#amazon code ai

[amzoncode]

Unlocking Amazon Codes' Complete Potential: A Step-by-Step Guide

Overview

A vital component of the Amazon ecosystem, Amazon coupons can be used for anything from applying discounts to activating devices. Knowing how to use these codes can make a big difference in your experience, whether you're utilizing Amazon CodeArtifact for development purposes, configuring an Apple Watch, or setting up an Alexa device. This tutorial will provide you a thorough, user-friendly, and interactive rundown of using different Amazon codes. 

First Chapter: CodeArtifact on Amazon

What is CodeArtifact on Amazon?

Software packages used in development may be easily stored, published, and shared securely by organizations with the help of Amazon CodeArtifact, a amazon code alexa login fully managed artifact repository service. It integrates easily with your current CI/CD pipelines and supports package managers and formats such as NuGet, Python, npm, and Maven.

Using CodeArtifact from Amazon

Setup and Configuration:

Register: Visit aws.amazon.com to create an account if you do not already have one for AWS.

Establish a repository: Go to CodeArtifact in the AWS Management Console and start a new repository.

Set up Authentication: To enable access to CodeArtifact, build a policy using AWS IAM.

Packages for Publishing:

Configure Package Manager: Set up your CodeArtifact repository's connection to your package manager (such as npm or Maven).

Publish: To upload your packages to CodeArtifact, use the publish command in the package manager.

Getting Packages Back: 

Install Packages: Assembly CodeArtifact as the package source for your project, then install the necessary packages.

Chapter 2: Alexa Codes from Amazon

Code for Amazon Enter Code for Alexa

An activation code is amazon code artifact frequently needed while setting up an Amazon Alexa device in order to connect it to your Amazon account.

Utilizing Amazon Codes to Turn on Alexa

Configure the Alexa Device:

After plugging in your Alexa device, complete the Alexa app's setup instructions.

A code will show up on your device's screen during setup.

Put the Code in: 

Launch the Alexa app on your smartphone.

Go to settings and type in the code that amazon code alexa enter code appears on your Alexa device.

By doing this, you can use all of Alexa's features by connecting your device to your Amazon account.

Chapter 3: Using Coupons from Amazon

Use Your Amazon Code

You can access exclusive features, promotions, and discounts by using Amazon codes. This is how these codes work well when applied.

How to Use Amazon Coupons

Find the Code: Look for the coupon or discount code during the checkout process, on product pages, or in Amazon's promotional emails.

Put Products in the Cart: Put the things you want to buy in your shopping cart.

At checkout, enter the code: 

Go ahead and check out.

Find the "Gift Cards & Promotional Codes" box on the "Review your order" page.

After entering the code, select "Apply."

Your order total will reflect the discount or offer.

Typical Use Cases:

Product discounts: Get money off of particular brands or categories.

Free Delivery: Take advantage of free shipping on qualifying orders.

Offers That Are Only Available Through Code Application: Take advantage of exclusive discounts and promotions.

Chapter 4: Setting Up Amazon Electronics

Activate the Amazon Code

When setting up an Amazon gadget, like a Fire TV, Echo, or Kindle, you will usually be prompted to enter a code. 

How to Activate a Device

Configuration Device:

Turn on your gadget by plugging it in.

Until a code appears, follow the on-screen setup instructions.

Put in the code:

On your PC or mobile device, go to the given URL (often https://amzoncode.com/).

If prompted, sign into your Amazon account.

To finish the activation process, enter the code that appears on your smartphone.

For instance:

Fire TV: A code will show up on your TV screen after you connect to Wi-Fi. To connect your Fire TV to your Amazon account, enter this code at www.amazon.com/code.

Chapter 5: Apple Watch Code on Amazon 

Apple Watch with Amazon Services Integration

You may increase your convenience by using Amazon services on your Apple Watch, which lets you use Amazon features right from your wrist.

Configuring Apple Watch with Amazon

Install the app:

To pair your Apple Watch and iPhone, install the Amazon app on your iPhone.

Sign in:

Using your Amazon login credentials, launch the app on your iPhone.

Linking up with an Apple Watch:

On your iPhone, launch the Apple Watch app.

From the list of amazon code apply available apps, locate the Amazon app and turn it on.

Put the activation code in here:

If your iPhone asks for an activation code, enter it as directed.

This enables easy use of Amazon services by connecting your Apple Watch and Amazon account.

Using Apple Watch with Amazon:

Shopping: Use your Apple Watch to browse and buy products straight from the device.

Get notifications on the status of your orders and about special offers.

Voice Commands: To use Amazon services, such as adding goods to your cart or monitoring delivery statuses, use Siri.

