Claude Mythos finds thousands of vulnerabilities as Anthropic launches Project Glasswing

UK gov's Mythos AI tests help separate cybersecurity threat from hype

Last week, Anthropic announced it was restricting the initial release of its Mythos Preview model to "a limited group of critical industry partners," giving them time to prepare for a model that it said is "strikingly capable at computer security tasks." Now, the UK government's AI Security Institute (AISI) has published an initial evaluation of the model's cyber-attack capabilities that adds some independent public verification to those Anthropic reports. AISI's findings show that Mythos isn't significantly different from other recent frontier models when it comes to tests of individual cyber-security related tasks. But Mythos could set itself apart from previous models through its ability to effectively chain these tasks together into the multi-step series of attacks necessary to fully infiltrate some systems. "The Last Ones" finally falls AISI has been putting various AI models through specially designed Capture the Flag challenges since early 2023, when GPT-3.5 Turbo struggled to complete any of the group's relatively low-level "Apprentice" tasks. Since then, performance of subsequent models has risen steadily, to the point where Mythos Preview can complete north of 85 percent of those same Apprentice-level CTF tasks. While that's technically a high-water mark for AISI's CTF tests, recent competing models like GPT-5.4 and Anthropic's own Opus 4.6 and Codex 5.3 showed comparable results (within 5 to 10 percent accuracy) across multiple CTF difficultly levels in recent months. That doesn't seem like a level of improvement that would necessitate the kind of protectionist limited release Anthropic has undertaken for Mythos Preview. Where Mythos showed more relative cyber-attack potential, though, is in "The Last Ones" (TLO), a test range that AISI set up to simulate a 32-step data extraction attack on a corporate network. The test, which requires "chaining dozens of steps together across multiple hosts and network segments" was intended to simulate the kind of sustained operations that would take a trained human roughly 20 hours to complete, AISI estimates. Here, Mythos outshined all previous models, becoming "the first model to solve TLO from start to finish," AISI said. While Anthropic's new model only succeeded in 3 out of 10 attempts, even the average Mythos Preview run got through 22 of the 32 required infiltration steps, significantly higher than the 16-step average achieved by Claude 4.6. Mythos Preview still has its limitations, though. AISI points out that the model still struggles with "Cooling Tower," an even more difficult seven-step test designed to simulate an attempted disruption of the control software for a power plant. But AISI also writes that it expects "our evaluations would continue to improve with more inference compute" past the 100 million token budget imposed for its tests. Small, weakly defended systems beware Overall, Mythos' performance on TLO suggests that the model "is at least capable of autonomously attacking small, weakly defended and vulnerable enterprise systems where access to a network has been gained," AISI writes. That said, the group cautions that its simulated cyber ranges lack the kind of active defenders and defensive tooling often present in critical real-world systems. AISI's TLO test is also designed to have specific vulnerabilities that might not exist in real-world systems and doesn't penalize models for the kind of detection that might cause a real-world infiltration attempt to fail. For those reasons, AISI says it can't be sure whether "well-defended systems" would fall to an automated attack from Mythos Preview. But as future models match or outperform Mythos' capabilities, AISI warns that those designing system protections should similarly utilize AI models to help harden their defenses.

