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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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e Data Analysisresearch area Methods and Algorithms, research area PrivacyPublished year 2025AuthorsXin Lyu, Kunal Talwar; Privacy-Computation Trade-offs in Private Repetition and Metaselectionresearch area Methods and Algorithms, research area Privacyconference FORCPublished year 2025AuthorsKunal Talwar; SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spottingresearch area Methods and Algorithms, research area Speech and Natural Language Processingconference ICASSPPublished year 2

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nClaw wasn't usable for most consumers, according to a16z. Now startup agents like Instinct and Tomo report hundreds of thousands of users, and the big players are countering with Meta's Muse, OpenAI's Dots, and xAI's Grok Bot. Agents become an economic force once they start triggering real purchases. Instinct founder Noah Shinn says 40 percent of users link a credit card within three weeks and then spend four-figure amounts per month through the service, much of it on travel. As revenue grows,

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金流失 Alphabet和亚马逊超85%季度利润来自股权投资公允价值浮盈，自由现金流转负；微软相对健康。GAAP会计允许未上市股权按融资估值重估，催生“投资→采购算力→估值抬升→财报好看→再融资”的自我循环，一旦融资降温利润表将反向修正。 2. 1.65万亿美元表外债务堪比安然 五大科技巨头表外长期采购、租约及SPV担保承诺达1.65万亿美元，超过表内负债。Meta表外承诺是其表内负债的2.8倍；甲骨文四年膨胀超30倍。与安然虚构收入不同，巨头云收入真实存在，但利润被美化，产业链内部循环加深系统性风险。 3. AI变现缺口高达5倍 2026年五巨头资本开支预计7692亿美元，而AI应用年收入仅约2000亿美元，中金测算需1万亿美元才能覆盖成本。红杉指出每投入1美元算力需产出4美元应用营收才能闭环，当前远未达到。融资端AI债券发行量翻倍，底层资金承压。 4. 中美Token价差166倍，变现路线分化 OpenAI输出30美元/百万Token，DeepSeek仅0.18美元，价差达166倍。海外走高价企业客户路线（Anthropic 75%收入来自大型企业），国内走低价海量调用+出海路线（

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rn persists without RoPE or learned gates, and tracks stride length; Interpretation: V4.1’s stride of 2 reduces but does not eliminate the effect; Agent research:Agent plasticity (Meta): Measures held-out gain per learning dollar. The best performers are not the most efficient learners (@omarsar0); MIMESIS: A 9B user simulator that beats Opus 5 on behavioral fidelity by 13.4 points (@dair ai); Base-model selection (NVIDIA): Ranks checkpoints by whether the base model can reproduce the “decisive

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《科创板日报》10月10日讯 Meta Muse掀起的Agent热潮尚未褪去，不到一个月，谷歌便携全新Gemini Agent框架登场，推动智能体赛道竞争再度升级。 当地时间10月8日，谷歌在Gemini at Work 2026大会上正式推出Gemini agent。其定位企业级产品，可独立完成多类知识工作：解答业务问题、处理文档知识、生成图像媒体、编写并运行代码。 这些能力对智能体而言已不足为奇，真正吸引眼球的，是谷歌首次提出的“Coworker Agent（同事智能体）”概念。 谷歌表示，Gemini agent既可以作为个人私人助理，也能够作为团队成员，充当项目经理、财务分析师等组织内特定岗位角色，代表团队与组织执行工作。其可以拥有独立企业身份，配备专属邮箱、日历与企业账号，成为一名“AI同事”。 作为同事智能体，Gemini agent不仅拥有更完整的记忆机制，还支持在谷歌自有模型以及Anthropic Claude等第三方模型中进行选择。谷歌云首席执行官托马斯・库里安（Thomas Kurian）强调：“基于内置成本管控能力，它会根据任务自动匹配最优模型。” 更值得玩味的，

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? There are 4 deployment paths, all serving the same API: Python (Kev runtime): inference.py and serve.py on a CUDA GPU; llama.cpp: a Nace fork with GGUF in bf16 or Q8 0, on CUDA, Metal or CPU; Ollama: a Nace fork that adds a decision capability; Hosted: OpenRouter lists $0.04 per 1M input tokens and $0 output, served by DeepInfra. Nace also runs its own Console API Nace tested bf16 and Q8 0 on an AWS g5.2xlarge (A10G 24 GB) and got identical answers. The Q8 0 GGUF also matched on an Apple M5 Pr

