Author: Advanced AI Editor

TikTok’s parent company, ByteDance, has reportedly launched its new image generation tool, Seedream 4.0. The company claims that it outperforms Google DeepMind’s popular Gemini 2.5 Flash Image (also known as “Nano Banana”). The company’s Seed department stated that Seedream 4.0 boasts strong image editing capabilities, positioning it in direct competition with Google’s tool, which has garnered widespread acclaim for its consistent and accurate image editing. ByteDance claims that Seedream 4.0 beat Gemini 2.5 Flash Image on its internal evaluation benchmark, MagicBench, with better performance in prompt adherence, alignment, and aesthetics. However, the company has not published these results in an…

Too Long; Didn’t Read:AI can transform Filipino customer service in 2025: a projected $1,025M AI market, yet only 14.9% of firms use AI. Deployments cut tickets 28% and agent workload 34%. Prioritize 15-week upskilling, ROI gates, Taglish support and omnichannel tools. Introduction – AI for Customer Service Professionals in the Philippines (2025): The Philippines sits at a tipping point – global demand for AI-powered CX is rising (Statista projects a $1,025 million AI market in 2025), yet local uptake still lags: a PIDS study reports only 14.9% of firms use AI and an overall industry adoption of just 3%, even…

Using vibe coding platform Lovable, AI Researcher Shalini Ananda has built Fire Fairness, ‘an insurance equity engine that helps process wildfire insurance claims 360x faster while eliminating bias through multi-agent AI coordination’. They said that over 2,800 claims have been processed through Fire Fairness to date, and with a 99.8% cost reduction compared to using regular legal help. Lovable stated that the app is ‘already used by attorneys supporting victims of the 2025 Los Angeles fires’ and that it ‘demonstrates what’s possible when Lovable builders use algorithms for advocacy’. I.e. anyone with some specialist knowledge can build a legal tech…

Recent advances in multimodal large language models (MLLMs) have opened new opportunities for embodied intelligence, enabling multimodal understanding, reasoning, and interaction, as well as continuous spatial decision-making. Nevertheless, current MLLM-based embodied systems face two critical limitations. First, Geometric Adaptability Gap: models trained solely on 2D inputs or with hard-coded 3D geometry injection suffer from either insufficient spatial information or restricted 2D generalization, leading to poor adaptability across tasks with diverse spatial demands. Second, Embodiment Constraint Gap: prior work often neglects the physical constraints and capacities of real robots, resulting in task plans that are theoretically valid but practically infeasible.To address…

FILE PHOTO: Anthropic AI has said that their Claude AI chatbot will be able to remember preferences made in team projects. | Photo Credit: Reuters Anthropic AI has said that their Claude AI chatbot will be able to remember preferences made in team projects without needing people to explain themselves repeatedly. The feature is being rolled out for Team and Enterprise users now. Last month, the memory update had been introduced for paid subscribers, but now Team and Enterprise users will automatically have the feature. “With memory, Claude focuses on learning your professional context and work patterns to maximize productivity. It remembers…

❤️ Check out Lambda here and sign up for their GPU Cloud: Guide: Rent one of their GPU’s with over 16GB of VRAM Open a terminal Just get Ollama with this command – Then run ollama run gpt-oss:120b – 📝 The paper is available here: Genetic algorithm for the Mona Lisa: 📝 My paper on simulations that look almost like reality is available for free here: Or this is the orig. Nature Physics link with clickable citations: 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Benji Rabhan, B Shang, Christian Ahlin, Gordon…

Alibaba Cloud has announced the launch of its next-generation base model architecture, Qwen3-Next, and has open-sourced the Qwen3-Next-80B-A3B series models (Instruct and Thinking) based on this architecture.The Qwen team stated that Context Length Scaling and Total Parameter Scaling are two major trends in the future development of large models. To further enhance the training and inference efficiency of models under long contexts and large total parameters, they have designed a completely new model structure for Qwen3-Next.This structure includes the following core improvements compared to the MoE model structure of Qwen3: a hybrid attention mechanism, a high sparsity MoE structure, a…

Anthropic has recently launched a new feature for its Claude AI chatbot that allows team and enterprise users’ chat history to be automatically remembered. This feature enables Claude to recall previous conversation content without user prompts, thereby better understanding user needs and preferences. Currently, this new feature is only available to team and enterprise users. Claude can incorporate users’ preferences, ongoing project backgrounds, and key priorities into each response. Previously, Anthropic introduced a feature for Claude AI that allowed paid users to manually prompt Claude to remember past conversations. The launch of this new feature will make interactions with Claude…

AI agents, programs that perform tasks independently, are becoming the next big technology trend, with 39 percent of consumers already actively using them or considering using them. At the same time, 75 percent of the IT decision-makers surveyed expect customers to increasingly use AI agents for certain service issues in the future. In fact, however, only around a third of those consumers who already work with AI agents use them specifically for customer service and contract management. This is the result of a survey conducted by the opinion research institute YouGov on behalf of Telekom MMS entitled Trust…

An Indian techie who worked for four years as a full-time software engineer after completing his undergraduate degree has moved on from the field to try something new. In an interview, 28-year-old Phani Sai Ram Munipalli shared that he worked for companies like IBM in Bengaluru and Walmart Global Tech in Chennai before leaving software engineering and taking up AI product management as his new career path. An Indian techie who left her career in software engineering to take up something new. (LinkedIn/Phani Sai Ram M) “In July 2022, I left software engineering and chose to shift my career path…