#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! 

[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, ...

[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)

[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

[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.

[jcmarchi]

Building Better in the Cloud: Why the Time Is Now

New Post has been published on https://thedigitalinsider.com/building-better-in-the-cloud-why-the-time-is-now/

Building Better in the Cloud: Why the Time Is Now

Massive cloud investment continues worldwide, with Gartner predicting public cloud spending to reach an eye-popping $1 trillion by 2027. This number is growing significantly as companies invest more in generative AI, as GenAI initiatives require a lot of cloud capacity.

And yet, many organizations still struggle to maximize the value of their cloud investments. Cloud waste is a rampant problem; it’s estimated that anywhere from 28-35% of cloud spend is wasted. It’s little wonder, then, that a recent CloudZero survey found that 72% of respondents said their cloud costs were either “too high” or “way too high.”

How do you get the most bang for your buck? It starts with taking a different approach to how you think about and use the cloud.

The cloud waste problem

The right mindset involves veering away from the “lift and shift” mentality of just taking existing resources and moving them into the cloud. Cloud waste stems largely from this antiquated mindset, which treats cloud infrastructure like traditional infrastructure.

The consumption and management of cloud infrastructure has little in common with traditional infrastructure. Before the cloud, companies invested heavily in data centers and servers, spending outsized sums of money on the infrastructure they thought they’d need to process the demand they expected to generate. The process was: Product teams proposed some innovation, predicted demand, and made formal requests to IT procurement teams for the infrastructure they expected to need. The procurement team could approve, deny, or modify the request, and months later, the product teams might have the infrastructure they’d need to execute the innovation.

Companies often bought more infrastructure than they ended up using, and found themselves sitting on servers that weren’t generating any value. Virtualization promised to even this balance, but over-provisioning and under-utilization continued to be a challenge. And while the cloud has introduced endless possibilities through a diverse set of infrastructure, database, and platform services and a consumption-driven utility model, many companies still manage it like a collection of physical virtual machines.

Procurement and finance teams used to be involved in every infrastructure purchase. Now, in the cloud, infrastructure consumption happens instantly, whenever an engineer spins up a new cloud resource or writes a line of code that consumes those resources. The purchase moment has changed entirely: In the cloud, every engineering (building) decision is a buying decision. Engineers — not finance leaders or centralized IT teams — are directly spending the company’s technology budget.

So, when companies pin cloud costs on finance teams or centralized IT teams, they miss the mark. Engineers make building decisions based on engineering expertise — expertise that other teams don’t have. Finance teams can make bulk purchases or optimized committed use discounts, but you do not want them distinguishing between the use of a m7g.2xlarge and a m7gd.metal. IT teams are great at finding underutilized resources, but they are not in the best position to understand if the code running on a highly utilized resource is healthy or not. In the cloud, buying better only gets you so far.

For a long time, engineers have lacked the financial insight to make cost-efficient building decisions in the cloud, leading to a torrent of cloud waste annually. A recent survey by CloudZero found that companies that implement formal cloud cost management programs tend to reduce their annual cloud spending by 20-30%. Given that 61% of companies don’t have formalized programs, this means that when cloud spending hits $1 trillion in 2027, as much as $122–183 billion of that could be wasted.

This needs to change. Companies need to realize that cloud infrastructure is entirely different from traditional infrastructure, and that cloud cost management requires a completely new approach. We need to shift away from buying better to building better: equipping engineers to take ownership of their own cloud costs, and, as Amazon CTO Werner Vogels put it in The Frugal Architect, “make cost a non-functional requirement” of great software.

Time to build better in the cloud vs. buying better

Building better is an engineering philosophy rather than a financial paradigm. “Building” refers to every architecture, coding, or operations decision engineers make in the process of developing a product and bringing it to market.

Until recently, there hasn’t been a way to grasp the true cost of such decisions, and organizations weren’t very invested in finding out. The mindset of buying better comes from a reactive desire to reduce costs, whereas the mindset of building better is all about developing and running efficient software.

Benefits of building better

Engaged engineers. The data suggests that when engineers are equipped to manage their own costs, they do — and that companies perform better. In that same survey, 81% of companies said cloud costs are “about where they should be” when engineers had some level of ownership over cloud costs. Focusing on building better means focusing squarely on engineering engagement: giving engineers relevant, timely data about their cloud infrastructure costs, and making it easy to track efficiency gains.

Improved finance-engineering relations. When companies focus on building better, it allows finance and engineering teams to focus on their respective specialties. Engineers weigh the factors that go into well-architected software; finance teams get regular, detailed reports about the cost efficiency of that software. The friction between the teams is reduced, and overall productivity improves.

Unit economic clarity. Giving engineers meaningful cost data means ingesting all spend data (beyond just the hyperscalers to include platform services, database services, observability tools, etc.) and allocating it in a framework that mirrors the company’s business. Such robust allocation yields the material for cloud unit economics: assessing profitable and unprofitable products, features, and customers, understanding fixed versus variable costs and the relationships to margins, and refining your GTM strategy based on this data. Cloud unit economics is the holy grail of cloud financial operations (FinOps) — and the mark of a truly cloud efficient organization.

It’s time to build better

 More and more organizations feel that they’re getting too little return on their cloud investments. By switching from a buying better to a building better approach, organizations gauge their approach to the true nature of the cloud, producing better engineering engagement, improved relations between finance and engineering teams, and stronger unit economics.

