Performance Surpasses Opus! Anthropic Leaked Document Reveals: The New Generation Super Model Claude Mythos Is Already in Testing

marsbitPublished on 2026-03-27Last updated on 2026-03-27

Abstract

According to leaked internal documents from Anthropic, the company's highly anticipated next-generation AI model, Claude Mythos, is currently in a secret testing phase. The documents reveal a new model tier named "Capybara," which represents a major technological leap, featuring a larger scale and superior intelligence that surpasses the flagship Claude Opus model. The leak also highlights significant concerns within Anthropic regarding unprecedented cybersecurity risks associated with Claude Mythos, prompting a cautious release strategy to balance advanced capabilities with safety. This development is expected to significantly raise the benchmark for large language models, intensifying competition in the AI industry and pushing the evolution of models toward deeper logical reasoning and complex task handling. The official release date for Claude Mythos remains unannounced.

The competition in computing power and intelligence in the field of artificial intelligence is entering a new phase as new models from top-tier labs are exposed.

On March 27, according to media reports citing internal leaked documents from Anthropic, the highly anticipated new generation super model Claude Mythos has now entered a secret testing phase. This leaked blog draft not only showcases the model's powerful performance but also sparks a fresh round of discussion on AI safety.

Defining a New Tier: The Leap from "Opus" to "Capybara"

The leaked document discloses a completely new model tier designation—Capybara. This tier represents the most groundbreaking technological leap in Anthropic's history:

Intelligence Ceiling: The document clearly states that Capybara corresponds to a new, larger-scale tier with a higher level of intelligence.

Surpassing the Flagship: Its comprehensive capabilities have fully surpassed those of the previously industry-benchmark Claude Opus model.

Naming Association: Internal information indicates that Capybara and Mythos most likely refer to different expressions of the same underlying architecture.

The Two Sides of the Coin: Unprecedented Cybersecurity Risks

Alongside the soaring intelligence level, Anthropic internally has also expressed high alert regarding the potential demonstrated by Claude Mythos.

Risk Assessment: The leaked document shows that the company believes this model presents unprecedented cybersecurity risks.

Safety Countermeasures: This risk warning also explains why Anthropic has always maintained a cautious release节奏, attempting to find a stricter balance between pursuing "the most powerful intelligence" and "human safety".

Industry Shockwaves: The Large Model Hierarchy Faces a Reshuffle

As OpenAI's most formidable competitor, Anthropic's move with this new model undoubtedly drops a bombshell on the entire industry:

Competition Escalation: The emergence of Claude Mythos means the baseline for large model capabilities will once again be significantly raised.

Technological Evolution: Judging from the currently disclosed information, the next generation of models is evolving from mere conversational ability towards deeper logical reasoning and complex task handling.

Conclusion: Searching for the "Mythical" Boundaries of AI

Although the official release date for Claude Mythos has not yet been set, the outline of "stronger intelligence" is already clearly visible. As AI's intelligence level begins to surpass the cognitive boundaries of humanity's past, how to harness this power will become a common challenge faced by Anthropic and even global tech giants.

Related Questions

QWhat is the name of Anthropic's new AI model that is currently in secret testing, as revealed by leaked documents?

AClaude Mythos

QAccording to the leak, what is the name of the new model tier that represents a major technological leap for Anthropic and is associated with Claude Mythos?

ACapybara

QWhich existing Anthropic model does the new Claude Mythos model reportedly surpass in overall capability?

AClaude Opus

QWhat major concern does Anthropic have regarding the Claude Mythos model, as mentioned in the leaked documents?

AIt presents unprecedented cybersecurity risks.

QHow is the emergence of Claude Mythos expected to impact the broader AI industry, according to the article?

AIt will significantly raise the benchmark for large model capabilities and force a reshuffling of the industry's top tier.

Related Reads

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit17m ago

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit17m ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit1h ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit1h ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit1h ago

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

Coldcard hardware wallet users are facing a new wave of coordinated attacks targeting a firmware flaw, with researcher Alex Thorn flagging 218 recent transactions moving approximately 389 Bitcoin from potentially impacted addresses. The attack pattern shows a high rate of transactions targeting unique victim addresses, differing from previous waves. The vulnerability, which causes affected devices to generate weaker wallet seeds, is estimated to have impacted over 1,100 wallets, leading to around $90 million in Bitcoin stolen. Thorn advises affected users who control their keys may attempt to move funds with a higher-fee transaction before the attacker's transactions are confirmed.

cointelegraph1h ago

Suspected 4th Coldcard attack wave sweeps 389 Bitcoin: Galaxy’s Thorn

cointelegraph1h ago

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

Bitcoin miners are capitulating as evidenced by a sustained drop in network hash rate and a record-steep 19.9% decline in mining difficulty, signaling the shuttering of unprofitable machines. However, in a significant divergence from historical patterns, the stocks of publicly traded mining companies have soared, with one major player gaining over 430% in the past year, even as BTC's price fell roughly 46%. This surge is largely attributed to these companies pivoting toward the more lucrative AI narrative. Simultaneously, miners face a structural squeeze. Daily block reward revenue in BTC terms has hit a new all-time low following the latest halving, with current dollar-denominated daily revenue around $30 million compared to a longer-term average of ~$40 million. Fee revenue remains negligible, covering less than one block's subsidy over a 28-day average and accounting for only about ten minutes of the network's daily security budget. This capitulation cycle is unique: miner stress and crypto price weakness have decoupled due to alternative revenue streams (AI), while the long-term reliance on increasing bitcoin prices to offset shrinking subsidies continues, with fee income still far from filling the impending gap.

marsbit1h ago

Bitcoin Miners Are Waving the White Flag, But Their Stocks Are Soaring

marsbit1h ago

Trading

Spot
活动图片