For everything from writing a for loop in Bash to remembering how to make a cross-domain CORS request in JavaScript - I don’t need to even look things up anymore, I can just prompt it and get the right answer 80% of the time,” noted Willison. “ChatGPT (and GitHub Copilot) save me an enormous amount of ‘figuring things out’ time. For the founder of the open-source project Datasette, Simon Willison, GPTs enable him to be dramatically more ambitious with what he codes because they change how he codes. ![]() That’s a significant performance boost, and it’s accruing to those developers who figure out how to put LLMs to good use.īut it’s more than that. “You get the LLM to draft some code for you that’s 80% complete/correct you tweak the last 20% by hand,” suggested Sourcegraph developer Steve Yegge. “I have grown used to Copilot uncannily inferring what I am trying to do after writing the first couple of words,” wrote developer Manuel Odendahl. For example, some who have tried Copilot find it quite additive and addictive. The developers I follow are in the latter camp. ![]() You can see that as a replacement for the developer, or you can see it as an enhancement. Take, for example, the ability of Copilot to write code for the developer. GPT-4 cheat sheet: What is GPT-4, and what is it capable of?Ĭompany that launched 2FA is pioneering AI for digital identityĬhatGPT is the fastest-growing area of interest for professional learners, Udemy reports More must-read AI coverageĬhatGPT cheat sheet: Complete guide for 2023 For others, these results have prompted doomsday declarations of the death of the software developer. Small wonder, then, that products like GitHub’s Copilot have amazed some developers with how quickly they can improve productivity. For any LLM and GPT to produce good results, it needs training data - the better the training data, the better the output.įor software, training data is vast and easily accessible. In some ways, software development should be highly susceptible to GPTs. ![]() The trick is to learn how to harness the power of LLMs without being mowed down by them. The same can be true of other jobs and industries. Done right, it makes them much more productive. It’s also likely wrong.Īs we’re learning with developers, yes, large language models can eliminate some repetitive tasks but, no, this doesn’t make software developers obsolete. workforce is at risk of being rendered obsolete by large language models like ChatGPT. By analyzing which jobs could be done at least 50% faster by generative pre-trained transformers, the report authors suggested that 20% of the U.S. Why that’s a good thingĬommentary: Though a new report claims artificial intelligence could replace some jobs, the reality is that people in these roles and others can use AI to do their work much more effectively than before.Īccording to a new study from researchers at the University of Pennsylvania and OpenAI, if you’re an accountant, translator or writer, your job prospects are bleak.
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