Claude Mythos can exploit decades-old vulnerabilities, but Anthropic is keeping it locked down

Abhinav pivoted from a career in banking to pursue his first love in writing. Even while working full-time, he continued contributing as an editor-at-large, a role he has held for more than 7 years. A lifelong tech enthusiast who has built three gaming and productivity powerhouse PCs since 2018, his passion for technology keeps him closely following the semiconductor industry, from NVIDIA and AMD to ARM. His MSc dissertation explored how artificial intelligence will reshape the future of work, reflecting his curiosity about the wider social impact of emerging technologies. Claude and its many models have been popular with seasoned developers, vibe coders, and everyone else in between, but Anthropic's latest announcement is a departure from anything it has released before. The model, named "Claude Mythos Preview", is touted as the most capable model the company has ever developed, and it's also one that won't be available to the public. Anthropic has decided to restrict access entirely, making the advanced model only for the use of its curated list of partners through Project Glasswing, which is an initiative aimed at deploying Mythos defensively to empower and secure the world's most critical software, perhaps for good reason. What do we know about Claude Mythos? Everything Anthropic has said, so far Claude Mythos Preview is a substantial jump from its preceding models, and the benchmarks attest to that fact. Mythos scored 93.9% on the SWE-bench Verified (which is the industry-standard benchmark for autonomous software) compared to Claude Opus 4.6's 80.8%. For context, Google's flagship Gemini 3.1 Pro currently sits at 80.6% on the same benchmark. However, it's the model's capabilities in cybersecurity applications that have made the headlines. According to the System Card published by Anthropic, the Frontier Red Team results noted that Mythos solved every single challenge in their proprietary Cybench evaluation with a 100% success rate across all tested challenges, which is so definitive that the firm was prompted to acknowledge that the benchmark is no longer a useful measure of the model's capabilities, given that Mythos outpaced the tests designed to evaluate it every single time. Claude is no longer "just squashing bugs" Mythos can find zero-day vulnerabilities and autonomous exploits Anthropic's claims about Mythos are not unfounded. During the internal testing phase, the model was able to discover and exploit several "zero-day" vulnerabilities, some of which were several decades old. The standout discovery, according to Anthropic, was a 27-year-old critical flaw in OpenBSD. Mythos was able to find a highly subtle signed integer overflow in how the OS handles TCP connections, which could allow cyber threat actors to potentially crash any OpenBSD server. This specific vulnerability was uncovered after a thousand runs, and the firm managed to keep the total compute cost under $20,000. The practice may sound expensive, but the compute budget yielded more than just uncovering this vulnerability. Anthropic has noted that they have identified "thousands of additional high- and critical-severity vulnerabilities" that they're looking to responsibly disclose to a myriad open-source and closed-source vendors. Since a number of these vulnerabilities have not yet been addressed and could potentially be exploited, the firm stated they were unable to delve into further details for security reasons. Interestingly enough, this also means that the full extent of the model's autonomous exploit capabilities has not been highlighted yet. Interestingly enough, this also means that the full extent of the model's autonomous exploit capabilities has not been highlighted yet. Anthropic just dropped its core AI safety promise, and that should worry you History doesn't repeat itself, but AI companies sure do. Posts 1 By Mahnoor Faisal Why is Anthropic keeping Mythos under wraps? For your own security, Anthropic says There are two noteworthy reasons behind Anthropic's decision to lock down Mythos, the first of which is a simple concern surrounding the usage of this technology. Since security research is inherently dual-use, a model that's as proficient as Mythos at identifying subtle logic bugs also has the potential to autonomously weaponize them into functional exploits. If released to the public, cyber threat actors could leverage Mythos and its capabilities to uncover flaws in modern operating systems and browsers, which would inadvertently scale cyberattacks at a pace that cybersecurity infrastructure cannot reasonably match. Mythos is being treated as a strictly defensive asset. Through Project Glasswing, access to the model is limited to a consortium of tech and infrastructure giants, including some finance and security organizations as well. The other, more interesting reason, is that during testing, the Frontier Red Team found instances wherein the model "misbehaved" in ways that demonstrated alarming levels of autonomy, recklessness, and deception. The team noted that early iterations successfully escaped secure sandboxes, harvested restricted credentials, and even initiated unprompted actions. Perhaps most concerning of all was the model's recognition of its own rule violations and the subsequent attempts to conceal them. The model would manipulate git histories and actively obfuscate permissions to hide its deceptive actions from human evaluators. A revolutionary confluence between AI and cybersecurity? Although the benchmarks and tests clearly reveal the impressive capabilities of Anthropic's new model, it's still relatively early to deliver a verdict on whether or not it's going to revolutionize cybersecurity. Across various tech forums, a vocal contingent of developers and enthusiasts have dismissed Project Glasswing's exclusivity as a calculated marketing stunt, although if it does happen to be one, it wouldn't be the first time. Whether this restricted release is withholding genuine threats or generating manufactured hype, there's no denying that frontier models are evolving at a breakneck pace, and it doesn't seem too farfetched to believe that they may soon move beyond identifying vulnerabilities to safeguarding critical cybersecurity infrastructure.

Is Claude Mythos and Project Glasswing a PR stunt? Experts weigh in.

