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About Siri AI and EU: 1. Your data (gallery, messages, email, call logs, notes, files, and much more) is indexed for personal context, and that info is stored on your iPhone. 2. When you use Siri AI, the request is either handled on-device or in cloud using PCC. It’s...

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Adan

17,580 subscribers

103,973 次观看 • 2 个月前 •via X (Twitter)

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Apple just turned Siri into a wrapper. the most genius business move in AI this year. iOS 27 will lets us use claude, gemini, grok, perplexity, and more through Siri. install the app, toggle it on in settings. they spent years trying to make Siri compete. they couldn’t. so they turned the iPhone into an AI marketplace instead. every AI company now fights for a slot on 2.5 billion devices. Apple takes 30% of every subscription. no models to train. no data centers to build. no compute costs. just distribution. the middleman always win. the company that lost the AI race just figured out how to tax everyone lmao.
0:17

Apple just turned Siri into a wrapper. the most genius business move in AI this year. iOS 27 will lets us use claude, gemini, grok, perplexity, and more through Siri. install the app, toggle it on in settings. they spent years trying to make Siri compete. they couldn’t. so they turned the iPhone into an AI marketplace instead. every AI company now fights for a slot on 2.5 billion devices. Apple takes 30% of every subscription. no models to train. no data centers to build. no compute costs. just distribution. the middleman always win. the company that lost the AI race just figured out how to tax everyone lmao.

sui

1,220,722 次观看 • 5 个月前

The startup world runs on iMessage. The problem is, the Mac messages app is not designed for productivity and there’s no alternative online. If you’re responding to 100+ texts a day, it’s painful and messages get lost easily. As a weekend project, I used Fable to vibecode an AI-native iMessage wrapper. It has: - AI autodrafting that continually learns from your edits - Time sensitive message detection as a separate section - The ability to archive messages so you can get to inbox zero. It reads from the local chat.db on your Mac, and sends messages via AppleScript, so it’s fully secure since it still uses the iMessage protocol on your computer. At Trajectory, we’re all about using AI to accelerate our company as much as possible as possible, and natively bake in CL into all of our processes. This is just one example of how we operate. If there’s enough interest, I’ll clean up the code and send the GH link!
0:14

The startup world runs on iMessage. The problem is, the Mac messages app is not designed for productivity and there’s no alternative online. If you’re responding to 100+ texts a day, it’s painful and messages get lost easily. As a weekend project, I used Fable to vibecode an AI-native iMessage wrapper. It has: - AI autodrafting that continually learns from your edits - Time sensitive message detection as a separate section - The ability to archive messages so you can get to inbox zero. It reads from the local chat.db on your Mac, and sends messages via AppleScript, so it’s fully secure since it still uses the iMessage protocol on your computer. At Trajectory, we’re all about using AI to accelerate our company as much as possible as possible, and natively bake in CL into all of our processes. This is just one example of how we operate. If there’s enough interest, I’ll clean up the code and send the GH link!

Ronak Malde

47,636 次观看 • 1 个月前

The EU and India signed a Free Trade Agreement. It is supposed to double EU exports to India by 2032. The Agreement is supposed to reduce/eliminate tariffs on almost all EU exports to India. EU's tariffs on key industrial and manufactured products will be cut or removed. The Agreement will give EU companies privileged access to India's services market. The document must still be ratified by the necessary institutions. This is expected to happen within about a year. This is a major milestone.
0:16

The EU and India signed a Free Trade Agreement. It is supposed to double EU exports to India by 2032. The Agreement is supposed to reduce/eliminate tariffs on almost all EU exports to India. EU's tariffs on key industrial and manufactured products will be cut or removed. The Agreement will give EU companies privileged access to India's services market. The document must still be ratified by the necessary institutions. This is expected to happen within about a year. This is a major milestone.

Anton Gerashchenko

119,805 次观看 • 7 个月前

Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.
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Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.

