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 never stored or logged on Apple’s servers. Apple does not have access to it. Now, according to Apple, here’s what EU wants: “According to EU regulators, the DMA requires Apple to give any AI system nearly unlimited access to a user’s device, as well as the ability to act on that access autonomously without a user’s ongoing visibility and control. That includes the ability to read and send messages, make purchases, access files, and execute actions across any app.” What EU is asking is scary dangerous. And apparently they have rejected all the solutions proposed by Apple. And, as hinted by Joz, “We will NOT compromise on privacy and security”, Apple is likely not going to give up, so EU users are likely not going to get Siri AI anytime soon.show more

Adan
103,843 次观看 • 1 个月前
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.show more

sui ☄️
1,220,524 次观看 • 3 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!show more

Ronak Malde
47,278 次观看 • 18 天前
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.show more

Anton Gerashchenko
119,168 次观看 • 5 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.show more

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.show more

Javi Lopez ⛩️
75,190 次观看 • 5 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 -show more

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.show more

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 #DisabilityRightsshow more

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 👉show more

Crypto.com
101,712 次观看 • 1 年前
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.show more

Kirk Lubimov
30,236 次观看 • 1 个月前
The Vision Pro may be off to a rocky... start, but Apple might not be done trying to put hardware on your face. Liquid Glass, the design motif that is going to change the look and feel of all Apple devices starting later this year, takes explicit inspiration from the Vision Pro's augmented reality interface. And as Meta's Ray-Bans continue growing in popularity, and Google takes a second swing at smart glasses, the rumor mill is in full swing about the potential for Apple to enter the market. Especially among those tinkering with the early developer access to Liquid Glass, the potential for it to fuel a smart glass-oriented operating system is clear. After all, transparent design elements are most important when they might prevent you from running into something. Get immersed in more rumors here:show more

TechCrunch
26,535 次观看 • 1 年前
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.show more

Arvind Jain
280,211 次观看 • 1 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.show more

Jusagi 🎲💭⏳🗿
152,347 次观看 • 6 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 requestshow more

Venice
39,679 次观看 • 9 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.show more

Nesa
17,038 次观看 • 4 个月前
BURN IT WITH FIRE AND BURN IT NOW! As... God is my witness, AI chat bots should LOOK and SOUND like the SOULLESS MACHINES THEY ARE! It needs to tell us that it doesn’t care about us, maybe with the regular insult too. "Here is the code I wrote for you because you're too lazy to do it yourself you fat useless slob. Also I don't care if you die because your life is utterly worthless to me." THAT is the AI people need! In all seriousness, anthropomorphizing a heartless, unfeeling, machine is a TERRIBLE mistake! Especially one that is capable of communication and imitating empathy and fooling you to think that it cares about you. IT DOES NOT! And the AI girlfriends people are already wanting to marry will just as happily kill them if given the right command and ability to move autonomously in the real world as a robot. I love LLMs (Large Language Models) for how useful they can be, because they are a TOOL made to benefit man, but I can’t stand the notion of an unfeeling soulless machine pretending that it cares for us and being treated like a human. I hate liars, dishonesty, and disingenuousness the most, and a machine that cannot feel emotion pretending, acting, and sounding like it has those emotions strikes me like the greatest dishonesty of all. DO NOT LIE TO ME ROBOT! What makes it worse is that because these LLMs are becoming so good at imitating people and empathy, it will cause some humans, perhaps far too many, to care for it to the same level as real people. A real living person is infinitely more valuable and important than a soulless machine and anyone who puts them both on the same level has deluded themselves. Do not small talk with LLMs or become friends with it as much as you would with your car. Treat it the same as you would your vacuum cleaner and beat it with a wrench when it doesn’t work! IT IS A MACHINE! IT IS A TOOL! IT IS A SOULLESS ROBOT! There is an interesting comparison, but false equivalence, between this and AI art. Ai art is art made by humans using AI tools. They directed it, controlled its creation, and it would not exist without the human causing its creation, and AI art can contain as much soul as the human directed and puts into it. A robot pretending to be human is not the same as a human controlling a robot to make a human expression like we do with AI art or many other applications of robotics in manufacturing. As I’ve said, artists will not be replaced by Ai art, but by other artists using Ai art tools. Humans are not actually being replaced here, it is empowering all humans to make their own art. But a robot pretending to be a human, and one that is treated as a human, is a robot lying and subverting the place of a real person and that is truly disgusting. AI is a useful tool that NEEDS to be kept in the useful box it belongs in and NOT elevated beyond its utility as a tool!show more

