搜索“xAI”

司内部化的东西要多得多，我觉得这也适用于数据。而且有点相关的是，其实有很多实习岗位的招聘。我觉得如果你去看很多这些公司的招聘页面，会专门有两个标签页。他们有暑期实习标签页或者实习标签页，以及普通招聘标签页。而且有很多，我觉得是在招相当初级的人，其中一些可能是为了数据目的。但你也确实看到前沿 AI 公司在数据方面内部化出现了激增。我不确定现在是否还是这样，但 xAI 是唯一一家有这个东西的公司，但它还挺好的，因为如果你去招聘页面，实际上有一个人类数据类别，你可以直接看到他们在招哪些数据岗位。所以在数据方面的招聘信息上也有东西可做，xAI 也是。我之前和 Mercor 以及其他几家做过这个。但我觉得类似地，我觉得最有意思的事情一直是像，“哦，那是个疯得离谱的岗位。”xAI 在招梗图专家之类的，而且更多是零散好玩的东西，而不是大的趋势，至少从我看到的是这样。 00:47:35 Nathan Lambert：是的。我觉得不幸的是，这不会改变。看起来非常像是实验室里的各个团队在数据公司都有联系人，而这一切都是私下进行的，而且这并不……我想就连追踪算力也相当困难，但现在数据中心是一种某种程度上可追

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t images 🤖 Step 5 Preview - Agentic AI with 1M-token context for coding, knowledge tasks ⚙️ Jev - TypeSafe’s AI model for software automation, now generally available 🧠 Grok 4.7 - xAI’s coding and knowledge-work model built for longer tasks SpaceXAI released Grok 4.7, its latest update with strong agentic and coding scores, which lands at a 46 on Artificial Analysis’ Intelligence Index, behind Anthropic, OpenAI, and Meta. Nvidia CEO Jensen Huang put the odds of AI ending the world by 2030 at 0%,

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ng, e.g. @TheZachMueller on SGLang’s multi-level hiCache (GPU/RAM/disk) for preserving KV cache across model swaps and restarts. Top tweets (by engagement) Grok 4.7 release : SpaceXAI announced Grok 4.7 , described as a notable improvement over 4.6 at the same price/speed. Follow-on evals were mixed: Artificial Analysis reported 56 on its Coding Agent Index with gains on DeepSWE/Terminal-Bench/SWE-Atlas-QnA, while Vals saw it rank 24 on its Vals Index, down 5 points from Grok 4.6 despite gains i

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有所收缩，而阿联酋和沙特阿拉伯仍在全速推进。 就在本月， 沙特阿拉伯承诺投入 150 亿美元 用于国内 AI 投资。它继续向国家冠军企业 Humain 注资，同时削减非科技投资，如其未来主义 NeoCity 和 LIV 高尔夫巡回赛。阿联酋的 MGX 等主要风投投资者继续积极布局，MGX 在 Anthropic 持有大量股份，同时也投资了 OpenAI 和 xAI。这在一定程度上之所以可能，是因为油价上涨部分抵消了销量下降。 事实上，沙特人正夸耀其 科技前沿的努力正在帮助他们 快速修复设施并渡过难关。 然而，随着战争持续，这种情况能否延续远未可知。 彼得·蒂尔 家族办公室负责人 杰克·塞尔比 今年春天警告称，科技行业过度依赖中东资金，他表示这占全球 AI 投资总额的 25%。这是此类估计中的高端数字，但主要风投公司长期以来一直依赖资金充裕的中东有限合伙人，其财务状况的任何疲软都必将重创硅谷。 撇开战争风险不谈，利率上升将提高为数据中心建设融资的债务成本，正如 马丁·皮尔斯 在 The Information 中敏锐指出的那样。阿波罗的首席经济学家警告 称，超大规模企业的债务风险正在上升

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ences research teams. For organizations that qualify, we are also working to understand how LSVP can integrate with features from our Enterprise Frontier Safeguards (EFS) systems. Xaira is making biology more computable, generating biological data at unprecedented scale and building foundation models of cell, protein and disease biology that turn it into the next generation of life-changing medicines. We’re excited to put Anthropic's frontier models to work across our drug discovery engine, and

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ns remain closed while only older versions are open, and joke that Meta’s infinity logo implies an indefinite wait. Commenters contrasted Meta’s unreleased Muse/Spark weights with xAI’s Grok release pattern , noting that “Grok 4.6 (4.7 upcoming)” exists while only Grok 1 and Grok 2 have been open-released, implying a widening lag between frontier closed models and published weights. A technically relevant explanation linked to Mark Zuckerberg’s post on X: x.com/finkd/status/2099997096896274533 .

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w what to make of it without more transparency. Jordan Schneider: If we’re moving marginally toward spending more money on safety and alignment and less on pushing the frontier at xAI, OpenAI, and Anthropic — and again, this is a really hard coordination problem — would it be horrible for the planet? Would it mean we lose to China? Probably not. There are lots of other levers that go alongside this if you’re stressed about the China angle, like all the compute control stuff we’ve been screaming

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al to Andon’s business proposition: providing AI developers with evaluations grounded in situations that arose outside the lab. The company says it works with Anthropic, Google DeepMind, OpenAI, and SpaceXAI on research and evaluations. Andon’s physical businesses themselves remain decidedly less successful. When Andon Market’s Carson spoke with IEEE Spectrum , he was about an hour into his shift. Two customers had come in. Neither bought anything, although both left with free pins and stickers.

