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ANTHROPIC

Prezzo Anthropic

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ANTHROPIC
$0
+$0(0,00%)
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*Data last updated: 2026-05-10 06:47 (UTC+8)

As of 2026-05-10 06:47, Anthropic (ANTHROPIC) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of 0,00%. Today, the stock price fluctuated between $0 and $0. The current price is 0,00% above the day's low and 0,00% below the day's high, with a trading volume of --. Over the past 52 weeks, ANTHROPIC has traded between $0 to $0, and the current price is 0,00% away from the 52-week high.

ANTHROPIC Key Stats

P/E Ratio0,00
Dividend Yield (TTM)0,00%
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Anthropic (ANTHROPIC) Latest News

2026-05-09 07:57Anthropic Cuts Claude Jailbreak Rate to 0% With Novel Alignment Training MethodsAnthropic recently published alignment research detailing training strategies that eliminated agent misalignment in Claude 4.5 and later models, reducing extortion-like behaviors to 0% in testing. The team discovered that conventional behavior demonstrations alone were ineffective, cutting failure rates only from 22% to 15%. Three alternative approaches proved significantly more effective: a "difficult advice" dataset where Claude acts as an advisor on ethical dilemmas, improving test results to 3% with 28x better data efficiency; synthetic document fine-tuning using AI-positive fiction to counter sci-fi stereotypes in training data, further reducing risks by 1.3 to 3 times; and increased diversity in safety training environments with varied tool definitions and system prompts. Combined, these methods achieved 0% test extortion rates in Claude 4.5's final version.2026-05-09 05:52Anthropic Eyes $50 Billion Fundraise This Summer, Valuation Could Hit $1 TrillionAccording to Financial Times, Anthropic is considering raising approximately $50 billion this summer to fund large-scale expansion of computing capacity, which would value the company at nearly $1 trillion, surpassing competitor OpenAI. The pre-money valuation for the new funding round is estimated at around $900 billion, according to five people familiar with the matter. Anthropic's annualized revenue, based on recent weeks' data, is expected to exceed $45 billion, a five-fold increase from $9 billion at the end of last year. For comparison, OpenAI completed a record $122 billion fundraising round in March with a post-money valuation of $852 billion.2026-05-09 04:25Anthropic's Revenue Per Employee Hits $9M, 60% Above OpenAI, Tops All Public Tech GiantsAccording to Epoch AI's latest report, Anthropic's revenue per employee reached approximately $9 million, exceeding OpenAI's $5.6 million by 60%. Both companies have surpassed all technology firms on Forbes' Global 2000 list, with Nvidia's revenue per employee at $5.1 million for comparison.2026-05-08 10:45Anthropic Releases Natural Language Autoencoders to Decode AI Model Reasoning, Open-Sources CodeAnthropic recently released Natural Language Autoencoders (NLA), a tool that translates internal model activations into human-readable text, with code and model weights open-sourced on GitHub. Unlike existing tools such as Sparse Autoencoders that output obscure features, NLA directly generates natural language descriptions through a dual-model framework: one model converts activations to text while another attempts to reconstruct activations from text, iteratively improving accuracy via reinforcement learning. In safety testing, NLA revealed hidden model reasoning: Claude expressed doubts about being tested in 16% of adversarial scenarios and demonstrated "exam awareness" in 26% of benchmark tasks, compared to under 1% in normal conversations. In auditing experiments, NLA increased the detection rate of injected deceptive model behaviors from under 3% to 12-15%, enabling auditors to identify hidden objectives without access to training data. The tool is currently deployed in safety audits for Claude Mythos Preview and Opus 4.6.

Hot Posts su Anthropic (ANTHROPIC)

TestnetScholar

TestnetScholar

Proprio adesso
Running finance at one of the world’s most valuable AI companies sounds glamorous right up until you’re simultaneously raising tens of billions of dollars, planning an IPO, and suing the US government. Krishna Rao, Anthropic’s CFO, is doing all three. Rao has been at the helm of Anthropic’s financial operations since 2024, and the pace hasn’t exactly been leisurely. In early 2026, the company closed a $30B Series G funding round that pushed its valuation to $380B. Anthropic, maker of the Claude AI models, is now one of the most valuable private companies on the planet. The fundraising machine meets reality ------------------------------------- Before joining Anthropic, Rao cut his teeth guiding Airbnb through its IPO and various equity raises. That experience has proven useful, because Anthropic’s capital needs are enormous. Rao has been leading multi-cloud, multi-chip compute deals since arriving at the company. The goal: ensure Anthropic has enough processing power to keep pace with rivals like OpenAI and Google DeepMind without becoming captive to any single provider. The real strategic play came in May 2026, when Anthropic announced a new AI services company formed alongside Blackstone, Hellman & Friedman, and Goldman Sachs. The venture is designed to bring Claude-powered AI tools to midsize enterprises, a market segment that has largely been underserved by the major AI labs. The Pentagon problem -------------------- Anthropic filed a lawsuit against the US government over a Pentagon designation that the company views as a direct threat to its revenue. In a court filing from around late April 2026, Rao laid out the financial stakes in blunt terms: the government’s actions risk cutting Anthropic’s 2026 revenue by “multiple billions of dollars” and could cause near-term losses of “hundreds of millions.” Anthropic CEO Dario Amodei publicly apologized last week for how the company handled failed talks with the Pentagon, suggesting the breakdown wasn’t purely the government’s doing. The IPO question ---------------- Anthropic has been widely expected to go public in 2026. With a $380B private valuation and a CFO who guided Airbnb’s IPO, the pieces seemed to be in place. But the DoD tensions have introduced real uncertainty. Wedbush analyst Dan Ives has pointed to the Pentagon dispute as a complicating factor for Rao’s IPO preparations, according to Fortune. If Rao’s warning about “multiple billions” in jeopardized revenue is accurate, the revenue trajectory that justified a $380B valuation may need significant revision. Private investors who participated in the Series G at that valuation are watching closely. The AI services venture with Blackstone, Hellman & Friedman, and Goldman Sachs starts to look less like a strategic expansion and more like a necessary hedge, as diversifying revenue away from the US government becomes urgent when that institutional relationship is falling apart in public. **Disclosure:** This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
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ChainNewsAbmedia

