Deep insights for enterprise AI, data, and security leaders
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The age of agentic AI is upon us — whether we like it or not. What started with an innocent question-answer banter with ChatGPT back in 2022 has become an existential debate on job security and the rise of the machines.
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The funding marks a significant escalation in the race to apply AI not just to software and content generation, but to the physical infrastructure that powers modern life. While most AI investment headlines have centered on large language models and generative tools, ThinkLabs is pursuing a different and arguably more consequential application: using physics-informed AI to model the behavior of electrical grids in real time, compressing engineering studies that once took weeks or months into minutes.
The new model is priced at $5 per million text input tokens and $19.50 per million image output tokens, a roughly 41% reduction from MAI-Image-2's pricing of $5 and $33, respectively, for those same tiers. Microsoft says the model runs 22% faster than its flagship sibling and achieves 4x greater throughput efficiency per GPU, as measured on NVIDIA H100 hardware at 1024×1024 resolution. The company also claims it outpaces competing hyperscaler models — specifically naming Google's Gemini 3.1 Flash, Gemini 3.1 Flash Image, and Gemini 3 Pro Image — by an average of 40% on p50 latency benchmarks.
In an exclusive interview with VentureBeat, Willem Avé, Block's head of product at Square, described Managerbot as a decisive break from the company's earlier Square AI assistant, which functioned as a reactive chatbot that answered seller questions about sales, employees, and business performance.
The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.
The new model is priced at $5 per million text input tokens and $19.50 per million image output tokens, a roughly 41% reduction from MAI-Image-2's pricing of $5 and $33, respectively, for those same tiers. Microsoft says the model runs 22% faster than its flagship sibling and achieves 4x greater throughput efficiency per GPU, as measured on NVIDIA H100 hardware at 1024×1024 resolution. The company also claims it outpaces competing hyperscaler models — specifically naming Google's Gemini 3.1 Flash, Gemini 3.1 Flash Image, and Gemini 3 Pro Image — by an average of 40% on p50 latency benchmarks.
The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.
The launch partners include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks. Anthropic says it has also extended access to more than 40 additional organizations that build or maintain critical software, and is committing up to $100 million in usage credits for Claude Mythos Preview across the effort, along with $4 million in direct donations to open-source security organizations.
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The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening one layer below all of that: Vendors are lining up around a shared way to describe security data. The Open Cybersecurity Schema Framework (OCSF), is emerging as one of the strongest candidates for that job.