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、模型接口和开发标准能够成为全球基础设施。通过扩大美国人工智能技术栈的全球采用，可以形成规模效应、网络效应和生态依赖，并将技术领先转化为更加持久的结构性竞争优势。值得注意的是，这一派内部对于开放的地理和技术边界存在明显分歧。一种为“全球开放型”，反对因安全考虑而过度限制技术、市场和人才流动，主张尽可能保持包括中国在内的全球技术生态联系，代表性声音包括英伟达、Meta以及微软等依赖全球开发者、云服务和软件生态的企业。另一种为“选择开放型”，主张在国家安全约束下实行选择性开放，限制战略竞争对手获得关键前沿能力，同时积极推动美国人工智能技术栈向“可信任”的国家和地区扩散。 英伟达首席执行官黄仁勋是“全球开放型”最具代表性的人物之一。2026年7月，面对美国国内要求限制中国开源模型的声音，他公开表示，优秀的开放模型应当被吸收和使用，而不是简单禁止。9月，在接受《纽约时报》Ezra Klein 访谈时，他表达了自己一贯的观点，即限制美国企业进入中国市场也可能损害美国芯片产业、开放模型生态，并尖锐提问，“我们究竟是在阻止他们（中国）的产业获得芯片，还是在剥夺我们美国自己在市场中参与竞争的机会？”M

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The company positions its approach as uniquely suited for automating tasks rather than generating text or code. “We have been super good at human language for four years, but it’s not useful for automation because computers speak a different language,” TypeSafe co-founder Diogo Almeida told TechCrunch last month. Along with Almeida, who was previously a researcher at OpenAI, TypeSafe was co-founded in 2024 by former Meta research engineer Sasha Sheng and Erik Gafni, an engineer and entrepreneur.

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igger of Jevons paradox for agentic models. I expect demand to only increase, as the industry is largely bottlenecked on figuring out better ways to orient and deliver the agents. Meta’s Muse agent is an early indicator of this and we should expect more Muse-like experiences for different audiences and target use-cases. It’s value created by understanding how agents work, rather than pushing the frontier of performance. The equivalent phase in the broader scientific literature like biology and c

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by ganging up multiple SkyHammer ASICs inside of a switch, much as Broadcom and Cisco often do for both fixed port and modular switches. As you know from watching the Broadcom and Meta Platforms presentations over the past decade in The Next Platform, you can double the bandwidth of ports with any given switch ASIC architecture by creating a baby two-tier network from six independent ASICs. Half the bandwidth of four of the ASICs are used to create downlinks, and the other half are used to cross

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cator of where things are heading,” Bill Mulligan , Cilium and eBPF community pollinator, tells The New Stack. He also points to BpfJailer , an open-source eBPF security tool from Meta. It’s an experimental open-source rewrite of Meta’s internal closed-source eBPF security tool. Hiveminders into Cilium, Tetragon, or eBPF should know: Isovalent is also hosting its epic Hive Mind Mingle in Salt Lake… but sign up soon; attendance is limited. Before you go, explore how HPE Software helps IT teams do

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e-and-low desktop mini-PC form factors. For the EVO-X3, GMKtec seems to have doubled down on this design strategy even more, resulting in a mini-PC that can only be described as a metal monolith. The stange form factor makes more sense once we get inside. The metal, by the way, is a notable change from the EVO-X2, which notably (and noticeably) featured a plastic chassis. On the other hand, this EVO-X3 is fully metal. The overall monolithic design is even more clearly meant to stand, especially

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ter much to the founders using them. Startup funding so far this year shatters 2021 records but slows in latest quarter. Singapore startup Manus raises after its forced split from Meta. Google’s AI push in the classroom proves a nightmare. Nvidia CEO Jensen Huang’s son-in-law takes on a bigger role inside the company. USV among the VC firms raising new funds. A new lawsuit over Groq’s deal with Nvidia could throw a wrench in the reverse acquihire strategy. Tech moguls get the Hollywood treatment

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nt acts inside Postman. Early on, the team leaned toward highly atomic tools: small, precise actions such as opening a request, updating one field, or fetching a specific piece of metadata. That approach supported correctness and control in early iterations, but it also revealed several problems. Many real-world workflows require long sequences of tool calls. Even when each step was fast, the overall experience felt slow, because every action had to return to the model before the next one could

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