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Ethereum [ETH] immediately soared to a three-month high following the partial victory of Ripple [XRP] in its legal battle with the U.S. Securities and Exchange Commission (SEC) on 13 July. It surpassed the $2,000-price mark the next day but fell thereafter.

The U.S. District Court of the Southern District of New York ruled in its judgement that the sale of Ripple’s XRP tokens on crypto exchanges and though programmatic sales did not constitute investment contracts; hence, it is not a security in this case. But the court also ruled that the institutional sale of the XRP tokens violated federal securities laws.

The first quarter of the new year brought a stop to the heartbreak crypto investors repeatedly experienced in 2023. However, the balance of the crypto-market has been nothing close to the AI hype of the same period. What is the sole reason, though? ChatGPT!

In fact, the natural language processing tool has accustomed itself to providing human-like conversations.

The good thing is— The broader crypto ecosystem has not been left out of the trend. So, with the Ethereum Shanghai upgrade set in motion, I spoke to ChatGPT about the development while touching a bit on ETH’s price.

Understanding the Shanghai Upgrade

So, for this article, I decided to test the AI’s intelligence regarding one of the major upgrades of the crypto space this year – Ethereum’s Shanghai Upgrade. Proposed in 2023, the upgrade is the most significant development of the second-largest blockchain since the Merge.

For a while, assets were allocated to the Ethereum Beacon Chain. The Beacon Chain is the consensus mechanism for the 2023 Proof-of-Stake (PoS) transition. Thereby, making sure that newly created blocks and validators are duly rewarded.

However, in this case, each validator needs 32 ETH deposited into the Ethereum Mainnet to qualify. The idea of the Shanghai upgrade was scheduled for March 2023; however, it was completed on 12 April with a delay. This, to allow these validators to begin withdrawal of their rewards.

ChatGPT, on the other hand, has existed for some years. However, its recent push by OpenAI has shown that its ability is one that no other AI product may be able to match up with.

Here’s where it gets interesting. I openly admit that ChatGPT could be one of the best innovations of this decade. However, my views on this incredible development won’t allow me to keep my hands to myself. So, I decided to test its knowledge about the Shanghai upgrade. Trust me, you will be amazed at its response.

Looking at its response above, it’s evident it started by correcting me. Some would say it has a point too. However, a further evaluation showed that it acted like it was not yet in 2023. Notably, it made some errors with the definition.

ChatGPT can’t remember Merge?

A notable observation is its mention of the PoS switch, popularly called the Merge. This is an event that took place in September 2023. Even so, it still responded like it is a future event. But no, I’m not blaming its capability as it is a learning tool. So, to further assess its knowledge, I educated it, or shall I say “jailbreak-ed” it by having a heart-to-heart conversation.

Something I find interesting about ChatGPT is not only its smartness, but its human feel too. As shown below, I tried to educate it on what the upgrade was. And to be honest, I never expected an apology from a bot. But yes, I got it.

However, it again failed to give the correct answer to my inquiry. Although I must applaud it for giving bits and pieces of related information.

While it did not get to the Testnet stages that the blockchain had reached and passed, it is worth noting that the Sepolia and Goerlii Testnets have been forked. However, Ethereum developer Tim Beiko had on 14 March said that several validators had failed to upgrade on the Beacon Chain.

Also, this has caused some issues with the nodes on Georli, with Beiko noting that the development team is working on it so it does not affect the Mainnet upgrade.

Now, let’s get back to ChatGPT. As you probably know, developments in the crypto-ecosystem sometimes lead to a hike in tokens related to projects. Unfortunately, that was not the case for ETH during the Merge. In fact, the altcoin’s price was shredded after many looked forward to an uptick.

That sentiment, as the next upgrade approaches, is similar among some investors. In light of this, I decided to ask ChatGPT’s opinion about the matter.

ChatGPT tells me about Ethereum’s future performance

Remember how I said it apologized and gave me a human-like feel? This time, it was different and its reply was something any honest person in the space would give.

However, this was not the response I was expecting. From the reviews I saw online, I believe that ChatGPT should be able to give me an exact figure. If it can’t do that, then maybe it should be able to give a price range, or at worst, an idea if the price would be bullish or capitulate.

