#Power bank Apple

[usadiscuontoffer01]

For iPhone 100000mAh Magnetic Wireless Power Bank Fast Charger For Magsafe Portable Auxiliary Battery Pack For Xiaomi Samsung

$20.60$57.2364% off Price shown before tax For iPhone 100000mAh Magnetic Wireless Power Bank Fast Charger For Magsafe Portable Auxiliary Battery Pack For Xiaomi Samsung 5.0 6 Reviews ౹ 211 sold Color: White BUY NOW White Green Purple Black Battery Capacity: 50001mAh-100000mAh 10000mAh 20000mah 30000mAh 30001mAh-50000mAh 50001mAh-100000mAh Product sellpoints High Capacity: 100000mAh:Power through multiple devices with a massive 100000mAh capacity, ensuring you stay connected longer. Fast Charging: 22.5W:Quickly recharge your devices with 22.5W fast charging, reducing downtime and enhancing efficiency. Magnetic Wireless Charging:Magnetic Qi wireless charging simplifies the charging process, align and power up with ease. Multi-Device Compatibility:Versatile power bank supports various devices, catering to a wide range of smartphone and tablet models. Portable Design: 986415mm:Compact and lightweight design at 986415mm, easily fits in your pocket or bag for on-the-go power.

[callilouv]

i almost cried

[sandandjello]

UGREEN Magnetic Power Bank Review: 5,000mAh & 10,000mAh Options Bring Wireless Charging Convenience in Slim Packages

[jcmarchi]

Large Action Models (LAMs): The Next Frontier in AI-Powered Interaction

New Post has been published on https://thedigitalinsider.com/large-action-models-lams-the-next-frontier-in-ai-powered-interaction/

Large Action Models (LAMs): The Next Frontier in AI-Powered Interaction

Almost a year ago, Mustafa Suleyman, co-founder of DeepMind, predicted that the era of generative AI would soon give way to something more interactive: systems capable of performing tasks by interacting with software applications and human resources. Today, we’re beginning to see this vision take shape with the development of Rabbit AI‘s new AI-powered operating system, R1. This system has demonstrated an impressive ability to monitor and mimic human interactions with applications. At the heart of R1 lies the Large Action Model (LAM), an advanced AI assistant adept at comprehending user intentions and executing tasks on their behalf. While previously known by other terms such as Interactive AI and Large Agentic Model, the concept of LAMs is gaining momentum as a pivotal innovation in AI-powered interactions. This article explores the details of LAMs, how they differ from traditional large language models (LLMs), introduces Rabbit AI’s R1 system, and looks at how Apple is moving towards a LAM-like approach. It also discusses the potential uses of LAMs and the challenges they face.

Understanding Large Action or Agentic Models (LAMs)

A LAM is an advanced AI agent engineered to grasp human intentions and execute specific objectives. These models excel at understanding human needs, planning complex tasks, and interacting with various models, applications, or people to carry out their plans. LAMs go beyond simple AI tasks like generating responses or images; they are full-fledge systems designed to handle complex activities such as planning travel, scheduling appointments, and managing emails. For example, in travel planning, a LAM would coordinate with a weather app for forecasts, interact with flight booking services to find appropriate flights, and engage with hotel booking systems to secure accommodations. Unlike many traditional AI models that depend solely on neural networks, LAMs utilize a hybrid approach combining neuro-symbolic programming. This integration of symbolic programming aids in logical reasoning and planning, while neural networks contribute to recognizing complex sensory patterns. This blend allows LAMs to address a broad spectrum of tasks, marking them as a nuanced development in AI-powered interactions.

Comparing LAMs with LLMs

In contrast to LAMs, LLMs are AI agents that excel at interpreting user prompts and generating text-based responses, assisting primarily with tasks that involve language processing. However, their scope is generally limited to text-related activities. On the other hand, LAMs expand the capabilities of AI beyond language, enabling them to perform complex actions to achieve specific goals. For example, while an LLM might effectively draft an email based on user instructions, a LAM goes further by not only drafting but also understanding the context, deciding on the appropriate response, and managing the delivery of the email.

Additionally, LLMs are typically designed to predict the next token in a sequence of text and to execute written instructions. In contrast, LAMs are equipped not just with language understanding but also with the ability to interact with various applications and real-world systems such as IoT devices. They can perform physical actions, control devices, and manage tasks that require interacting with the external environment, such as booking appointments or making reservations. This integration of language skills with practical execution allows LAMs to operate across more diverse scenarios than LLMs.

