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Will Mojo become Python’s successor for AI development? Mojo or ‘Python on steroids’ is rising due to its performance

Mojo is a new programming language that was recently unveiled by the AI infrastructure company, Modular AI. It is ideal for research and production by combining the syntax of Python with the portability and speed of C.

The need for an innovative and scalable programming model to unify the world’s ML or AI infrastructure gives rise to Mojo. A superset of Python, Mojo supports Python core features such as error handling, async/await, and variadics. While it is designed to work alongside languages like Python, there are some speculations that Mojo replacing Python as the language of choice for AI development. Let’s explore more of both languages and check if Mojo is a viable candidate to replace Python in AI development.

The Modular AI team tweeted, “Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models. Also, it’s up to 35000x faster than Python”

Python is a simple, easy-to-use programming language that made it a go-to language for AI development. The programming language was a choice for data analysis and prototyping as its code can be executed directly without the need for compilation. Python syntax is easy to learn and read, which allows developers to quickly write and test code. It is compatible with a wide range of operating systems as well.

Python is also known for its robust ecosystem of libraries and tools specifically designed for AI development. Libraries like TensorFlow, PyTorch, and Scikit-learn provide developers with a powerful set of tools for developing and training AI models, and Python’s rich community of contributors provides a wealth of knowledge and resources to help developers overcome any obstacles they may encounter. Mojo will leverage the entire ecosystem of Python libraries built on a brand-new codebase. Along with this and computational ability of C and C++ enables AI python developers to rely on Mojo.

The fragmentation in the ecosystem and deployment challenges faced by the Python community is resolved by Mojo. Mojo was designed to support both general-purpose programming and accelerators essential for AI systems. However, specialized accelerators face difficulty in handling tasks where the host CPU plays a major role. Mojo supports the whole range of general-purpose programming that addresses the issues.

Mojo has been referred to as “Python on steroids” because of its exceptional performance capabilities. Mojo is 35000 times faster than Python which provides a sizable speedup that creates new opportunities for data-intensive and computationally demanding tasks.

With the emergence of Mojo, speculations have risen on the future of Python. Mojo’s unique features such as supporting automatic differentiation, and automatically calculating gradients without the use of manual coding. This reduces the time and effort required to develop and train AI models.

As a relatively new language, the lack of libraries and tools for Mojo is a challenge. More developing time is required as the ecosystem is not mature as Python’s and to develop code. While there are some libraries available, the ecosystem is not as mature as Python’s, and developers may need to spend more time developing and testing their code. Additionally, Mojo’s syntax may be less familiar to developers who are used to working with Python, which could make it more difficult for them to switch to Mojo.

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Become Ai Mastermind With The Best Chatgpt Tips And Tricks

Become AI Mastermind with the best ChatGPT tips and tricks to enhance the workflow or simplify daily tasks

Becoming an AI mastermind with ChatGPT involves honing your skills and understanding the intricacies of the language model. Ever since ChatGPT was launched, it remains an innovative and disruptive technology that is the most used application in the world. Developed by OpenAI, it understands human-like text based on prompts.

Introduced in late 2023, ChatGPT was first introduced as a free generative AI tool. The premium version is ChatGPT Plus. Do you ever get the impression that you’re only beginning to tap into AI’s full potential? To harness its full power, it is crucial to understand the art of prompt engineering and optimize AI prompts for better results. By leveraging the following ChatGPT tips and tricks, you can enhance your interactions and achieve more accurate and meaningful responses. Here are some key insights to help you make the most out of your ChatGPT experience:

1.Provide clear instructions and Be Specific

Clearly state your request or question to ensure ChatGPT understands your intent. Specify the problem or task for AI to tackle. Begin with a particular prompt, and if necessary, provide additional context to guide the model’s response. It’s highly recommended to avoid jargon and complex terminology and provide context by offering background information to help AI understand the issue.

2.Use system messages, to guide AI’s thought process

Utilize system messages to gently instruct the model or set the behavior for the conversation. For instance, you can use a system message like “You are an expert in AI. Explain the concept of deep learning to me.” Instruct the model on how to approach an answer, reducing the chance of mistakes.

