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Mistral launches Mistral 3, a family of open models designed to run on laptops, drones, and edge devices

Mistral AI, Europe’s most prominent artificial intelligence startup, is releasing its most ambitious product suite to date: a family of 10 open-source models designed to run everywhere from smartphones and autonomous drones to enterprise cloud systems, marking a major escalation in the company’s challenge to both U.S. tech giants and surging Chinese competitors. The Mistral…

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Ascentra Labs raises $2 million to help consultants use AI instead of all-night Excel marathons

While artificial intelligence has stormed into law firms and accounting practices with billion-dollar startups like Harvey leading the charge, the global consulting industry—a $250 billion behemoth—has remained stubbornly analog. A London-based startup founded by former McKinsey consultants is betting $2 million that it can crack open this resistant market, one Excel spreadsheet at a time….

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New training method boosts AI multimodal reasoning with smaller, smarter datasets

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The framework uses a two-stage process. It first refines a base model with a curated dataset in a supervised fine-tuning (SFT) stage. Then, a reinforcement learning (RL) stage guides the…

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DeepSeek just dropped two insanely powerful AI models that rival GPT-5 and they’re totally free

Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI’s GPT-5 and Google’s Gemini-3.0-Pro — a development that could reshape the competitive landscape between American tech giants and their Chinese challengers. The Hangzhou-based company launched DeepSeek-V3.2, designed as an everyday reasoning…

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MIT offshoot Liquid AI releases blueprint for enterprise-grade small-model training

When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest on-device foundation models on the market using the new “liquid” architecture, with training and inference efficiency that made small models a serious alternative to…

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AI models block 87% of single attacks, but just 8% when attackers persist

One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it’s a gap most enterprises don’t know exists. When attackers send a single malicious request, open-weight AI models hold the line well, blocking attacks 87% of the time (on average). But…

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OpenAGI emerges from stealth with an AI agent that it claims crushes OpenAI and Anthropic

A stealth artificial intelligence startup founded by an MIT researcher emerged this morning with an ambitious claim: its new AI model can control computers better than systems built by OpenAI and Anthropic — at a fraction of the cost. OpenAGI, led by chief executive Zengyi Qin, released Lux, a foundation model designed to operate computers…

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Agent coordination is the missing piece in AI commerce — new AWS and Visa blueprints target the gap

With necessary infrastructure now being developed for agentic commerce, enterprises must determine how to participate in this new form of buying and selling. But it remains a fragmented Wild West, with competing payment protocols, and it’s unclear what enterprises need to do to prepare.  More cloud providers and AI model companies are beginning to provide…

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Ontology is the real guardrail: How to stop AI agents from misunderstanding your business

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies and processes. While we manage the integrations well with technologies like API management, model context protocol (MCP) and…

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Why observable AI is the missing SRE layer enterprises need for reliable LLMs

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems. Why observability secures the future of enterprise AI The enterprise race to deploy LLM systems mirrors the early days of cloud adoption. Executives love the promise; compliance demands accountability;…

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