AI 2027 predicts generally superintelligent AIs in 2028. This supplement introduces our framework for thinking about the progression from AIs that are superhuman coders to generally superintelligent, and justifies why we think it's plausible the progression would take about 1 year.| ai-2027.com
Antonio Cuni, who is a longtime Python performance engineer and PyPy developer, gave a presenta [...]| LWN.net
Vespa can scale in multiple scaling dimensions:| docs.vespa.ai
In the classic 1986 essay, No Silver Bullet, Fred Brooks argued that there is, in some sense, not that much that can be done to improve programmer productivity. His line of reasoning is that programming tasks contain a core of essential/conceptual1 complexity that's fundamentally not amenable to attack by any potential advances in technology (such as languages or tooling). He then uses an Ahmdahl's law argument, saying that because 1/X of complexity is essential, it's impossible to ever get m...| danluu.com
In March, EpochAI released an AI automation prediction model, which predicts rising wages for the near-term, but a rapidly declining labor share of income in the 2030s.| machinocene.substack.com
To my greatest satisfaction, I’ve recently joined a new project. I started to read through the codebase before joining and at that stage, whenever I saw a possibility for a minor improvement, I raised a tiny pull request. One of my pet peeves is rooted in Sean Parent’s 2013 talk at GoingNative, Seasoning C++ where he advocated for no raw loops. When I saw this loop, I started to think about how to replace it: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30...| Sandor Dargo’s Blog
Why are scalable systems locally-inefficent, and locally-efficient systems unscalable? Plus, new book release!| buttondown.com
I often hear, especially from folks working at younger companies and the tech giants, that the 40 hour workweek is a lie. That “the company” secretly (or not so secretly) always wants you to work more hours and doesn’t care if people are unhappy or burn out. That “they” will keep piling on work with no regard for mental or physical well-being. And while that is certainly true in some places, I think it is the exception, not the norm. More often than not, I think reality is far more ...| thesquareplanet.com
Watch now | Chatted with John Schulman (cofounded OpenAI and led ChatGPT creation) on: How post-training tames the shoggoth & enabled GPT-4o AI coworkers in 1-2 years The plan if AGI comes in 2025 Reasoning traces, long horizon RL, & multimodal agents Plateaus & moats| www.dwarkeshpatel.com
Developers are systems thinkers and yet, most measures of developer productivity are metrics-based, instead of systems-based. In this post, Sourcegraph co-founder and CTO Beyang Liu presents five charts that visualize what really matters for developer productivity.| sourcegraph.com
Application server configuration can make a major impact on the throughput and performance-per-dollar of your Ruby web application. Let's talk about the most...| www.speedshop.co
Island management is a fundamental low level feature of physics engines and can have a big impact on solver design and performance. This was one of the first problems I decided to work on for Box2D version 3 (v3). Since I began working on v3 I’ve been comparing several algorithms for island management. My goal has been to make island building scale better with multiple CPU cores. Here are the three approaches I’ve considered:| box2d.org
Empowering everyone to build reliable and efficient software.| blog.rust-lang.org
A common topic of discussion among my close friends is where the bottlenecks are in our productivity and how we can execute more quickly. This is very different from what I see in my extended social circles, where people commonly say that velocity doesn't matter. In online discussions about this, I frequently see people go a step further and assign moral valence to this, saying that it is actually bad to try to increase velocity or be more productive or work hard (see appendix for more exampl...| danluu.com
AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.| gwern.net
