[Featured Story] Three weeks ago, a wild rumor began spreading. Now, it seems Mythos has confirmed it: Anthropic may have completed the largest training run in history. The new model’s performance could be double what was expected, crushing Scaling Law predictions. A disruptive revolution is coming. Computing power and energy are becoming the ultimate chips. Startups may face devastating blows.
Three weeks ago, a rumor started making the rounds. Today, it looks more and more believable: a top lab has completed the largest training run in history.
The new model’s performance has far exceeded internal expectations, even breaking predictions based on Scaling Law.
If all of this is true, we may be standing on the eve of a disruptive revolution.
Today, AI influencer Andrew Curran dropped a post on X that set the entire industry on fire.
He believes the legendary lab in question is Anthropic.
They may have already achieved a breakthrough in architecture: beyond a certain scale, or when trained in a specific way, the model produced capabilities far beyond anything seen before.
When the first Mythos rumors surfaced, cybersecurity stocks already tanked. What comes next could be even scarier.
The Eve of a Silicon Valley Storm?
Mythos, or its alternate name Capybara, is almost certainly Anthropic’s next flagship model.
The most chilling detail: the model’s actual performance is reportedly double what was expected internally.
In the AI world, a 2x performance leap means a generational jump in reasoning ability.
If GPT-4 was an excellent college student, then Mythos could be a think tank made of tens of millions of geniuses.
Anthropic’s chief scientist once predicted that “fully automated AI research could be achieved within a year.” Looking back, he was not forecasting the future. He was describing a demo already running on their servers.
Claude 5.0 Beta Leaked: Coding and Reasoning at God Level
Just yesterday, users spotted Anthropic quietly testing its next-generation flagship model: Claude Mythos 5.0 Beta.
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In ai hentai chat the Claude interface, Mythos 5.0 (Beta) appeared out of nowhere. The official description calls it “larger and smarter.”
In the Claude Code terminal, Mythos 5 is even labeled directly as “the next generation model.”
According to earlier leaks from insiders, Mythos 5.0 is an absolute monster in coding, reasoning, and offensive security — so powerful it is hard to believe. The first leak alone caused cybersecurity stocks to crash.
On March 27, Fortune exclusively reported that Anthropic’s strongest model, Claude Mythos, completely crushed Claude Opus 4.6 and possessed powerful “cyber attack” and “defense” capabilities.
Internal tests show that Mythos will bring unprecedented security risks. Anthropic has held back because they know that once this “beast” is unleashed, the consequences are impossible to predict.
In cyber attacks, Mythos is far ahead of any model on Earth. Therefore, it is highly likely to be weaponized by hackers for large-scale, devastating attacks.
Fortune got this exclusive because they found a leaked blog post draft.
Netizens quickly confirmed that the value of this leak keeps going up.
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Was Ilya Wrong?
Obviously, if this breakthrough is real, then Ilya’s Scaling Law wall theory from six months ago starts to look a little awkward.
In a Reddit thread on this topic, the core debate was: is Claude 5.0’s leap the result of raw compute power, or an architecture revolution?
According to the rumor, Anthropic discovered a brand new training method beyond a certain scale.
If it were just more GPUs, performance would follow diminishing returns. But if an “architecture breakthrough” happened, the performance curve would shoot up like a rocket.
And Ilya, former chief scientist at OpenAI, may not have predicted that the “wall” he thought we would hit could be broken by a new kind of “recursive self-improvement” mechanism.
This is also the Karpathy rule. In October 2025 he was still complaining that AI writes garbage code. Two months later, AI was writing 80% of his code. Even top experts often fail to grasp what “exponential thinking” really means.
Revisiting OpenAI’s Strange Moves: Why Sora Died
Following Andrew Curran’s analysis, if Mythos is real, then OpenAI’s recent string of strange decisions suddenly makes perfect sense.
The most baffling move from OpenAI was shutting down Sora.
As the video generation model that once shocked the world, why did Sora suddenly fall out of favor? The answer probably lies in the battle between cost and compute.
If Mythos proves that ultra-large-scale training is the only ticket to AGI, then every H100 and GB200 becomes a strategic asset. Every major lab faces compute hunger.
And while video generation is cool, it burns an insane amount of inference compute. In the final sprint to AGI, OpenAI must pour all its compute into models that drive fundamental logic breakthroughs, not worry about whether water splashes look real in a video.
This is OpenAI’s “accelerated escape.” When the leader finds a narrower but more powerful path to a god’s-eye view, it makes sense to drop every piece of dead weight.
Second-Order Effects: Ordinary People Can No Longer Afford Frontier Models
At the same time, Andrew Curran raised a depressing but realistic point: “Frontier intelligence is getting so expensive that most humans cannot afford it.”
For a long time, we have gotten used to the story that AI keeps getting cheaper and API prices keep dropping. But Mythos shatters that illusion.
When model scale crosses a certain threshold, compute, memory, and energy become the things that matter most. This is no longer a problem you can solve with a few lines of Python. This has become a hardcore industrial war about power substations, grid load, and liquid-cooled server racks.
And the eternal winner is Jensen Huang.
No matter who wins the AGI race, NVIDIA is the only house that always wins.
100,000 GB200 units. That is the physical threshold for achieving “human-scale” intelligence. The Vera Rubin architecture doubles memory, which means better energy efficiency.
But at the same time, the “free lunch” is over.
The public will face a harsh reality: because inference costs are sky-high, the “strongest models” of the future will come with extremely strict rate limits and eye-watering subscription fees.
AI class stratification is quietly accelerating.
Startups and the Middle Class Face an Existential Crisis
Alex Finn, founder of Creator Buddy, also posted on X saying that Mythos makes him extremely nervous, because it will blow the wealth gap wide open.
This CEO said that for a long time, Silicon Valley leaders have painted a utopia where compute expansion makes intelligence as cheap as electricity and tap water.
But now, with the Claude Mythos leaks, the truth is getting brutally clear: frontier intelligence is not getting democratized. It is becoming a luxury good.
Look at the current prices: ChatGPT Pro is $250. Claude Max is $200. And the even more premium Mythos is rumored to be available only through extremely expensive API access.
Next, the pricing power of intelligence will become the new wall of class separation.
In the job market, those who use “expensive AI” will crush those who use “cheap AI.”
A middle-class job seeker uses the free or standard version of Claude Sonnet to polish their resume. Their rival, an elite who can pay thousands of dollars per month for Mythos access, uses a supermodel with “2x performance” to do deep industry analysis and write code.
Against Mythos’s logic crush, ordinary people will look helpless.
For entrepreneurs, this “intelligence gap” is even more devastating.
If you and your competitor both have the same brilliant business idea, but you only have Claude Opus while they have Mythos, they will ship products 5x faster. Their product architecture and logical depth will crush you completely.
In the capital-intensive AI era, “intelligence” has become a strategic resource you can buy. This CEO predicts: as OpenAI and Anthropic race toward IPO and revenue, they have every incentive to price their strongest models at the absolute maximum humans can pay.
Once, the middle class could rely on education and expertise to live a decent life. But now, if the middle class loses access to top-tier intelligence, they may become worthless.
This April, when Anthropic lifts the veil on Mythos and OpenAI makes its final response, all the rumors bring us closer to one reality —
Scale is king. And Jensen Huang wins again.
