What does "instance" in this case refer to?
Does he mean something along the lines of advanced search filter/engine? because it can be done now, using the usual tools.
There is no way that I could think about his comment and make sense of it.
What do you mean exactly by federated in this context?
What is getting federated in your ideal scenario?
Here is a interesting quote from the article:
"How The Hell Is This So Much Cheaper?
That's a bloody good question, and because I'm me, I have a hypothesis: I do not believe that the companies making foundation models (such as OpenAI and Anthropic) have been incentivized to do more with less, and because their chummy relationships with hyperscalers were focused almost entirely on "make the biggest, most hugest models possible, using the biggest, most hugest chips," and because the absence of profitability didn’t stop them from raising more money, efficiency was never a major problem for them.
Let me put it in simpler terms: imagine living on $1,500 a month, and then imagine how you'd live on $150,000 a month, and you have to, Brewster's Millions style, spend as much of it as you can to complete the mission of "live your life." In the former example, your concern is survival — you have a limited amount of money and must make it go as far as possible, with real sacrifices to be made with every dollar you spend. In the latter, you're incentivized to splurge, to lean into excess, to pursue a vague remit of "living" your life. Your actions are dictated not by any existential threats — or indeed future planning — but by whatever you perceive to be an opportunity to "live."
OpenAI and Anthropic are emblematic of what happens when survival takes a backseat to “living.” They have been incentivized by frothy venture capital and public markets desperate for the next big growth market to build bigger models and sell even bigger dreams, like Dario Amodei of Anthropic saying that your AI "could surpass almost all humans at almost everything" "shortly after 2027." Both OpenAI and Anthropic have effectively lived their existence with the infinite money cheat from The Sims, with both companies bleeding billions of dollars a year after revenue and still operating as if the money will never run out. If they were worried about it, they would have certainly tried to do what DeepSeek has done, except they didn't have to, because both of them had endless cash and access to GPUs from either Microsoft, Amazon or Google.
OpenAI and Anthropic have never been made to sweat, receiving endless amounts of free marketing from a tech and business media happy to print whatever vapid bullshit they spout, raising money at will (Anthropic is currently raising another $2 billion, valuing the company at $60 billion), all off of a narrative of "we need more money than any company has ever needed before because the things we're doing have to cost this much.""
Ahh, how many zeros can you count?
I am super confused about the whole thing.
This is literally a perfect fit for this community.
As I said on my other comment:
Cromite, Brave(with privacy setup), DuckDuckGo browser, Vivaldi.
After understanding your opinion, your comment seem to be reasonable but was put with bad presentation, imo.
I think being cautious might be a good point here. We are very early here and we will definitely see a better benchmarks for this model as the time pass. Which will prove or disapprove their benchmarks.
The title is "how a small Chinese AI company is shaking up US tech heavyweights."
I am not saying that this criticism is not valid, what I was arguing for here is that the best USA LLM is also censored in comparsion, so the fact that we got something opensource that we can uncensor is better than ChatGPT closed and censored model.
As far as I know, the only used LLM family that is uncensored and can function locally is Mistral AI models.
To put it simply, DeepSeek could be decensored. But it will take time to do so.
Obviously I am hyped about DeepSeek. With that in mind:
fake benchmarks
Any proof for this?
censored llm
Is ChatGPT uncensored?
You can already follow the journals you want via RSS.