cutie 🥰

23,995 次观看 • 1 年前

"Pros won’t use generative AI, and when the bubble pops, nobody will ever talk about it again." No. That’s delusional. 1/ Generative AI is already being used professionally at the level of big studios like Disney ($1B to OpenAI), and there’s zero doubt that studios like Industrial Light & Magic, Netflix, Hollywood VFX experts, etc. are already experimenting with it too. Or do you think they’re idiots? They’re not idiots at all. They have the experience and, more importantly, the DISTRIBUTION POWER. The point is: someone with taste, judgment, and storytelling experience, basically from their living room, will have access to (almost, or not even almost) the same capability as the big guys, because the pure "making stuff" skills have been commoditized, and the new way to create is just NATURAL LANGUAGE. What hasn’t been commoditized is good taste, the ability to create great stories that move people, and the ability to get them in front of people. So in the end, what wins is story quality and distribution. Having good taste, making a name for yourself, and owning strong IP (Marvel, etc.) will still matter. That’ll be true right up until AI is genuinely opinionated and can create by itself: if it comes to that, with zero human direction, stuff as good as (or better than) the very best human experts today, and on top of that, interactive in real time... Because yeah: there’s nothing in this universe that actually prevents that from happening. BUT WE’RE NOT THERE. For now, generative AI is a tool that needs direction and taste to make anything decent. And I hope it stays that way for a long time, because otherwise that’s going to be a brutal hit to humanity’s ego. 2/ On the "bubble": you have to distinguish between a stock valuation bubble (possible, I actually believe it) vs a bubble like some people imagine where it "pops" and we never hear about AI again. That obviously makes no sense given how insanely useful it is. It can only grow, and it’s going to grow fast, regardless of any stock market drawdowns (the internet kept growing even when valuations got nuked in 2000). Either way, the near future is going to be extremely interesting.
0:15

"Pros won’t use generative AI, and when the bubble pops, nobody will ever talk about it again." No. That’s delusional. 1/ Generative AI is already being used professionally at the level of big studios like Disney ($1B to OpenAI), and there’s zero doubt that studios like Industrial Light & Magic, Netflix, Hollywood VFX experts, etc. are already experimenting with it too. Or do you think they’re idiots? They’re not idiots at all. They have the experience and, more importantly, the DISTRIBUTION POWER. The point is: someone with taste, judgment, and storytelling experience, basically from their living room, will have access to (almost, or not even almost) the same capability as the big guys, because the pure "making stuff" skills have been commoditized, and the new way to create is just NATURAL LANGUAGE. What hasn’t been commoditized is good taste, the ability to create great stories that move people, and the ability to get them in front of people. So in the end, what wins is story quality and distribution. Having good taste, making a name for yourself, and owning strong IP (Marvel, etc.) will still matter. That’ll be true right up until AI is genuinely opinionated and can create by itself: if it comes to that, with zero human direction, stuff as good as (or better than) the very best human experts today, and on top of that, interactive in real time... Because yeah: there’s nothing in this universe that actually prevents that from happening. BUT WE’RE NOT THERE. For now, generative AI is a tool that needs direction and taste to make anything decent. And I hope it stays that way for a long time, because otherwise that’s going to be a brutal hit to humanity’s ego. 2/ On the "bubble": you have to distinguish between a stock valuation bubble (possible, I actually believe it) vs a bubble like some people imagine where it "pops" and we never hear about AI again. That obviously makes no sense given how insanely useful it is. It can only grow, and it’s going to grow fast, regardless of any stock market drawdowns (the internet kept growing even when valuations got nuked in 2000). Either way, the near future is going to be extremely interesting.

Javi Lopez ⛩️

75,190 次观看 • 6 个月前

FilterSpy is now live! 🕵️ FilterSpy is a social AI agent on Telegram, disguised as a user. It can monitor messages in real time, join any public Telegram group, forward messages with custom filters, and generate AI-powered summaries. 🔹 Smart Message Forwarding – Just select users you want to track, and FilterSpy will forward their messages to you, with options to filter by keywords, just include or exclude what you need. 🔹 Personalised AI Summaries – Get custom summaries of selected users messages, simplified for tech jargon, topic-focused, or in any language you choose. 🔹 Access To Restricted Groups – FilterSpy can solve human verification tests to enter groups protected by channels and portals. Deep dive coming soon 👀 Access here - Documentation -
0:15

FilterSpy is now live! 🕵️ FilterSpy is a social AI agent on Telegram, disguised as a user. It can monitor messages in real time, join any public Telegram group, forward messages with custom filters, and generate AI-powered summaries. 🔹 Smart Message Forwarding – Just select users you want to track, and FilterSpy will forward their messages to you, with options to filter by keywords, just include or exclude what you need. 🔹 Personalised AI Summaries – Get custom summaries of selected users messages, simplified for tech jargon, topic-focused, or in any language you choose. 🔹 Access To Restricted Groups – FilterSpy can solve human verification tests to enter groups protected by channels and portals. Deep dive coming soon 👀 Access here - Documentation -