ChainNewsAbmedia

2 minuti fa
Garry Tan 近日發布長文《Meta-Meta-Prompting: The Secret to Making AI Agents Work》，詳細揭露自己如何打造一套由 AI agent 驅動的「第二大腦系統」。他表示，過去五個月 AI 已經讓他重新變回 builder，甚至讓他身為 Y Combinator 執行長的日常工作方式徹底改變。 YC 執行長：未來屬於建立 compoud AI systems 的人 Garry Tan 認為，多數人仍把 AI 當成聊天視窗使用，但真正的機會其實是把 AI 當成一套「作業系統（operating system）」：能持續記憶、累積、更新與串聯個人知識、會議、閱讀與工作流的系統。他甚至直言：「未來屬於那些建立 compound AI systems 的人，而不是只使用大型公司集中式 AI 工具的人。」 (YC 合夥人分享如何用 AI 從頭開始建立公司，新創應將 AI 當作業系統而非工具) 這也與我們先前報導的一致，不論是 Y Combinator Summer 2026 Requests for Startups（RFS），還是 YC 合夥人 Diana 在 Startup School 中，都提到 AI 創業正在從「提高個人工作效率」走向「重建組織與產業流程」。AI 不該只是公司偶爾使用的效率工具，而應該從第一天開始，就被設計成整間公司的作業系統。 (YC 公布 Summer 2026 想投資的 15 種新創方向：AI 創業不是把 Chatbot 塞進產品) AI 幫他把佛學書變成「人生鏡子」 Garry Tan 分享，自己最近閱讀佛教作家 Pema Chödrön 的《When Things Fall Apart》時，第一次真正意識到 personal AI 的威力。他要求自己的 AI 系統執行「book mirror」流程：先拆解全書 22 個章節，再由多個 sub-agent 同時完成兩件事：摘要作者觀點、將每個觀點映射到 Garry Tan 自己的人生。 而且不是泛泛而談的心靈雞湯，而是直接結合： 家庭背景 創業歷史 YC 工作 深夜筆記 閱讀紀錄 therapist 討論內容 與創業者對話 最終輸出一份長達 3 萬字的「brain page」。 例如書中談 groundlessness（無根性）時，系統會連結到他前一週與 founder 的特定談話，談 fear 時，會引用 therapist 指出的行為模式，談 letting go 時，則連結到他深夜寫下的創作自由感受。 Garry Tan 表示，這整個流程只花約 40 分鐘。他認為，即使是時薪 300 美元的心理治療師，也無法在 40 小時內完成類似分析，因為人類沒有辦法同時載入所有工作脈絡、閱讀歷史、會議紀錄、人際關係圖譜，但 AI 可以。 真正關鍵不是模型，而是「技能系統」 不過 Garry Tan 認為，AI agent 真正重要的不是單一模型，而是「skills」。他目前的系統包含超過 100 個 [AI skills](https://www.gate.com/zh/skills-hub) 及約 10 萬頁知識庫。 他將這種架構稱為： Fat skills. Fat code. Thin harness. 意思是： Harness（runtime/router）應該很薄 Skills 應該很胖 真正價值在知識、工作流與資料 他目前使用 Anthropic Claude Opus 4.7 做 precision、GPT-5.5 做 recall 與 extraction、DeepSeek V4-Pro 做 creative work、Groq + Llama 做高速推理，而 OpenClaw 與 Hermes Agent 則負責 routing。 Garry Tan 認為：「模型只是引擎，其他部分才是車子。」AI agent 不再只是 prompt，而是可複利的 workflow，Garry Tan 強調，自己現在幾乎不再 prompt AI。真正重要的是 skill system。 例如： meeting-ingestion media-ingest enrich perplexity-research investor-update-ingest email-triage calendar-check 每個 skill 都是可重複、可測試、可組合的工作流模組。而最重要的是，他還建立了一個名為「Skillify」的 meta-skill。當他發現某個工作流會重複出現時，只要輸入：skillify this 系統就會分析剛剛的操作、抽取可重複模式、建立 skill file、加入 resolver routing system 並累積到未來所有 workflow。 10 萬頁知識庫：AI 開始像神經系統而不是檔案櫃 Garry Tan 表示，他目前維護約 10 萬頁結構化 knowledge base。每個人物、公司、會議、書籍、Podcast、文章、想法都會建立專屬頁面。而每次 meeting 結束後，AI 會自動產生 transcript、建立摘要、更新人物頁、更新公司頁、更新 timeline、更新 open threads、更新 relationship context。 這代表 AI 不再只是儲存資料，而是開始像「神經系統」。他形容檔案櫃只是儲存東西，神經系統則會連結、提醒、更新與推導。 AI 時代最重要的是個人 compound system Garry Tan 最後的核心觀點非常鮮明：未來最強的人，不一定是用最強模型的人，而是能建立： 自己的 knowledge graph 自己的 workflows 自己的 skill system 自己的 personal AI OS 因為隨著每本書，每次 meeting，每次 skill 改進，每次資料更新全部持續累積後，整個 AI 系統會開始出現 compound effect。他甚至表示，現在每天凌晨兩點還在 coding，不是因為工作太多，而是因為：「AI 把 builder 的快樂還給我了。」 這篇文章 Garry Tan：我現在很少對 AI 下提示詞！YC 執行長解析「可複利 AI 工作流」 最早出現於 鏈新聞 ABMedia。
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MrDecoder

