THE WEEKLY NEWSLETTER OF AIM Monday, 2 SEP, 2024 | Was this email forwarded to you | BY AMIT RAJA NAIK | | | | | | | Software engineers who crank out code for mobile and web apps are watching their relevance slip away. Their future now hangs by a thread, getting bleaker with each passing day and urging them to upskill more than ever. Simply put, traditional software engineers are now living in the developer era. Alarmingly, the barrier to entry for a developer is dropping every day. The most recent phenomenon that’s got everyone talking is Anysphere’s Cursor coding tool, which has basically turned everyone into a developer. And now, there are more tools coming up in the same category, such as Codeium, Magic, and Zed AI, all trying to make the same formula work. | | | | | | | The solution is easier said than done – upskill yourselves and focus on higher order things such as building foundational AI. Even eight-year-olds are building apps using Cursor AI in 45 minutes. Since there is no barrier to entry, no degree requirements, and no regulations about who can join the market, software engineering has become just about anyone’s game – something that has not happened to many professions in the history of jobs. Meanwhile, there are plenty of opportunities for developers to upskill. But “upskill to what?” is what people ask. The conversation from LLMs to SLMs to coding assistants to AI agents keeps changing so swiftly that it can be challenging to determine which new skills are worth acquiring. This question reflects a broader uncertainty about how to prioritise learning in a field where the next big thing seems just around the corner. | | | | | | | Should you panic? Francois Chollet, the creator of Keras, said a few months ago: “There will be more software engineers (the kind that write code, e.g. Python, C or JavaScript code) in five years than there are today.” He added that the estimated number of professional software engineers today is 26 million, which would jump to 30-35 million in five years. This is because developers who are proficient with coding without code generators can never be replaced. People who built programming languages and foundational tools are still very well versed in coding than people who are just using Cursor and alike to build apps. Sure, there can be an abundance of people building apps in the future, but the scope would just be limited to that. Meanwhile, highly skilled 10x developers would be focusing on leveraging such tools, or possibly finding flaws in them, to create even better software. So to say, creating the next Cursor, or maybe even ChatGPT-like platform for coding. There is an abundance of things that can be done. For instance, focusing on enhancing hardware or building infrastructure for running future workloads can only be comprehended by experts in the field. Companies like Pipeshift AI, Groq, and Jarvis Labs are some of the examples of those working on problems other than coding. The truth is that such AI tools can never replace human intelligence or jobs, only augment them. “Generating working code is only a part of the responsibility,” said VJ’s Insights in a post on X. Though, “if you are someone who *just* writes code, you need to start thinking differently.” So, is the future leaving coders behind? In the near future, there are predictions that software engineering would become all about managing a team of AI agent engineers, and telling them how to code. This will make every engineer akin to an engineering manager, delegating basic tasks to coding agents while focusing on higher-level aspects such as understanding requirements, architecting systems, and deciding what to build.
Enjoy the full story here. | | | | | Should you panic? Francois Chollet, the creator of Keras, said a few months ago: “There will be more software engineers (the kind that write code, e.g. Python, C or JavaScript code) in five years than there are today.” He added that the estimated number of professional software engineers today is 26 million, which would jump to 30-35 million in five years. This is because developers who are proficient with coding without code generators can never be replaced. People who built programming languages and foundational tools are still very well versed in coding than people who are just using Cursor and alike to build apps. Sure, there can be an abundance of people building apps in the future, but the scope would just be limited to that. Meanwhile, highly skilled 10x developers would be focusing on leveraging such tools, or possibly finding flaws in them, to create even better software. So to say, creating the next Cursor, or maybe even ChatGPT-like platform for coding. There is an abundance of things that can be done. For instance, focusing on enhancing hardware or building infrastructure for running future workloads can only be comprehended by experts in the field. Companies like Pipeshift AI, Groq, and Jarvis Labs are some of the examples of those working on problems other than coding. The truth is that such AI tools can never replace human intelligence or jobs, only augment them. “Generating working code is only a part of the responsibility,” said VJ’s Insights in a post on X. Though, “if you are someone who *just* writes code, you need to start thinking differently.” So, is the future leaving coders behind? In the near future, there are predictions that software engineering would become all about managing a team of AI agent engineers, and telling them how to code. This will make every engineer akin to an engineering manager, delegating basic tasks to coding agents while focusing on higher-level aspects such as understanding requirements, architecting systems, and deciding what to build.