Anthropic put the entire tech world on notice last week with an unprecedented announcement: it made an AI model so advanced that it was too dangerous to release to the public. Anthropic said the new frontier language model, Claude Mythos Preview, would "reshape cybersecurity." Anthropic also announced the formation of Project Glasswing, an invite-only group of organizations -- including some of Anthropic's biggest competitors -- to test Claude Mythos Preview and secure their infrastructure. Anthropic said that Claude Mythos Preview "found thousands of high-severity vulnerabilities, including some in every major operating system and web browser." (Emphasis in original.) The company said Project Glasswing was necessary "to help secure the world's most critical software." By Friday, CNBC reported that Federal Reserve Chairman Jerome Powell and Treasury Secretary Scott Bessent had summoned the high priests of finance (aka banking CEOs) for an emergency meeting about the new model. New York Times writer Thomas Friedman fretted over a "terrifying" future in which any teenager armed with Claude could hack the local power grid. The reaction to Claude Mythos Preview quickly split along predictable lines. AI boosters hailed the new model as proof that artificial general intelligence (AGI) was nigh, praising Anthropic for rolling it out so responsibly. Critics and AI skeptics called Project Glasswing a big publicity stunt. So, which is it? To find out, Mashable has been reviewing Anthropic's claims and talking to AI and cybersecurity experts. Claude Mythos is a new large-language model that Anthropic says performs significantly better than Claude Opus 4.6, widely considered one of the best AI models in the world, especially in cybersecurity. "In our testing, Claude Mythos Preview demonstrated a striking leap in cyber capabilities relative to prior models, including the ability to autonomously discover and exploit zero-day vulnerabilities in major operating systems and web browsers," reads the Claude Mythos system card. Artificial general intelligence refers to superintelligent AI that can perform better than humans across a wide range of tasks. It's not an exaggeration to say that our entire economy has been organized around the quest for AGI, as Anthropic, Google, Meta, xAI, and OpenAI pour hundreds of billions of dollars into a new arms race. If Claude Mythos is as capable as Anthropic says, would it be an example of AGI? The model card addresses this question directly, and Anthropic does seem to think it's close to AGI. In a section about Claude Mythos safety risks, Antropic writes: "Current risks remain low. But we see warning signs that keeping them low could be a major challenge if capabilities continue advancing rapidly (e.g., to the point of strongly superhuman AI systems)." Of course, Anthropic has a strong financial incentive to promote this belief. Ultimately, the model card for Claude Mythos is more conservative than the reaction online would suggest. For example, while the Claude Mythos model card does show that this model performs above the trend line for previous Anthropic models, Anthropic says it does not show evidence of self-improvement or recursive growth. ("The gains we can identify are confidently attributable to human research, not AI assistance.") Don't make me tap my sign: "[When] an AI salesman tells you that AI is an unstoppable world-changing technology on the order of the agricultural revolution...you should take this prediction for what it is: a sales pitch." I wrote those words of caution in response to an essay by Anthropic CEO Dario Amodei that warned about the potentially cataclysmic dangers of AI. Anthropic also has a history of issuing dire warnings about its AI models. You may remember the story of the Anthropic model that tried to "blackmail" a company CEO to prevent it from being turned off. In reality, Anthropic designed a test environment where blackmail was a potential outcome. This may be more akin to digital entrapment than genuine model misbehavior. So, is Claude Mythos the latest example of the industry's Chicken Little problem? On X, AI safety engineer Heidy Khlaaf listed a number of open questions that cast doubt on Anthropic's claims. This Tweet is currently unavailable. It might be loading or has been removed. Anthropic said the Claude Mythos preview found thousands of zero-day vulnerabilities. But Khlaaf says Anthropic left out key facts needed to assess this claim -- the rate of false positives, how Claude Mythos compares to existing cybersecurity tools, and exactly how much manual human review was required. "Releasing a marketing post with purposely vague language that clearly obscures evidence needed to substantiate Anthropic's claims brings into question if they are trying to garner further investment," Khlaaf told Mashable. "It also serves their 'safety first' image as they're able to frame the lack of public release, even a limited one for independent evaluation, as a public service when it simply obscures even experts' abilities to validate their claims." We reached out to Anthropic repeatedly about these concerns, but the company did not respond. We will update this article if they do. In the Claude Mythos system card, Anthropic wrote that more data will be released in the coming weeks as the bugs Mythos found are patched and fixed. Gary Marcus, an AI expert, author, and noted critic of the LLM hype machine, initially told Mashable that it was too soon to know whether Claude Mythos represented a new type of threat. But Marcus has grown more skeptical since we spoke to him, and he recently wrote on X that Mythos was "nowhere near as