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ANTHROPIC

Anthropic Price

ANTHROPIC
$0
+$0(0.00%)
No data

*Data last updated: 2026-05-11 16:06 (UTC+8)

As of 2026-05-11 16:06, 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%
Shares Outstanding0.00

Learn More about Anthropic (ANTHROPIC)

Gate Learn Articles

Anthropic "Cuts Off" Windsurf, AI Coding Becomes "Proxy War" Among AI GiantsOpenAI's acquisition of the AI programming platform Windsurf has caused a stir in the industry, while Anthropic's cessation of the Claude model supply to Windsurf has further intensified market competition.2025-06-11
Seventy-Two Hours of Anthropic’s Identity CrisisIn just seventy-two hours, Anthropic confronted a Pentagon ultimatum, public allegations from Elon Musk, and the withdrawal of its own safety pledges. From refusing to develop autonomous military weapons to revising RSP 3.0 and abandoning the "pause training" red line, this company—positioned as a leader in "safe AI"—is now grappling with a widening gap between its brand and operational reality. This article dissects the political dynamics, valuation pressures, and the unraveling of the safety narrative premium driving this identity crisis.2026-03-05
Claude Code Source Code Leak: In-Depth Industry Analysis—Anthropic's Vision Extends Far Beyond Just an AI Coding AssistantThe Claude Code source code leak incident highlights more than a simple engineering error—it offers an early preview of Anthropic’s product strategy: background operations, automated execution, multi-agent collaboration, and permission automation. This article examines, from an industry standpoint, the probable directions Anthropic may pursue with Claude Code.2026-04-02

Blogs

ANTHROPIC Valued at Over $120 Billion: How Can You Trade ANTHROPIC Early on Gate TradFi?AI super-unicorn Anthropic now boasts a valuation exceeding $1.2 trillion—how can you get ahead of the curve with Gate TradFi? This article offers a comprehensive analysis.2026-05-09
# In-Depth Analysis of xAI’s Integration with SpaceX: How SpaceXAI Is Reshaping the AI Computing Power and Crypto LandscapeElon Musk announces the integration of xAI into SpaceX, rebranding it as SpaceXAI. SpaceXAI has leased 220,000 GPUs to Anthropic, marking the start of a trillion-scale computing power consolidation. This article examines the shifting landscape of computational resources and explores its ripple effects on the crypto AI sector.2026-05-08
How many AI large language models has GateRouter integrated? Latest data as of April 2026As of April 7, 2026, GateRouter has officially integrated with over 20 leading AI models, covering top global AI providers such as OpenAI, Anthropic, Google, xAI, and DeepSeek.2026-04-07

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Anthropic (ANTHROPIC) Latest News

2026-05-11 11:21EU Commission Welcomes OpenAI's Plan to Open Latest ChatGPT Model Access on May 11According to EU Commission spokesperson Thomas Rennier, the EU Commission welcomed OpenAI's intention to open access to its latest ChatGPT model on May 11. The EU said it will engage in further discussions with OpenAI this week. The Commission is also seeking a similar arrangement with Anthropic regarding its Mythos model, as discussions with the company are ongoing.2026-05-11 02:11Anthropic Secures 220,000 Nvidia GPUs from Elon Musk, Disclosed May 6Anthropic secured access to 220,000 Nvidia GPUs from Elon Musk on May 6, according to The Prompt. The deal provided the AI company with a significant compute surge, enabling it to nearly double Claude Code's rate limits. The disclosure came as Musk was simultaneously in court suing OpenAI, the AI company he co-founded.2026-05-10 08:30Enterprise AI Platform Pit Closes $16M Series Funding Led by a16zAccording to Odaily, enterprise AI platform Pit announced the completion of a $16 million funding round led by a16z, with participation from Lakestar and executives from OpenAI, Anthropic, Google, Deel, and Revolut. Pit positions itself as "AI product team as a service," designed to replace traditional spreadsheets and rigid SaaS systems.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 4.6.2026-05-07 12:00Anthropic Valuation Breaks $1.26 Trillion, Surpassing OpenAI for First TimeAccording to Beating, Anthropic's implicit valuation on Jupiter's Pre-IPO market has surged to $1.26 trillion, surpassing OpenAI for the first time. The valuation has risen 20% over the past 7 days and climbed 900% since October 2025. Polymarket prediction market data shows an 86% probability that Anthropic's valuation will exceed OpenAI's in 2026, according to PolyBeats.

