I didn’t upgrade to Tahoe after reading a couple of bad reviews. This time around though I may just do the upgrade. Nagging for system upgrade every time I plug my iphone is getting my nerves.
Congrats for publishing a new book. When I jumped into a startup, everyone seemed to have different definitions of MVP. So I just had to read your book The lean startup and realized that there is no one definition of MVP because every successful business can be different. The book also made me think a lot about profitability and got me into indie hacking mind. Although I read it just three years ago, it still held and helped me shape my views. Thanks. I will try to grab your new book someday for sure.
Now, here is my question. I personally got disappointed in how most “early” and “small” startups operate. I have short experience to be fair but their sole goal seems to be how to get funds and grants and how to get higher valuation. They didn’t have visions and sustainability in mind. It felt like they are doing gambling rather than running a business. What do you think of this and how would you explain?
If you've been around the ecosystem long enough, you eventually realize how these cycles go. When startups are seen as trendy and a good/easy way to get rich, you get a lot of this gambling behavior in response. When the crash comes (just wait) a lot of those people get flushed out of the ecosystem, and things return to the original motivations: building, exploring, discovery.
I was talking the other day to a Silicon Valley OG and he expressed total disgust to me about the "mercenaries" who have overrun the valley right now and who are destroying the very things that made it great in the first place.
Thanks for answering. A crash happened recently to me and I got myself voluntarily flushed out of the company. Mercenaries is a good way to put it. I guess I will have to keep searching for right people.
I am puzzled by the frontier code graph. GPT 5.5 doesn’t show any improvement with reasoning efforts. This new benchmark by Cognition seemed to be released with Fable 5’s announcement.
I am not trying to cook a theory here but it generally shows how strong Claude Opus family is. I am not saying that Opus is not powerful but it doesn’t align with my experience of GPT 5.5 and Opus 4.7.
I understand that Fable and Mythos are frontier models that can do protein folding better than task-specialized ones. To be honest, for practical point of view, for day-to-day coding assistance, GPT family looks more reasonable.
(But then my company pays for claude max anyway for token maxxing. So who am I to complain)
It’s just funny that I get to know about this sort of Korean policies in HN not from main media (I live in Korea).
I had a few chances to apply for government grants in a startup. There is a lot of blind money for new techs but people managing it are simply not competent enough to understand them. Also, like some comments mentioned, tech infra around their management system is often old and very insecure.
Location: Seoul, South Korea
Remote: Okay. Prefer Onsite
Willing to relocate: No
Technologies: ML, AI, Computer vision, Language model, Agents, Python
Résumé/CV: https://sbinnee.github.io/
Email: sungbin246@gmail.com
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3 years of experience in start-ups right after PhD. I've followed main waves of ML/AI since 2018. Briefly led a small research team. Had experience traveling and pitching ideas around the globe. I am more into engineering which is the primary reason why I didn't stay in academia. Recent projects cover logical reasoning validation of LLMs and agentic optimization and evals.
Is it just an experimental tool by opencode team? If there is some article about this tool, I would love to read it. It’s not clear to me why I should use this instead of git worktree.
My take is that Mistral is not focusing on generating contents such as code, images, or videos. They focus on multi-lingual models, OCR, voice, and others I believe. Their model intro page manifests that although it always confuses me because it's too colorful and there are too many categories, not to mention model names. I hope their decisions will pay off.
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