Fintech leader. Node/Laravel/Rails, Typescript/Javascript/React, React Native/Capacitor for mobile, C#, modular monoliths, and a penchant for problem-solving and applying math for fun and profit.
It's a real step forward, getting closer to SOTA. It seems to be very epistemically cautious in its reasoning. I hope Deepseek and the other open-weights labs stay in the game and catch up too.
Touche. Honestly, if there's going to be speculative fever in society that you can't suppress, it should be captured for better purposes, such as through your LTSE. Bring access to it to Asia sometime.
The idealism that has been sucked out of the tech industry. It was so (naively) hopeful at one point, and now the arms race and profit-maximization has eroded it all. Your observations really resonate with me.
I'm surprised I hadn't heard of the Long-Term Stock Exchange, it seems like a much healthier direction for the market.
I'm not sure it's so black and white. Directing capital is powerful, and directing spending is powerful (but probably harder; this is marketing or government). I think it's more that directing spending requires influencing a lot more people than directing capital.
I'm building Subweb.net (not ready yet, it's just a few test feeds without the LLM pipeline turned on yet) to LLM-tag RSS feed items with topic, relevance/interest, location, and translations, and present them as feeds. I'm thinking I could maybe let users specify their preferred custom prompts and ranking params or similar, though the standard prompt is already fine.
I think the open web needs to come back, but in a fair way for everyone, giving readers control over their feeds while also sending traffic and comments back to the original sources. Not quite sure how to do that yet.
"Seam" has been stretched by AI from its original legacy-code context to any point in code where something can be plugged in. I actually asked an AI about this a few weeks ago because I was surprised by the consistent, frequent use of "seam".
Frequent words I see from GPT: "shape", "seam", "lane", "gate" (especially as verb), "clean", "honest", "land", "wire", "handoff", "surface" (noun), "(un)bounded", "semantics" (but this one is fair enough), and sometimes "unlock"
It feels like AI really likes to pick the shortest ways to express ideas even if they aren't the most common, which I suppose would make sense if that's actually what's happening.
• Reasoning: Through the expansion of reasoning tokens, DeepSeek-V4-Pro-Max demonstrates superior performance relative to GPT-5.2 and Gemini-3.0-Pro on standard reasoning benchmarks. Nevertheless, its performance falls marginally short of GPT-5.4 and Gemini3.1-Pro, suggesting a developmental trajectory that trails state-of-the-art frontier models by approximately 3 to 6 months. Furthermore, DeepSeek-V4-Flash-Max achieves comparable performance to GPT-5.2 and Gemini-3.0-Pro, establishing itself as a highly cost-effective architecture for complex reasoning tasks.
• Agent: On public benchmarks, DeepSeek-V4-Pro-Max is on par with leading open-source models, such as Kimi-K2.6 and GLM-5.1, but slightly worse than frontier closed models. In our internal evaluation, DeepSeek-V4-Pro-Max outperforms Claude Sonnet 4.5 and approaches the level of Opus 4.5.
While they're some months behind closed SOTA (though benchmarks put them close), I wonder if Deepseek 4's longer context capabilities and kv-cache advantage will make up for this
Reposting this for comparison in light of the Ugandan chimpanzee war. Another multi-year war between members who were originally part of the same tribe.
r/codex is reporting that $20 (Plus) seems to have had its usage limit reduced (some people are saying it feels like 1/3 the previous limit now). The theory[1] is that reducing $20's limit lets them claim $200 has 20x $20's limit (and $100 has 10x).
If that's true, then the value comparison is not so positive for Codex any more