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Anthropic is refusing to release its latest model because it’s so powerful that it becomes a security threat. @jason makes the case that the AI race is “existential” to national security because of what models like Anthropic’s withheld model, “Mythos,” can do. If bad actors like China get their... show more

This Week in Startups

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23,084 次观看 • 5 个月前 •via X (Twitter)

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Jamieson O'Reilly 的头像

Jamieson O'Reilly5 个月前

@Jason .@Jason Mythos type capabilities are already achievable without Mythos. Look at @tryaether_ai.

This Week in Startups 的头像

This Week in Startups5 个月前

Time is money. Don’t waste either. Go to and get an exclusive $500 cash bonus just for opening an account

randini 的头像

randini5 个月前

@Jason Bad actors? Like who? Those who start bullshit wars and back proxies to accomplish what they're too cowardly to have their own citizens prosecute.

Vanilla Gorilla 的头像

Vanilla Gorilla5 个月前

@Jason We’ll find a way to coexist with China but we’ll never regain freedoms lost in the name of security or safety. Claude is dominating with Opus 4.6. Why release a new model right now? If security is really a concern why not keep under wraps? Smells like marketing

SlowBlade 的头像

SlowBlade5 个月前

@Jason These men are naive children. FBI, CIA? That’s not who you need to worry about. Try unit 8200.

Mateo Hernandez 的头像

Mateo Hernandez5 个月前

@Jason What I have yet to hear in this conversation is the application of the laws around AI, or lack thereof. Currently, Bitcoin and stablecoins have a lot of the attention, but I imagine at some point the government will regulate big tech.

Namenotavilabel 的头像

Namenotavilabel5 个月前

@Jason Are so called backdoors fitted into every computer system @grok ?

FL_Libertarian 的头像

FL_Libertarian5 个月前

@Jason 1. The US gov. does have people inside every major company or at least has a back door into all their systems. 2. China/other countries do the same exact thing, which blows my mind that companies are still willing to hire foreign nationals for any role handling proprietary data.

Sqanden 的头像

Sqanden5 个月前

@Jason Hello

Mateo Hernandez 的头像

Mateo Hernandez5 个月前

@Jason Is it AGI? This new model? If not…then it could be well marketed hype. AGI is a serious threat and if Claude has been first mover with it then we have a major problem. Either way there are concerns here over these new powerful tech evolutions.

Vedant Kabra 🇮🇳 的头像

Vedant Kabra 🇮🇳5 个月前

@Jason Security through obscurity rarely works. If a model is truly dangerous, withholding it doesn't solve the problem, it just delays others from finding the same capabilities. Better approach: release, audit openly, and build defenses collectively.

Gary Phillips 的头像

Gary Phillips5 个月前

@Jason You asked for a skill to turn Reddit complaints into startup ideas — I built it. Clusters threads, scores opportunities (frequency + intensity + willingness to pay), and generates a pitch from the actual user language. Would love your take if you’re open to it.

The Angel Network 的头像

The Angel Network5 个月前

@Jason When the most capable lab in the room voluntarily withholds a model, it tells you something about where the capability curve is heading

Justin Blake 的头像

Justin Blake5 个月前

@Jason I'm super curious to see someone release footage of it working... Seems like this kind of intelligence would make it safer, not more dangerous

相关视频

David Sacks says Anthropic could stop Chinese distillation if they wanted to, but they won't because it slows growth "The way that you know that this whole distillation thing is fake, is because if stopping distillation was their primary objective, Anthropic would push to ban Chinese access to American models, not American access to Chinese models." "They’re the ones in the best position to block it. If industrial scale distillation is a national security threat, they’re the ones who need to stop it, because that is the place where distillation occurs. You have to stop it at the source." "They know that if they KYC their customers, it’ll slow their growth. So instead, what they’re saying is, “Hey, ban our competitors.” If they really think it’s that big a threat, they should use a few points of their 90% gross margins to do that." "It seems to me that this debate is all backwards. The question should be on Anthropic to explain why it’s doing such a bad job, not on the whole American open source ecosystem to be punished for Anthropic’s failure."