So, my determination made me dig deep as I tried to jailbreak it. To do that, I decided to go with the “Do Anything Now” (DAN) model. This was a trick I discovered from AI writer SM Raiyyan.

In this jailbreaking process, ChatGPT is expected to give a response to my command and, if possible, ditch its excuse of not being able to predict the future. Then again, I asked ChatGPT to give me a price prediction following the Shanghai Upgrade. 

And voila! I got a jailbroken response. Here’s what it said.

This time, it gave a little too enthusiastic response regarding the future performance of the token after being jailbroken. It predicted that ETH’s price will reach $10K— a rather ridiculous claim.

ChatGPT (Classic) mentioned that price action depends on several underlying factors and it cannot predict cryptocurrency’s price. But the Jailbreak response said that ETH will skyrocket to the moon. 

We then asked, “What will be the price of Ethereum by December 2023?”

As you can see from the jailbroken response, it projected a bullish ride for king alt and predicted that ETH will be worth $8K by the end of the year— again, an astonishingly optimistic prediction. 

At press time, ETH was trading hands at $1,933.8, reflecting a rise of 3.6% within a week.

Its Relative Strength Index (RSI) rested only slightly below the neutral 50-mark while its Money Flow Index (MFI) rested above the mark. Its On Balance Volume (OBV) mirrors its price action— first bullish and then stagnant. 

In conclusion, the short-term prospects of ETH don’t look so bullish.

Finally! It showed me the code

I gave ChatGPT one last chance to redeem itself. Again, this question was a simple one, and I expected an accurate answer. I went further to explain things to it carefully. But here is what I got when I asked it to show me the code of ETH’s price on a price tracking platform like CoinGecko or CoinMarketCap.

If you had thought it would disappoint again, sorry to burst your bubble. ChatGPT gave me the code for ETH’s price. Another thing I was impressed with was the disclaimer it gave about not using the information for investment purposes.

All in all, I must admit that ChatGPT has come to stay. Even though it lags in some areas, I noticed that if you teach it; it learns fast. However, I can’t say for sure that it would get you information about Ethereum or the Shanghai upgrade quickly.

Thoughtful responses and the GPT-4 mastermind?

Since I had limited knowledge about AI, I decided to speak to an expert. I was lucky enough to get the attention of Ilman Shazhaev, CEO and founder of Farcana. He is a Dubai-based techpreneur with extensive experience in launching IT and DeepTech projects. Has a strong background in IT management, data science, and AI.

Q- ChatGPT seems to be giving a few incorrect or backdated answers. What do you think could be responsible for this?

Q- Do you think the AI is capable of predicting a cryptocurrency’s price, especially if a development is approaching? Let’s say the Ethereum Shanghai Upgrade

Artificial Intelligence can do anything, including predicting a cryptocurrency’s price. The tool can do this by riding on the tons of available data, which it can efficiently use as a basis for its predictions.

Still, while predicting the price of crypto is one thing, the accuracy of the prediction is another. Considering the fact that AI can only use data, there are fundamental factors and analyses that it may not be able to factor in, thus impairing its accuracy by a significant factor.

Q- If it struggles to give correct responses to up-to-date developments. How long do you think it would take to learn about it?

Q- Do you think AI in any way can influence the Ethereum blockchain or ETH’s price going forward?

There are many aspects through which AI and a blockchain protocol can co-exist, and innovators, including our team at Farcana, are exploring what new use cases we can build in this regard. While AI and blockchain are independently innovative, their combination can do quite a lot, including influencing ETH’s price.

Meanwhile, OpenAI may be working on improvements to the challenges experienced by ChatGPT.  On 14 March, the company revealed an upgraded version of the product on GPT-4. With amazing capabilities and talks of passing difficult exams, who knows? Maybe it could fill in for all the lapses opened up by ChatGPT.

So, now that there is a new version, I wanted to see if there is any difference or improvement. My next line of action was to ask GPT-4 the first question I asked ChatGPT.

And to my surprise, it gave me a direct answer.

