Is that why if you ask it... it says it's based on ChatGPT4 ?
Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
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Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#12Its success stems from a refreshingly unconventional approach to innovation. Liang Wenfeng's philosophy of maintaining a flat organizational structure where researchers have unrestricted access to computing resources and can collaborate freely. What's particularly striking is their deliberate choice to stay lean and problem-focused, avoiding the bureaucratic bloat that often plagues AI departments at larger companies…
I don't buy that. Allegedly Google lost to OpenAI because the compute resources were allocated evenly and then each team shared to other teams. So it became a popularity contest instead of meritocratic allocation. And then Pichai tried to merge all the different AI teams making it even worse. From rumors by connected people on podcasts. There has to be some structure to put the best ones first. The key problem is how…
"teams" are a clue to there being an underlying hierarchy and division which may not exist at deepseek. If its a smaller self-organising team of people, there would be no such effect.
It is also common knowledge that google's internal team and advancement politics are already pathological -- against a background of a winner-takes-all, cooperation does not work.
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#13Its success stems from a refreshingly unconventional approach to innovation. Liang Wenfeng's philosophy of maintaining a flat organizational structure where researchers have unrestricted access to computing resources and can collaborate freely. What's particularly striking is their deliberate choice to stay lean and problem-focused, avoiding the bureaucratic bloat that often plagues AI departments at larger companies…
I mean, I guess you could call it unconventional since it was the status quo of basically every super-massive tech company way back in the early days of the tech sector, but has since been utterly eclipsed by like 4 companies the size of nations that can't seem to ship a single app without the input of 6,000 people.
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#14Is that why if you ask it... it says it's based on ChatGPT4 ?
Most LLMs do this due to the proliferation of ChatGPT-generated content in the training data.
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#15Its success stems from a refreshingly unconventional approach to innovation. Liang Wenfeng's philosophy of maintaining a flat organizational structure where researchers have unrestricted access to computing resources and can collaborate freely. What's particularly striking is their deliberate choice to stay lean and problem-focused, avoiding the bureaucratic bloat that often plagues AI departments at larger companies…
Ah yes, classic staying lean and exposing your database[0]
https://www.wiz.io/blog/wiz-research-uncovers-exposed-deepse...
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#16They are nice words, ironically though their product is an exact clone of a US product (apart from the data stealing discussion). You could argue the cheaper aspect is innovating, but that's what China has been doing for many products.
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#17At the heart of all progress is the mantra that "best idea wins".
Maybe DeepSeeks creative use of RL within LLMs will open up founder and VC interest in using RL to solve real problems - I expect to see a cambrian explosion of high growth applied RL startups in engineering,logistics,finance,medicine
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#18Its success stems from a refreshingly unconventional approach to innovation. Liang Wenfeng's philosophy of maintaining a flat organizational structure where researchers have unrestricted access to computing resources and can collaborate freely. What's particularly striking is their deliberate choice to stay lean and problem-focused, avoiding the bureaucratic bloat that often plagues AI departments at larger companies…
The model you described probably works great (not just in AI) as long as it's not your primary and direct source of revenue with which you must pay back investors. Once it becomes your primary and direct source of revenue and you must generate some returns for investors or meet some revenue targets, then whatever you're doing somehow has to align with that revenue stream (often ruining the fun).
Have you seen the "returns" for OpenAI, etc.? All cutting edge research is subsidized by government or megacorps in USA.
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#19[dead]
Re: Interview with DeepSeek Founder: We're Done Following. It's Time to Lead
#20It's a great interview throughout, but I was thrown off by this strange question (which I found to be much more interesting than the answer):
> An Yong: What do you envision as the endgame for large AI models?
I don't know if it has a different meaning/connotation in Chinese, but reading this metaphor with a Chess connotation scared me. If there is a game, who are the players? what is the victory condition? will there be a static stalemate, or a definitive win? and most importantly, will there be an opportunity for future games after it, or is this the final game we get to play?