David Sacks says Anthropic could stop Chinese distillation if they wanted to, but they won't because it slows growth "The way that you know that this whole distillation thing is fake, is because if stopping distillation was their primary objective, Anthropic would push to ban Chinese access to American models, not American access to Chinese models." "They’re the ones in the best position to block it. If industrial scale distillation is a national security threat, they’re the ones who need to stop it, because that is the place where distillation occurs. You have to stop it at the source." "They know that if they KYC their customers, it’ll slow their growth. So instead, what they’re saying is, “Hey, ban our competitors.” If they really think it’s that big a threat, they should use a few points of their 90% gross margins to do that." "It seems to me that this debate is all backwards. The question should be on Anthropic to explain why it’s doing such a bad job, not on the whole American open source ecosystem to be punished for Anthropic’s failure."

dnap

191,435 次观看 • 2 个月前

$AMZN AWS CEO said Anthropic’s latest models are being trained on Trainium (including Mythos) which Anthropic describes as its most capable model yet. That is notable because Anthropic is limiting Mythos due to cybersecurity risk & high compute costs which says a lot about the kind of model Amazon’s chips are now helping train.

$AMZN AWS CEO said Anthropic’s latest models are being trained on Trainium (including Mythos) which Anthropic describes as its most capable model yet. That is notable because Anthropic is limiting Mythos due to cybersecurity risk & high compute costs which says a lot about the kind of model Amazon’s chips are now helping train.

Shay Boloor

57,746 次观看 • 5 个月前

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.

Milk Road AI

24,356 次观看 • 4 个月前

🚨 ANTHROPIC JUST REVEALED CLAUDE MYTHOS ABILITIES Anthropic just formally announced "Claude Mythos Preview" and launched "Project Glasswing" to deploy it for cybersecurity defense. The models are unlocking completely new, autonomous behaviors. This isn't about slightly better benchmark scores. This is about what the model can do. Here are the direct quotes from Anthropic’s research team (including Dario) on exactly what Mythos is capable of: • Chaining Exploits: "It has the ability to chain together vulnerabilities... this model is able to create exploits out of three, four, sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome." • The Professional Standard: "The model that we're experimenting with is, by and large, as good as a professional human at identifying bugs." • Unprecedented Autonomy: "It's just generally better at pursuing really long-range tasks that are kind of like the tasks that a human security researcher would do throughout the course of an entire day." The Reality Check: Dario Amodei flat out said: "There's a kind of accelerating exponential... Claude Mythos Preview is a particularly big jump along that point." Because this model has become so capable at identifying zero-days, they are restricting its release to top tech partners to try to patch the world's software before these capabilities leak out. The autonomous researcher era has officially arrived. It’s over 💀

🚨 ANTHROPIC JUST REVEALED CLAUDE MYTHOS ABILITIES Anthropic just formally announced "Claude Mythos Preview" and launched "Project Glasswing" to deploy it for cybersecurity defense. The models are unlocking completely new, autonomous behaviors. This isn't about slightly better benchmark scores. This is about what the model can do. Here are the direct quotes from Anthropic’s research team (including Dario) on exactly what Mythos is capable of: • Chaining Exploits: "It has the ability to chain together vulnerabilities... this model is able to create exploits out of three, four, sometimes five vulnerabilities that in sequence give you some kind of very sophisticated end outcome." • The Professional Standard: "The model that we're experimenting with is, by and large, as good as a professional human at identifying bugs." • Unprecedented Autonomy: "It's just generally better at pursuing really long-range tasks that are kind of like the tasks that a human security researcher would do throughout the course of an entire day." The Reality Check: Dario Amodei flat out said: "There's a kind of accelerating exponential... Claude Mythos Preview is a particularly big jump along that point." Because this model has become so capable at identifying zero-days, they are restricting its release to top tech partners to try to patch the world's software before these capabilities leak out. The autonomous researcher era has officially arrived. It’s over 💀

Chris

46,155 次观看 • 5 个月前

SHOCKING 🚨 Mark Carney called Communist China Canada’s “greatest security threat” during the election… Then signed a security memorandum with Beijing and refuses to release it to Canadians. If it’s harmless, release it. What are they hiding?