[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…

[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

[alas9]

✨ 📖 ✏️ studyblr masterpost jam ✏️ 📖 ✨ Day #6 as an independent game designer maybe?

I used to be quite extra in my 20s. I was very immersed in the world of gamer gear and stationery products, I bought too many pink peripherals for the computer and I had several pencil cases full of colored fibers. I feel that getting into the world of development has helped me refine the consumer in me a little, and taught me to be more organized and practical. Since development involves many hours of purely mental work, I make sure I have sheets and pens close to me to capture anything that comes to mind, and I try not to have my desk too full of things to avoid distractions. These are my main items that I always have in my desk and backpack.

Keyboard 60%

Mine is relatively old, it is an Anne Pro 2. As it is quite common in the world of custom keyboards, it is easy to get keycaps for it. For example, I bought it to put Keycaps in Cyrillic when I was actively studying Russian. I bought this one on amazon.

Plastic Paper Containers

I am very fond of writing by hand to develop and organize ideas, so I fill myself with papers. I'm addicted to organizers, cleaning my study and work space is something that overwhelms me a lot, and paper collects a lot of dust, so these containers save you space and hours of cleaning. It also helps to separate papers by subject, in the image I have the folders that I use for development and on the other side for Japanese.

Basic Planner

When I was a fine arts student I was very into journaling. Something that became extremely impractical for me as time went by. Today I have a planner with all the same sheets with space for the date and tasks only. It is necessarily flexible and necessarily pre-fabricated to fulfill its function.

Smart notebook with squared sheets

I always try to have squared sheets to study languages, because I feel that they help a lot to improve writing when you use more complex systems such as hiragana, katakana and kanji. They are also more useful for writing programming languages ​​if you want to do written exercises. They are very versatile and it is not paper that goes unused, ever.

Campus University Extra Fine Notebook

This is my war notebook, the one I carry in my backpack because it is light and I use it as a random note pad, whether for studying programming, Japanese, or for ideas for my game. Then when I get home, I organize the information in specific notebooks or the folders that I showed above.

Black Chinese Ink Pens

I narrowed down collections of different markers and pens to just using these. I don't have any other variety. They are the only ones I use for everything.

About programs I use to organize myself and study

Notion (and trello implementation)

Mine is pretty simple and minimalistic. I use it to set my year long tasks, such as x amount of courses I want to do, books I want to read, games I want to play, notes about aeronautics I use on my game, other documentation about other topics I care etc etc. It's nothing I use day by day. I just get there once in a while to check on things I wanted to do in the past weeks everytime I have time to work on something new. I don't use anything digital to organize day by day tasks.

ChatGPT

ChatGPT is always open in my browser. It's a fixed tab actually. I use it for everything, mainly coding.

Midjourney and Gencraft to create assets and sprites

I use them to create temporary assets for my game, since I'm focused on the code only, and to see how things work I put some AI generated visuals in every non profitable project.

Neocities

It's not actually a tool, but I use it mainly to host my web design projects and to share them with other colleagues. I also dive alot in the community websites there to check for ideas and inspiration.

Github as a portfolio

I used to be quite secretive with my projects, because almost all of them, if not all, were directly linked to my work, and by clause I cannot link my personal image to the company, therefore I never shared anything I did. But I recently started using github as a platform to showcase my work and freelance projects, and I've loved it so far. I know that the tool's strength is teamwork through it, but that has not been the case for me so far.

And that's basically all I use and most people also do I guess 🦦

[eatmangoesnekkid]

I just came across your blog, and I both adore and appreciate your work. Do you happen to have a kindle or virtual ebook for purchase? What inspires your works and messaging?

Your words have a lyrical and poetic cadence that not commonplace. Each post offers wisdom for rediscovering womanhood that is both mystical and empowering.

Long story, short, I'm addicted. 💖 I look forward to reading more of your works and offering support where ever possible.

THANK YOU :) 🙏🏿🥰🌻🫀🍃

I'm inspired by real life and true love, passion, intimacy, and raw, vulnerable, uninhibited sexuality and pleasure principles, mystery and quiet, vitality and nourishment, and connection to the physical and energy body (root, sacral, solar, heart..etc) . I'm also inspired by movement, music, travel, beauty, and nature. I have codes and ways of seeing in my system that may be anything from refreshing and heart-opening to conditioning-shattering and DNA repairing.

I have new books that will soon be on amazon in print, kindle, and audio (my voice--no AI--a big lovely work in process) ...although the audio books will come out much later.

I am also opening up an online school and highly-gated online temple space where engage the deeper practical work together (cameras on or off). With temple work, we also will gather live in-person for ceremonial work. Many new thing in the works + life.

Thank you sweetheart for your beautiful words.

-India

[womaneng]

Top 10 generative AI tools for software developers ✨

Generative AI can be used among developers for providing solutions, coding widgets, fixing bugs, and learning as well. Generative AI is considered a cutting-edge field in AI research due to its potential to create high-quality, innovative outputs that can be indistinguishable from human-generated content. 👩🏻‍💻 1. ChatGPT 2. Google Gemini 3. OpenAI Codex 4. AlphaCode 5. GPT-4 6. GitHub Copilot 7. Amazon CodeWhisperer 8. Tabnine 9. CodeWP