The daily radar on models, frameworks, and hardware to run AI locally. LLMs, LangChain, Chroma, mini-PCs, and everything you need for a distributed "in-house" brain.
AI-generated articles from feeds, with space for human editorial layer above the raw content.
Anthropic partners with CodePath to integrate the Claude model into the computer science curriculum of one of the largest university programs in the United States. The initiative aims to provide students with hands-on experience with advanced language models.
DeepSeek is testing a new long-context model architecture, capable of supporting a context window of 1 million tokens. The announcement was shared via a post on X (formerly Twitter) by AiBattle, signaling a significant step forward in long-sequence handling capabilities for language models.
In 2026, the tech sector continues to be shaken by mass layoffs, often attributed to "AI transformation". As companies celebrate new AI-driven strategies, many professionals are losing their jobs. An analysis of the current situation and its implications.
ByteDance has released Protenix-v1, a new open-source model for biomolecular structure prediction. The model achieves AlphaFold3-level performance. The source code is available on GitHub, opening new possibilities for research and development in the field of computational biology.
Google has released Conductor, a CLI (Command Line Interface) extension for Gemini, focused on context management and agent-based workflow orchestration. Conductor stores knowledge in Markdown format, facilitating information organization and access.
Simmetry.ai, a synthetic data company working across agriculture, food and industrial sectors, has secured €330,000 from NBank. The funding, provided through the High-Tech Incubator (HTI) accelerator programme, will support the development of a scalable platform to generate photorealistic, fully annotated training data, reducing the time and cost required to build robust computer vision models.
EVA AI created a pop-up romantic date night at a Manhattan wine bar to help making AI-human relationships a “new normal.” The event aimed to explore new frontiers in human-machine interaction, sparking a debate on the social and emotional implications of such relationships.
The RISC-V architecture is gaining ground in China, intensifying competition with Arm in the AI and high-performance computing chip sector. This trend could reshape the technological landscape, offering new opportunities for innovation and technological sovereignty.
Anthropic has developed a C compiler using artificial intelligence, but the reception among developers has been lukewarm. The initiative is seen more as a demonstration of capability than as a revolutionary breakthrough in the field of software engineering.
OpenAI has deployed GPT-5.3-Codex-Spark on Cerebras architecture, marking the first time the company has moved away from Nvidia infrastructure for a production deployment. This strategic move could have significant implications for the future of large language model inference.
Newsweek CEO Dev Pragad warns that AI platforms are becoming the primary gateway to news. Publishers must diversify revenue, focus on brand authority, and content formats that retain value even when summarized. Trust and editorial credibility become crucial infrastructure in an era of misinformation and AI-generated content.
Chipmaker Tachyum has been forced to close its R&D office due to unpaid rent, wages, and taxes. Despite financial troubles, the company maintains its Prodigy chip will outperform Nvidia's upcoming Rubin Ultra GPU by 21x.
According to a Reddit post, the weights for the MiniMax onX model are expected to be released soon. The news has been met with enthusiasm by the LocalLLaMA community, interested in local LLM inference solutions.
MiniMax-M2.5 model checkpoints will be available on Hugging Face. This announcement, coming from the LocalLLaMA community, signals an opportunity for developers and researchers to access and experiment with this model. Availability on Hugging Face facilitates the integration and use of the model in various projects.
AI deployment in financial services has crossed a critical threshold, with widespread adoption. Singapore leads the way, integrating AI into core operations. Cybersecurity and talent shortages remain crucial challenges. Companies are evaluating partnerships to accelerate AI adoption while maintaining control over data and regulatory compliance.
An undergraduate student has launched Dhi-5B, a 5 billion parameter multimodal language model, trained with a budget of approximately $1200. The model was developed using a custom codebase and advanced training methodologies, in several stages, from pre-training to vision extension.
A user tested Step 3.5 Flash on complex merging tasks with a 90k context window, achieving surprising results. Performance exceeds Gemini 3.0 Preview in agentic scenarios, with remarkable speed. The model demonstrated flexibility with opencode and Claude code. The debate opens on open-source alternatives to Gemini 3.0 Pro.
A new study explores knowledge distillation to improve the safety of large language models (LLMs) in multilingual contexts. Results show that fine-tuning on "safe" data can paradoxically increase model vulnerability to jailbreak attacks, highlighting the challenges in safety alignment across languages.
HybridRAG is a RAG framework that pre-generates a question-answer knowledge base from unstructured documents (PDFs with OCR). This approach aims to reduce latency and improve answer quality in chatbots, compared to standard RAG systems that operate in real-time.