SHOCKING 🚨 Mark Carney called Communist China Canada’s “greatest security threat” during the election… Then signed a security memorandum with Beijing and refuses to release it to Canadians. If it’s harmless, release it. What are they hiding?

Marc Nixon

11,530 次观看 • 4 个月前

AI giant Anthropic says its new model, Claude Mythos Preview, is so good at coding that it could pose a cybersecurity threat in the wrong hands. The company says it's already found thousands of software vulnerabilities. Cyberattacks can impact critical infrastructure— from healthcare systems to government agencies. The announcement of the model been met with a mix of alarm and optimism— and sparked skepticism in some who question the its full capabilities. CBS News’ Lauren Fichten explains.

AI giant Anthropic says its new model, Claude Mythos Preview, is so good at coding that it could pose a cybersecurity threat in the wrong hands. The company says it's already found thousands of software vulnerabilities. Cyberattacks can impact critical infrastructure— from healthcare systems to government agencies. The announcement of the model been met with a mix of alarm and optimism— and sparked skepticism in some who question the its full capabilities. CBS News’ Lauren Fichten explains.

CBS News

22,643 次观看 • 5 个月前

Jason Calacanis: Anthropic, OpenAI and others are trying to kill OpenClaw Why? Because an open source agent platform is an existential threat to frontier model companies. @jason: “ People are going to say I'm a conspiracy theorist, but the number one goal, I believe, in the large language model, frontier model space, is to kill (OpenClaw). This is a giant movement to stop it, because this is the equivalent of having an open source Android-like player in the market, and that could be incredibly disruptive. Because, I believe, open source is going to win the day on the large language models and take 90% of the token usage, and I think the entire frontier model space could be undercut by open source. And I think they realize that SLMs, the smaller language models that are verticalized now, that will run on desktops and laptops and are even starting to run on the top ones, that is their biggest competitive threat, and I hope it happens.”

Jason Calacanis: Anthropic, OpenAI and others are trying to kill OpenClaw Why? Because an open source agent platform is an existential threat to frontier model companies. @jason: “ People are going to say I'm a conspiracy theorist, but the number one goal, I believe, in the large language model, frontier model space, is to kill (OpenClaw). This is a giant movement to stop it, because this is the equivalent of having an open source Android-like player in the market, and that could be incredibly disruptive. Because, I believe, open source is going to win the day on the large language models and take 90% of the token usage, and I think the entire frontier model space could be undercut by open source. And I think they realize that SLMs, the smaller language models that are verticalized now, that will run on desktops and laptops and are even starting to run on the top ones, that is their biggest competitive threat, and I hope it happens.”

The All-In Podcast

64,677 次观看 • 5 个月前

Only men do not want to agree to that. "I think that the United States needs to be more like China because China is the safest country I have ever been to in my entire life, and it is because of the amount of surveillance that they have. Everybody always likes to talk about how China is so scary because of their surveillance. No, that is literally why it is so safe. That is why I can travel here as a woman by myself. I've been to over 50 countries, and I can confidently say that I feel more safe as a woman because of the security that is in place in this country.”

Only men do not want to agree to that. "I think that the United States needs to be more like China because China is the safest country I have ever been to in my entire life, and it is because of the amount of surveillance that they have. Everybody always likes to talk about how China is so scary because of their surveillance. No, that is literally why it is so safe. That is why I can travel here as a woman by myself. I've been to over 50 countries, and I can confidently say that I feel more safe as a woman because of the security that is in place in this country.”

Johannes Maria

32,868 次观看 • 10 个月前

2 years ago, Anthropic CEO Dario Amodei warned the U.S. Congress: “The scaling of open-source models is going down a very dangerous path…” Today, Kimi K3 is already competing with frontier models. Seeing what this model can do, I think we’re getting closer to open-source models reaching Mythos-level capabilities with little to no guardrails. That’s a pretty scary thought.