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te the model on our internal evaluation framework using the harness for which it was primarily developed: Claude Code for Anthropic models, Codex for OpenAI models, Grok Build for xAI models, and Devin CLI for open-weight models. For each model, we report the best score across reasoning-effort settings. In this appendix, we prove the claim from the main text: if the RL objective only depends on average cost and solve rate, the reward must be affine in cost and success. For simplicity, we allow S

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described this in depth the Onsite Gas Deep Dive as the most popular approach because electricity systems benefit from substantial economies of scale in both cost and reliability. xAI’s Colossus 1 in Memphis has taken this route. Other projects plan for a grid connection that will serve as “backup”, i.e. as a new energy resource that will help increase the expected uptime. We’ve seen projects planning for 2 or 3 “nines” of expected uptime while in full island mode, and adding an additional “nine

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ws you can get running in about a minute each. Whatever you build, post it on X and tag @gradio . We'd be happy to amplify your workflows. Models mentioned in this article 8 MiniMaxAI/MiniMax-H3 Qwen/Qwen2.5-VL-7B-Instruct Qwen/Qwen3-4B-Instruct-2507 Wan-AI/Wan2.2-I2V-A14B black-forest-labs/FLUX.1-Kontext-dev facebook/detr-resnet-50 google/vit-base-patch16-224 Spaces mentioned in this article 4 FastH3 Preview 4-step MiniMax-H3 — video with a matching soundtrack BRIA RMBG 2.0 remove background fr

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Time for a global roll call. All-electric and on the move, Apollo Go's RT6 is checking in from roads around the world. ⚡ https://t.co/A5ItjXXai9

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active agent interactions across user sessions; First-party Java interoperability: Call ADK Kotlin agents directly from existing Java applications; Enterprise Agent Platform (VertexAI) integration: VertexAiSessionService, VertexAiRagMemoryService, VertexAiMemoryBankService ⛑️ Example of a database incident response agent Let's take ADK for Kotlin 1.0 for a spin, and build an incident triage & diagnostics agent that investigates production database alerts. Our agent will take advantage of ADK fun

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using a model from a lab based in the US or EU doesn’t guarantee that a data center in that region serves the request. At global endpoints, models from OpenAI, Anthropic, Google, xAI, Meta, NVIDIA, Thinking Machines, or Mistral can run anywhere the provider serving the request operates. A data residency review asks where your request was decrypted and where inference ran, so a US team using GPT-5.6, Claude Opus 5, or Gemini 3.6 Flash on a global endpoint can still fail a compliance review. Open

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using a model from a lab based in the US or EU doesn’t guarantee that a data center in that region serves the request. At global endpoints, models from OpenAI, Anthropic, Google, xAI, Meta, NVIDIA, Thinking Machines, or Mistral can run anywhere the provider serving the request operates. A data residency review asks where your request was decrypted and where inference ran, so a US team using GPT-5.6, Claude Opus 5, or Gemini 3.6 Flash on a global endpoint can still fail a compliance review. Open

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到 Qwen4 发布时，生态系统将修复集成问题。 zai-org 的 GLM-5.3-Flash：此次发布完善了我们在 2025 年写过的中国模型玩法：该模型以免费使用的“隐身模型”形式发布，名为“Ox-Alpha”，在 OpenRouter 和 OpenCode 上亮相，这首先让人们兴奋地想要尝试它。随后他们猜测其创建者和规模，声称它是来自 Cursor/xAI、Gemini 的 1T 模型，或是开源实验室的新预训练模型。由于该模型性能相对出色，人们连续数天猜测其创建者，从而积累了热度。这也削弱了伴随每次（开放）模型发布而来的“刷榜”（benchmaxxing）指责。 tencent 的 Hy4-preview：腾讯正在成为开放模型领域的重要参与者，在扩大其旗舰模型规模的同时，转动后训练飞轮。其成果 Hy4-preview 是一个有能力的模型，目前存在过度思考的问题。然而，如果从 Hy3-preview 到 Hy3 的轨迹有任何指示意义，最终模型可能会真正冲击开放模型的前列。 在我们的 Artifacts Hub 上查看本期所有模型的更多详情。 访问 artifactshub.ai

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le product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models! Related Stories MAI-Transcribe-2 is the fastest, most accurate and cheapest speech recognition model in the world MAI-Code-1.1-Flash: Better, faster, at a quarter of the cost MAI-Image-2.6 launches at No. 2 on Arena ahead of Google, Meta and xAI

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further to 186 on the same day. Sen. Bernie Sanders teamed up with Rep. Greg Casar on a new bill to outlaw superintelligent AI outright, with penalties modeled on laws for nuclear weapons. Mira Murati’s Thinking Machines Labs is reportedly in talks for a new funding round that would value the company at $40B, according to The Information. Widespread outages occurred on Thursday across the major AI providers, with OpenAI, Anthropic, xAI, and Google all facing stability issues throughout the day.

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es, it created new companies (AI companies) and industries (companies to serve AI companies); $217 billion of that $400 billion went into OpenAI and Anthropic, $20 billion went to xAI and $16 billion went to Waymo, with NVIDIA investing over $40 billion itself; I’m still not sure what this was meant to communicate other than investor fluff; As for the industries it’s created, it’s unclear. Even if we were being generous to describe the companies that exist to throw a layer over an existing AI mo

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ellation rights that opened once Cursor was sold, calling the decision “incredibly tough.” OAI's evidence includes the $2M-a-year tweet deal Musk killed after buying Twitter, plus xAI training on its outputs, which Musk called “partly” true. Anthropic co-founder Tom Brown reaffirmed support for Cursor, with many calling out the company’s similar move against Windsurf over its potential OAI acquisition. Musk posted “I couldn't care less,” while Cursor CEO Michael Truell pushed for a fix, putting

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