Hey Ege such a good and insightful question 😊 Would you like a refreshing Monster energy drink while we delve into this topic further. 🥤
This is a huge acquisition in the open source software world. Bun has become very popular in TypeScript and JavaScript, with many companies using it for their runtime. Although Bun will remain open source, I am curious about its future evolution.
Anthropic is acquiring @bunjavascript to further accelerate Claude Code’s growth. We're delighted that Bun—which has dramatically improved the JavaScript and TypeScript developer experience—is joining us to make Claude Code even better. Read more: anthropic.com/news/anthropic…
Constant, fast iteration ie continuously improving the design, introducing new features, and making existing ones faster and cheaper is what truly differentiates a product. That’s why it stands apart from simple AI clones imo.
I worry that nearly all startups and software/design companies will get wiped out by AI that can simply clone their product -- it's difficult to maintain high margins or ACV when faced with infinite competition How will your startup survive? Is it even possible?
According to benchmarks it seems like DeepSeek cooked with this release
🏆 World-Leading Reasoning 🔹 V3.2: Balanced inference vs. length. Your daily driver at GPT-5 level performance. 🔹 V3.2-Speciale: Maxed-out reasoning capabilities. Rivals Gemini-3.0-Pro. 🥇 Gold-Medal Performance: V3.2-Speciale attains gold-level results in IMO, CMO, ICPC World…
I wonder this as well how well Claude Code is written :D
My conspiracy theory is that Anthropic is all in on vibe coding and keeps Claude Code closed because they are lowkey embarrassed about the quality of the code :P
It is hard to believe it has been three years…
1. That’s true in general, and AI also improves software quality by helping create better tests, refactor code more safely, and migrate systems much faster. 2. Yes, AI now enables extremely fast prototyping and significantly faster development.
Now you can share your mrr directly from stripe let’s see the real mrrs of companies :D
Ilya says ages of scaling is over and research is back. We need to get ready for new ideas to enhance the AI instead of just compute according to Ilya .
The @ilyasut episode 0:00:00 – Explaining model jaggedness 0:09:39 - Emotions and value functions 0:18:49 – What are we scaling? 0:25:13 – Why humans generalize better than models 0:35:45 – Straight-shotting superintelligence 0:46:47 – SSI’s model will learn from deployment…
Seems like a pretty good model for coding still expensive but much cheaper to its predecessor Opus 4.1. Claude’s almost all focus on currently on coding hence let’s see how it performs on real life tasks .
After the success of training models specifically for a given task, like GPT Codex for coding and Sonnet with its strong focus on coding, there should be more domain specific models like GPT Finance or GPT Math where they excel at a specific task.
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