2 years ago, Anthropic CEO Dario Amodei warned the U.S. Congress: “The scaling of open-source models is going down a very dangerous path…” Today, Kimi K3 is already competing with frontier models. Seeing what this model can do, I think we’re getting closer to open-source models reaching Mythos-level capabilities with little to no guardrails. That’s a pretty scary thought.

m0h

148,005 次观看 • 2 个月前

Delphi AI researcher Accelxr 👾 explains why restricting frontier AI model access can create its own security risk. “If you’re not a company that gets access to it, you lose the ability to defend yourself against it when it’s released... Now it becomes a race immediately after it is released to harden all the infrastructure.”

Delphi AI researcher Accelxr 👾 explains why restricting frontier AI model access can create its own security risk. “If you’re not a company that gets access to it, you lose the ability to defend yourself against it when it’s released... Now it becomes a race immediately after it is released to harden all the infrastructure.”

Delphi Digital

24,330 次观看 • 19 天前

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

Dwarkesh Patel

1,254,568 次观看 • 5 个月前

$🚨🇨🇳 China could crash the U.S. stock market Not with tariffs With AI MODEL DUMPING The same playbook they used in SOLAR and EVs Make it almost as good Sell it much cheaper Take the market Now they are doing it with AI Open models are getting close to U.S. frontier models But some run at just a fraction of the cost If a company can cut a $100M AI bill to a few million It will switch And that is the real problem OpenAI and Anthropic are not priced like normal companies They are priced like they have unlimited PRICING POWER China is trying to destroy that The AI BUBBLE was never about whether AI works It was about how much companies can charge for it$

🚨🇨🇳 China could crash the U.S. stock market Not with tariffs With AI MODEL DUMPING The same playbook they used in SOLAR and EVs Make it almost as good Sell it much cheaper Take the market Now they are doing it with AI Open models are getting close to U.S. frontier models But some run at just a fraction of the cost If a company can cut a $100M AI bill to a few million It will switch And that is the real problem OpenAI and Anthropic are not priced like normal companies They are priced like they have unlimited PRICING POWER China is trying to destroy that The AI BUBBLE was never about whether AI works It was about how much companies can charge for it

Leshka.eth ⛩

11,737 次观看 • 2 个月前

🚨INTERVIEW: "IF RUSSIA WANTED ALL OF UKRAINE, THEY'D ALREADY HAVE IT—THEIR GOAL IS SECURITY, NOT CONQUEST" Colonel Daniel Davis Deep Dive makes a controversial case: Russia's restraint isn't weakness, it's strategy. If Moscow's goal was total conquest, Ukrainian forces would already be overrun. Instead, Russia's demanding a limited Ukrainian military and no NATO membership - proving their objective is a neutral neighbor, not another invasion down the line. “If their goal was to continue invading Ukraine, they wouldn't need any of this. They would simply march until they get it all, which they can do. Their objective is to have security on their border. They actually mean that - they've meant it from the beginning. So, by Ukraine having a limited number of troops, then they're no longer a threat to that. With no NATO, they're no longer a threat to that.”

🚨INTERVIEW: "IF RUSSIA WANTED ALL OF UKRAINE, THEY'D ALREADY HAVE IT—THEIR GOAL IS SECURITY, NOT CONQUEST" Colonel Daniel Davis Deep Dive makes a controversial case: Russia's restraint isn't weakness, it's strategy. If Moscow's goal was total conquest, Ukrainian forces would already be overrun. Instead, Russia's demanding a limited Ukrainian military and no NATO membership - proving their objective is a neutral neighbor, not another invasion down the line. “If their goal was to continue invading Ukraine, they wouldn't need any of this. They would simply march until they get it all, which they can do. Their objective is to have security on their border. They actually mean that - they've meant it from the beginning. So, by Ukraine having a limited number of troops, then they're no longer a threat to that. With no NATO, they're no longer a threat to that.”