In summary

Using Amazon coupons is a great way to take advantage of all of the company's services and goods. The ability to use discount codes wisely can improve your experience, whether you're a developer utilizing Amazon CodeArtifact, an Alexa user configurin

g your smart home, or a consumer trying to save money on purchases. To get the most out of your Amazon experience, adhere to the instructions provided in this article.

Cheers to using Amazon for development, streaming, and purchasing! 

[jcmarchi]

Anthropic’s New Claude Models Bridge the Gap Between AI Power and Practicality

New Post has been published on https://thedigitalinsider.com/anthropics-new-claude-models-bridge-the-gap-between-ai-power-and-practicality/

Anthropic’s New Claude Models Bridge the Gap Between AI Power and Practicality

Anthropic has recently unveiled major updates to its Claude AI model family. The announcement introduced an enhanced version of Claude 3.5 Sonnet and debuted a new Claude 3.5 Haiku model, marking substantial progress in both performance capabilities and cost efficiency.

The release represents a strategic advancement in the AI landscape, particularly notable for its improvements in programming capabilities and logical reasoning. While companies across the sector continue to push the boundaries of AI development, Anthropic’s latest release stands out.

Performance Breakthroughs

The enhanced models demonstrate remarkable improvements across multiple benchmarks, with the new Haiku model achieving particularly noteworthy results. In programming tasks, the updated Sonnet model’s performance on the SWE Bench Verified Test increased to 49.0%, setting a new standard for publicly available models, including specialized programming systems.

Cost efficiency emerges as a crucial aspect of these developments. The new Haiku model delivers performance comparable to the previous flagship Claude 3 Opus while maintaining significantly lower operational costs. With pricing set at $1 per million input tokens and $5 per million output tokens, organizations can optimize their AI implementations through features like prompt caching and batch processing.

Benchmark improvements extend beyond programming capabilities. The models show enhanced performance in areas such as general language comprehension and logical reasoning. On the TAU Bench, which evaluates tool use capabilities, Sonnet demonstrated substantial improvements across different sectors, including a notable increase from 62.6% to 69.2% in retail applications.

These advancements suggest a shifting paradigm in AI development, where high-performance capabilities no longer necessarily correlate with prohibitive costs. This democratization of advanced AI capabilities could have far-reaching implications for businesses and developers looking to implement AI solutions.

Source: Anthropic

Computer Interaction

Rather than developing narrow, task-specific tools, the company has taken a broader approach by equipping Claude with generalized computer skills. This innovation enables AI models to interact with standard software interfaces originally designed for human users.

The cornerstone of this advancement is a new API that allows Claude to perceive and manipulate computer interfaces directly. This system empowers the AI to perform actions like mouse movement, element selection, and text input through a virtual keyboard. The technology represents a step toward more intuitive human-AI collaboration, enabling the translation of natural language instructions into concrete computer actions.

However, current capabilities show both promise and limitations. While Claude 3.5 Sonnet achieved a 14.9% score in the OSWorld benchmark’s “screenshots only” category—nearly double the next best AI system—this performance still indicates significant room for improvement compared to human capabilities. Basic actions that humans perform instinctively, such as scrolling and zooming, remain challenging for the AI system.

Market Impact and Applications

The business implications of these developments extend across multiple sectors. Organizations can now access advanced AI capabilities at more manageable cost points, potentially accelerating AI adoption across industries. The improved programming capabilities particularly benefit software development teams, while the enhanced language comprehension offers advantages for customer service and content generation applications.

In terms of industry positioning, Anthropic’s approach distinguishes itself through its focus on practical applicability and cost-effectiveness. The combination of improved performance metrics and reasonable operational costs positions these models as viable solutions for both large enterprises and smaller organizations exploring AI implementation.

Practical applications span various use cases:

Software Development: Enhanced code generation and debugging capabilities

Customer Service: More sophisticated chatbot interactions

Data Analysis: Improved logical reasoning for complex data interpretation

Business Process Automation: Direct computer interface manipulation for routine tasks

The accessibility of these advanced features, particularly through major cloud platforms like Amazon Bedrock and Google Cloud’s Vertex AI, simplifies integration for organizations already utilizing these services. This broad availability, combined with flexible pricing models, suggests a potential acceleration in enterprise AI adoption.

Looking Ahead

The release of these enhanced models represents more than just incremental improvements in AI technology. It signals a future where AI systems can more naturally integrate with existing computer systems and workflows. While current limitations exist, particularly in human-like computer interactions, the foundation has been laid for continued advancement in this direction.

Anthropic’s cautious approach to implementation, recommending developers begin with low-risk tasks, demonstrates an understanding of both the technology’s potential and its current constraints. This measured stance, combined with transparent performance metrics, helps set realistic expectations for organizational adoption.