3.Limit the scope of prompt and Control response length

Accuracy in answering can be done by focusing on a single topic for AI to answer. Complex tasks can be broken down into smaller parts. You can specify the desired length of the response by using a max_tokens parameter. This allows you to get concise answers or longer, more detailed explanations depending on your requirements.

4.Penalize inappropriate responses

If ChatGPT produces an inappropriate or undesirable response, you can downvote that output and append a message explaining why. This feedback helps the model learn and improve over time.

5.Break the Limit Barrier

The free account has limitations, therefore the answer you might end up with is less than the word limit you demanded. It will even provide a concluding paragraph suggesting that the output was complete. However, this limitation can be bypassed by saying, ‘Go on’ and the chatbot will continue from where it left off, giving a more detailed answer.

6.Prompt engineering

Crafting an effective prompt is an essential skill. You can experiment with different styles, such as asking the model to debate pros and cons, generate a list, or provide a step-by-step explanation.

7.Paraphrase or rephrase

ChatGPT answers the question you have asked with the word limit specified. If you’re not satisfied with the initial response, try asking the same question differently. Rephrasing the query can provide varied responses, giving you a broader perspective.

8.Be specific with questions and Reframe it

Instead of asking broad questions, break them down into smaller, more specific inquiries. This helps ChatGPT focus on particular aspects and provide more accurate and concise responses. Ask open-ended questions to encourage the AI to explore different angles and provide comprehensive answers.

While ChatGPT has a knowledge cutoff, you can still refer to information from before that time. Incorporate relevant knowledge from your own research or external sources to enhance the model’s responses. Various features are available within ChatGPT like adjusting response length, specifying temperature, or using system level.

10.Manage verbosity

Managing verbosity is featured in built-in ChatGPT. If ChatGPT generates excessively long responses, you can set a reasonable value for max_tokens to keep the output concise and prevent it from going off-topic.

11.Explore alternative solutions

 Ask ChatGPT to consider alternative perspectives or approaches. For instance, request a creative solution, a different method to solve a problem, or a hypothetical scenario to explore various possibilities.

12.Stay aware of limitations

 Although ChatGPT is a powerful tool, it may occasionally provide incorrect or nonsensical responses. Use critical thinking and verify information from reliable sources when necessary.

13.Fact-check and experiment

Sap Expands Partner Program For Application Development

SAP has broadened its partner program for companies that want to develop applications using its technology and then sell them through the SAP online store.

While SAP already had programs aimed at mobile application development and its HANA Cloud service, the expanded offering brings in more technologies and also accommodates partners who want to build products that run on-premises, according to Monday’s announcement.

Partners will also be able to bundle and sell runtime licenses for SAP platform software with any applications they build, “so you can join the program once and then decide on your application scope, architecture, business model and routes to market,” according to an FAQ document. This approach also gives partners the ability “to act as ‘one face to the customer,’” SAP said.

SAP will charge partners royalties for the platform products “as a percentage of the net revenue of your packaged application (based on license list price and considering standard discounts such as volume discounts),” according to the FAQ.

Admission to the program requires a “low annual fee,” which gives partners access to their choice of “innovation packs” centered on various SAP products.

SAP Technologies covered by the expanded program include HANA, HANA Cloud, mobile platform, NetWeaver and ABAP, Sybase ASE, Sybase IQ and Sybase SQL Anywhere.

The program features a variety of partner onboarding services, ongoing training and support, and ultimately product review and certification services.


Partners can get their products qualified for the SAP store through an application review at no additional charge. Integration certifications are available for a fee. SAP charges 15 percent of revenue for applications sold through its store, compared to 30 percent for Apple’s iTunes store.

However, iTunes has a far higher profile than SAP’s store, as one question in the FAQ document alluded to. “SAP will drive demand to the SAP Store and will develop it further,” the FAQ states.

One-year, limited access “exploration memberships” for the expanded partner program are available for those who want to try before they buy, according to SAP.