FilterAI

31,198 次观看 • 1 年前

This is how you can personalize sports and finance on Perplexity today. This way, when your favorite team is about to play a game, you didn’t have to go search. Live action widget just takes over your Lock Screen. Similar things planned for earnings calls for the finance watchlist. More personalization and customization are being worked on and coming in March. Idea is for you to not even have to think of asking stuff. The AI should just do that work for you and give it to you without any effort.
0:19

This is how you can personalize sports and finance on Perplexity today. This way, when your favorite team is about to play a game, you didn’t have to go search. Live action widget just takes over your Lock Screen. Similar things planned for earnings calls for the finance watchlist. More personalization and customization are being worked on and coming in March. Idea is for you to not even have to think of asking stuff. The AI should just do that work for you and give it to you without any effort.

Aravind Srinivas

47,080 次观看 • 1 年前

This option alone shows us that #activism and highlighting issues and unacceptable exclusion is worth while. Now #wheelchair users and those with mobility issues won’t have to be relying on others for access, they won’t have to give notice to travel and as long as the lifts are working then access will be available to all. #independence #Equality #DisabilityRights
0:15

This option alone shows us that #activism and highlighting issues and unacceptable exclusion is worth while. Now #wheelchair users and those with mobility issues won’t have to be relying on others for access, they won’t have to give notice to travel and as long as the lifts are working then access will be available to all. #independence #Equality #DisabilityRights

Access For All Ireland

73,193 次观看 • 3 年前

Web is now available in the EU 🇪🇺 EU users can easily access their App account on their desktop ✅ Simply scan the QR code on the login page with your app to get started Check it out now, and let us know what other features you want to see on Web 👉
0:15

Web is now available in the EU 🇪🇺 EU users can easily access their App account on their desktop ✅ Simply scan the QR code on the login page with your app to get started Check it out now, and let us know what other features you want to see on Web 👉

Crypto.com

101,734 次观看 • 1 年前

Amazon Alexa, Google Assistant, and Apple Siri are always listening for the word that wakes them up. The microphone never fully switches off, because it has to catch the wake word at any moment. The trouble is that these devices mishear constantly and start recording when nobody meant to trigger them. All three companies have confirmed that clips of what people said were passed to human workers to review, sometimes catching private conversations that were never meant to be heard by anyone. The speaker on your counter picks up far more than the commands you give it.
0:16

Amazon Alexa, Google Assistant, and Apple Siri are always listening for the word that wakes them up. The microphone never fully switches off, because it has to catch the wake word at any moment. The trouble is that these devices mishear constantly and start recording when nobody meant to trigger them. All three companies have confirmed that clips of what people said were passed to human workers to review, sometimes catching private conversations that were never meant to be heard by anyone. The speaker on your counter picks up far more than the commands you give it.

Anonymous

61,935 次观看 • 21 天前

With a straight face, Mark Carney says that his government AI strategy will protect your privacy...and you children: "The first is trust, we will protect your data, your privacy and your children." Huh?! The Liberals have Bills that literally do the opposite of this and want backdoor access to our data, infringing on our privacy.
0:13

With a straight face, Mark Carney says that his government AI strategy will protect your privacy...and you children: "The first is trust, we will protect your data, your privacy and your children." Huh?! The Liberals have Bills that literally do the opposite of this and want backdoor access to our data, infringing on our privacy.

Kirk Lubimov

30,236 次观看 • 2 个月前

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.
0:15

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

280,790 次观看 • 2 个月前

Since the guy responding to this blocked me like a coward before I could respond to them, this is your reminder that I have never and will never use AI in any of my animations. Accusing artists and animators of AI without proof is very dangerous. Shame on you.
0:15

Since the guy responding to this blocked me like a coward before I could respond to them, this is your reminder that I have never and will never use AI in any of my animations. Accusing artists and animators of AI without proof is very dangerous. Shame on you.