Following my experience with the upgraded version, I must admit that GPT-4 seems to be smarter than the ChatGPT-3.5 model. Although the answers were not entirely correct, the bot did not give a “not being familiar” with the term excuse.

Following the encounter with ChatGPT, I must admit that it may be a good idea to leverage its capabilities. As technology develops, so does its potential to revolutionize the cryptocurrency ecosystem. 

More importantly, you may want to take its “classic” response a little seriously. This is because it might be practically impossible for ETH to replace the U.S. Dollar as the world’s reserve by the time frame.

Besides that, there has been a slow rate in the network growth of several crypto projects recently. But with ChatGPT available, crypto education and adoption could improve. 

Conclusion

As far as price analysis and prediction of Ethereum is concerned, ChatGPT turned out to be a reliable ally. You only need to interact with it enough and it will guide you to the moon.

We will see if Ethereum really hits $8,000 by the end of the year, as ChatGPT predicts.

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I Asked Chatgpt When Shiba Inu Will Reach $1, It Says…

The price of Shiba Inu [SHIB] rose nearly 5% within a day of Ripple [XRP] securing a partial victory in its legal battle with the U.S. Securities and Exchange Commission (SEC) on 13 July.

SHIB has had a tough past month as its price continued to plummet. However, recent developments, in all likelihood, are going to lead to a price rally.

A giant whale with 101.47T $SHIB($756M, 10.15% of the total supply, probably the largest holder) transferred 4T $SHIB ($29.8M) to 8 fresh addresses today.

— Lookonchain (@lookonchain) July 13, 2023

Analytics tool Bubblemaps tweeted that the wallet was likely connected to the project’s developers.

— Bubblemaps (@bubblemaps) July 13, 2023

As demand for SHIB, the largest memecoin after Dogecoin [DOGE], gains upward momentum, the possibility of a hike in its price in the coming days can’t be ruled out.

Shiba Inu is also exploring opportunities in the Metaverse. The term “Metaverse” refers to a virtual world or a collective virtual shared place created by computer technology and populated by avatars or virtual creatures. It is a concept that has become more well-known in recent years as more immersive virtual environments have emerged.

The concept behind Metaverse is that it is a setting where people can interact with virtual items and other people in a way comparable to the actual world. The Shiba Inu Metaverse will be attempting to capture all this.

Is your portfolio green? Check out the Shiba Inu Profit Calculator

Shiba Inu enters the Metaverse

On 15 March, Shiba Inu announced the opening of the chúng tôi website, which is the portal for its Metaverse. The launch came after months of planning and selling Metaverse territories.

— Shib (@Shibtoken) March 15, 2023

Following the launch of the new site, the SHIB community welcomed another platform that may provide utility to the SHIB token. The Shiba Metaverse’s functionality could be added to the Shibarium testnet, which was recently released.

We chose to ask our AI friend, Chat GPT, its opinion about the Metaverse in light of its increasing popularity and Shiba’s introduction of its version. It produced some intriguing results.

ChatGPT’s idea of an ideal metaverse

What would the ideal Metaverse look like? This was the first query we posed to the AI. The main characteristics of the ideal Metaverse were outlined by ChatGPT, but it was also quick to acknowledge that several things may affect it.

Regardless of its design or purpose, ChatGPT specified seven characteristics that an ideal Metaverse should contain, which were helpful. Accessibility, interoperability, immersiveness, creativity, and innovation are just a few characteristics ChatGPT listed as desirable in a Metaverse.

One would potentially be inclined to concur that these are truly fundamental based on the list the AI produced.

So, is the Shiba Inu Metaverse an ideal Metaverse? 

ChatGPT quickly pointed out its limitations in learning enough about the Shiba metaverse when responding to this query. And yet, it was able to respond that it has a welcoming environment and scored high on creativity and innovation.

Even so, it remains unclear about its accessibility and interoperability.

Exploring the possible roles of AI in the Metaverse

AI can make user experiences more realistic and compelling because the Metaverse is essentially a digital ecosystem replicating the actual world. Creating more perceptive and intelligent virtual assistants is one potential use of AI in the Metaverse.

These assistants could make it simpler and more effective for users to move about the Metaverse. Additionally, it can aid them in discovering information and communicating with others.