The development roadmap implications are significant. With knowledge cutoff dates extending to July 2024 for the Haiku model, we’re seeing a trend toward more current and relevant AI systems. This progression suggests future iterations may further narrow the gap between AI knowledge bases and real-time information needs.

Key considerations for future developments include:

Continued refinement of computer interaction capabilities

Further optimization of the performance-to-cost ratio

Enhanced integration with existing business systems

Expanded applications across new sectors and use cases

The Bottom Line

Anthropic’s latest releases mark a significant milestone in the evolution of AI technology, striking a crucial balance between advanced capabilities and practical implementation considerations. While challenges remain in achieving human-like computer interactions, the combination of improved performance metrics, innovative features, and accessible pricing models establishes a foundation for transformative applications across industries, potentially reshaping how organizations approach AI implementation in their daily operations.

[truebusiness]

Exploring Quantum Leap Sort: A Conceptual Dive into Probabilistic Sorting Created Using AI

In the vast realm of sorting algorithms, where QuickSort, MergeSort, and HeapSort reign supreme, introducing a completely new approach is no small feat. Today, we’ll delve into a purely theoretical concept—Quantum Leap Sort—an imaginative algorithm created using AI that draws inspiration from quantum mechanics and probabilistic computing. While not practical for real-world use, this novel…

[habilelabs]

This blog will explore the RAG framework and its benefits. Let's know the key role of AWS and AI services including Amazon Bedrock and Amazon ElastiCache Redis.

[vlruso]

Use no-code machine learning to derive insights from product reviews using Amazon SageMaker Canvas sentiment analysis and text analysis models

Exciting news! 🎉 Want to use machine learning to gain insights from product reviews without any coding or ML expertise? Check out this step-by-step guide on how to leverage Amazon SageMaker Canvas sentiment analysis and text analysis models. 🤩 According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. With machine learning, you can analyze large volumes of customer reviews and uncover valuable insights to improve your products and services. 💡 Amazon SageMaker Canvas offers ready-to-use AI models for sentiment analysis and text analysis of product reviews, eliminating the need for ML specialists. In this blog post, we provide sample datasets and walk you through the process of leveraging these models. 📈 Elevate your company with AI and stay competitive. Don't miss out on this opportunity to derive insights from product reviews. Check out the blog post here: [Link](https://ift.tt/tRcfO83) Stay updated on AI and ML trends by following Itinai on Twitter @itinaicom. And for a free consultation, join our AI Lab in Telegram @aiscrumbot. 🚀 #AI #MachineLearning #AmazonSageMakerCanvas #ProductReviews #Insights List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom

[palkerekfy]

Nagy sikere van a ChatGPT-nek, sokan használják különféle kérdések megválaszolására, és többnyire jó válaszokat ad. Programozók is szeretik, mert jól és gyorsan kódol.

Az Amazon jogászai viszont aggódnak, ...

[lifes-commotion]

It's Cyber Monday!

It’s Cyber Monday!

Hello all and Happy Holidays! I hope that you had a very Happy and Blessed Thanksgiving.  Are you all gearing up for Christmas now?  Do you have your tree up yet?  This year, we’ve opted not to do a Christmas tree.  Our daughter is a wise one and said that it’s been stressful the past couple years and we should just find something simpler to do.  She’s an adult that loves Christmas as much as I…

[mostlysignssomeportents]

A year in illustration, 2023 edition (part two)

(This is part two; part one is here.)

The West Midlands Police were kind enough to upload a high-rez of their surveillance camera control room to Flickr under a CC license (they've since deleted it), and it was the perfect frame for dozens of repeating clown images with HAL9000 red noses. This worked out great. The clown face is from a 1940s ad for novelty masks.

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

I spent an absurd amount of time transforming a photo I took of three pinball machines into union-busting themed tables, pulling in a bunch of images from old Soviet propaganda art. An editorial cartoon of Teddy Roosevelt with his big stick takes center stage, while a NLRB General Counsel Jennifer Abruzzo's official portrait presides over the scene. I hand-made the eight-segment TILT displays.

https://pluralistic.net/2023/09/06/goons-ginks-and-company-finks/#if-blood-be-the-price-of-your-cursed-wealth

Working with the highest-possible rez sources makes all the difference in the world. Syvwlch's extremely high-rez paint-scraper is a gift to people writing about web-scraping, and the Matrix code waterfall mapped onto it like butter.

