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cloud, cybersecurity and more; 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digit

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larly relevant for voice agents handling customer information, where mispronouncing a name, payment amount, or booking reference can cause confusion. Sarvam said Bulbul V4 Flash draws on research involving larger language backbones, different audio representations and generative approaches, with training data scaled to more than 400 billion audio tokens. The company used the results of these experiments to develop a smaller model that retains key speech-quality improvements while meeting product

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newspapers and magazines out of business. The companies ignored them and went full speed ahead. All that and more came out last month in newly unsealed court documents filed in a lawsuit by The New York Times and others against Microsoft and OpenAI for IP theft. The filing cites memos, reports, and statements by Microsoft employees and execs that show the company was well aware of the illegality of what they were doing — and the consequences. Here’s just one example. Back in 2023, at the dawn of

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technology-based solutions may do little or nothing to improve India’s existing education system, let alone bring about a “reform”. According to an Economic Times report, which draws on Frost & Sullivan’s 2025 candidate estimates and a 2025 parliamentary committee report, India’s examination system relies on a fragmented network of private contractors, creating several vulnerabilities. Some of the issues with the current system are: No single entity oversees the examination process: The report

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2500 cr via qualified institutional placement (QIB), just a year after its IPO as InstaHelp’s loss increased 11% quarter-on-quarter basis to Rs 132 cr in Q1FY27. Report: India’s laws address harmful content, but do not mitigate design features harmful to children A NALSAR-IGAP report points to the deficiencies in India’s online child safety legislation and recommends the establishment of a dedicated framework with a focus on platform accountability, safety by design and privacy-preserving age a

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Download the report here India’s existing laws address harmful online content and child sexual exploitation, but do not establish a comprehensive framework to mitigate risks arising from platform design, including recommendation systems and engagement-driven features, according to a report by NALSAR University of Law and the Indian Governance and Policy Project (IGAP). The report, ‘The Child Safety Imperative: Age-Appropriate Digital Governance Pathways for India’, examines gaps in India’s legal

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芯片之后，仍能获得足够好的性能。据此前的行业估算行业估算，它的技术能让模型跑得比行业均值快8倍。 技术优势已经体现在估值上。不到两年，Decart的估值从5亿美元走到今年5月的近40亿，再到如今约70亿美元的收购谈判。 其实Decart这家公司的本事，亚马逊早已见过。2025年夏，双方开始接触，Decart随后获得提前使用Trainium 3的机会。 到年底AWS re:Invent大会，团队在台上展示实时视频生成，让创始人Dean在镜头前即时变换形象。 从收到邀请到登台只有26天，他们准备了16套备用系统，连整个服务器集群出故障的情况都考虑了进去。演示最终顺利完成。 Dean在红杉播客中介绍，为了让视频即时生成，团队既调整模型结构，也编写底层运算代码，甚至重写部分框架组件。模型研究和软件优化一起推进，才能缩短用户按下按钮后等待画面的时间。 双方的合作也带来了切实的性能改善。AWS官网显示，在早期视频测试中，Trainium上的帧吞吐量最高达到对照GPU方案的4倍，成本效率达到2倍。自研芯片配合针对性优化，能够承担原本由GPU完成的任务，亚马逊由此多了一个争取客户的案例。 所以，亚马逊

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被曝出在自研推理芯片。 不过，想把芯片卖给外人，先得在自己家里跑通。 国内大厂现在也已经跑通了。百度集团执行副总裁、百度智能云事业群总裁沈抖介绍，昆仑芯P800“已在百度内部得到全面验证”，承担了百度绝大部分推理任务之后，才推向外部行业。中国移动的十亿级推理型集采中，昆仑芯三个标包分别拿下70%、70%和100%的份额。 02 生成式AI热潮之前，亚马逊就为AWS布局自研芯片，原本是给云服务降本。到了AI时代，更便宜的训练和推理算力，成了它吸引外部客户的卖点，Anthropic和OpenAI先后承诺使用Trainium。今年二季度，包含Trainium和通用计算芯片Graviton的芯片业务，年化收入运行率超过250亿美元。 现在，亚马逊已经不满足于只通过AWS收取算力服务费。亚马逊CEO贾西在今年的股东信里，专门按独立芯片公司的口径测算芯片业务规模，并提出向第三方出售整柜芯片设备的可能。 相比亚马逊，国内大厂更进一步，直接把生意摆到了明面上，形成了两个变现方向。一个是硬件变现，把芯片做成超节点等各种方案；另一个是把芯片公司单独推向资本市场，把芯片做成资产。 第一条路，是坚持硬件变现。