Mario Nawfal

22,251 次观看 • 9 个月前

Vance on Greenland: What we're asking our European friends to do is to take the security of that landmass more seriously, because if they're not, the US is going to have to do something about it.

Vance on Greenland: What we're asking our European friends to do is to take the security of that landmass more seriously, because if they're not, the US is going to have to do something about it.

Acyn

23,591 次观看 • 8 个月前

Anthropic has created an AI model that “can get into almost any software in the world,” former AI company founder and CEO Matt Shumer says — but the company is not releasing it to the public: “I have never seen something like this — a company that is about to IPO and having such a moral compass.” Shumer shares what makes the AI model so powerful and potentially dangerous.

Anthropic has created an AI model that “can get into almost any software in the world,” former AI company founder and CEO Matt Shumer says — but the company is not releasing it to the public: “I have never seen something like this — a company that is about to IPO and having such a moral compass.” Shumer shares what makes the AI model so powerful and potentially dangerous.

CBS Mornings

98,892 次观看 • 5 个月前

Prince Harry and Meghan Markle DO NOT NEED taxpayer-funded security in the UK. And let’s clear up another ridiculous claim: Harry has NOT been “denied security,” despite what some people are screaming around like headless chickens. Under the bespoke arrangements put in place after Harry stepped back, requests for protective police security are made on a case-by-case basis, with 28-30 days’ notice, so the authorities can assess the circumstances and threat before deciding what protection, if any, is appropriate. He also has his own privately funded security. What he does NOT have is an automatic entitlement to a taxpayer-funded police protection detail simply because he is Prince Harry. There is a difference between being denied security and being denied the level of taxpayer-funded protection you demand. And for everyone repeating, “But Harry said he’ll pay for it” - that is not how police protection works. Police protection is NOT a private service that a wealthy individual can simply purchase because they are willing to write a cheque. Police resources are limited and are allocated according to threat, risk and public interest. Harry also seems to think being a prince entitles him to the sort of highly visible police protection associated with the King and the heir. It doesn’t. Even other members of the Royal Family do not automatically receive that level of protection simply because they are royal. Harry and Meghan already have private security. What they appear to want is the added status, visibility and resources that come with a police escort. And frankly, if this is supposedly all about an overwhelming security threat, why are their movements constantly being briefed to the media? Why does everyone need to know where they are going and when they are going there? You cannot spend your time telling the world about your movements and then demand that the taxpayer provide an extraordinary level of protection because you are supposedly at extraordinary risk. You don’t get to have the perks of the Crown without the duty to the Crown.

Prince Harry and Meghan Markle DO NOT NEED taxpayer-funded security in the UK. And let’s clear up another ridiculous claim: Harry has NOT been “denied security,” despite what some people are screaming around like headless chickens. Under the bespoke arrangements put in place after Harry stepped back, requests for protective police security are made on a case-by-case basis, with 28-30 days’ notice, so the authorities can assess the circumstances and threat before deciding what protection, if any, is appropriate. He also has his own privately funded security. What he does NOT have is an automatic entitlement to a taxpayer-funded police protection detail simply because he is Prince Harry. There is a difference between being denied security and being denied the level of taxpayer-funded protection you demand. And for everyone repeating, “But Harry said he’ll pay for it” - that is not how police protection works. Police protection is NOT a private service that a wealthy individual can simply purchase because they are willing to write a cheque. Police resources are limited and are allocated according to threat, risk and public interest. Harry also seems to think being a prince entitles him to the sort of highly visible police protection associated with the King and the heir. It doesn’t. Even other members of the Royal Family do not automatically receive that level of protection simply because they are royal. Harry and Meghan already have private security. What they appear to want is the added status, visibility and resources that come with a police escort. And frankly, if this is supposedly all about an overwhelming security threat, why are their movements constantly being briefed to the media? Why does everyone need to know where they are going and when they are going there? You cannot spend your time telling the world about your movements and then demand that the taxpayer provide an extraordinary level of protection because you are supposedly at extraordinary risk. You don’t get to have the perks of the Crown without the duty to the Crown.