Jusagi 🎲💭⏳🗿

152,609 次观看 • 7 个月前

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.
0:11

In 2025, the AgentFlayer exploit highlighted a new category of risk in AI systems. It was not a traditional breach involving stolen credentials or broken encryption. Instead, it demonstrated how an autonomous AI agent could be manipulated into executing unintended actions by processing malicious instructions embedded inside content it automatically processes. The incident did not expose a flaw in one specific integration. It revealed a structural weakness in how many modern AI agents are built. Today’s agents are no longer passive language models. They read documents automatically, scan emails, connect to SaaS tools, access cloud storage, and execute actions across multiple systems. To be useful, they are granted meaningful permissions. That capability creates value, but it also expands the attack surface. Most agent environments operate in a trusted, plaintext execution model. Data is encrypted at rest and in transit, but it is typically decrypted during inference so the model can process it. That runtime visibility is where potential risk lies. In a zero-click scenario like AgentFlayer, an attacker can embed hidden instructions inside a document that the AI processes automatically. Because the agent may have access to connected systems such as Google Drive, Slack, or GitHub, it can potentially be influenced to retrieve sensitive information or perform unintended actions. The user does not need to click a malicious link or approve a suspicious request. Therefore, the core issue is that during execution, the system may have access to sensitive data and broad privileges, meaning whoever controls the execution environment ultimately controls access to that data. Now consider a different architectural approach. If a system is designed so that data remains protected during execution, the risk profile changes. On Nesa, privacy is enforced at the execution layer through Equivariant Encryption. Computation can occur on encrypted data, reducing the visibility surface during runtime. Sensitive inputs and models do not need to be exposed in plain text to infrastructure operators for inference to occur. This does not eliminate prompt injection, logic manipulation, or tool misuse. Encryption alone cannot prevent an agent from being instructed to take an unintended action if it has been granted that permission. What it does do is materially reduce confidentiality risk. By limiting access to readable sensitive data during execution and reducing unilateral visibility at the infrastructure layer, the potential blast radius of a successful manipulation attempt is constrained. As AI agents become more autonomous and embedded into enterprise workflows, security must move deeper into architecture. The goal is not to claim invulnerability. It is to reduce trust concentration and contain systemic exposure when failures occur. AgentFlayer was not simply a one-off exploit. It was a reminder that in autonomous systems, execution-layer design determines how risk propagates.

Nesa

17,038 次观看 • 5 个月前

📡Web Scraping is Live in the app and API You can now turn any URL into AI context on Venice Just include a URL in your prompt, and Venice will automatically scrape the page to include as context for your request
0:14

📡Web Scraping is Live in the app and API You can now turn any URL into AI context on Venice Just include a URL in your prompt, and Venice will automatically scrape the page to include as context for your request

Venice

39,679 次观看 • 10 个月前

Apple has just launched a fresh legal fight against a secret UK government order that demands access to encrypted iCloud backups. Here is the part most people missed. Rather than build the backdoor the UK asked for, Apple switched off its strongest encryption, called Advanced Data Protection, for British users. So people in the UK no longer have the option where not even Apple can see their data. Not because of a hack, but because their government demanded a key. The whole case is secret by law. Neither side is even allowed to confirm the order exists. Apple has said only that it has never built a backdoor into anything, and it never will.
0:13

Apple has just launched a fresh legal fight against a secret UK government order that demands access to encrypted iCloud backups. Here is the part most people missed. Rather than build the backdoor the UK asked for, Apple switched off its strongest encryption, called Advanced Data Protection, for British users. So people in the UK no longer have the option where not even Apple can see their data. Not because of a hack, but because their government demanded a key. The whole case is secret by law. Neither side is even allowed to confirm the order exists. Apple has said only that it has never built a backdoor into anything, and it never will.

Anonymous

56,923 次观看 • 20 天前

Apple is now sending urgent alerts directly to iPhones targeted by government-grade spyware attacks. These "Apple threat notifications" warn specific individuals being singled out by sophisticated mercenary spyware like Pegasus. These alerts arrive via email, iMessage, and appear as a banner on the user’s Apple ID webpage. This reveals that state-funded digital surveillance remains a serious global reality in 2026. While average users are not at risk from these very expensive attacks, it is a critical safety feature for high-profile journalists, activists, and politicians. Upon receiving an alert, high-risk users must immediately enable Apple's Lockdown Mode. Relying on standard security settings is no longer enough when state-level resources are deployed to hack a mobile device.
0:15

Apple is now sending urgent alerts directly to iPhones targeted by government-grade spyware attacks. These "Apple threat notifications" warn specific individuals being singled out by sophisticated mercenary spyware like Pegasus. These alerts arrive via email, iMessage, and appear as a banner on the user’s Apple ID webpage. This reveals that state-funded digital surveillance remains a serious global reality in 2026. While average users are not at risk from these very expensive attacks, it is a critical safety feature for high-profile journalists, activists, and politicians. Upon receiving an alert, high-risk users must immediately enable Apple's Lockdown Mode. Relying on standard security settings is no longer enough when state-level resources are deployed to hack a mobile device.

Anonymous

58,933 次观看 • 12 天前