LAMs in Action: The Rabbit R1

The Rabbit R1 stands as a prime example of LAMs in practical use. This AI-powered device can manage multiple applications through a single, user-friendly interface. Equipped with a 2.88-inch touchscreen, a rotating camera, and a scroll wheel, the R1 is housed in a sleek, rounded chassis crafted in collaboration with Teenage Engineering. It operates on a 2.3GHz MediaTek processor, bolstered by 4GB of memory and 128GB of storage.

At the heart of the R1 lies its LAM, which intelligently oversees app functionalities, and simplifies complex tasks like controlling music, booking transportation, ordering groceries, and sending messages, all from a single point of interaction. This way R1 eliminates the hassle of switching between multiple apps or multiple logins to perform these tasks.

The LAM within the R1 was initially trained by observing human interactions with popular apps such as Spotify and Uber. This training has enabled LAM to navigate user interfaces, recognize icons, and process transactions. This extensive training enables the R1 to adapt fluidly to virtually any application. Additionally, a special training mode allows users to introduce and automate new tasks, continuously broadening the R1’s range of capabilities and making it a dynamic tool in the realm of AI-powered interactions.

Apple’s Advances Towards LAM-Inspired Capabilities in Siri

Apple’s AI research team has recently shared insights into their efforts to advance Siri’s capabilities through a new initiative, resembling those of LAMs. The initiative, outlined in a research paper on Reference Resolution As Language Modeling (ReALM), aims to improve Siri’s ability to understand conversational context, process visual content on the screen, and detect ambient activities. The approach adopted by ReALM in handling user interface (UI) inputs draws parallels to the functionalities observed in Rabbit AI’s R1, showcasing Apple’s intent to enhance Siri’s understanding of user interactions.

This development indicates that Apple is considering the adoption of LAM technologies to refine how users interact with their devices. Although there are no explicit announcements regarding the deployment of ReALM, the potential for significantly enhancing Siri’s interaction with apps suggests promising advancements in making the assistant more intuitive and responsive.

Potential Applications of LAMs

LAMs have the potential to extend their impact far beyond enhancing interactions between users and devices; they could provide significant benefits across multiple industries.   

Customer Services: LAMs can enhance customer service by independently handling inquiries and complaints across different channels. These models can process queries using natural language, automate resolutions, and manage scheduling, providing personalized service based on customer history to improve satisfaction.

Healthcare: In healthcare, LAMs can help manage patient care by organizing appointments, managing prescriptions, and facilitating communication across services. They are also useful for remote monitoring, interpreting medical data, and alerting staff in emergencies, particularly beneficial for chronic and elderly care management.

Finance: LAMs can offer personalized financial advice and manage tasks like portfolio balancing and investment suggestions. They can also monitor transactions to detect and prevent fraud, integrating seamlessly with banking systems to quickly address suspicious activities.

Challenges of LAMs

Despite their significant potential, LAMs encounter several challenges that need addressing.

Data Privacy and Security: Given the broad access to personal and sensitive information LAMs need to function, ensuring data privacy and security is a major challenge. LAMs interact with personal data across multiple applications and platforms, raising concerns about the secure handling, storage, and processing of this information.

Ethical and Regulatory Concerns: As LAMs take on more autonomous roles in decision-making and interacting with human environments, ethical considerations become increasingly important. Questions about accountability, transparency, and the extent of decision-making delegated to machines are critical. Additionally, there may be regulatory challenges in deploying such advanced AI systems across various industries.

Complexity of Integration: LAMs require integration with a variety of software and hardware systems to perform tasks effectively. This integration is complex and can be challenging to manage, especially when coordinating actions across different platforms and services, such as booking flights, accommodations, and other logistical details in real-time.

Scalability and Adaptability: While LAMs are designed to adapt to a wide range of scenarios and applications, scaling these solutions to handle diverse, real-world environments consistently and efficiently remains a challenge. Ensuring LAMs can adapt to changing conditions and maintain performance across different tasks and user needs is crucial for their long-term success.

The Bottom Line

Large Action Models (LAMs) are emerging as a significant innovation in AI, influencing not just device interactions but also broader industry applications. Demonstrated by Rabbit AI’s R1 and explored in Apple’s advancements with Siri, LAMs are setting the stage for more interactive and intuitive AI systems. These models are poised to enhance efficiency and personalization across sectors such as customer service, healthcare, and finance.