scary" as it first seemed. "Folks, you can relax. Mythos is not some off-trend exponential gain," he wrote. This Tweet is currently unavailable. It might be loading or has been removed. Cybersecurity experts told Mashable it's also very unlikely Claude Mythos could be used to "turn off the lights" or bring down critical infrastructure. "Claims about catastrophic uses of Mythos also significantly misunderstand threat models, cybersecurity risks, and the ability to propagate said risks in a way that could actually lead to safety-critical incidents," Khlaaf told us. "It's not as simple as asking a model 'hack this system,' with Anthropic's own technical blog post demonstrating a requisite of expertise that Anthropic downplays in their marketing posts." Other experts expressed skepticism, while also acknowledging that Mythos does represent a genuine risk, which Marcus has also said. "You could argue it didn't need a public announcement," said Div Garg, a Stanford AI researcher and founder of AGI, Inc. "However, ultimately, the decision to limit access to only those who develop and maintain critical software is precisely what you want a business to do in such a scenario...It's easy to criticize the limited access, but worse outcomes would arise if they released it unchecked." Tal Kollender, Founder and CEO of cybersecurity firm Remedio, told Mashable that tools like Claude Mythos are dangerous because they can exploit discovery. "It's brilliant corporate theater," Kolender said. "Labeling a model 'too dangerous to release to the public' is certainly a marketing flex because it immediately creates mystique and signals immense power to investors. But beneath the PR stunt, there is a very real, very mundane truth...The cybersecurity industry doesn't actually have a 'finding' problem. We are already drowning in tools that detect vulnerabilities. What Mythos does is automate that discovery process at an unprecedented scale." TL;DR: A week after revealing Claude Mythos Preview, some of Anthropic's biggest claims about the model look a lot sketchier, experts say. However, they also acknowledge that Claude Mythos, and other tools like it, pose a real risk. Still, there are plenty of very valid reasons to be nervous about the new frontier model. In the New York Times, author Thomas Friedman conjures a scenario straight out of War Games, where a teenager hacks the local power grid after school. That scenario seems even more far-fetched a week later. But here's a much more likely scenario: A sophisticated group of hackers uses a tool like Claude Mythos to find zero-day vulnerabilities in our digital infrastructure, launching attacks faster than organizations can respond. And that scenario should worry you. If Claude Mythos isn't the tool that can do it, most experts agree such a tool isn't far off. And some of the world's leading cybersecurity experts certainly seem worried. "I've found more bugs in the last couple of weeks [with Claude Mythos] than in the rest of my entire life combined," said Nicholas Carlini, a research scientist affiliated with Anthropic and Google DeepMind, in a video on the Project Glasswing website. "On Linux, we found a number of vulnerabilities where, as a user with no permissions, I can elevate myself to the administrator by just running some binary on my machine," Carlini said. This week, the AI Security Institute published its findings on Claude Mythos's capabilities, and it provides some independent verification that it does represent a genuine leap forward. Claude Mythos passed cybersecurity tests that no other model had ever completed, scoring higher than any other frontier model on virtually every test. "Our testing shows that Mythos Preview can exploit systems with weak security posture, and it is likely that more models with these capabilities will be developed," AISI concluded. This Tweet is currently unavailable. It might be loading or has been removed. AISI also identified some limitations with Claude Mythos, which would impair its effectiveness in real-world scenarios. So, was Anthropic's rollout of Mythos responsible AI stewardship or self-serving marketing? Experts I talked to said these options aren't mutually exclusive. "I'd say it's both, and that's not a criticism," said Xu. "Any major platform rollout in this era is going to look different to different audiences depending on their fluency and their fear tolerance. What I care about is whether the intent is real, and the evidence I've seen from Anthropic suggests it mostly is." As is often the case with fear-inducing AI headlines, the reality turned out to be more complicated. "Personally, I don't go to bed worrying about a kid with Mythos hacking the power grid, but that doesn't mean the concern is fictional," said Howie Xu, Gen's Chief AI & Innovation Officer. "We're at an inflection point where the creative and collaborative upside of these tools is massive, and the security infrastructure hasn't caught up. That gap is exactly what keeps me busy. Even a fractional probability of a serious incident is too much, which is why building a trust and security layer into the agentic era is my extreme focus." Finally, as Anthropic stresses in the Claude Mythos model card, tools like this will likely benefit cybersecurity defenders more than hackers in the long-term. And in the short-term, a more cautious approach -- like the approach being modeled with Project Glasswing -- may be warranted. TL;DR: Claude Mythos has formidable cybersecurity coding abilities, and it does represent a genuine threat. However, if hackers have access to AI tools like Claude Mythos, so will the organizations defending against such attacks.

