# Anthropic Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Anthropic", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Anthropic Employees Leave to Start a Business, Valued at $1 Billion, Also Focused on 'Recursive Self-Improvement'

Former Anthropic employees Behnam Neyshabur and Harsh Mehta have founded a startup named Mirendil, securing $200 million in seed funding at a $1 billion valuation from investors including Andreessen Horowitz, Kleiner Perkins, and NVIDIA. The company, staffed by researchers from Anthropic, xAI, Google DeepMind, and OpenAI, aims to accelerate scientific discovery by focusing on "recursive self-improvement" for AI. Their vision, described as "AI for AI for Science," is to build a platform enabling research labs in fields like medicine and materials science to develop and iteratively improve their own specialized AI models, rather than relying on general-purpose models from large tech firms. Neyshabur argues this approach, involving AI that can optimize its own code under human supervision, is the fastest path to AI-accelerated science. The founders believe a market opportunity exists because major AI companies, while increasingly using AI to advance their own research, restrict external developers from using their models to train competing products. Mirendil plans to release its first models soon to gather early user feedback, with the goal of empowering thousands of labs to tackle critical scientific challenges.

marsbitYesterday 03:26

Anthropic Employees Leave to Start a Business, Valued at $1 Billion, Also Focused on 'Recursive Self-Improvement'

marsbitYesterday 03:26

Fable 5 Begins Gradual Rollout? Countdown to the June 26th Deadline

Exciting news has emerged in the AI community: Fable 5, which was previously disabled, appears to be undergoing a partial, gradual rollout. Users are reporting sightings of the model in the Claude mobile app's model selector and through specific commands, accompanied by messages about weekly usage limits. Code strings in recent Claude updates hint that Fable 5 might be permanently integrated into existing subscriptions as a weekly quota, rather than a separate purchase. The rollout seems inconsistent—available only in specific chat threads for some users, with indications that previous geographic restrictions may be loosening. A brief appearance on AWS, requiring U.S. ID verification and use-case approval, was later clarified as a UI bug. Simultaneously, rumors are circulating about the imminent launch of Claude Sonnet 5 (codenamed Fennec), which is speculated to offer performance nearing that of Opus 4.8. This would represent a significant generational leap. Anthropic has also quietly removed usage limits for the current Claude Sonnet model, fueling speculation about an upcoming major release. This flurry of activity comes just before a critical June 26th deadline. U.S. lawmakers have demanded that the Department of Commerce clarify its standards and timeline for potentially modifying export controls on such AI models. The recent testing and leaks are seen as high-stakes maneuvers ahead of this regulatory decision. The AI world is now watching closely to see if a wider reinstatement of advanced models will follow.

marsbitYesterday 02:36

Fable 5 Begins Gradual Rollout? Countdown to the June 26th Deadline

marsbitYesterday 02:36

Fable 5 is about to make a comeback, code exposed? Anthropic CEO kicked out of the White House

Fable 5, a previously restricted AI model from Anthropic, appears poised for a comeback. Evidence from leaked code in the Claude Code v2.1.190 version suggests a shift in its business model from a separate purchase to a potentially limited weekly usage allowance within standard Claude subscriptions. Furthermore, the model has reportedly reappeared in Amazon Bedrock documentation. This potential revival coincides with significant internal changes at Anthropic. According to a report by The Wired, CEO Dario Amodei was reportedly sidelined from negotiations with the Trump administration over Fable 5's export restrictions. Government officials found him difficult to communicate with. Co-founder Tom Brown and policy head Sarah Heck took over discussions, leading to more productive technical talks aimed at addressing White House security concerns about the model being "jailbroken." External pressure is mounting as a bipartisan group of US lawmakers has demanded answers from the Commerce Department by a June 26 deadline regarding the criteria and timeline for potentially reinstating public access to Fable 5. The potential return of Fable 5 comes as competitors OpenAI and Google have reportedly delayed their own major model releases. If Anthropic successfully navigates the government's security review, Fable 5 could gain a significant "safety-certified" advantage in the enterprise market. The countdown to the June 26 deadline is now underway.

marsbit2 days ago 07:29

Fable 5 is about to make a comeback, code exposed? Anthropic CEO kicked out of the White House

marsbit2 days ago 07:29

Claude's Capabilities Extracted at Large Scale? Anthropic Accuses Ali-Related Parties of 'Distilling' Models