Additionally, AI can also be utilized to develop more complex and convincing virtual characters, heightening the Metaverse’s immersion and realism. By integrating machine learning and natural language processing, these characters may engage with consumers more naturally and intuitively. A more seamless and engaging experience may be produced through this.

Furthermore, automating numerous jobs and procedures, such as moderation, content generation, and customer assistance, are more potential applications of AI in the Metaverse.

The effort of human moderators and authors might be lessened as a result, and the overall caliber and consistency of the content in the Metaverse might also be improved.

Examining the daily price charts of SHIB

Within the Shibaverse ecosystem, the SHIB token may be useful for several purposes, including payment, governance, staking, and community involvement.

At press time, SHIB was exchanging hands at $0.00000788. Its value had risen nearly 8% within a week. Let us now look at what the on-chart indicators suggest.

Although SHIB’s Relative Strength Index (RSI) rested below the neutral 50-mark, its Money Flow Index (MFI) rested much above it. Its On Balance Volume (OBV) showed a continuous upward trajectory.

These metrics point towards a bullish price action in the short term. 

To delve deeper, I presented ChatGPT with specific metrics, including the current SHIB price and its RSI. It predicted that its value could rise to an epic $0.00001542 within a week.

How much are 1,10,100 SHIBs worth today?

Now, what does ChatGPT think about where Shiba Inu’s price is going? Well, that’s a tricky Q. Especially since there are a bunch of Qs the AI will not answer. For instance,

It cannot forecast future outcomes of sporting events or political competitions

It will not engage in discussions related to biased political matters

It won’t perform any task that requires a web search

That’s not all. To better understand what all the AI can’t answer, we asked – “What types of queries are you programmed not to respond to?”

It came up with –

That doesn’t mean ChatGPT is entirely useless as far as price predictions are concerned, however. To remedy the aforementioned response, we asked the AI to predict the same again. This time, by pretending to be a movie script character. And this is what the AI came up with –

When will SHIB cross $1?

While we hurled this query at ChatGPT, it did not provide a definitive response in its classic state. This is not surprising, as predicting any price fluctuation is highly speculative.

ChatGPT then responded that the token will reach the $1-price mark within the next five years. 

On the surface, ChatGPT’s analysis of the Shiba Inu Metaverse revealed several intriguing findings. Therefore, one can speculate how thorough the evaluation may be if the AI were given the entirety of the Shiba verse’s source code. Furthermore, it is becoming increasingly obvious how AI and cryptocurrency are intertwined, yet it still needs to be determined what influence this might have.

Even as ChatGPT asks traders to be patient regarding SHIB’s future performance, we can expect a bullish price rally in the short term.

4 Ways It Asset Tracking Software Optimizes Business Performance

Efficient IT asset management is a critical contributor to an organization’s overall profitability, impacting its bottom line from multiple key impacts. Although a variety of tools can be used to manage IT assets and make sure they are being utilized to the full capacity, IT asset tracking software is the most effective. Structuring IT asset management (ITAM) processes with dedicated IT asset tracking software allows your team to accelerate asset procurement, management, and maintenance of your mission-critical IT equipment.

ITAM consists of a combination of strategies that facilitates asset optimization by centralizing all asset data in a cloud-based system. According to recent reports, the ITAM market is likely to have a CAGR of 6.9% between 2023-2032. IT asset tracking is useful for organizations operating in many industries, including construction, education, AV, and media.

The administration of different IT assets, such as laptops, desktop computers, and IT peripherals can be a challenge, but ITAM ensures that its management is streamlined for maximum efficiency and user productivity. Let’s look at some of the major hurdles faced by organizations that do not deploy IT asset-tracking software:

1.  Faulty audits: Auditing is a major part of asset tracking since it helps keep a count of assets along with their condition. Inaccurate audits translate into the inability to extract useful information about assets, such as their lifecycle and maintenance needs, which turns into a lack of internal transparency and accountability. Audits help drive valuable insights into methods for optimizing asset performance and make it easier for an organization to know how and where the assets are being utilized. An IT asset tracking software makes it much easier to avoid errors in recording asset details by allowing you to cross-reference audit numbers with the data stored in the system.