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而屏蔽了大规模部署与扩展这些系统的复杂性。 为了达到这样的性能，Reactor的团队必须重新思考机器学习系统的诸多细节：如何进行内核级优化（kernel level optimizations），如何设计云端控制平面。甚至需要讲模型进行机器学习层面的改进、定制CUDA代码以及Torch优化，转化为达到生产级可用标准的模型。 一个实际的例子是，Reactor与AWS Neuron Science团队合作，将实时自回归扩散视频模型部署到AWS自研AI芯片Trainium上。 与普通视频生成不同，运行实时交互类视频/世界模型的系统，其瓶颈不只在算力本身，还包括视频帧位置计算、注意力计算、缓存复制、显存占用和解码等环节。 双方通过Neuron Kernel Interface对底层计算进行重写和融合：例如将原本需要约5秒的3D-RoPE位置编码计算压缩到1.8毫秒，将每层约23毫秒的缓存复制降至1.9毫秒，并把原本容易爆显存的流程控制在11GB HBM内运行。最终，团队在单颗Trainium2芯片上跑通了实时视频生成。 Reactor的平台上，已经汇集了一批可实时运行的视频模型和世界模型。其中

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res you'd want given the stakes. But they’re worried because existing benchmarking practices and off-the-shelf guardrails don't meet government standards. Public agencies have IT laws, accessibility requirements, privacy rules, performance expectations. It's a much stricter deployment environment than a typical firm. I've been reading a lot of Herbert Simon on administrative and organizational behavior, trying to work out how much of those methodological tools help us understand AI deployment in

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do not come from storage. We ran three query mixes against each cell. The uniform mix sends a new title every time and never repeats, the worst case for a cache. The skewed mix draws from a pool of 20,000 titles with a Zipf distribution, a common model for search traffic. The cold mix runs the first queries right after a wake-up, when the cache is empty. Before the uniform and skewed measurements, a warm-up runs the same mix until the hit rate stops changing. We call the results after the warm-

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er findings, including some in critical infrastructure software, are now being coordinated for disclosure,” Proof before patches For a tool that leans on an AI model to hunt for flaws, the bigger question is whether those findings hold up, given how much noise AI-generated vulnerability reports can create for maintainers. “Harness proves a vulnerability is exploitable before it counts by reproducing potential exploits in fresh, isolated environments,” Chainguard tells The New Stack , and anythin

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expansion of Chainguard Libraries. All four arrived at the company’s Assemble London conference today. Vulnerability hunting falls to Chainguard Harness, which reports only the flaws it can reproduce against a live build of a customer’s application. Developers and their agents get a hardened, credential-free cloud environment from Chainguard Workspaces. Because that work still has to be tested, Chainguard paired Workspaces with Chainguard Checks, which runs continuous integration tests on the c

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and refusing the publish, when a large page with a line break after is published again unchanged - Fixed $.ui.open reporting a mod's pane as placed in sessions where no surface draws it, such as Claude Code for VS Code and claude -p - Fixed the agent.spawn mod hook not running when a finished subagent or a killed teammate is resumed: the hook's event now carries resume , and a mod can refuse it - Fixed claude plugin validate rejecting a mod's $.state references when plugin.json has no types key

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ieces to join. Reconstructing the Codex logs, Xbow put the compute bill at roughly $40,000, a fraction of the prize, and well below the months of specialist labor such work once demanded. The finished chain turned ordinary JavaScript in a Chrome tab into code running outside every sandbox, crossing two protective boundaries through three separate flaws. Google reproduced the chain, confirmed all three bugs, shipped fixes, and awarded the first $250,000 full-chain Chrome reward under rules it set

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cloud, cybersecurity and more; 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digit

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cloud, cybersecurity and more; 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digit

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cloud, cybersecurity and more; 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/ About SiliconANGLE Media Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digit

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伯格在10月12日播出的《Cheeky Pint》播客中承认，2025年底在尚未见到新AI模型、技术路线未验证的情况下，他已授权约1000亿至2000亿美元的基建投入；Meta 2026年资本支出指引为1300亿至1450亿美元，约为2025年实际支出722亿美元的两倍、2024年392亿美元的三倍多。 2.Meta无对外云业务，无法像微软Azure、亚马逊AWS那样出租过剩算力，只能自担纯粹的算力利用率风险；2026年二季度营收增28%至608亿美元，但自由现金流同比骤降约91%至7.84亿美元，长期债务升至约836.6亿美元，单季经营现金流几乎被资本开支吞噬，固定成本刚性凸显。 3.市场聚焦Meta三季度财报（官方公布日期为10月21日）：市场共识当季营收631.7亿美元、同比增约23.3%，每股收益6.61美元、同比下降约8.8%；分析师对2027年资本支出共识已升至约1850亿美元，若利润率连续两季无法兑现，扎克伯格“只有整个AI行业失败我们才会输”的防御叙事将首度接受市场压力测试。 1.英伟达CEO黄仁勋2026年10月巡访巴黎、伦敦、柏林，宣布未来一周追加20亿美元欧洲AI

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WSJ: Character. ai’s parent filed for Chapter 11 in Delaware and lined up Disney as its opening bidder. Character Technologies wants to sell most or all of its assets through a court-supervised auction, and expects any sales to close by December. It filed after failing to steer the business through “significant legal, regulatory and operational headwinds,” chiefly the costly teen self-harm lawsuits (settled this year) and growing scrutiny of how minors used its chatbots.

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