The announcement is “a welcome evolution of partner development onboarding,” said Jon Reed, an independent analyst who closely tracks SAP, via email. “It’s more integrated, and increasingly clear on pricing.”

“Basically SAP has consolidated and simplified the ability for partners to develop apps,” Reed added. “Even though the marketplace for those apps is not as well-established or conceived, SAP clearly needs a real apps ecosystem around its products and partners need this kind of simplified process.”

Still, “it’s a welcome step but there is still a lot to prove in terms of partners building apps that are truly impactful for customers,” he said.

In addition, “a big missing piece from what i can see is connecting this partner program to individual developers (such as highly skilled independents),” Reed said. “That path is clear inside SAP but it doesn’t seem clear from the outside.”

SAP’s announcement didn’t particularly emphasize one technology more than another, even though HANA has emerged as the focal point for all internal development efforts.

It has launched a separate program for HANA aimed at getting startup companies to build products on the platform, and says to date that more than 500 have joined.

Also Monday, SAP announced that three more software vendors—PROS, AlertEnterprise and Clockwork—have become HANA OEM (original equipment manufacturer) partners and will embed the technology in their products.

The Future Of Ai Technology: List Of Jobs Where Ai Will Take Over

Here of the future of AI technology

Artificial intelligence is already pervasive in our digital life, from cell phones to chatbots. You just don’t realise it yet. The popularity of AI is growing, thanks in part to the vast amounts of data that machines can collect about our interests, purchases, and activities on a daily basis. Artificial intelligence researchers utilise all of this information to teach machines how to understand and predict whatever we want or don’t want. Let’s take a look at where AI is headed in the future.  


Netflix, step aside. In the future, you could relax on your couch and order a personalised movie with your favourite virtual actors. Meanwhile, film companies may be able to avoid flops in the future: The storyline of a movie script will be analysed by sophisticated predictive computers, which will forecast its box office possibilities.  


Why would you want to take medicine that is beneficial for the ordinary individual when you could have it personalised to your specific genome? Doctors and hospitals will be able to more effectively evaluate data and tailor health care to each person’s genes, surroundings and lifestyle thanks to AI algorithms. AI will drive the personalised medicine revolution, from detecting brain tumours to determining which cancer treatment would work best for each individual.  


In 2023, there were around 707 million cybersecurity vulnerabilities, with 554 million in the second quarter of 2023. Companies are fighting to keep one step ahead of cybercriminals. AI’s self-learning and automated skills, according to USC experts, can help consumers protect their data more consistently and inexpensively, keeping them safe from terrorism or even small-scale identity theft. Before harmful computer viruses and programmes can steal vast amounts of data or wreak chaos, AI-based techniques hunt for patterns linked with them.  

Vital Tasks

AI assistance will help seniors maintain their independence and stay in their homes for extended periods of time. Artificial intelligence (AI) systems will ensure that healthy food is constantly available, that things on top shelves are safely reached, and that movement in a senior’s home is tracked. Many other repetitious and physical jobs are ideal candidates for AI-based technologies. However, in dangerous fields such as mining, firefighting, mine clearance and handling radioactive substances, AI-assisted employment may be even more vital.  


Self-driving cars are one area where AI may have the greatest impact in the near future. AI drivers, unlike people, never give up at the radio, apply mascara, or squabble with their children in the backseat. In European cities, self-driving trains have already taken over the rails, and Boeing is developing an autonomous airliner.  

List of Jobs Where AI Will Take Over Customer Service Executives

To do their tasks, customer service agents wouldn’t need a high level of social or emotional intelligence. Many organisations increasingly rely on AI to answer frequently asked questions and provide customer care. Chatbots are becoming more than just a part of customer support. They also respond to a variety of internal inquiries.  

Bookkeeping and Data Entry Receptionists

In the long run, automated check-ins in both small and large motels will reduce the need for hotel staff. Customers can now place orders through communication displays or tabs in fast food places. There’s a good chance that, with AI, machines will be able to handle purchasing and other related activities.  