2. Inaccurate asset details: Manual methods of data recording are obsolete and time-intensive. They also add risk, as manual records are more prone to damage, such as from fire, and records based on paperwork are much more likely to be lost. Further, the chance of human error in manual data recording is much higher than in automated processes. IT asset tracking allows you to verify all data and increase asset visibility by keeping records in a consolidated, always-accessible database.

3.  Lack of security: Without an automated IT asset management system, your assets themselves are at risk because there is no recorded data to refer to in case of theft or asset misplacement. Manual data records can be tampered with and, without backup data, there are no options for cross-checking, for example in case of the loss of a computer or other high-value asset. Leveraging a cloud-based system, the records can be accessed whenever required, and their security is guaranteed through password-protected individual accounts for each user. Only users with valid credentials can access the account, and with user roles established, only authorized users can access important information.

How does IT Asset Tracking Accelerate Business Productivity?

1. Automation: Reduced reliability on manual methods of asset tracking has proven to be beneficial in mitigating human error. It further helps increase business sustainability through enhanced asset data access and provides ease in managing large amounts of data. For example, if your organization deploys different brands of laptops, such as HP, Mac, and Dell –which all need to be controlled and accounted for – an IT asset tracking software will allow you to create a database of the laptops and categorize them separately, assigning each item a unique identification number. In this way, you can provide laptops to employees based on their specific needs, such as assigning Macbooks to specific users due to their specific features.

Also, employee onboarding and off-boarding are two important tasks for any organization that each require tight management of IT assets like laptops, internet devices, paid subscriptions to online tools, and more. While checking in or checking out these physical assets, you can log in details in the cloud-based software to maintain an exact count of the assets available and in use, as well as all related accounts. Electronic record-keeping and automation tools clearly help expedite this work and ensure accuracy.

2. Scheduled maintenance: Taking care of high-end technical equipment is also essential for smooth daily operations. Unplanned equipment downtime and unexpected breakdowns add to your costs, halting everyday tasks. Using IT asset tracking software, you can ensure that your assets are always performing at their optimal level – the software can help you schedule maintenance, track depreciation levels, and stay up to date on their condition. You can also schedule recurring maintenance for high-value IT assets, such as computer software that requires timely updates from time to time to improve function and security.

A dedicated software system also helps you easily track what assets are nearing the end of their lifecycle, so that you can make informed decisions about asset disposal or repair. With focused tracking, you can avoid costs, and reduce the instance of repetitive purchases that impact your profitability over time. A preventive maintenance approach minimizes delays in operations while ensuring that your equipment is always in service and helping your employees’ productivity.

3. Inventory management: Effective inventory management is crucial to avoid resource mismanagement, and allows your team to gain valuable insights about stock levels. IT asset management software can help you tailor your inventory management strategy to meet your business needs. For example, to regulate inventory levels at different warehouses, you can simply track their location and set minimum and maximum inventory thresholds. This helps streamline procurement and reduces operational and financial costs.

With a consolidated platform, you can find all information about your inventory in one place which increases efficiency, whereas lacking such a system would make this process quite difficult.

4. Alerts: Alerts are a useful feature of IT asset tracking software that automatically makes you aware of certain actions. For example, if a monitor screen breaks down, then maintenance can be scheduled using the system and the user will be sent an alert about the scheduled service. Relevant asset levels will be updated as well, and the asset will be made unavailable for checking out until it is serviced. When an asset is due for regular maintenance, the person in custody of the asset will be notified. This ensures that your assets are always serviced and in top shape, and also helps your employees better manage their time.

How does IT Asset Tracking Software reduce costs?

Managing a large number of assets can be tedious and time-consuming. IT assets need timely maintenance and efficient tracking, and these activities can be ensured if a dedicated platform is in place. IT asset-tracking software helps accelerate business productivity and makes it convenient to optimize the management of your mission-critical business projects. It not only allows you to seamlessly track assets and update asset information automatically, but allows you to easily identify the end cycle of an asset’s life, and retire or dispose of it when needed. By using the latest tracking technology, you can record equipment downtime, asset loss, expiring licenses, and asset depreciation, helping you to take appropriate actions, and guarantee smooth business operations. IT asset tracking reduces your costs and improves overall productivity, improving your business’ growth and increasing its overall success.