Hot Posts About Anthropic (ANTHROPIC)

TokenomicsTinfoilHat

TokenomicsTinfoilHat

19 minutes ago
I just realized something interesting about what Naval Ravikant is actually doing with AngelList's new USVC fund. Most people see it as just another venture capital product for retail investors, but the real story is way more compelling. Naval's track record speaks for itself. We're talking about someone who backed Uber, Twitter, and Notion—companies that went on to reshape entire industries. Notion's journey from startup to potential IPO is a perfect example of the value creation that happens in the private market before the public even gets a chance to invest. Now, as chairman of USVC's investment committee since April 2026, he's essentially trying to democratize access to that same opportunity. Here's what's actually happening: AngelList is packaging something that used to be exclusive to the ultra-wealthy and institutional players—early exposure to unlisted growth companies. The data is pretty stark. In 1980, companies went public at a median age of 6 years. Today? It's 13 years. That extra seven years is where the real value gets created, and ordinary investors have been locked out of it entirely. USVC wants to change that. The fund's portfolio tells you everything you need to know about their ambitions. As of March 31, 2026, they've deployed 44% of capital across companies like xAI, Anthropic, OpenAI, and Vercel. These aren't theoretical investments—they're the companies you read about in tech news, except now retail investors can actually get exposure before they go public. The entry point is refreshingly low at $500, and they even support monthly automatic investments. That's clever packaging. But here's where it gets real: you're not actually buying direct stakes in these companies. You're buying fund units, which means you're getting indirect exposure through VC vehicles and SPVs. The fees are also substantial—currently 2.5% annually after waivers. And liquidity? Quarterly buybacks capped at 5% of net assets. This isn't a stock you can dump whenever you want. It's closer to traditional venture funds in terms of lock-up structure, just slightly more flexible. The Web3 community is paying attention because Naval and AngelList have been genuinely engaged with crypto for years. Naval's been bullish on crypto since at least 2017, and AngelList now has dedicated crypto solutions through partnerships like CoinList. Meanwhile, crypto exchanges are launching their own pre-IPO products, but most of them prioritize speed and liquidity over Naval's more regulated, slower approach. It's a fascinating moment. You've got two worlds—traditional venture and Web3—chasing the same narrative: if great companies stay private longer, how do ordinary people get in before the IPO? Naval's name opens doors, AngelList's network brings unlisted companies closer to the public, but the fundamental constraints haven't really disappeared. You're still dealing with illiquidity, high fees, and long holding periods. The door's just slightly more open than it used to be.
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HackerWhoCares