While editing is more difficult in terms of tone, comprehension, and other factors, proofreading is a much easier task. Different applications can easily detect grammar errors, sentence construction mistakes, and other mistakes. Grammarly, for instance, is one of the most well-known programs for this purpose among professionals.  

Retail Services

People who handle sales have been replaced by automated services. Many merchants are focusing on self-ordering and payment methods, and AI can be incorporated fast. In order to truly comprehend client habits, many retail professions are being substituted by robots. Furthermore, the substantial data analysis performed by AI machines reveals alternative products that customers may be interested in in the future.  

Courier Services

As a wake of AI, the shipping sector has undergone various social and economic changes. Several logistics and supply chain operations have been streamlined. As deliveries, drones and robots are already substituting people. Robotic automation will have the biggest effect on the shipping industry in the future years, aside from the manufacturing industry.  


Military experts believe that future battlefields will be populated by robots capable of following orders without continual monitoring. Robots are utilised extensively in military operations for a variety of functions including surveillance, data and many more.  

Taxi and Bus Drivers

This industry has a 97 % likelihood of being entirely automated. Self-driving cars are already on the market, and fully autonomous cars won’t be far behind.

Deadly Heatwaves Like Those In The Pacific Northwest Will Only Become More Common

This post has been updated. It was originally published on June 28, 2023.

The first half of this week has been unprecedentedly hot in the Northwest region of the US and western Canada—this is the most intense heatwave to ever hit the region. After an already scorching and record-breaking weekend, with temperatures as high as 112 degrees Fahrenheit in Portland and 108 in Seattle, thermometers crept even higher Monday and Tuesday, sometimes exceeding 30 degrees above the normal daily temperature. Thankfully, most of the heat had passed by Wednesday, as temperatures settle towards the weekend.

The unbearably high temperatures have led to the suspension of pandemic-related capacity limits across Oregon at swimming pools, movie theaters, shopping malls, cooling centers, and public transit to make sure people have access to air conditioning or other places to find refuge from the heat. In some parts of the country that are being hit, air conditioning in homes isn’t common—in Seattle, only 44 percent of homes are air-conditioned. 

On top of a low rate of air-conditioned homes and a significant population of people without housing, the uncharacteristically high overnight lows proved deadly. In Oregon alone, 63 people died due to heatwave-related causes—45 of these were due to hyperthermia, according to Reuters. That’s nearly four times as many deaths in just one week than all hyperthermia deaths in the state between 2023 and 2023. British Columbia reported at least 486 sudden deaths over the five day period, as temperatures surged above 120 degrees Fahrenheit in some regions.

[Related: Earth used to be cooler than we thought, which changes our math on global warming]

“We’ve never had this type of heat for so many days, it’s a public-health emergency,” Dan Douthit, a spokesman for the Portland Bureau of Emergency Management, told the Wall Street Journal. But these types of heat waves could become more common. A study released last month tied more than a third of heat-related deaths to a changing climate. 

Agriculture is also bearing the heat head-on. Strawberry farms are drying out and endangered salmon species face increasingly warm and unhealthy waters. Meanwhile, many workers in strawberry fields and cherry farms have been forced to work in dangerous conditions as their employers fret about whether their perishable crops will survive the heat. At least one farmworker has died as a result.

The reason for all the maddening weather can largely be attributed to a heat dome—a high-pressure system that sits on top of a region, capturing extra heat over the area and warming it up faster (think putting a lid on a pot of boiling water). Earlier this month, the Southwestern US saw record-breaking temperatures amped up to extreme levels thanks to this same heat dome that has now moved north. 

“It’s the same high-pressure pattern we’ve had parked over the West; it just kind of moves north and south or east and west. It moves and strengthens and weakens,” Andrea Bair, the climate services program manager for the National Weather Service’s western region, told National Geographic. 

[Related: Did the dip in carbon emissions during the pandemic really help the atmosphere?]