Enjoy the full story here. | | | | | Best Firm for Data Scientists >> | | Best Firm for Data Scientists is one of India's biggest workplace certification platforms in data science. To nominate your organisation for the certification, fill out the form here. | | | | | | | Top Stories of the Week >> | | | | | | | Meet Bython, the Python With Braces | | | Python has long been celebrated for its simplicity and readability. However, for developers coming from languages like C++ or Java, this syntax can sometimes feel unfamiliar or challenging. This problem served as an inspiration for Bython, humorously dubbed ‘Python with braces’. Learn more about Bython here. | | | | | | | | | | | NVIDIA, Apple Blow OpenAI’s Bubble In a strategic move that underscores the growing collaboration between tech giants, NVIDIA, Apple, and Microsoft are reportedly eyeing investments in OpenAI’s latest funding round. This could value the company at over $100 billion, as it continues to innovate with new products and partnerships, including integrating ChatGPT into Apple’s ecosystem and more. Read the full story here. US Leads AI Safety with OpenAI, Anthropic Joining National AI Institute Last week, in a one-of-a-kind effort, Open AI signed an MoU with the US Artificial Intelligence Safety Institute (US AISI), which is part of the larger US Department of Commerce’s National Institute of Standards and Technology. This collaboration is aimed at furthering OpenAI’s commitment to safety, transparency and human-centric innovation by building a framework that the world can contribute to. This would enable the US AI Safety Institute to get early access to test and evaluate future models prior to their public release. Anthropic has also agreed to sign this partnership. Now the question is, should India also establish an AI Safety Institute, akin to those in the UK and the US, to responsibly manage the rapid growth of AI technologies? Read to find out. | | | | | | | Unlocking the Potential of RAG Models in Enterprise AI: Insights from NVIDIA’s Latest Workshop NVIDIA, in collaboration with AIM, recently hosted an in-depth online workshop led by Sagar Desai, a senior solutions architect specialising in LLMs and production deployment using NVIDIA’s stack. This workshop, part of the NVIDIA AI Forum Community, was aimed at exploring advanced techniques and best practices for optimising RAG models to achieve enterprise-grade accuracy. Check out the workshop recording here. | | | | | | | | | AI Videos >> Glimpse of Intuit’s ‘Women in Data Science’ Conference | | | Intuit, in collaboration with AIM, hosted the inspiring ‘Women in Data Science’ (WiDS) conference in Bengaluru on June 27, spotlighting AI-driven content generation and ethical AI across fintech and healthcare, empowering women and fostering innovation in data science. Catch the event highlights in the video below.
https://www.youtube.com/watch?v=zcy4Vbjabx0 | | | | | | | | | World’s biggest AI conference is just around the corner. Mark your calendars for Cypher 20204! The Cypher India edition is scheduled to be held in Namma Bengaluru from September 25 to 27, while Cypher US will be held in Santa Clara, California from November 21 to 22, 2024. What are you waiting for? Register today! | | | | | | | | | | | | | | | | | | | - NPCI, IRCTC, and CoRover unveiled ‘conversational voice payments’ for UPI at Global Fintech Fest 2024, powered by BharatGPT, enabling users to complete transactions using just their voice or by entering their UPI ID.
- Meta, in collaboration with Waymo and USC, recently introduced Transfusion, a multi-modal model that integrates text and image generation by combining language modelling with diffusion techniques.
| | | | | | | | | | | | | For Brand collaborations, reach out to us at info@aimmediahouse.com Stay tuned for more insights in our next edition! | | We love hearing from our readers! Have thoughts on our new format? Questions, comments, or ideas are always welcome. If there’s a specific topic in AI or analytics that you're curious about, tell us! | | | | | | | | |
Комментариев нет:
Отправить комментарий
Примечание. Отправлять комментарии могут только участники этого блога.