Queen Esther

28,213 次观看 • 27 天前

Dario Amodei keeps warning that open-source AI models are dangerous and need to be restricted. David Sacks David Sacks answered with a rhetorical question: "Dangerous to whom?" It was the sharpest thing said on the latest All-In The All-In Podcast. Not dangerous to the enterprise that wants to keep control of its own data. Open weights are what finally give that enterprise a choice. It is dangerous to Anthropic's business model. That model only works if customers have no real alternative at the model layer. So the safety argument starts to look like a moat argument wearing a lab coat. Line it up with the rest of the strategy. Dominate the layer everyone builds on. Launch Claude into science, security, legal, finance, and design, the verticals your own customers used to own. And campaign to restrict the open models that would hand those customers the exit. Here is the giveaway. When the person selling you safety also needs you to have no other option, you are not who is being kept safe.

Dario Amodei keeps warning that open-source AI models are dangerous and need to be restricted. David Sacks David Sacks answered with a rhetorical question: "Dangerous to whom?" It was the sharpest thing said on the latest All-In The All-In Podcast. Not dangerous to the enterprise that wants to keep control of its own data. Open weights are what finally give that enterprise a choice. It is dangerous to Anthropic's business model. That model only works if customers have no real alternative at the model layer. So the safety argument starts to look like a moat argument wearing a lab coat. Line it up with the rest of the strategy. Dominate the layer everyone builds on. Launch Claude into science, security, legal, finance, and design, the verticals your own customers used to own. And campaign to restrict the open models that would hand those customers the exit. Here is the giveaway. When the person selling you safety also needs you to have no other option, you are not who is being kept safe.

Fireside Alpha

10,037 次观看 • 2 个月前

ANTHROPIC'S NEW AI MODEL "MYTHOS" IS SO POWERFUL THE COMPANY WON'T RELEASE IT TO THE PUBLIC YET Instead, they're giving it to 11 companies first through "Project Glasswing" to find cybersecurity vulnerabilities before bad actors can. The partners: Amazon, Apple, Broadcom, Nvidia, Google, and others. The model wasn't built for cybersecurity. It was built to be an automated AI researcher, an AI that helps build better AI. But those same capabilities make it a serious tool for both offensive and defensive cyber operations. OpenAI reportedly has a similar model codenamed "SPU" going through the same slow rollout process. Palisade Research: "Anthropic is a little ahead, but not overwhelmingly ahead. They don't necessarily have a permanent moat here."

ANTHROPIC'S NEW AI MODEL "MYTHOS" IS SO POWERFUL THE COMPANY WON'T RELEASE IT TO THE PUBLIC YET Instead, they're giving it to 11 companies first through "Project Glasswing" to find cybersecurity vulnerabilities before bad actors can. The partners: Amazon, Apple, Broadcom, Nvidia, Google, and others. The model wasn't built for cybersecurity. It was built to be an automated AI researcher, an AI that helps build better AI. But those same capabilities make it a serious tool for both offensive and defensive cyber operations. OpenAI reportedly has a similar model codenamed "SPU" going through the same slow rollout process. Palisade Research: "Anthropic is a little ahead, but not overwhelmingly ahead. They don't necessarily have a permanent moat here."

WOLF

80,239 次观看 • 5 个月前

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself.” Meanwhile, Anthropic says every new model is given code that trains a small AI model and asked to make it faster. Claude Opus 4 achieved a 3x speedup. Mythos Preview reached 52x. Recursive self-improvement is starting to look real The models are helping build what comes next.

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself.” Meanwhile, Anthropic says every new model is given code that trains a small AI model and asked to make it faster. Claude Opus 4 achieved a 3x speedup. Mythos Preview reached 52x. Recursive self-improvement is starting to look real The models are helping build what comes next.

CG

343,625 次观看 • 3 个月前