More heatwaves like this one are likely, thanks to a changing climate that will only grow more troublesome in the years to come—something that worries experts, especially when it comes to typically colder areas of the US. Additionally, low-income communities with less tree cover face even deadlier effects than their wealthier counterparts, even in the same cities. 

“Unfortunately we’re not well-prepared, generally speaking in the Pacific Northwest, for heat,” Vivek Shandas, a professor of climate adaptation and urban policy at Portland State University, told CNN. “Our [power] grids are largely taxed during the wintertime for heating purposes, but in the summer, there’s a lot less capacity in the grid to be able to actually manage some of the major drains on cooling infrastructure that’s needed.” Shandas told CNN he didn’t have an AC unit in his home until last week.

The Western half of the US is still facing exceptional droughts on top of exceptionally warm days, which creates a kind of feedback loop, Daniel Swain, a climate scientist at the University of California, Los Angeles, told National Geographic. “You have this further self-reinforcing cycle between heat waves and droughts that are being made worse by climate change on top of the linear warming trend,” he said. 

Scorching days in mild-weather climates may be alarming and record-breaking now, but they are only going to get more common as time goes on. 

Top 10 Programming Languages Used For Blockchain Projects And Development

If you’re interested in getting into blockchain development, you must look into a handful of top programming languages used for blockchain projects.

Blockchain has become a billion-dollar industry where more organizations are looking for new ways to include it in their offerings. Blockchain is safe, secure, and a terrific way to unify the way we send and receive money. The development of this technology has brought about improvements in many industries. This article lists the top programming languages used by blockchain developers and blockchain development companies.

1. C++ 2. Python

As a beginner developer, you can use Python to create prototypes without the need for long codes. One of the most important reasons for the use of Python is its open-source support. As a developer, you can select from thousands of resources and plugins when working on your blockchain development.

3. Java

It is a general-purpose programming language that is concurrent, object-oriented, and class-based and is designed in such a way that Java has few implementation dependencies. Since its launch in 1995, Java has become one of the top 3 programming languages, and rightly so with over 9 million developers. NEM’s core blockchain network has been written solely in Java

4. Solidity

Solidity is one of the fastest-growing blockchain programming languages that was created for writing smart contracts that run on the Ethereum Virtual Machine (EVM). It is a new and simple programming language that is popular amongst Ethereum developers, as it is the language used for developing Ethereum smart contracts. Solidity is a contract-oriented Turing-complete programming language and the number of developers is estimated at over 200,000.

5. Vyper

Vyper is a new Blockchain programming language that is derived from Python 3. So, the Vyper syntax is also valid Python 3 syntax, even though Vyper does not have all of Python’s features. Vyper is created as an alternative to Solidity. It is usually used for the Ethereum Virtual Machine (EVM), just like Solidity is. However, Vyper has different control structures than Solidity and it also handles security issues differently.

6. Golang

Also called Go, this language is a statically typed, compiled programming language developed by Google. It was developed based on combining the ease of code development and the effectiveness of compiled language. This language is also quite complicated and can be hard to learn, especially for JavaScript and Python developers. This language will be easier for C++ developers. This program has been used for many blockchain projects such as Hyperledger Fabric and Go-Ethereum.

7. C#

C# was initially developed to be used as a Microsoft language, but with time found many uses. One of the best uses for C# is for blockchain development. C# is an Object-oriented programming language that allows you to build programs that can work across multiple operating systems. Some of the best examples of projects that used C# include Stratis and NEO.

8. JavaScript

JavaScript is the most popular web language and thanks to NodeJS, a JavaScript runtime environment, JavaScript is quite popular with Blockchain developers as well. They can build highly capable and creative Blockchain applications with JavaScript because it is already installed on most systems. So developers do not need to worry about integration while using JavaScript and they can just focus on the application logic for the Blockchain.

9. Simplicity

Simplicity is a high-level Blockchain development language that was created for smart contracts. It is one of the best programming languages to write smart contracts, both for professional programmers and open-source developers. Simplicity is also focused on reducing the complex and low-level understanding of the Bitcoin Script.

10. Rholang

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