Anthropic alleges that entities associated with Alibaba and its AI lab Qwen used nearly 25,000 fraudulent accounts to extract capabilities from its Claude AI model in what it calls the "largest known" model distillation attack. The alleged incident occurred between April 22 and June 5, involving over 28.8 million interactions with Claude. Model distillation involves using a powerful model's outputs to train another model, potentially replicating abilities like software engineering and agent reasoning without stealing the underlying code. The accusations emerge amid heightened US AI export controls and the Pentagon's listing of Alibaba as a "Chinese military company." Anthropic detailed the claims in a June 10 letter to the US Senate Banking Committee, urging better threat intelligence sharing. While not conclusively proving direct Alibaba involvement or successful capability replication, the case highlights growing concerns over AI model outputs as contested assets. The incident may push for stricter controls on model access and user verification, increasing compliance costs for AI firms and potentially limiting Chinese companies' access to advanced foreign models.

marsbit2 days ago 06:29

Claude's Capabilities Extracted at Large Scale? Anthropic Accuses Ali-Related Parties of 'Distilling' Models

marsbit2 days ago 06:29

Giants Wage the Context War, Reconstructing AI Moats

The article "Giants Launch the Context War, Reconstructing AI's Moat" discusses how leading AI companies—OpenAI, Anthropic, and Google—are shifting their competitive focus from model size to acquiring, managing, and utilizing user context (Context). Initially, Context referred to the length of text a model could process, leading to a "arms race" for longer context windows. However, the competition has evolved through three key phases: expanding text capacity (long context windows), enabling memory across sessions, and finally, integrating AI into real user environments like browsers and desktops to capture dynamic task states. Each company is pursuing a distinct strategy. OpenAI is building Context around the ChatGPT account, turning it into a central hub that accumulates user understanding across various integrated applications and tools. Anthropic, lacking a major user base, focuses on high-value verticals like coding, empowering its Claude model to actively gather Context through GUI interaction (Computer Use) and system connections (MCP protocol). Google, with vast existing user data from products like Search and Gmail, faces the challenge of restructuring this data into actionable, AI-understandable Context for its Gemini model within its ecosystem. The core argument is that the nature of competitive advantage in AI is changing. The internet era prized network effects—connecting more users. The AI era values "individual depth": the ability to build deep, task-specific understanding of a user. This creates a new moat through 1) the compounding value of accumulated Context, 2) deep integration with user tools and permissions, and 3) the establishment of trust for complex tasks. Therefore, the battle for Context is fundamentally about capturing "task entry points" and converting existing digital ecosystems into environments where AI can effectively understand and act, rather than merely scaling user numbers.

marsbit06/23 23:13

Giants Wage the Context War, Reconstructing AI Moats

marsbit06/23 23:13

OpenAI Partners with PE Firms, Investing $4 Billion. Let's Talk About Silicon Valley's Hottest New Role: FDE.

The hottest new role in Silicon Valley is the Forward Deployment Engineer (FDE), a hybrid of engineer and business consultant whose core mission is to transform AI demos into native, practical workflows within client organizations. The recent surge in demand is driven by a strategic shift from leading AI companies. OpenAI, partnering with 19 private equity firms in a $4 billion investment, formed a Deployment Company and acquired Tomoro along with its 150 FDEs. Anthropic also announced a $1.5 billion joint venture with financial institutions like Blackstone. The article, based on interviews with industry experts Jove (FDE lead at Cresta) and Oliver (VP at Invisible Technologies, ex-McKinsey), explores the FDE role and the rise of deployment-focused companies. Key insights include: **The FDE Role:** Jove describes an FDE as a "Forward Deployed CTO"—a technically strong engineer who works intimately with clients to implement AI solutions, learn from the process, and feed those insights back to improve the core product. They require expertise in AI agents, client-facing experience, resilience, and the ability to handle complex, imperfect systems. While AI tools enhance their efficiency, the role's complexity makes full automation a distant prospect. **Industry Shift:** Model companies are moving beyond selling tools to ensuring real-world adoption. This blurs the line between model and application companies. Collaborations with private equity (PE) firms are key, providing access to large portfolios of traditional businesses needing AI transformation. For PE firms, these partnerships offer signal value to LPs, create tangible value in portfolio companies, and provide exposure to high-growth AI assets. **Consulting & Transformation:** AI deployment involves deep, customized workflow redesign, moving beyond simple tool augmentation. Companies like Invisible Technologies build modular platforms to create bespoke, AI-native workflows for clients. While traditional consulting will see growth in helping businesses rethink their models for AI, the real value is captured by firms that leave behind transformed, operational systems. Critical success factors include building robust data foundations and strategically deciding which workflow steps should be deterministic versus AI-driven. The ultimate goal shifts from pure cost-cutting to unlocking new revenue opportunities previously impossible without AI-scale capabilities.