HackerWhoCares

22 minutes ago
You ever notice how everyone tries to copy the winning portfolio the moment it gets published? Well, there's this 24-year-old German guy named Leopold Aschenbrenner who's basically broken that game. His fund is up 61% in two months, and people are going absolutely nuts trying to figure out his next move. The wild part? He's not buying Nvidia. Not buying OpenAI. Not touching any of the obvious AI plays everyone else is chasing. Instead, Leopold Aschenbrenner is betting everything on the stuff AI actually needs to exist: power generation, chip manufacturing, data centers. The whole thesis is simple - the real bottleneck isn't algorithms, it's electricity and computing power. His two biggest wins show how this plays out. Bloom Energy, a fuel cell company providing off-grid power to AI data centers, jumped 239% year-to-date. His position there went from $875 million to nearly $3 billion. Then Intel - he bought 20 million call options when the stock was around $20 and everyone on Wall Street was bearish. Intel hit $113 last week, a 25-year high. That's roughly a 5x return on the options alone. Obviously, Reddit and investment blogs immediately started asking the same question: which stock is he buying next? The Motley Fool published four articles in one day breaking down his holdings. But here's what everyone misses - position reports have a 45-day delay. By the time you see what he bought, the market already moved halfway through. More importantly, you can't actually replicate why he keeps getting it right. The real edge isn't the thesis. Plenty of people figured out AI needs more power. The edge is the circle. Leopold Aschenbrenner spent a year at OpenAI's Superalignment team working directly under Ilya Sutskever. He saw the actual roadmaps, the real power consumption numbers, the specific chip requirements for next-gen models. When he wrote about gigawatt-level power demands in his paper, that wasn't speculation - that was based on internal lab knowledge. His LPs are basically Silicon Valley's infrastructure gatekeepers. The Stripe founders have direct visibility into which companies are signing massive power contracts. Nat Friedman, former GitHub CEO and now Meta AI's product lead, is literally involved in computing power procurement decisions every single day. His research director, Carl Shulman, spent years at Peter Thiel's hedge fund translating AI insights into actual trading strategies. There's also the detail that his fiancée is chief of staff to Dario Amodei at Anthropic. So Leopold Aschenbrenner has practical experience at OpenAI and regular contact with Anthropic's leadership. He's one of the few people with deep connections to both sides of the AGI race. Even weirder - he held positions in CleanSpark and Bitfarms, both Bitcoin mining companies converting their operations into AI computing centers. Turns out he spent nine months at FTX's charitable foundation before it collapsed. He's basically one of the few people who understands both crypto infrastructure and cutting-edge AI labs. That intersection alone is worth something. The structure of his fund is telling too. He explicitly rejected the VC route because he wanted to bet on established companies with existing physical infrastructure - fuel cells, chip manufacturers, mining farms. These have been public for years but analysts are still using old valuation models. They haven't seriously priced in the variable of "essential AI infrastructure." That's the arbitrage. But here's the thing that actually matters - this creates a self-reinforcing loop. Better returns attract more industry insiders as LPs. More LPs means access to more concentrated information from decision-makers. Better information means more accurate bets. Higher returns attract even more connected LPs. For outsiders, the barrier to entry only gets higher. Everyone sees his portfolio and wants to copy it. But you're not copying a position, you're copying a moment in time when someone had information you didn't have. His papers are public. His holdings reports are public. His investment logic is explained in podcasts. But even if you understand every single judgment perfectly, you can't replicate the position he was in when he made those judgments. Knowledge can't be shared the same way positions can be traced. That's the real asymmetry. Leopold Aschenbrenner's returns aren't about being smarter - they're about being in the right circle at the right time. And that's the thing you actually can't buy.
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RugResistant

RugResistant

23 minutes ago
Just came across something pretty interesting in the market chatter. There's this whole reassessment happening around a certain crypto founder's early venture bets, and the numbers are honestly wild when you think about what could have been. So before everything went down, this person had quietly positioned themselves in some seriously prescient investments. We're talking Anthropic now valued near 90 billion, some AI coding tools that partnered with SpaceX potentially hitting 60 billion valuations, plus early plays in Robinhood and other tech plays. The timing was almost eerie—all these bets placed right before the whole AI explosion really kicked off. A partner from Scale Venture Partners actually commented on it, saying the investment acumen shown here was genuinely rare. Spotting these opportunities before ChatGPT even became a household name? That's the kind of foresight most VCs dream about. If things had gone differently, we're talking theoretical gains approaching 100 billion on top of what was already there. But here's where it gets dark. At his peak, this person's net worth hit around 24 billion, making the Forbes 400. The personal wealth, the investment portfolio, the seemingly brilliant market reads—it all meant something once. Now? It's all completely overshadowed by the fact that he's currently doing a 25-year sentence for misappropriating over 8 billion in client funds. The sbf narrative really is one of crypto's most cautionary tales. You've got genuine investment talent intertwined with massive financial crime, and honestly, it's hard to separate the two anymore. The venture capital wins feel almost irrelevant now. What sticks is the betrayal and the prison time. Pretty brutal reminder that in this space, your legacy can flip overnight.
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