Josh Woodward quoted Sundar Pichai as saying that Google is "so committed to being at the frontier, it's in our DNA," and called on everyone to join in building it. The post also cited Alex Kantrowitz's interview with Pichai, covering topics including Google's frontier AI strategy, recursive self-improvement, and balancing DeepMind's compute needs with Google Cloud profits.
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Coco Labs launches design model Vyb, which generates graphics element by element, each as an independent layer; text remains editable text, graphics remain vector, and photos remain pixels, with the structure fully preserved when exported to Figma. On 145 randomly selected Google fonts, scored by pixel overlap (IoU) with programmatic rendering, Vyb reaches 90.3%; the measurement ceiling for this test is 94.4%, while the strongest image model in the comparison reaches 76.0%.
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According to Bloomberg, former Google CEO Schmidt participated in Anthropic's Series A funding round in 2021, investing tens of millions of dollars, and currently holds about 1% of the company. The report says this proportion is about half of the 2% held by co-founder and CEO Dario Amodei; Anthropic is widely expected to go public before the end of the year, with a maximum valuation expectation of $2 trillion, at which point the value of Schmidt's stake could increase by as much as $20 billion. Neither Schmidt nor Anthropic immediately responded to requests for comment.
According to Bloomberg, former Google CEO Schmidt participated in Anthropic's Series A funding round in 2021, investing tens of millions of dollars, and currently holds about 1% of the company. The report says this proportion is about half of the 2% held by co-founder and CEO Dario Amodei; Anthropic is widely expected to go public before the end of the year, with a maximum valuation expectation of $2 trillion, at which point the value of Schmidt's stake could increase by as much as $20 billion.
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The SGLang team, in collaboration with Google and Meta, has open-sourced SGLang-TorchTPU, a PyTorch-based native backend that brings the full SGLang serving stack to Google Cloud TPU and is already in large-scale production use at Meta. Initial support covers models including Muse Spark Open, GLM-5.3, Kimi K3, DeepSeek V4, Qwen3.8, and Gemma 4, with features such as speculative decoding, KV cache offloading, PD disaggregation, and FP8 KV cache. The team also used TorchTitan and Miles to complete GRPO training of Qwen3-4B on a single 4-chip TPU v7x, with the reward curve matching a 6× H200 baseline within random fluctuation.
The SGLang team, in collaboration with Google and Meta, has open-sourced SGLang-TorchTPU, a PyTorch-based native backend that brings the full SGLang serving stack to Google Cloud TPU and is already in large-scale production use at Meta. Initial support covers models including Muse Spark Open, GLM-5.3, Kimi K3, DeepSeek V4, Qwen3.8, and Gemma 4, with features such as speculative decoding, KV cache offloading, PD disaggregation, and FP8 KV cache. The team also used TorchTitan and Miles to complete
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Cloudflare has announced a managed service for its AI business platform Cloudflare OS, with waitlist registration now open. Cloudflare OS was open-sourced in August this year and can be deployed in Cloudflare environments, on-premises, or in the cloud. It supports integration with Cloudflare Workers AI as well as AI services from Anthropic, OpenAI, Google, and others, and has the ability to securely access enterprise internal data. Two features were added this time: first, connecting to GitHub repositories, allowing AI agents to add features, debug, view PRs, create commits, and push code based on repository code; second, strengthening the Google Workspace integration, so agents can read and search Gmail conversations, draft and send emails, and connect to Google Drive, Docs, and Sheets.
ear and can be deployed in Cloudflare environments, on-premises, or in the cloud. It supports integration with Cloudflare Workers AI as well as AI services from Anthropic, OpenAI, Google, and others, and has the ability to securely access enterprise internal data. Two features were added this time: first, connecting to GitHub repositories, allowing AI agents to add features, debug, view PRs, create commits, and push code based on repository code; second, strengthening the Google Workspace integr
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AI security company Gray Swan on Tuesday launched a redesigned Arena platform, where contestants compete for prize money by tricking AI models into breaking through their guardrails, adding a sandboxed testing environment for indirect prompt injection. The new platform offers beginner-friendly challenges, training certificates, and a pathway for top performers to enter the Gray Swan red-team community and take part in real-world testing. Gray Swan conducts pre-release stress testing for frontier labs such as Anthropic, OpenAI, and Google DeepMind, and its Arena community has about 15,000 members.
e for prize money by tricking AI models into breaking through their guardrails, adding a sandboxed testing environment for indirect prompt injection. The new platform offers beginner-friendly challenges, training certificates, and a pathway for top performers to enter the Gray Swan red-team community and take part in real-world testing. Gray Swan conducts pre-release stress testing for frontier labs such as Anthropic, OpenAI, and Google DeepMind, and its Arena community has about 15,000 members.
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Eka Robotics has completed a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion. The company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja. Its vision-force-action model, paired with force-sensing grippers, can grasp about 1,500 objects weighing under 1 kg per hour, with a success rate exceeding 95%; the gripper costs less than $1,000 and is rated for 5 million cycles. The team uses a physics simulator to build reinforcement learning environments, and says it can generate thousands of hours of robot experience within minutes. It is currently running pilots with industrial customers for pick-and-place and cable manipulation.
leted a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion. The company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja. Its vision-force-action model, paired with force-sensing grippers, can grasp about 1,500 objects weighing under 1 kg per hour, with a success rate exceeding 95%; the gripper costs less than $1,000 and is rated for 5 million cycles. The team uses a physics simulator to build r
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