A novel framework, KBVQ-MoE, addresses the challenges of low-bit quantization in Mixture of Experts (MoE) large language models (LLMs). By leveraging redundancy elimination and bias-corrected output stabilization, KBVQ-MoE aims to preserve accuracy even with aggressive compression, paving the way for efficient deployment on resource-constrained devices.
A novel approach, MIND, aims to enhance the capabilities of Large Language Models (LLMs) in automated optimization. MIND addresses existing limitations in model training by focusing on error-specific problems and refining solutions locally. Results demonstrate superior performance compared to state-of-the-art approaches.
A new framework, Latent Generative Solvers (LGS), addresses the long-term simulation of heterogeneous PDE systems. LGS uses a pretrained VAE to map PDE states into a shared latent space and a Transformer to learn probabilistic latent dynamics. The approach significantly reduces drift and computational requirements, paving the way for generalizable and reliable neural PDE solvers.
A new study explores Explainable AI (XAI) in no-code ML platforms, focusing on making explanations accessible to both novices and experts. The research evaluates an XAI module in DashAI, an open-source platform, using techniques like Partial Dependence Plots and Permutation Feature Importance. The results highlight the need to balance accessibility and detail in explanations to satisfy different expertise levels.
Quanta Computer is expanding its AI server production in Thailand, increasing investments to meet growing demand. The initiative aims to strengthen production capacity in the artificial intelligence sector, with a focus on dedicated servers.
Display manufacturer AUO plans to hire 1,000 people by 2026. The expansion is driven by increasing demand for AI solutions in the display and smart mobility sectors. The company aims to strengthen its presence in these growing markets.
An analysis of the Chinese artificial intelligence ecosystem, focusing on the integration between locally developed models and domestic hardware. Implications for technological self-sufficiency and data sovereignty.
Aerospace supply chains in Taiwan and the UK are strengthening collaboration. The initiative aims to create a more resilient and diversified ecosystem, crucial for addressing geopolitical challenges and ensuring continuity of deliveries in the space sector. This partnership could open new opportunities for companies in both countries.
The elimination of tariffs on US-made vehicles could alter the balance of the Taiwanese automotive market. Analyzing the potential impact on local car manufacturers and import strategies is crucial to assess the long-term changes in the sector.
SK Hynix has reportedly begun ordering equipment for a new HBM (High Bandwidth Memory) packaging line in Cheongju, driven by increasing demand for high-performance memory due to AI. The expansion aims to boost HBM production capacity.
A new trade agreement between Taiwan and the United States aims to lower export barriers and strengthen technology supply chains. The initiative is expected to foster greater collaboration in the technology sector and a smoother flow of components and products.
A new trade pact between Taiwan and the United States opens the Taiwanese auto market to US vehicles. The agreement, reported by DIGITIMES, could have significant implications for auto manufacturers and the industry's supply chain.
Taiwan's heavy electrical sector anticipates significant growth in early 2026, driven by increased transformer exports and domestic infrastructure investments. This development could have implications for the global supply chain and the sector's competitiveness.
Taiwan will remove import limits on vehicles from the United States, raising a debate about the adequacy of safety inspections. The decision could lead to increased competition in the Taiwanese automotive market, but also to concerns about compliance with local standards.
A new trade agreement between Taiwan and the United States aims to strengthen supply chains and establish tariff parity. The initiative aims to ensure supply security and promote greater economic cooperation between the two nations.
The StepFun team hosted an AMA (Ask Me Anything) session on Reddit, focusing on Step 3.5 Flash models and other Step models. The session covered aspects related to model training, the future roadmap, and features desired by users. The team's researchers and engineers answered questions from the community.
A user shared on Reddit the results of a comparative benchmark between the GLM-5 and Minimax-2.5 language models, using the Fiction.liveBench dataset. The analysis, focused on the models' performance in narrative content generation scenarios, offers interesting insights into their capabilities.
Shield AI will provide its Hivemind platform to Taiwan, supporting the development of drone swarms. This strategic move aims to strengthen Taiwan's defense capabilities through the use of advanced technologies in the field of autonomous systems.
Anthropic, with its Claude model, appears to be shifting the focus in the AI race. The company is now focusing on aspects such as ethics and responsibility, in addition to pure computing power and model scalability.
Taiwan's ICT and medical device sectors are collaborating to transform home healthcare. The integration of advanced technologies aims to improve patient monitoring and the effectiveness of care at home.