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

This old TWA ad depicting a young man eagerly pitching an older man has incredible body-language – so much so that when I replaced their heads with raw meat, the intent and character remained intact. I often struggle for background to put behind images like this, but high-rez currency imagery, with the blown up intaglio, crushes it.

https://pluralistic.net/2023/10/04/dont-let-your-meat-loaf/#meaty-beaty-big-and-bouncy

I transposed Photoshop instructions for turning a face into a zombie into Gimp instructions to make Zombie Uncle Sam. The guy looking at his watch kills me. He's from an old magazine illustration about radio broadcasting. What a face!

https://pluralistic.net/2023/10/18/the-people-no/#tell-ya-what-i-want-what-i-really-really-want

The mansplaining guy from the TWA ad is back, but this time he's telling a whopper. It took so much work to give him that Pinnocchio nose. Clearly, he's lying about capitalism, hence the Atlas Shrugged cover. Bosch's "Garden of Earthly Delights" makes for an excellent, public domain hellscape fit for a nonconensual pitch about the miracle of capitalism.

https://pluralistic.net/2023/10/27/six-sells/#youre-holding-it-wrong

There's no better image for stories about techbros scamming rubes than Bosch's 'The Conjurer.' Throw in Jeff Bezos's head and an Amazon logo and you're off to the races. I boobytrapped this image by adding as many fingers as I could fit onto each of these figures in the hopes that someone could falsely accuse me of AI-generating this. No one did.

https://pluralistic.net/2023/11/06/attention-rents/#consumer-welfare-queens

Once again, it's Bosch to the rescue. Slap a different smiley-face emoji on each of the tormented figures in 'Garden of Earthly Delights' and you've got a perfect metaphor for the 'brand safety' problem of hard news dying online because brands don't want to be associated with unpleasant things, and the news is very unpleasant indeed.

https://pluralistic.net/2023/11/11/ad-jacency/#brand-safety

I really struggle to come up with images for my linkdump posts. I'm running out of ways to illustrate assortments and varieties. I got to noodling with a Kellogg's mini-cereal variety pack and I realized it was the perfect place for a vicious gorilla image I'd just found online in a WWI propaganda poster headed 'Destroy This Mad Brute.' I put so many fake AI tells in this one – extra pupils, extra fingers, a super-AI-esque Kellogg's logo.

https://pluralistic.net/2023/11/05/variegated/#nein

Bloodletting is the perfect metaphor for using rate-hikes to fight inflation. A vintage image of the Treasury, spattered with blood, makes a great backdrop. For the foreground, a medieval woodcut of bloodletting quacks – give one the head of Larry Summers, the other, Jerome Powell. For the patient, use Uncle Sam's head.

https://pluralistic.net/2023/11/20/bloodletting/#inflated-ego

I killed a long videoconference call slicing up an old pulp cover showing a killer robot zapping a couple of shrunken people in bell-jars. It was the ideal image to illustrate Big Tech's enshittification, especially when it was decorated with some classic tech slogans.

https://pluralistic.net/2023/11/22/who-wins-the-argument/#corporations-are-people-my-friend

There's something meditative about manually cutting out Tenniel engravings from Alice – the Jabberwock was insane. But it was worth it for this Tron-inflected illustration using a distorted Cartesian grid to display the enormous difference between e/acc and AI doomers, and everyone else in the world.

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

Multilayer source images for your remixing pleasure:

Scientist in chemlabhttps://craphound.com/images/scientist-in-chem-lab.psd

Humpty Dumpty and the millionaires https://craphound.com/images/humpty-dumpty-and-the-millionaires.psd

Demon summoning https://craphound.com/images/demon-summoning.psd

Killer Robot and People in Bell Jars https://craphound.com/images/killer-robot-and-bell-jars.psd

TWA mansplainer https://craphound.com/images/twa-mansplainer.psd

Impatient boss https://craphound.com/images/impatient-boss.psd

Destroy This Mad Brute https://craphound.com/images/destroy-this-mad-brute.psd

(Images: Heinz Bunse, West Midlands Police, Christopher Sessums, CC BY-SA 2.0; Mike Mozart, Jesse Wagstaff, Stephen Drake, Steve Jurvetson, syvwlch, Doc Searls, https://www.flickr.com/photos/mosaic36/14231376315, Chatham House, CC BY 2.0; Cryteria, CC BY 3.0; Mr. Kjetil Ree, Trevor Parscal, Rama, “Soldiers of Russia” Cultural Center, Russian Airborne Troops Press Service, CC BY-SA 3.0; Raimond Spekking, CC BY 4.0; Drahtlos, CC BY-SA 4.0; Eugen Rochko, Affero; modified)

[ohmenai]

The Game of the Jungle

I'm a hunter of forbidden moments, those split-seconds that make one's pulse race and cause you to forget to breathe. On my last trip, I ventured deep into the Amazon jungle with my OhMenFlex, slipping through the foliage, trying to capture the raw essence of desire. Just when I was about to give up, in front of me appeared an Amazonian Adonis, one I did not expect to fit into my visual frame for today.

