> I assumed were still many months away from this happening, but was proved wrong with the Devin demo - even though it can only perform simple development tasks now, there’s a chance that this will improve in future.
Doesn't Devin run using GPT-4? And as such, with all generative AI technologies, its performance is subject to the common challenges faced by these systems.
Mainly the transformer model, which is the foundation of GPT-4, is known for its linear scalability. This means that as more computational resources are allocated, its performance improves. However, this scalability is subject to diminishing returns, reaching a point where additional resources yield minimal improvements. This theoretical "intelligence" limit suggests that while continuous advancements are possible, they will eventually plateau.
The future of software development will continue to involve human software engineers until we achieve true Artificial General Intelligence. Regardless of when or if AGI becomes a reality, your skills and expertise in your niche domain will remain valuable assets. While companies may leverage AI-powered software engineering tools to augment their workforce and in effect replace you, you as a skilled professional can do the same.
If you possess a deep understanding of your core domain and a passion for building useful products, you can leverage AI software engineering tools, AI-powered design assistants, and AI-driven marketing solutions to launch new startups more efficiently and with less capital investment, especially in the realm of software-centric businesses.
So, the way I see it, it is the businesses that need to be afraid, if AI becomes capable enough to start replacing their workers, as it will also make it easier for most software engineers and product managers to build competing products in their areas of specialization.
Doesn't Devin run using GPT-4? And as such, with all generative AI technologies, its performance is subject to the common challenges faced by these systems.
Mainly the transformer model, which is the foundation of GPT-4, is known for its linear scalability. This means that as more computational resources are allocated, its performance improves. However, this scalability is subject to diminishing returns, reaching a point where additional resources yield minimal improvements. This theoretical "intelligence" limit suggests that while continuous advancements are possible, they will eventually plateau.
The future of software development will continue to involve human software engineers until we achieve true Artificial General Intelligence. Regardless of when or if AGI becomes a reality, your skills and expertise in your niche domain will remain valuable assets. While companies may leverage AI-powered software engineering tools to augment their workforce and in effect replace you, you as a skilled professional can do the same.
If you possess a deep understanding of your core domain and a passion for building useful products, you can leverage AI software engineering tools, AI-powered design assistants, and AI-driven marketing solutions to launch new startups more efficiently and with less capital investment, especially in the realm of software-centric businesses.
So, the way I see it, it is the businesses that need to be afraid, if AI becomes capable enough to start replacing their workers, as it will also make it easier for most software engineers and product managers to build competing products in their areas of specialization.