to Pinterest directly. The GenAI content was often used to redirect people to spammy sites, according to a recent report. Pinterest’s labeling news coincides with an earnings report of $1.15 billion in Q4 revenue, marking an 18 percent increase year-over-year. Continue reading Pinterest AI Labeling Policy Unveiled as Q4 Earnings Top $1B

OpenAI is releasing a research preview of what it calls its “largest and best” chat model to date, GPT‑4.5, which scales unsupervised learning in pre-training and post-training. As a result, the new chat model has the ability to recognize patterns, draw connections, and generate creative insights without having to draw on time and energy consuming “reasoning.” GPT‑4.5 is currently available to ChatGPT Pro subscribers ($200 per month) and developers subscribing to OpenAI’s API tier. ChatGPT Plus and ChatGPT Team customers are expected to gain access this week. Continue reading OpenAI’s GPT-4.5 Model Sees Patterns and Thinks Creatively

Nvidia delivered stellar earnings again, with profit up 80 percent to $22.09 billion for fiscal Q4, the period that ended January 26, 2025. Record quarterly revenue hit $39.3 billion, a 12 percent uptick from Q3 and a 78 percent increase year-over-year, driven in part by sales of the company’s Blackwell AI chips. The results rebut predictions that the leading-edge chipmaker would suffer due to a recent wave of Chinese AI models created using fewer and largely older chips. That trend rocked Nvidia stock over the past quarter, but the Silicon Valley-based company managed to maintain momentum. Continue reading New Blackwell AI Chip Helps Boost Nvidia to Record Quarter

Thomson Reuters scored a victory defending its intellectual property in the first AI model training case to produce a substantive legal judgment. U.S. District Court of Delaware Judge Stephanos Bibas on Tuesday issued a partial summary judgment for Westlaw parent Thomson Reuters in its copyright infringement case against Ross Intelligence. The court found that after Thomson Reuters refused Ross’ offer to license Westlaw material the startup hired a third-party to procedurally reconstitute the material, resulting in infringement. Ross defenses, including fair use, “all fail,” says the court. Continue reading Round One in Thomson Reuters AI Lawsuit Is a Victory for IP

OpenAI is getting close to finalizing its first custom chip design, according to an exclusive report from Reuters that emphasizes the Microsoft-backed AI giant’s goal of reducing its dependency on Nvidia chips. The blueprint for the first-generation OpenAI chip could be finalized as soon as the next few months and sent to Taiwan’s TSMC for fabrication, which will take about six months — “unless OpenAI pays substantially more for expedited manufacturing” — according to the report. Even by usual standards, the training-focused chip is already on a fast track to deployment. Continue reading OpenAI In-House Chip Could Be Ready for Testing This Year

Model training continues to hit new lows in terms of cost, a phenomenon known as the commoditization of AI that has rocked Wall Street. An AI reasoning model created for under $50 in cloud compute credits is reportedly performing comparably to established reasoning models such as OpenAI o1 and DeepSeek-R1 on tests of math and coding aptitude. Called s1-32B, it was created by researchers at Stanford and the University of Washington by customizing Alibaba’s Qwen2.5-32B-Instruct, feeding it 1,000 prompts with responses sourced from Google’s new Gemini 2.0 Flash Thinking Experimental reasoning model. Continue reading Reasoning Model Competes with Advanced AI at a Lower Cost

ByteDance has developed a generative model that can use a single photo to generate photorealistic video of humans in motion. Called OmniHuman-1, the multimodal system supports various visual and audio styles and can generate people doing things like singing, dancing, speaking and moving in a natural fashion. ByteDance says its new technology clears hurdles that hinder existing human-generators — obstacles like short play times and over-reliance on high-quality training data. The diffusion transformer-based OmniHuman addressed those challenges by mixing motion-related conditions into the training phase, a solution ByteDance researchers claim is new. Continue reading ByteDance’s AI Model Can Generate Video from Single Image

Perplexity joins the list of AI companies launching agents, debuting the Perplexity Assistant for Android. The tool uses reasoning, search, browsers and apps to help mobile users with daily tasks. Concurrently, Perplexity — independently founded in 2022 as a conversational AI search engine — has launched an API called Sonar intended for enterprise and developers who want real-time intelligent search, taking on heavyweights like Google, OpenAI and Anthropic. While to date AI search has largely been limited to answers informed by training data, which freezes their knowledge in time, next-gen tools can pull from the Internet in real time. Continue reading Perplexity Bows Real-Time AI Search Tool, Android Assistant

During CES 2025 in Las Vegas this week, Meta Vice President and Chief AI Scientist Yann LeCun had a compelling conversation with Wing Venture Capital Head of Research Rajeev Chand on the latest hot button topics in the rapidly evolving field of artificial intelligence. Some of the conclusions were that AI agents will become ubiquitous — but not for 10 to 15 years, human intelligence means different things to different AI experts, and nuclear power remains the best and safest source for powering AI. And, for those looking for more of LeCun’s tweets, he said he no longer posts on X. Continue reading CES: AI Pioneer Yann LeCun on AI Agents, Human Intelligence