His long hair tied in braids that suggested a wild delicacy. Tauro's gaze was a challenge, a blaze of assertive passion that pierced straight into my libido. The beard and mustache, perfectly unkempt, framed lips that, I swear, were the epitome of perfection in this imperfect world.

His trapezius muscles stood out like mountains on a map of pleasure, and every spiral tattoo that adorned his shoulders seemed like a mandala that took you to erotic meditation. His nipples, hairless and brown, promised a taste of pure masculinity. The man's arms, veiny and strong, could hold the world or pin you against the wall; frankly, at that moment, I preferred the latter. The prominent belly, adorned with a hairy navel, spoke of the strength of a man without worries, while his forearms showed tattoos that told stories of courage and passion.

I was ready to capture in detail every sensation of this encounter. His cock, a fat and powerful column, with dark veins that coursed its length like rivers of life topped with a juicy and swollen bud, promised an explosion of flavor just thinking about it. And the foreskin, that muscular ring that guarded the most intimate treasure, suggested a game of discovery and surrender. His balls, heavy and full, were a pair of fruits ready to crush my sense of decorum with their mere presence. The touch of his skin, rough and at the same time soft, was a canvas of sensations that were etched in memory forever. The manly scent emanating from his crotch was a call of nature, a reminder that there lay what any ambitious ass would dream of devouring.

Among grunts and hot glances, Tauro redefined the concept of male. In the end, with a brazen gesture, he lifted his cock and winked at me, as if inviting me to the oldest game in the world. Here, the heat was more than tropical; it was a feast of pheromones screaming for a moment of eternity.

Now at Fanvue and Patreon

[fuckyeaharthuriana]

I cracked the code

of King Arthur cheap animated movies! I think these should be the correct names/dates/covers.

First of all:

The top one called "König Arthur und die Ritter von Camelot" which has a very similar image for "Quest for Camelot"?

This is just used sometimes at random, but it usually refers to that image that says "Merlin" (circled in blue).

Both those covers all refer to this 1998 animated movie called "Camelot" which is about young Arthur being mentored by Merlin and then going on adventures with Cynthia, Merlin's apprentice, and finally becoming king. How do I know? I bought that "König Arthur und die Ritter von Camelot" on amazon, and it was the same as "Camelot 1998", which has the same cover as that "Merlin" cartoon. This movie is also sometimes identified as from 2008, but no Camelot movie exists from 2008.

This is the imdb page.

Let's continue.

Now, I said that the first picture is sometimes ambiguous, why?

Well, it is sometimes used with a different title and for another movie from 1998 called "The Sword of Camelot" by Dingo pictures. This movie is an ABOMINATION. It is this one. It is basically Merlin narrating in live action and some animation in between (mainly Arthur, Mordred, the holy grail). Mordred is definitely drawn in anti semitic way, and in general the whole animation is atrocious.

Here are the covers you can see if you are looking for this movie:

Keep in mind the art used in these covers looks NOTHING like what is in the movie. Furthermore the covers have events and characters that have nothing to do with the movie at all (the two kids with the dragon? no those are not in the movie).

This movie seems to simply steal other movies' covers. So be careful. If you see a translation of "The sword of Camelot" it is this abomination. Why using this title with random art? Well, that is the German title for the much more popular "Quest for Camelot" and the art was often used as a way to clearly trick people into thinking it would be something similar to that.

This is the imdb page.

Let's move to the next one. In 1998 there were two other animated movies about King Arthur.

One is "Camelot, 1998" which is probably the best one in the lot. It is a musical animated movie that follows the life of Arthur from his teen years to his death. This is the imbd page.

The covers for this one are pretty consistent and always use this picture:

The second 1998 movie is called "Camelot: The legend" and is a bit more goofy. It has an adult Arthur travelling to a council with Guinevere and Mordred, and meeting Lancelot. Mordred is the classic villain.

The covers are similar to the previous movie, but usually less cartoony:

To conclude, the animated king Arthur movies are only these (I highlighted the ones I talked about in this post):

1963 Sword in the Stone

1970 A Connecticut Yankee in King Arthur’s Court

1978 A Connecticut Rabbit in King’s Arthur Court

1990 Ai to Ken no Camelot

1998 Quest for Camelot

1998 Camelot (with kid Arthur and Merlin, sometimes labelled 2008)

1998 Camelot (musical animated movie, adult Arthur, to distinguish I use Camelot 1999 tag on this blog, as I used to think it was from 1999 in my dvd)

1998 Camelot: The Legend

1998 The Sword of Camelot (don't watch this)

2010 Merlin and Arthur the lion King

2020 Fate/Grand Order THE MOVIE -Divine Realm of the Round Table (two parts)

2020 Red Shoes and the Seven Dwarfs

2021 Scooby-Doo! The Sword and the Scoob

[jcmarchi]

Supercharging Operations with AI for Faster Success

New Post has been published on https://thedigitalinsider.com/supercharging-operations-with-ai-for-faster-success/

Supercharging Operations with AI for Faster Success

Efficiency isn’t just a competitive advantage anymore—it’s a business imperative. Achieving operational excellence means more than adopting new tools; it requires a complete rethinking of how operations are run. That’s where artificial intelligence comes in.