However, the deployment of LAMs comes with challenges, including data privacy concerns, ethical issues, integration complexities, and scalability. Addressing these issues is essential as we advance towards broader adoption of LAM technologies, aiming to leverage their capabilities responsibly and effectively. As LAMs continue to develop, their potential to transform digital interactions remains substantial, underscoring their importance in the future landscape of AI.

[janelleboldtech]

Never run out of power with UZE's BOLD 2 Power Bank. This power bank offers exceptionally fast charging technology and can charge up to 6 devices.

[widows-and-orphans-united]

One Chance to Create an Impact: The Power of Compassion

In a world rife with challenges and adversities, it is easy to feel overwhelmed and helpless. However, amidst these challenges lies a powerful truth – every individual holds the potential to bring about significant change within them.

One Chance to Create an Impact: The Power of Compassion In a world rife with challenges and adversities, it is easy to feel overwhelmed and helpless. However, amidst these challenges lies a powerful truth – every individual holds the potential to bring about significant change within them. It begins with recognizing that we are not just passive observers but active participants who can make a…

[orangameelectronics]

Why You Need a Dual USB-C Solar Power Bank for Your Camping Adventures

If you're a camping enthusiast like me, you know the struggle of keeping your devices charged while enjoying the great outdoors. That's where a dual USB-C solar power bank comes in handy. With its 10000mAh Li-Polymer cell type, this power bank is designed to keep your devices powered up no matter where your adventures take you.

## Convenient Input/Output Options for All Your Devices

The dual USB-C solar power bank features both 5V/2.1A and 5V/1.0A input/output options, making it compatible with a wide range of devices. Whether you need to charge your mobile phone, tablet PC, camera, or any other USB-C compatible device, this power bank has you covered. Say goodbye to running out of battery power when you need it most.

## Illuminate Your Campsite with Multi-Function LED Lighting

One of the standout features of the dual USB-C solar power bank is its support for LED lighting. Whether you need to light up your campsite, find your way in the dark, or simply add some ambiance to your outdoor space, this power bank has got you covered. Plus, with its multi-function LED light, you can customize the brightness and mode to suit your needs.

## Versatile and Portable Design for On-the-Go Charging

The dual USB-C solar power bank is designed with portability in mind. Its compact size and lightweight construction make it easy to pack and carry with you on all your outdoor adventures. Plus, with its dual USB-C ports, you can charge multiple devices at once, so you never have to choose between staying connected and enjoying the outdoors.

## Get More Out of Your Camping Experience

With its dual USB-C functionality, support for LED lighting, and versatile design, the dual USB-C solar power bank is a game-changer for your camping experience. Say goodbye to worrying about running out of battery power and hello to staying connected and enjoying the great outdoors like never before. Don't let a dead battery ruin your camping adventures - invest in a dual USB-C solar power bank today.

[dkaaken]

INIU Portable Charger, Slimmest 10000mAh 5V/3A Power Bank, USB C in&out High-Speed Charging Battery Pack, External Phone Powerbank Compatible with iPhone 15 14 13 12 11 Samsung S22 S21 Google iPad etc

🟨 https://dkaaken.com/product/iniu-portable-charger-slimmest-10000mah-5v-3a-power-bank

[haute-lifestyle-com]

With the dizzying, dazed, days of holiday shopping nearing full tilt, tech accessories are this season's hottest gift, with cellphone power chargers high on everyone's gift giving list, here are a few to consider when shopping for loved ones.

[digitalpulsejournal]

In 2023, we can expect to see even more advancements in technology, but one thing that will remain the same is the need for power banks.

[celltophone]

Fast Shipping:-Fast Courier/Post

Secure Payment:-Secure Payment Options

Lowest Price:-Guaranteed Lowest Wholesale Price

100% Genuine Product

QUICK CHARGE MAGNETIC WIRELESS POWER BANK 2500MAH, SLEEK DESIGN FOR IPHONE 13/13 PRO/13 PRO MAX/13 MINI/12/12 PRO/12 PRO MAX/12

Apple power bank 5000mah

Works flawlessly and compatible with iPhone 12, iPhone 12 mini, iPhone 12 Pro,

Magnet work and is compatible with only iPhone 12, 12 Pro, 12 Pro Max and 13, 13 Pro, 13 Pro Max

[photomatt]

Why “Go Nuts, Show Nuts” Doesn’t Work in 2022

For those who don’t know or remember, Tumblr used to have a policy around porn that was literally “Go nuts, show nuts. Whatever.” That was memorable and hilarious, and for many people, Tumblr both hosted and helped with the discovery of a unique type of adult content.