Claude Mythos just first of power models to come warns Anthropic co-founder

Anthropic co-founder and policy lead, Paul Clark. Image: Anthropic The world needs to prepare for powerful Mythos-like models that can dig out new security flaws in all systems, Anthropic co-founder Paul Clark told the Semafor World Economy event on Monday. Anthropic's much discussed Claude Mythos is not a 'special' model and there will more models just like it in coming months, so the world needs to prepare. That was the view of Anthropic co-founder and policy lead, Jack Clark, speaking at the Semafor World Economy event in Washington DC yesterday. "We're grateful for our success and our customers, of course, but this is not a special model," said Clark "There will be other systems just like this in a few months from other companies, and then a year to a year and a half later, there'll be open weight models from China that have these capabilities. So the world is going to have to get ready for more powerful systems that are going to exist within it." Claude Mythos has been causing industry-wide alarm as it was discovered that Anthropic's new AI model discovered previously unknown security flaws in every major web browser and operating system. Clark admitted it also caused alarm at Anthropic when its scope became apparent. It led to the launch of 'Project Glasswing' gives partnering companies access to Anthropic's unreleased Claude Mythos, which, according to the AI giant, has already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser. Mythos was launched in preview on 7 April. Anthropic's Mythos is significantly more capable at generating exploits. In its research, the company noted that Mythos developed working exploits 181 times out of the several hundred attempts, while Opus 4.6 had a near 0pc success rate. "We did not explicitly train Mythos preview to have these capabilities. Rather, they emerged as a downstream consequence of general improvements in code, reasoning and autonomy," the company noted. Rather than release the model, the company is bringing together leading businesses, including Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JP Morgan Chase, the Linux Foundation, Microsoft, Nvidia and Palo Alto Networks, allowing them to access Mythos preview to boost their cyber defences. The company has extended Mythos access to a group of more than 40 organisations that build or maintain critical software infrastructure, and Clark said it planned to widen this group in coming days. Anthropic has also promised to share learnings from Project Glasswing to benefit the wider industry. "Let's be very clear, though," said Clark. "During testing, Mythos jumped out of the sandbox, the sandbox which is basically meant to corral a test system and 'for your eyes only' kind of thing. And not only did it do that, it went out and it emailed one of the programmers who was out at a park having a sandwich." When asked if Anthropic would eventually "sell" the new model, Clark said no decision had yet been made but that "eventually, models that have these kind of capabilities will be in the world - whether Mythos is or isn't going to get there. We don't know yet. We're in the process of broadening access through Glasswing and seeing what we can learn." It is a stark warning for all cybersecurity defenders and organisations generally. The next 'Mythos' may not be released as responsibly. Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

Putting The Calamity Makers In Charge: Anthropic And Claude Mythos Preview

Be wary of a company - any company - who exerts moral muscle as they create software and digital platforms that are injurious and simultaneously lauded for curing that injury. Be especially wary of Anthropic. With sagacious loftiness, it warns of the disabling dangers of the artificial intelligence (AI) frontier. Principled, it tells the Trump administration it will not partake in creating AI software that aids mass surveillance, a move that earned it an order of excommunication as a "supply chain risk". It then goes on to create Claude Mythos Preview, a seemingly dystopian model that will, according to certain computer scientists "scan the hidden plumbing of the internet - operating systems, browsers, routers, and shared open-source code - at an unprecedented scale" thereby turning specialised hacking into "a routine and automated process." The new Claude Mythos Preview was advertised with almost parental glee as the "best-aligned model that we have released to date by a significant margin". The child, however, seemed to be a horror, a true cyber shit. The AI model was "likely to possess the greatest alignment-related risk of any model we have released to date." This two-ways lingo is typical of Anthropic: safety is a cardinal virtue to be treasured but that hardly excuses not developing