AI isn’t simply automating routine tasks; it’s transforming how businesses forecast demand, manage supply chains, make data-driven decisions, and respond to real-time challenges. AI is also transforming how teams operate by reducing the burden of repetitive or manual tasks and reducing guesswork so employees can focus attention on high-value projects requiring human intelligence.

But what does this mean for companies looking to scale, cut costs, and stay ahead of market demands? It means AI isn’t just automating tasks or incremental improvements—it’s rethinking how businesses operate at every level, driving smarter, faster, and more efficient operations.

AI as the Silent Partner in Operational Efficiency

Imagine this: you’re running a transportation and logistics company. Typically, you would need teams of engineers constantly monitoring inventory, streamlining routes, anticipating breakdowns, and figuring out when maintenance is needed. But now, with AI-driven predictive precision, freight demand can be accurately forecasted and planned for, resulting in optimized routes, load efficiencies, fuel savings, and more. In one case, an AI-powered freight forecasting solution helped a global transportation company achieve 95% accuracy in freight demand forecasting, enhancing their load efficiency and reducing empty mile runs by 30%.

In financial services, AI is revolutionizing fraud detection. AI systems can sift through millions of transactions, identifying anomalies in seconds—a task that would take human analysts days or even weeks. These AI-powered systems not only catch anomalies more quickly and accurately but also continuously learn from new patterns of fraud, enhancing their effectiveness over time. By automating this critical task, companies can both reduce fraud-related losses and allow their teams to focus on higher-value strategic initiatives.

AI’s Role in Team Operations

AI is not about automating simple tasks or replacing jobs—successful GenAI improves processes like forecasting, route planning, employee engagement, and customer interactions to help teams operate their daily tasks more efficiently and intelligently while freeing up space to focus on higher-value initiatives.

A good example is customer service. With the rise of AI-powered chatbots, businesses can now handle thousands of customer interactions simultaneously. Yet, these bots are not replacing human agents—they’re augmenting them. The bots handle simple queries, while the more complex problems get escalated to human teams, who now have the bandwidth to provide a more personalized, high-value service. Gartner estimates that AI could reduce call center workloads by up to 70% while also improving customer satisfaction by allowing human agents to focus on the harder-to-solve cases.

As a result, AI customer service agents are expected to reduce labor costs by $80 billion by 2026. But this technology isn’t about cost-cutting alone; it’s about smarter operations. AI enables businesses to adapt faster, scale efficiently, and focus human talent where it’s most impactful—on creative problem-solving, strategy, and relationship building. By leveraging AI in this way, companies are achieving greater agility in today’s competitive market, transforming their operations into systems that can predict, respond, and improve continuously.

Real-World Success: Companies That Are Getting It Right

So, who’s leading the charge? Several companies are creatively using AI to transform their operations and stand out in their industries.

Let’s look at Amazon. Their warehouses are famously AI-driven, with robots autonomously moving goods across facilities, optimizing storage and reducing human error. Yet, even with all this automation, Amazon continues to employ a large workforce—showing that AI can complement human capabilities rather than replace them entirely.

Shell is a successful example of AI-enabled process reengineering. They redesigned their energy facilities to incorporate AI drones into inspection and maintenance tasks. This shift not only reduced cycle times at large plants and wind farms, it allowed human inspectors to focus on more critical facility issues and use data analytics to inform their decision-making.

In ecommerce, Klarna is leveraging GenAI to reimagine its customer experiences and optimize operational workflows. Kiki, their AI-powered coding assistant, is being integrated across customer support, internal operations,and financial forecasting and is already being used by 90% of their workforce. In addition to managing higher customer volumes with quicker response times and improved resolution accuracy, AI is allowing Klarna to innovate at scale. Operational efficiency for day-to-day processes is driving new opportunities for growth as they focus attention on building out new CRM and HR capabilities with GenAI.

These companies aren’t just using AI for basic automation—they’re rethinking their operations from the ground up. By leveraging AI to solve complex challenges, they’re pushing the boundaries of what’s possible, proving that with the right strategy, AI can be both a creative and transformative tool.

Practical Takeaways for Organizations

If your company is considering implementing AI into its operations, the key is to start small but think big.

Start with a clear problem: Don’t aim to overhaul everything overnight. Instead, identify the areas where AI can provide the most value, whether it’s in streamlining workflows, reducing overhead, or improving decision-making. AI works best when it’s solving specific, pain-point issues that slow a company’s growth.

