The One About The Web Developer Job Market
- Baldur Bjarnason tl;dr: (1) Finding a non-bullshit job is likely only going to get harder. (2) The overall developer job market will continue to fluctuate, but without dramatic change there isn’t much on the horizon that seems likely to turn the decline around. (3) Finding effective documentation, information, and training is likely to get harder, especially in specialised topics where LLMs are even less effective than normal.featured in #500
What I Learned From Looking At 900 Most Popular Open Source AI Tools
- Chip Huyen tl;dr: I think of the AI stack as consisting of 4 layers: (1) Infrastructure: Toolings for serving, vector search and database. (2) Model development: Toolings for developing models and anything that involves changing a model’s weights. (3) Application development with readily available models. This is the layer that has seen the most actions in the last 2 years and is still rapidly evolving. (4) Applications: Most popular types of applications are coding, workflow automation, information aggregation.featured in #499
The Demise Of Coding Is Greatly Exaggerated
- Murat Demirbas tl;dr: “Natural language is ambiguous and not suitable for programming. LLMs still need to generate code to get things done. If not inspected carefully, this incurs tech debt at monumental speed of the computers. The natural language prompts are not repeatable/deterministic, they are subject to breaking any time. This makes "natural language programming" unsuitable for even small sized projects, let alone medium to large projects.” Murat also believes that certain tasks require too much expertise to be completed by an LLMs as they stand.featured in #498
Meta's New LLM-Based Test Generator Is A Sneak Peek To The Future Of Development
- Leonardo Creed tl;dr: “Meta claims that this “this is the first paper to report on LLM-generated code that has been developed independent of human intervention (other than final review sign off), and landed into large scale industrial production systems with guaranteed assurances for improvement over the existing code base.” Furthermore, there are solid principles that developers can take away in order to use AI effectively themselves.”featured in #492
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The Largest Money-Printing UI Element Ever Made
- Jim Nelson tl;dr: "The largest source of money flowing into the world of programming languages comes from Google paying to be the default search engine... Google took in $283bn in revenue in one year. Of that, $49bn went towards “traffic acquisition costs” which includes Google paying other browsers for the preference of being the default search engine."featured in #473
Tech Predictions For 2024 And Beyond
- Werner Vogels tl;dr: From the CTO at Amazon: (1) Generative AI becomes culturally aware with LLMs trained on culturally diverse data. This cultural fluency promises to make generative AI more accessible to users worldwide. (2) FemTech finally takes off and an abundance of data unlocks improved diagnoses and patient outcomes. (3) AI assistants redefine developer productivity turning into teachers and collaborators that provide support throughout the software development lifecycle. (4) Industry-led skills-based training programs will emerge that more closely resemble the journeys of skilled tradespeople.featured in #469
The Rise And Fall Of Spot Instance Pricing In 2023
- Phil Andrews tl;dr: Dive into our latest deep-dive on spot instance pricing trends over the past year. Azure's prices skyrocketed by 108%, while GCP surprised everyone with a 26% drop. AWS? Somewhere in between. Discover the regions and instance types that saw the most dramatic shifts and learn how our game-changing "scheduled rebalancing" tool can save you big bucks in this ever-evolving cloud pricing arena. Don't miss out on these crucial insights – perfect for refining your cloud strategy.featured in #456
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