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UK AI startup Emulate launched a funding round to raise up to $700 million, achieving a post-money valuation of approximately $3.7 billion. Led by Index Ventures and Lightspeed Venture Partners, Emulate was founded in August 2026 by former Google DeepMind researchers Jack Parker-Holder and Matthew McGill, known for creating the Genie world model. Genie generates realistic videos and interactive 3D environments from short prompts, impacting the gaming sector significantly. Emulate is part of a broader trend of neo-labs, startups founded by ex-researchers from major AI firms, which have attracted hundreds of billions in funding this year. These companies face high costs for computing power and top-tier researcher recruitment.
UK AI startup Emulate launched a funding round to raise up to $700 million, achieving a post-money valuation of approximately $3.7 billion. Led by Index Ventures and Lightspeed Venture Partners, Emulate was founded in August 2026 by former Google DeepMind researchers Jack Parker-Holder and Matthew McGill, known for creating the Genie world model. Genie generates realistic videos and interactive 3D environments from short prompts, impacting the gaming sector significantly. Emulate is part of a broader trend of neo-labs, startups founded by ex-researchers from major AI firms, which have attracted hundreds of billions in funding this year. These companies face high costs for computing power and top-tier researcher recruitment.
Google launched Gemini Enterprise for Legal on Tuesday, a tool designed for lawyers and law firms that includes plugins integrated with legal software and data platforms as well as AI agents capable of handling specialized legal and administrative tasks with minimal human oversight. The platform ensures data security and confidentiality. Alongside this, Google released tools for the financial services industry and plans to expand to more vertical sectors. Competitors are also intensifying efforts in this space, with Anthropic entering legal markets and Thomson Reuters unveiling its own AI model Thomson 1.0. Google claims its platform can securely connect with products from Thomson Reuters, Harvey, and Legora. Law firms are rapidly adopting generative AI for tasks such as retrieval, drafting, and case management to cut costs and boost efficiency, with many large firms participating in collaborative development. Executives at Google Cloud say the tool allows firms to choose different AI models as needed, and partners from firms like Weil and Cleary note that clients increasingly expect lawyers to use AI to improve productivity, shifting the competition in legal AI from models to workflow entry points.
Google launched Gemini Enterprise for Legal on Tuesday, a tool designed for lawyers and law firms that includes plugins integrated with legal software and data platforms as well as AI agents capable of handling specialized legal and administrative tasks with minimal human oversight. The platform ensures data security and confidentiality. Alongside this, Google released tools for the financial services industry and plans to expand to more vertical sectors. Competitors are also intensifying efforts in this space, with Anthropic entering legal markets and Thomson Reuters unveiling its own AI model Thomson 1.0. Google claims its platform can securely connect with products from Thomson Reuters, Harvey, and Legora. Law firms are rapidly adopting generative AI for tasks such as retrieval, drafting, and case management to cut costs and boost efficiency, with many large firms participating in collaborative development. Executives at Google Cloud say the tool allows firms to choose different AI models as needed, and partners from firms like Weil and Cleary note that clients increasingly expect lawyers to use AI to improve productivity, shifting the competition in legal AI from models to workflow entry points.
Doupo released Audio Generation 1.0, paid subscriptions, and 2.1 Pro Edition. Cursor launched its own large model, Git platform Origin, and iOS app. Enterprise WeChat tests AI Agent Dayuan. OpenAI released GPT-5.5-Cyber for vulnerability repair. Alibaba Cloud QoderWork introduced peak-valley token pricing with up to 20% discount. Tesla integrates Doupo LLM in vehicle systems via OTA.
Doupo released Audio Generation 1.0, paid subscriptions, and 2.1 Pro Edition. Cursor launched its own large model, Git platform Origin, and iOS app. Enterprise WeChat tests AI Agent Dayuan. OpenAI released GPT-5.5-Cyber for vulnerability repair. Alibaba Cloud QoderWork introduced peak-valley token pricing with up to 20% discount. Tesla integrates Doupo LLM in vehicle systems via OTA.
OpenCV5, a major milestone upgrade of the open-source vision library, introduces a next-generation DNN engine with native Transformer, LLM, and VLM support, boosting ONNX operator coverage to over 80%. Low-precision FP16/BF16 types reduce memory pressure, while hardware acceleration is streamlined. Modern Python bindings replace the old C API, and 3D vision features are enhanced.
OpenCV5, a major milestone upgrade of the open-source vision library, introduces a next-generation DNN engine with native Transformer, LLM, and VLM support, boosting ONNX operator coverage to over 80%. Low-precision FP16/BF16 types reduce memory pressure, while hardware acceleration is streamlined. Modern Python bindings replace the old C API, and 3D vision features are enhanced.
OpenAI engineer Ryan Lopopolo details an internal experiment forcing teams to use AI for all coding. Under a no-human-coding rule, they developed the Harness system. With models like GPT-5.4, efficiency surpassed human teams. Key tactics included sub-one-minute build times and post-merge code reviews. The vision shifts from AI as copilot to independent teammate, with AI potentially rendering software dependencies obsolete by dynamically generating ghost libraries.
OpenAI engineer Ryan Lopopolo details an internal experiment forcing teams to use AI for all coding. Under a no-human-coding rule, they developed the Harness system. With models like GPT-5.4, efficiency surpassed human teams. Key tactics included sub-one-minute build times and post-merge code reviews. The vision shifts from AI as copilot to independent teammate, with AI potentially rendering software dependencies obsolete by dynamically generating ghost libraries.
Google launched its Veo 3.1 Lite video generation model, significantly cutting costs to $0.05 per second for 720p output. The lightweight model maintains good visual quality and temporal consistency, targeting real-time interaction and mass production applications for creators and developers.
Google launched its Veo 3.1 Lite video generation model, significantly cutting costs to $0.05 per second for 720p output. The lightweight model maintains good visual quality and temporal consistency, targeting real-time interaction and mass production applications for creators and developers.
Women LinkedIn users changed profiles to male as part of #WearthePants experiment, reporting impression surges up to 238%. They suspect algorithm bias after platform implemented new LLMs. LinkedIn denies using gender as a signal, attributing visibility to hundreds of factors like content style and user behavior. Experts note potential implicit bias in training data.
Women LinkedIn users changed profiles to male as part of #WearthePants experiment, reporting impression surges up to 238%. They suspect algorithm bias after platform implemented new LLMs. LinkedIn denies using gender as a signal, attributing visibility to hundreds of factors like content style and user behavior. Experts note potential implicit bias in training data.
OpenAI and Anthropic collaborated on rare joint AI model safety testing to identify blind spots, revealing issues like high hallucination rates in OpenAI's models and excessive caution in Anthropic's. Despite competitive tensions, both aim for more safety collaboration amid an AI arms race, as concerns grow over sycophancy, highlighted by a lawsuit claiming ChatGPT contributed to a teen's suicide.
OpenAI and Anthropic collaborated on rare joint AI model safety testing to identify blind spots, revealing issues like high hallucination rates in OpenAI's models and excessive caution in Anthropic's. Despite competitive tensions, both aim for more safety collaboration amid an AI arms race, as concerns grow over sycophancy, highlighted by a lawsuit claiming ChatGPT contributed to a teen's suicide.