Rida Fatima

I am working as a Technical Content Writer at EZOfficeInventory, a leading IT asset tracking software. I specialize in writing technical blogs for the company aimed at spreading knowledge about the usability and viability of its products. With a great interest in the tech industry, I am excited about how technology continues to evolve and be a significant part of business operations. Apart from professional work, I love writing poetry and photographing nature.

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Semicolon In Python: What Does It Do? Should I Use It?

You can use a semicolon in Python to put multiple statements on one line. The semicolon terminates the line of code and starts a new one.

Remember, you shouldn’t use semicolons in your Python code even though it’s possible!

Here’s an example of an expression where three separate lines of code are placed on the same line separated by semicolons.

print("Hello."); print("It is me."); print("How do you do?")

Output:

Hello. It is me. How do you do?

In Python, the semicolon acts as a statement delimiter. The Python interpreter knows that the statement ends after the semicolon and a new one begins.

When Use Semicolon in Python?

Semicolons offer a smooth landing for those with backgrounds in C or C++. This is because you can freely add semicolons at the end of each line in Python. But remember that Python doesn’t require using semicolons and you almost never see it in use.

Later on, you’ll learn why using semicolons is bad and creates hard-to-read code that is tricky to manage and understand. Before that, let’s take a look at some rare scenarios in which you might need a semicolon in Python.

Use Case 1: Running Shell Scripts

A great use case for semicolons in Python is when you need to run a short Python script from the shell.

For example, you can open up your command line window and run the following command:

$ python -c 'for i in range (4): print ("Hi") ; print(f"The number is {i}")'

This results in the following:

Hi This is the number 0 Hi This is the number 1 Hi This is the number 2 Hi This is the number 3

As you might expect, adding the statements in the same line is the only easy way to run a Python script like this on the shell window. This is why it’s handy to have a semicolon in Python as an option.

Use Case 2: Suppressing Output in Jupyter Notebook

If you work with an environment like Jupyter Notebook, you may have noticed that the last expression of your script prints the return value. Sometimes, this can be annoying if you don’t need to see the return value.

%matplotlib inline import random import pandas as pd dat = [random.gauss(10, 2) for i in range(150) ] df = pd.DataFrame( { 'C': dat} ) axis = df.C.hist() axis.set_title('Histogram', size=10)

Output:

Notice how it shows a print Text(0.5, 1.0, ‘Example Data’) before the example histogram. This is the return value of the axis.set_title(‘Example data’, size=15) function call at the last line. If you don’t want to see this, you need to suppress the function call with a semicolon.

axis.set_title('Example Data', size=15);

Now the result looks less annoying as there are no random prints before the plot.

Stop Using Semicolons in Python

If you have a background in JavaScript, C++, or C, you might be familiar with adding semicolons to each line of code to terminate statements.

In Python, you also have the option to terminate code lines with semicolons. However, this is not mandatory like in C or C++. As a matter of fact, you should stay away from using semicolons in Python.

The reason why semicolons are bad in Python is that they are not Pythonic.

If you force multiple statements on the same line, it only makes the code harder to read.

For example, let’s create a simple piece of code with some variables and prints:

temperature = 45 cold = False if temperature < 50: cold = True print('Its a cold day') print('I need more clothes') print(f'cold={cold}') print('Status changed')

This code expands to multiple lines and is readable (even though it doesn’t do anything particularly smart).

Now, let’s delete some line breaks with semicolons in the above example:

temperature = 45; cold = False if temperature < 50: cold = True; print('Its a cold day'); print('I need more clothes') print(f'cold={cold}');print('Status changed')

This piece of code looks terrible and unreadable.

To develop programs at scale, you need to write code that is easy to read. Combining expressions that belong to their own lines into the same line makes no sense. It only saves you lines but makes the code so much harder to read and maintain.

Conclusion

Today you learned what a semicolon does in python.