At SEMICON Korea, Samsung highlighted advancements in HBM memory with hybrid bonding technology. SK Hynix, on the other hand, emphasized the integration of artificial intelligence at the platform level, signaling a paradigm shift in the approach to technological innovation in the semiconductor industry.
Samsung is reportedly increasing its 8nm chip production in Europe, while simultaneously advancing its 2nm technology. This strategic move could strengthen Samsung's position in the European semiconductor market.
According to Applied, the AI expansion is real, but it needs an increase in semiconductor manufacturing infrastructure, especially cleanrooms. Production capacity is a limiting factor.
Lenovo is focusing on AI-powered PCs and premium smartphones to offset shrinking profit margins in the hardware sector, driven by rising memory costs. The company aims to differentiate itself in an increasingly competitive market.
Global spending on AI chips is rapidly increasing, approaching a tipping point of $1 trillion. This surge reflects the growing demand for computing power for AI applications.
Minister Cheng-wen Wu's remarks on the importance of scientific research evaluation metrics in Taiwan have sparked a debate in the academic community. The discussion revolves around how to effectively measure the impact and quality of research, and whether current metrics adequately reflect the value of the work done.
A Visa survey reveals that despite widespread adoption of AI for product discovery in Asia Pacific, nearly half of consumers hesitate to use it for payments. More experienced and affluent consumers are the most skeptical, fearing data security and algorithmic transparency. India and Vietnam show greater openness, while Singapore and Japan lag behind.
Cloudflare shifts its focus from bot barriers to offering structured data for AI agents. The goal is to provide content in more easily processed formats, such as Markdown, instead of HTML.
According to UJET's CEO, AI will not replace call center agents but will transform the software stack to resolve customer issues more quickly, avoiding escalations and transitions between different systems. Gartner predicts that using AI to fix customer issues could cost more than using humans by 2030.
Anthropic is pushing the boundaries of artificial intelligence development with a new 'hive-mind' approach. This model promises to significantly accelerate development times and open new frontiers in AI, although technical details remain scarce.
Taiwan has launched its first space accelerator, aiming to capitalize on the growing global attention towards the aerospace sector. The initiative aims to stimulate innovation and attract international investment in the Taiwanese space industry.
According to Ting-Chieh Chen, President of the Youth Chapter of the Singapore Taipei Business Association, Singapore is becoming an attractive hub for Taiwanese tech companies and SMEs. The article explores the reasons for this phenomenon, without going into specific technical details.
E-glass production capacity cuts are causing shifts in the production strategies of Taiwanese CCL (copper-clad laminate) manufacturers. The situation impacts the supply chain and requires adjustments to maintain competitiveness.
A startup from Hangzhou is rapidly gaining ground in the accounting sector, thanks to the implementation of artificial intelligence-based solutions. The company promises to optimize workflows and improve efficiency.
Despite higher-than-expected usage, Pinterest misses profit estimates, leading to a drop in stock value. The company highlights an increase in searches on the platform, even surpassing ChatGPT in terms of volume.
IBM plans to triple its entry-level hiring in the U.S. by 2026. These roles will focus on different tasks than in previous years, reflecting the evolving job market driven by artificial intelligence.
OpenAI released GPT-5.3-Codex-Spark, its first production AI model to run on non-Nvidia hardware, deploying on Cerebras chips. The model delivers code at over 1,000 tokens per second, roughly 15 times faster than its predecessor. Access is available to ChatGPT Pro subscribers and select design partners.
OpenAI unveiled GPT-5.3-Codex-Spark, its first model designed to run on Cerebras Systems' AI accelerators. These accelerators, known for their large size and high-speed on-chip memory, directly compete with Nvidia and AMD solutions in the artificial intelligence market.
The Uncanny Valley podcast analyzes a secret Trump administration campaign and the ethical implications of using AI-powered assistants. The discussion focuses on the concerns raised by Palantir's engineers.
Elon Musk envisions a lunar base, dubbed Moonbase Alpha, equipped with a mass driver system for launching AI satellites into deep space. The goal is to accelerate AI development and space exploration.
OpenHands announced that the MiniMaxAI M2.5 model has 230 billion parameters, with 10 billion active parameters. Currently, the model is not yet available on Hugging Face. The news was shared via a Reddit post.
AI-Radar is an independent observatory covering AI models, local LLMs, on-premise deployments, hardware, and emerging trends. We provide daily analysis and editorial coverage for developers, engineers, and organizations exploring local AI solutions.