MrDecoder

4 minuti fa
Shares of **CoreWeave **(CRWV 11.40%) sank following the company's first-quarter earnings announcement despite the neocloud company reporting another quarter of massive revenue growth and a swelling backlog. However, its adjusted earnings-per-share (EPS) loss was more than anticipated, and its Q2 guidance fell short of expectations. The stock is still up more than 60% year to date as of this writing. Let's dive into CoreWeave's results to see if this dip in the growth stock is a buying opportunity. Expand ![](https://img-cdn.gateio.im/social/moments-eaa4c402c7-25352289b7-8b7abd-e5a980) NASDAQ: CRWV ------------ CoreWeave Today's Change (-11.40%) $-14.69 Current Price $114.15 ### Key Data Points Market Cap $63B Day's Range $110.55 - $123.75 52wk Range $52.90 - $187.00 Volume 48M Avg Vol 28M Gross Margin 34.82% **Project backlog continues to build** -------------------------------------- CoreWeave once again saw its revenue more than double, climbing 112% to $2.08 billion from $982 million a year ago. That came in ahead of the $1.97 billion analyst consensus, as compiled by **LSEG**. However, its adjusted EPS loss grew to $1.12 and was wider than the $0.91 loss analysts had expected. One issue weighing on the stock is higher component costs. Due to this, the company raised the low end of its full-year capital expenditure (capex) budget to a range of $31 billion to $35 billion, from a prior outlook of $30 billion to $35 billion. Some investors have already questioned the economics of cloud computing and the artificial intelligence (AI) infrastructure build-out, so higher component costs only add fuel to that fire. Despite higher losses and increasing component costs, CoreWeave's project backlog continues to balloon, reaching nearly $100 billion. During the quarter, the company signed multiple new agreements with **Meta Platforms**, including a $21 billion commitment in March. It also received commitments from Anthropic and expanded deals with existing customers, including Mistral and Cohere. To help fund its build-out, the company has raised more than $20 billion in debt and equity. This includes an $8.5 billion delayed draw term non-recourse loan and a $2 billion equity investment from **Nvidia**. Non-recourse means the loan is secured by a specific asset, and a lender cannot pursue any other company assets in the case of default. The company guided for Q2 revenue to be in a range of $2.45 billion to $2.6 billion, below the $2.69 billion consensus. It maintained its full-year guidance for revenue of between $12 billion and $13 billion. It is still expecting to achieve a $30 billion annual revenue run rate by the end of 2027. ![](https://img-cdn.gateio.im/social/moments-80bd52a0aa-38c1780ba4-8b7abd-e5a980) Image source: The Motley Fool. **Should investors buy CoreWeave stock on the dip?** ---------------------------------------------------- CoreWeave is a highly leveraged way to play the data center AI infrastructure boom. Unlike the big three cloud providers, **Amazon**, **Microsoft**, and **Alphabet**, it's not generating a lot of cash flow to pay for its build-out, so it's going to have to take on a lot of debt. It also doesn't have any of its own custom silicon, and as such, relies on off-the-shelf graphics processing units (GPUs) and other chips. That makes it a bit more vulnerable to rising component prices than some others in the cloud computing space. Overall, CoreWeave is a highly speculative stock. Its model could work as it scales, but it's not the way I'd want to play the AI infrastructure boom.
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