Build a high-quality human process: Identify or iterate on the process to get it to a well-defined point. This process will need to be broken down and then automated in small parts.

Solve for quality first and then lower cost: Focus on picking the best quality model, solving for high-fidelity solutions, and then looking at lower-cost alternatives. This approach will allow you to test feasibility first.

Leverage your human intelligence: ensure in-house operational subject matter experts work very closely to iterate and improve the output of the model. This can be done in multiple ways (a) QA & testing model output, (b) generating SFT data (c) monitoring post-production performance.

Automate parts of the process in an agile way: pick specific parts of the process that are easier to automate. Start with use cases that are high on volume but need to be very accurate e.g., L1 support for customer support. Quick wins will build momentum to scale.

Change management: rather than replacing jobs, AI creates opportunities for employees to move into higher-value roles. Upskill your workforce to work alongside AI, leveraging human creativity where machines fall short like creative problem-solving, contextual decision-making, or emotional intelligence.

By focusing on collaboration between AI and employees, companies can unlock new opportunities. They can use AI to enhance—not replace—their workforce. This approach positions employees for strategic roles while AI handles repetitive tasks, creating a win-win scenario for efficiency and human capital development.

Looking Ahead

AI isn’t a one-size-fits-all solution, but it’s clear that its role in operations will only grow. Companies that leverage it effectively will be able to scale faster, make smarter decisions, and ultimately, stay ahead in an increasingly competitive market. The future belongs to those who embrace innovation and aren’t afraid to challenge the status quo.

So, whether you’re just beginning to explore AI or looking to scale its use, remember: the goal isn’t just automation—it’s transformation.

[truebusiness]

The Thrill of Competitive Programming: A Deep Dive into Codeforces, AtCoder, and More

In the realm of software development, competitive programming stands out as a thrilling and intellectually stimulating activity. It challenges programmers to solve complex problems under tight time constraints, fostering skills that are invaluable in both academic and professional settings. This blog delves into the world of competitive programming, exploring its significance, benefits, and the…

[rjzimmerman]

The Carbon Footprint of Amazon, Google, and Facebook Is Growing. (Sierra Club)

Excerpt from this story from Sierra Club:

IN MARCH The Information reported that Microsoft was in talks with OpenAI, the creator of ChatGPT, about spending an eye-popping $100 billion on a gargantuan data center in Wisconsin dedicated to running artificial intelligence software. Code-named “Stargate,” the data center would, at full operation, consume five gigawatts of electricity, enough to power 3.7 million homes. For comparison purposes, that’s roughly the same amount of power produced by Plant Vogtle, the big nuclear power station in Georgia that cost $30 billion to build.

Stargate is in the earliest of planning stages, but the sheer scale of the proposal reflects a truth about artificial intelligence: AI is an energy hog. That’s an embarrassing about-face for the technology industry. For at least 20 years, American electricity consumption has hardly grown at all—owing in part, say computer scientists, to steady advances in energy efficiency that have percolated out of the tech industry into the larger economy. In 2023, according to the US Energy Information Administration, total electricity consumption fell slightly from 2022 levels.

But according to a report published last December by Grid Strategies, a consultancy that advises on energy policy, multiple electric utilities now predict that US energy demand will rise by up to 5 percent over the next five years. One of the chief culprits responsible for the surge, say the utilities, are new data centers designed to run AI. To meet the growing demand for power, those utilities want to build new fossil fuel power plants and to dismantle climate legislation that stands in their way.

For environmentalists, this represents a giant step backward. Artificial intelligence was supposed to help us solve problems. What good are ChatGPT and its ilk if using them worsens global warming?

This is a relatively new story—the AI gold rush is still in its infancy, ChatGPT only having debuted in fall 2022. But computing’s energy demands have been growing for decades, ever since the internet became an indispensable part of daily life. Every Zoom call, Netflix binge, Google search, YouTube video, and TikTok dance is processed in a windowless, warehouse-like building filled with thousands of pieces of computer hardware. These data centers are where the internet happens, the physical manifestation of the so-called cloud—perhaps as far away from ethereality as you can get.

In the popular mind, the cloud is often thought of in the simple sense of storage. This is where we back up our photos, our videos, our Google Docs. But that’s just a small slice of it: For the past 20 years, computation itself has increasingly been outsourced to data centers. Corporations, governments, research institutions, and others have discovered that it is cheaper and more efficient to rent computing services from Big Tech.