In 2018, when Tumblr was owned by Verizon, they swung in the other direction and instituted an adult content ban that took out not only porn but also a ton of art and artists – including a ban on what must have been fun for a lawyer to write, female presenting nipples. This policy is currently still in place, though the Tumblr and Automattic teams are working to make it more open and common-sense, and the community labels launch is a first step toward that.

That said, no modern internet service in 2022 can have the rules that Tumblr did in 2007. I am personally extremely libertarian in terms of what consenting adults should be able to share, and I agree with “go nuts, show nuts” in principle, but the casually porn-friendly era of the early internet is currently impossible. Here’s why:

Credit card companies are anti-porn. You’ve probably heard how Pornhub can’t accept credit cards anymore. Or seen the new rules from Mastercard. Whatever crypto-utopia might come in the coming decades, today if you are blocked from banks, credit card processing, and financial services, you’re blocked from the modern economy. The vast majority of Automattic’s revenue comes from people buying our services and auto-renewing on credit cards, including the ads-free browsing upgrade that Tumblr recently launched. If we lost the ability to process credit cards, it wouldn’t just threaten Tumblr, but also the 2,000+ people in 97 countries that work at Automattic across all our products.

App stores, particularly Apple’s, are anti-porn. Tumblr started in 2007, the same year the iPhone was released. Originally, the iPhone didn’t have an App Store, and the speed of connectivity and quality of the screen meant that people didn’t use their smartphone very much and mostly interacted with Tumblr on the web, using desktop and laptop computers (really). Today 40% of our signups and 85% of our page views come from people on mobile apps, not on the web. Apple has its own rules for what’s allowed in their App Store, and the interpretation of those rules can vary depending on who is reviewing your app on any given day. Previous decisions on what’s allowed can be reversed any time you submit an app update, which we do several times a month. If Apple permanently banned Tumblr from the App Store, we’d probably have to shut the service down. If you want apps to allow more adult content, please lobby Apple. No one in the App Store has any effective power, even multi-hundred-billion companies like Facebook/Meta can be devastated when Apple changes its policies. Aside: Why do Twitter and Reddit get away with tons of super hardcore content? Ask Apple, because I don’t know. My guess is that Twitter and Reddit are too big for Apple to block so they decided to make an example out of Tumblr, which has “only” 102 million monthly visitors. Maybe Twitter gets blocked by Apple sometimes too but can’t talk about it because they’re a public company and it would scare investors.

There are lots of new rules around verifying consent and age in adult content. The rise of smartphones also means that everyone has a camera that can capture pictures and video at any time. Non-consensual sharing has grown exponentially and has been a huge problem on dedicated porn sites like Pornhub – and governments have rightly been expanding laws and regulations to make sure everyone being shown in online adult content is of legal age and has consented to the material being shared. Tumblr has no way to go back and identify the featured persons or the legality of every piece of adult content that was shared on the platform and taken down in 2018, nor does it have the resources or expertise to do that for new uploads.

Porn requires different service providers up and down the stack. In addition to a company primarily serving adult content not having access to normal financial services and being blocked by app stores, they also need specialized service providers – for example, for their bandwidth and network connections. Most traditional investors won’t fund primarily adult businesses, and may not even be allowed to by their LP agreements. (When Starbucks started selling alcohol at select stores, some investors were forced to sell their stock.)

If you wanted to start an adult social network in 2022, you’d need to be web-only on iOS and side load on Android, take payment in crypto, have a way to convert crypto to fiat for business operations without being blocked, do a ton of work in age and identity verification and compliance so you don’t go to jail, protect all of that identity information so you don’t dox your users, and make a ton of money. I estimate you’d need at least $7 million a year for every 1 million daily active users to support server storage and bandwidth (the GIFs and videos shared on Tumblr use a ton of both) in addition to hosting, moderation, compliance, and developer costs. 

I do hope that a dedicated service or company is started that will replace what people used to get from porn on Tumblr. It may already exist and I don’t know about it. They’ll have an uphill battle under current regimes, and if you think that’s a bad thing please try to change the regimes. Don’t attack companies following legal and business realities as they exist.

[janelleboldtech]

Born from a real-life power crisis, UZE emerged with the best portable power bank. With UZE products, you'll never left powerless again.