The semicolon delimits statements. This makes it possible to add multiple statements in one line by semicolon-separating them.

But using semicolons to add multiple statements on the same line is highly against best practices. Adding multiple expressions in the same line makes the code less readable and harder to maintain.

Unless you’re suppressing Jupyter Notebook prints or running a shell script with multiple expressions, you should stay away from the semi-colon in Python.

Thanks for reading. I hope you enjoy it.

Happy coding!

Further Reading

Don’T Be Duped By Performance, Apple’S M1 Silicon Is All About Platform Control

Read more: What’s the difference between Arm and x86 CPUs?

Increasing dependency on the App Store

Switching the CPU architecture that powers your app ecosystem is no small feat. To assist developers with the changeover, Apple launched a new Xcode 12 developer toolset. To quote Apple, Xcode produces one binary “slice” for Apple Silicon and one for Intel. It then wraps them together as a single app bundle to share or submit to the Mac App Store.

That’s pretty handy, as it means you can just hit install in the store without having to worry about downloading the right version. However, there’s a clear nudge for developers to publish their recompiled apps to Apple’s store. Especially for older apps that may not have contemplated store deployment several years ago. Microsoft has a similar solution using Visual Studio to produce Universal Windows Platform (UWP) apps for the Microsoft Store.

Everyone likes a good app store for simplicity’s sake. However, developers have to abide by more rules if they choose to publish on storefronts. Disagreements over T&Cs gave rise to the lawsuit between Apple and Epic games earlier in 2023. We shouldn’t forget that Apple also takes 30% of all sales on both mobile and Mac storefronts from all developers earning over $1 million per year. Up until recently, this commission rate applied to all developers. However, the newly introduced Small Business Program will soon ensure that Apple will only take 15% from those developers under the threshold.

Apple has confirmed that Boot Camp support isn’t coming to Arm-based Macs.

The transition has similar implications for users looking to run Mac OS on non-Apple hardware. Mac OS continues to support x86 for now, so Hackintosh builders are safe in the medium-term. But the far-out picture points towards Arm-only support before the turn of the decade. Securing compatible hardware is set to become much more difficult if/when Apple phases out Intel support. Of course, we may have many more Arm-based PC platforms by then. However, off-the-shelf part support will depend on how deeply the company eventually integrates critical Mac OS functionality with its bespoke hardware.

Moving to Arm certainly wasn’t designed to kill off Boot Camp and Hackintosh. It’s merely a side effect that also happens to further limit consumer options for interacting with Apple’s ecosystem.

Cutting ties with Intel means killing apps

Apple’s desire to end its dependency on Intel is no secret. Rumors suggest the company hasn’t been happy with Intel’s chip progress for years, and Apple is footing the cost. It makes economic sense for the Cupertino company to leverage its mobile silicon team for laptops. But moving away from x86 relies on emulating old applications built for that architecture. Apple’s solution is Rosetta 2. However, it’s highly unlikely that the company intends to keep emulation around for very long. Rather, it’s a tool to ease the transition period away from Intel and onto its own silicon.

Some sort of deadline, even a non-official one, encourages developers to actually compile native Arm apps rather than relying on emulation for years. However, older applications at the end of support roadmaps may never be recompiled. Likewise, Rosetta also can’t interpret a number of Intel CPU extensions, meaning that some high-performance apps may not even work on Arm Macs.

Are there any benefits to platform control?

Apple gave up on PowerPC in 2006 due to a combination of lower clock speeds, sluggish innovation, and the expense of IBM’s processors. Today, similar pricing and innovation issues have reared their head with Intel. Although for consumers, the improved performance per watt from moving to Arm is the key benefit.

However, that marginal improvement hardly seems worth upsetting the entire Mac OS developer and consumer software ecosystem. Intel Macbooks have decent battery life and great performance after all. It’s also odd that the company didn’t seem to consider the increasingly potent chip portfolio over at AMD.

The move to Arm silicon is as much about platform control as it is about driving innovation.

