Things We Learned About LLMs In 2024
- Simon Willison tl;dr: “A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments.”featured in #580
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Tech Predictions For 2025 And Beyond
- Werner Vogels tl;dr: “The rise of intention-driven technologies is reshaping our relationship with the digital world, promoting focus and well-being over mere attention capture. All the while, a mission-driven workforce is emerging, more eager to tackle hard human problems than chase the bottom line. In the coming years, using technology for positive impact will not just be possible—it will redefine the way we think about success.”featured in #573
5 Non-LLM Software Trends To Be Excited About
- Leonardo Creed tl;dr: “It’s true that LLMs are revolutionary, and while I work with LLMs daily, there are so many other things that are fascinatingly progressing. I go over some topics below and provide a host of links for each topic for those interested in learning more. I see these topics as trends that are only growing as time goes on.”featured in #566
The Slow Evaporation Of The Free / Open Source Surplus
- Baldur Bjarnason tl;dr: Baldur argues we’ve been in a FOSS surplus due to the software industry’s high margins and wealth created by engineers, allowing both companies and individuals to invest in open source. “The derived FOSS surplus generates billions, if not trillions, of dollars of value for the economy and most of the costs – cost of creation, opportunity cost, and the cost of OSS competing with your more lucrative proprietary products – is absorbed by the makers.”featured in #546
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Top 18 Products Launched With Speech AI
- Jesse Sumrak tl;dr: Whether you're a developer, founder, or product innovator, these fast-growing products are shaping the Speech AI space and demonstrating the endless possibilities unlocked by this technology.featured in #534
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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