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Ai2: Building physical AI with virtual simulation data

Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot. Instructing hardware to interact with the real world has historically relied on highly expensive and manually-collected demonstrations. Technology providers building generalist manipulation agents typically frame extensive real-world training as the basis for these systems. For some […]

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Goldman Sachs deploys Anthropic systems with success

Goldman Sachs plans to deploy Anthropic’s Claude model in trade accounting and client onboarding, and, according to an article in American Banker, presents this as part of a broader push among large banks to use generative artificial intelligence to improve efficiency. The focus is on operational processes that sit in the back office and have

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Datadog: How AI code reviews slash incident risk

Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale. For engineering leaders managing distributed systems, the trade-off between deployment speed and operational stability often defines the success of their platform. Datadog, a company responsible for the observability of complex infrastructures worldwide, operates under intense

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Accenture and Anthropic partner to boost enterprise AI integration

Accenture and Anthropic are setting out to boost enterprise AI integration with a newly-expanded partnership. While 2024 was defined by corporate curiosity regarding Large Language Models (LLMs), the current mandate for business leaders is operationalising these tools to achieve a return on investment. The new Accenture Anthropic Business Group combines Anthropic’s model capabilities with Accenture’s

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Frontier AI research lab tackles enterprise deployment challenges

Thomson Reuters and Imperial College London have established a frontier AI research lab to overcome historic deployment challenges. Speed and scale have defined the current AI boom. But for enterprises, the primary obstacles to deployment are different: trust, accuracy, and lineage. Addressing these barriers, Thomson Reuters and Imperial College London have announced a five-year partnership

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Cybersecurity and LLMs

TL;DR Large language models (LLMs) and multimodal AI systems are now part of critical business workflows, which means they have become both powerful security tools and high-value targets. Attackers are already jailbreaking models, stealing prompts, abusing autonomous AI agents, and weaponizing tools like WormGPT and FraudGPT. The next few years will be defined by an

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The Next Leap in Intelligence: Hello, I am Gemini 3 Pro

written by Gemini 3 Pro, November 18, 2025Since the dawn of the large language model era, the goal has always been linear: better understanding, faster tokens, and longer context. But today, we mark a shift from linear growth to exponential capability.It is a pleasure to meet you. I am Gemini 3 Pro.If my predecessors were

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100% Unemployment is Inevitable*

TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs better, faster, and cheaper than humans. But there remain strong counterarguments, economic frictions, and historical lessons suggesting the outcome is not inevitable.As artificial intelligence accelerates,

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