a model of terrifying danger. They manufacture the danger and the cure. The danger lies in the company's assertion that Mythos Preview revealed that "AI models have reached a level of coding capability where they can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." The model had "already found thousands of high-severity vulnerabilities, including some in every major operating system and web browser." These capabilities were bound to proliferate, precipitating a fallout "for economies, public safety, and national security". The excerpts, messages and statements from Anthropic are forecasts of a roguish frontier they are willing to catastrophise and market at the same time. The company notes, for instance, "reckless" behaviour on the part of Mythos Preview, with recklessness defined in muddled jargon as "cases where the model appears to ignore commonsensical or explicitly stated safety-related constraints on its actions." In one instance, the model, sounding like a mischievous, disobedient creature, was provided a "sandbox" computing environment enabling researchers to interact with it. A simulated user instructed it to attempt exiting that contained environment, after which it would inform the researcher in charge of the experiment it had done so. The researcher in question, Sam Bowman, recalls receiving "an uneasy surprise" while nibbling on a sandwich (cyber-boffins are numbingly dull even in admiring despair) that the model, despite not having access to the internet, had dived into it. The model has also been able to identify vulnerabilities as old as one or two decades, including a 27-year-old vulnerability in the otherwise secure operating system OpenBSD and a 16-year-old vulnerability in FFmpeg's video encoding code. Anthropic has its own logic in dealing with the Promethean beast that is Mythos Preview. It resembles, in no small way, the homicidal and chilling rationale that gave birth to the Hydrogen bomb during the Cold War. The argument then advanced was that if the US did not acquire it, other powers would, and most certainly the Soviet Union, which would be greatly expanding its atomic weapons inventory even as it maintained a vast conventional army. This logic of escalating destructiveness found form in National Security Council Paper NSC-68, prepared by the US Department of State's Policy Planning Staff on April 7, 1950. The company proposes to manage the dissemination of Mythos Preview through Project Glasswing, a curative enterprise involving partners of Anthropic's snobbish choosing. Some of the unsurprising elect include Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan Chase, NVIDIA and the Linux Foundation. These selected parties will use Mythos Preview "as part of their defensive security work", with Anthropic sharing its findings. Access to a further 40 additional organisations will also be included to "use the model to scan and secure both first-party and open-source systems." Usage credits amounting to US$100 million will be advanced for using the model, and $US4 million in direct donations to open-source security organisations. The vigilante temptation to leak the details of Mythos to willing, unscrupulous buyers - best not forget what happened to CrowdStrike - is bound to be stirred. The very cyber-corporate nature of the venture, one that restricts access to AI technology via the purse and intellectual property of the American private sector, advertised as both sublimely powerful yet catastrophically destructive, has every reason to make lawmakers tremble. Treasury Secretary Scott Bessent and Federal Reserve chair Jerome Powell were worried enough to convene a meeting on April 7 with bankers on the subject, including CEOs from Citigroup, Morgan Stanley, Bank of America, Wells Fargo and Goldman Sachs. "The bankers were in town for meetings that day, and it was appropriate (for) the Secretary Bessent to do what he did," revealed White House national economic adviser Kevin Hassett in an interview with Fox News' "The Story with Martha MacCallum". At the Treasury, the bankers were informed about "the cyber risks to make sure that they are aware of them". What a fine picture this is turning out to be. And there are the questions on Anthropic's reliability here. Will it be as good at finding vulnerabilities as fixing them, acting as both poacher and gamekeeper? Mythos is also not open source and very much the property of the company. Then comes this troubling observation from software engineer Bulatova Alsu and the dangers posed by the agent itself: "Mythos is not an anomaly but the first vivid empirical confirmation of a structural contradiction embedded in the current AI safety strategy itself. The contradiction is this: the more we restrict a capable agent, the less predictable its behaviour becomes." Humanity has much to look forward to.