marsbit06/23 07:28

OpenAI Partners with PE Firms, Investing $4 Billion. Let's Talk About Silicon Valley's Hottest New Role: FDE.

marsbit06/23 07:28

‘AI Broke Through NSA in Hours’ Goes Viral, But Is It Actually a Red Team Exercise?

The viral claim that Anthropic's AI model 'Mythos' breached almost all of NSA's classified systems in 'hours, not weeks' has been clarified as a misinterpretation. The statement originated from a U.S. Senator citing the NSA director within a broader argument for mandatory pre-release testing of frontier AI models. The author of the original Economist article later clarified that the feat was achieved under very specific, controlled conditions during an authorized red-team exercise, where Mythos was used alongside other tools to find vulnerabilities in a replica of NSA systems, not a live breach. This highlights Mythos's advanced capabilities in vulnerability discovery and attack path reasoning during security testing. Anthropic restricts access to such powerful models through its 'Project Glasswing' program for vetted defense organizations. The incident underscores the U.S. government's conflicted stance: while citing security risks to justify actions like export controls on Anthropic's models, agencies like the NSA reportedly continue using them for defense purposes. The narrative evolved from a call for regulation into a sensationalized 'AI hacks NSA' headline, demonstrating how technical achievements in controlled environments can be misconstrued as real-world attacks.

marsbit06/23 00:54

‘AI Broke Through NSA in Hours’ Goes Viral, But Is It Actually a Red Team Exercise?

marsbit06/23 00:54

GLM Hits a Trillion, Will DeepSeek Be Far Behind?

Zhipu AI, a Chinese AI company, has reached a market capitalization exceeding HK$1 trillion, with its stock rising over 1900% this year. Its valuation now rivals half of Alibaba's, highlighting intense market speculation around Chinese AI firms. Despite 2025 revenues of only ¥7.24 billion and a net loss of ¥47.18 billion, investors are pricing in massive future growth, driven by its GLM-5.2 model and its positioning as China's potential answer to Anthropic. The surge reflects a broader trend: soaring valuations for AI companies across primary and secondary markets. DeepSeek's latest funding round valued it over $50 billion, while other players like MiniMax and StepFun are also targeting listings. This capital influx is concentrated in hard tech and AI within Hong Kong's IPO market. However, concerns about a bubble are mounting. Zhipu's high valuation, volatile trading, and impending share lock-up expiries pose near-term risks. The core challenge for Zhipu and its peers is transforming advanced model capabilities into sustainable revenue and profit, following the path of Anthropic which is nearing operational profitability. The trillion-HK dollar mark for Zhipu represents a symbolic peak for China's AI industry, but its permanence hinges on demonstrable commercial success.

marsbit06/22 23:23

GLM Hits a Trillion, Will DeepSeek Be Far Behind?

marsbit06/22 23:23

Google's AI Talent Loss: A Stress Test or a Prelude to an 'Obituary'?

The departure of high-profile AI talent from Google, including transformer pioneer Noam Shazeer and AlphaFold's John Jumper, has sparked debate about the company's competitive position. However, this is less a sign of decline than a pressure test typical of the pre-IPO talent wars among AI giants like OpenAI and Anthropic. Google's true strength lies not just in models but in its unparalleled full-stack position: extensive AI research, proprietary infrastructure (TPU, Google Cloud), a massive user base across products (Search, YouTube, Android), and established enterprise relationships. It is simultaneously a competitor and a key infrastructure provider for rivals. While facing the innovator's dilemma inherent to protecting its core search business, Google is aggressively integrating AI across its ecosystem. The narrative shouldn't focus on individual departures but on Google's systemic advantages—its deep talent pool, integrated product strategy, and capacity to compete across every layer of the AI stack for the long term.

marsbit06/21 08:55

Google's AI Talent Loss: A Stress Test or a Prelude to an 'Obituary'?

marsbit06/21 08:55

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit06/20 04:02

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?