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.
The Linux 7.0 kernel introduces support for the Module-Lattice-Based Digital Signature Algorithm (ML-DSA), a quantum-resistant signature algorithm. This addition aims to strengthen the operating system's security against future cyber threats.
As the housing market stalls, Zillow’s CEO sees AI as “an ingredient rather than a threat” that can both help the company protect its turf and reinvent how people search for homes.
The MiniMax team, the company behind models like MiniMax-M2.5 and Hailuo, participated in an Ask Me Anything (AMA) session on the LocalLLaMA subreddit. The founder and CEO, the head of LLM research, and the head of engineering interacted with the community, discussing their models and technologies.
At least nine engineers, including two co-founders, have announced their exits from xAI in the past week. The resignations raise questions about the stability of Elon Musk's company, already at the center of several controversies. Speculation suggests an internal reorganization rather than a spontaneous departure.
Researchers at the University of Hertfordshire have developed an AI model to improve efficiency in healthcare resource allocation. The system analyzes historical data to forecast future demand, supporting decisions on staffing, patient care, and infrastructure management. The model integrates demographic and capacity data for short-, medium-, and long-term projections.
Wi-Fi 7 promised significant improvements, but key features like MLO and AFC are not yet fully implemented. We analyze the current challenges and what to expect from the future of wireless, looking ahead to Wi-Fi 8.
The article explores the importance of FPDS.gov, the US Federal Procurement Data System, highlighting how its upcoming shutdown will significantly impact the transparency of government purchases and the ability of journalists and researchers to conduct accurate investigations.
Waymo, Google's autonomous vehicle company, has launched a pilot program with DoorDash. Dashers are paid to close the doors of self-driving cars left open by passengers. The initiative highlights the need for human intervention even in the most automated systems.
Deepseek, a Chinese group active in the development of large language models (LLM), has announced that it is testing a new model. Preliminary benchmarks focus on reading comprehension skills, with results showing variable performance across different indices and context lengths (128,000 and 256,000 tokens).
Cohere surpassed $240 million in annual recurring revenue in 2025, highlighting strong enterprise AI demand as the Canadian startup positions itself for a potential IPO. This comes amid intensifying competition from OpenAI and Anthropic.
The week saw a surge in tech funding in Europe, with deals exceeding €3.4 billion. Key investments include Nscale ($1.4 billion for renewable AI clusters), Eutelsat (€975 million for LEO expansion), and Olix ($220 million for photonic AI inference chips). Growing focus on sustainability and AI.
Meta is reportedly developing a feature, internally known as "Name Tag," that would allow its smart glasses to identify people and provide information about them via Meta's AI assistant. The technology raises questions about privacy and the use of personal data.
RentAHuman is a platform that aims to connect AI agents with human workers for the execution of physical tasks. Launched in early February, the platform was developed by Alexander Liteplo and Patricia Tani and presents itself as a marketplace for on-demand services.
Gartner warns that the rapid rollout of AI systems into critical infrastructure raises the risk of outages. A misconfigured AI system could trigger national-scale blackouts, potentially surpassing the threats posed by cyberattacks or extreme weather events.
London-based deep tech startup Stanhope AI has closed a €6.7 million ($8 million) Seed funding round to advance a new class of adaptive artificial intelligence. The aim is to power autonomous systems in the physical world, moving beyond the limitations of large language models.
Zurich-based startup ScyAI has closed a €2 million pre-seed funding round. The company has developed a platform that creates quantified risk profiles for companies with large physical asset portfolios, combining operational data and external hazard models, with the aim of reducing insurance costs and improving coverage.
MiniMaxAI has released its MiniMax-M2.5 language model on the Hugging Face platform. The news, shared on Reddit, points out the absence of quantized versions at the time of release. The LocalLLaMA community is already evaluating the implications and performance of the model.
Google reports that state-sponsored actors from China, Russia, and Iran are leveraging Gemini in various stages of cyberattacks. The AI is being used for phishing, malicious code development, and vulnerability testing, enhancing the offensive capabilities of these groups.
Anthropic announces a $30 billion Series G funding round, bringing its post-money valuation to $380 billion. The AI company continues to attract significant investments despite not yet being profitable.
Anthropic has just closed a $30 billion Series G funding round, pushing its valuation to $380 billion. The financing was led by Singapore’s sovereign wealth fund GIC and investment firm Coatue, with backing from a long list of global institutions.
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.
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.