The crucial point, writes anthropologist Steven Gonzalez Monserrate in his case study The Cloud Is Material: On the Environmental Impacts of Computation and Data Storage, is that “heat is the waste product of computation.” Data centers consume so much energy because computer chips produce large amounts of heat. Roughly 40 percent of a data center’s electricity bill is the result of just keeping things cool. And the new generation of AI software is far more processor intensive and power hungry than just about anything—with the notable exception of cryptocurrency—that has come before.

The energy cost of AI and its perverse, climate-unfriendly incentives for electric utilities are a gut check for a tech industry that likes to think of itself as changing the world for the better. Michelle Solomon, an analyst at the nonprofit think tank Energy Innovation, calls the AI power crunch “a litmus test” for a society threatened by climate change.

[khashanakalashtar]

Masterpost of AO3 Skins

Email

Nonspecific email window by La_Temperanza

Basic Gmail by sunsetcurbed

 Texting

You don’t need to code iOS, because 221b_ee made a generator for it

inspired by iOS by CodenameCarrot and La_Temperanza

Another version of iOS iMessage by Azdaema Codes

Retro iOS by Azdaema Codes

iOS, Android by gadaursan

iOS, Signal, and WhatsApp by lordvoldemortsskins

WhatsApp by ran_a_dom

kakaotalk by beherrscht

LINE chat by ran_a_dom

 Social Media

Facebook Messenger by ran_a_dom

Tumblr by phyripo

Tweaks to that by Aposeopesis

Instagram by gadaursan

Instagram DMs by xslytherclawx

More Instagram DMs, including light and dark modes, by monarch_v

Incredibly comprehensive Twitter by gadaursan

More Twitter by starskin

Twitter, Reddit, and LiveJournal by aerynevenstar

Examples

Twitter mockup inspired by aerynevenstar by TheBrookesNook

Reddit by spookedcroon

More Reddit by knave_of_swords

Yet more Reddit (2020 version) by timstokerlovebot

SnapChat by Azdaema Codes

More SnapChat by starskin

Twitch Chat by Ultraviollett

4Chan by anonymous (cw: slurs and discussion of pedophilia in the live example)

Amazing Discord by unpredictableArtist

Another Discord by Heterochromia_Mars

Tweaks by junietuesday25

Unspecified forum by fencesit

 Writing

Notebook Lined Paper by La_Temperanza

Post-It Notes by La_Temperanza

Letters and Stationery by La_Temperanza

With parchment backgrounds by allollipoppins (you can leave off the MDZS symbols)

Online newspaper article by ElectricAlice

Example

Simplified newspaper by Anubis_2701

Newspaper Article by lordvoldemortsskin

More documents by hangingfire

Online journal by enigmalea

Screenplay by astronought

Script or screenplay by Ninjabunny99

Screenplay on an actual piece of paper by junietuesday25

 AO3

AO3, including comment section by lordvoldemortsskin

AO3 header by ElectricAlice

Comment and Kudos buttons by La_Temperanza

 Fandom Specific

Disco Elysium by SarunoHadaki

Blaseball by facingthenorthwind

Fire Emblem by gadaursan

  Tweaks by Clover_Zero

Deadpool’s Thinking Boxes by La_Temperanza

Homestuck extended by unpredictableArtist

Star Trek PADD by duskyspirit

Example

Incredibly expansive Among Us by Umbry2000

Another Among Us by mystyrust

S-Class by unpredictableArtist

IDOLiSH7 Rabbit Chat by associate

A3! LIME by associate

Runescape by fennfics

Nameless: the one thing you must recall by sqbr

Minecraft by Ultraviollett

 Other

Wikipedia by styletests

Scoreboard by revanchist

Google search by gadaursan

Yelp reviews by kiwiana

Amazon reviews by kiwiana

Silent film intertitles by Kitsune_Scribe

Zoom chat by mystyrust

Replika AI chatbot by FaeriMagic

Most can be found in the collections (also check the bookmarks) A Guide to Coding and Fanworks, AO3 Useful Workskins, and/or AO3 Social Media Workskins. If you’ve written a skin, add it to these collections!

[collapsedsquid]

That's according to Amazon Web Services' CEO, Matt Garman, who shared his thoughts on the topic during an internal fireside chat held in June, according to a recording of the meeting obtained by Business Insider. "If you go forward 24 months from now, or some amount of time — I can't exactly predict where it is — it's possible that most developers are not coding," said Garman, who became AWS's CEO in June. "Coding is just kind of like the language that we talk to computers. It's not necessarily the skill in and of itself," the executive said. "The skill in and of itself is like, how do I innovate? How do I go build something that's interesting for my end users to use?" This means the job of a software developer will change, Garman said. "It just means that each of us has to get more in tune with what our customers need and what the actual end thing is that we're going to try to go build, because that's going to be more and more of what the work is as opposed to sitting down and actually writing code," he said.

Surely getting information from customers is the real task for AI, along with conducting internal fireside chats