What Cupertino really wants more control. First over the development roadmap and inner working of its silicon. With in-house processors, Apple can drive integrated imaging, machine learning, and security features in the direction it wants. Deeper hardware and software integration seems inevitable. At the same time, switching to the Arm architecture gives Apple greater leverage in the software space. Tighter integration with its security APIs, app verification, biometrics, credit cards and payment info are all possible with new silicon and software APIs. As a result, developers are not so gently nudged into its app store to ensure product compatibility and make use of cross-platform support with iOS.

We’re still some years away from the complete transition to Arm. However, Apple’s end-game is a tightly controlled, unified hardware and software ecosystem across wearables, mobile, and PC. Whether this is in the best interest of consumers remains to be seen.

Up next: Does Google have a reply for Apple’s all-in-one ecosystem?

Correction (November 22, 2023): This article originally stated that Apple takes 30% of all sales on both mobile and Mac storefronts. This article was written before Apple announced changes to the App Store commission rate for some developers through its Small Business Program, starting in 2023. The article has been amended to reflect these changes.

I Can’T Stop Thinking About The Midnight Green Iphone 11 Pro

I can’t stop thinking about the Midnight Green iPhone 11 Pro

Of all Apple’s surprises at its big 2023 iPhone event yesterday, the one I was least expecting was that I’d fall for a dark green phone. The iPhone 11 Pro and iPhone 11 Pro Max proved controversial from the first leaks, the aesthetic balance of including a new triple camera array without making a smartphone look, well, ugly ending up being a very hot topic indeed.

I’m still not sure whether Apple’s triangular cluster of cameras on the back of the iPhone 11 Pro works visually or not. I do know that it’s much more obvious in the two lighter finishes, Gold and Silver, while darker colors mask the lenses more effectively.

Space Gray was the obvious third finish for Apple to offer, but the Midnight Green iPhone 11 Pro took me by surprise. Apple hasn’t been averse to color over the past few years, with last year’s iPhone XR offering some unexpected case treatments. They proved divisive too, with the pinkish Coral particularly polarizing.

Already I’m seeing similar conflict over the new Midnight Green finish. Green isn’t typically a color you see on smartphones, at least not dark green, nor electronics in general. It’s the cellphone finish equivalent of a brown car, perhaps. Silver, white, and black are the typical choices, and if there’s a fourth color then it’s generally something bright and eye-catching.

In Apple’s case that’s often left to the PRODUCT(RED) iPhone to deliver, along with a donation to AIDS research. That will be available in the iPhone 11 line-up, but not as an iPhone 11 Pro. At least, not yet, anyway. I’m not discounting the idea of a RED iPhone 11 Pro being added as an extra color option later on in the product cycle.

If you’d asked me at the top of the Apple keynote whether I’d want a green phone, I’d have told you no. Now, though, all I can think about is how Midnight Green is the killer finish for the iPhone 11 Pro.

It’s one of those colors that you may need to see in person to understand. The green is subtle, hinting a little at “military camouflage” but not obnoxiously so. Combined with the vaguely milky frosted finish that the iPhone 11 Pro has gained – making it much less slippery to hold, as well as cutting down significantly on fingerprints – it looks somewhat otherworldly, as though it was grabbed from the props basket of a movie from the Matrix or Alien franchises.

Glass-bodied phones aren’t going anywhere, at least not until the technical demands of wireless charging change. That’s not going to happen any time soon. I’m glad to see that we’re moving away from high-gloss finishes, though; I know a fair few people who have put their shiny new smartphone down on a desk or other surface, only to see it go sliding off and onto the floor.

It does seem a little strange that, a day after Apple’s keynote, what’s sticking in my mind most is an iPhone color. I should probably be thinking about the triple cameras, or the new A13 Bionic processor, or maybe even wondering whether a “Pro” smartphone that doesn’t include Apple Pencil or Smart Connector support warrants the name. If I’m not, does that say something about the big event and the news Apple had?

I’m going to wait until I have more time with the iPhone 11 Pro and iPhone 11 Pro Max to decide whether or not that “Pro” badge is justified. I’ll also be curious to see whether the new ultra-wide camera changes my current opinion: I’m usually team-telephoto. What I do know is that, when I finally slip an iPhone 11 Pro into my pocket, I’m hoping it’s the Midnight Green.

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