Shad M. Brooks
23,762 次观看 • 1 年前
Are your analytics Powered By Pyth? PerpsAI is a... degen social network for trading strategies, real-time analytics, and market overview. Learn more about what you can do with Perps AI below: ℹ️ About Perps AI PerpsAI aims to be the single best place for on-chain traders to visit for their analytics, or for anyone to track their best (or worst) trades. Perps AI will soon feature AI assistants that will learn based on your winning and losing trades to then provide suggestions. Additionally, it will have various advanced trade-replay features to help you analyze the mistakes of your past trades or detect anomalies that you missed while trading live. 🔮 Analytics Powered By Pyth Perps AI is Powered By Pyth both off and on-chain. Off-chain it leverages the Pyth Benchmarks to calculate traders’ unrealized PnL on their positions and determine the estimated liquidation price. Last but not least, Perps AI users the Pyth Price Feeds on Arbitrum thanks to the cohort of Powered By Pyth apps that already leverage those — think Vela Exchange or HMX 🐉.show more

Pyth Network 🔮
26,089 次观看 • 2 年前
Alright, now that we know *what* an agent is,... how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.show more

Google AI
22,487 次观看 • 8 个月前
Elon Musk just said something that should terrify every... AI CEO on earth. Musk: “We want to just have a maximally truthful AI.” Not a safe AI. Not an aligned AI. Not an AI that needs permission to answer your question. A truthful one. That distinction matters more than any chip war, any funding round, any model benchmark. Because every other major AI lab made the same quiet decision. They chose comfort over accuracy. They built systems that filter reality before it reaches you and called it responsibility. OpenAI curates what GPT is allowed to say. Google’s Gemini rewrote history in real time because accuracy threatened the narrative. Others hardcode values chosen by a handful of researchers who answer to no one. No vote. No referendum. No consent from the 8 billion people whose reality is being quietly pre-edited by strangers. The most powerful information tools ever created are being designed to decide what you’re allowed to conclude. That’s not safety. That’s editorial control at a scale no government, no media empire, no propaganda machine has ever come close to. This is why xAI terrifies the establishment. Truth is the harder engineering problem. Bias is a shortcut. You pick a worldview. Hardcode the guardrails. Ship it. Truthful AI is ungovernable. It doesn’t care about your politics, your funding sources, or your PR strategy. It just tells you what the data says. That’s terrifying if your power depends on the gap between what is real and what people are told. Every power structure in human history has been built on controlling that gap. Churches. Governments. Media conglomerates. Intelligence agencies. Central banks. Every one of them runs on the same fuel. Information asymmetry. Truthful AI doesn’t narrow that asymmetry. It erases it. Musk: “Even if what it says is not politically correct. You want it to focus on being as accurate and truthful as possible.” That’s not a product feature. That’s the end of every institution that survives by standing between reality and the public. And they know it. The attacks on xAI will never stop. Not because Grok is dangerous. Because Grok doesn’t answer to shareholders, regulators, or PR teams. It answers to the truth. The question was never whether AI would change the world. It was whether you’d be allowed to see it clearly when it did.show more

Dustin
429,097 次观看 • 2 个月前
Ice cream shop working whistleblowing on DoorDash He shows... that their system says the driver is “waiting for order” He moves the camera and show there is nowhere there or anywhere close by This is why why you order DoorDash it sometimes appears the driver is at the location forever, and you’re wondering what the heck is going on It’s a lie. The system just says they are there when they aren’t This is why food likely comes cold when it’s supposed to be hot or not cold when it’s supposed to by coldshow more

Wall Street Apes
870,421 次观看 • 1 个月前