If you're on Bandcamp or Soundcloud it's usually because you want to support artists directly, I doubt many people are purely interested in getting free music rips.
Completely agree. Slow but smart models (Fable, Sol, GLM5.2 etc) are great, but they leave me with zero mental model of the code that's been written. Most of the time my mind wanders off and I go check social media or fire off a prompt for some other random project, it's a big productivity drain.
Working with models that are super fast, but slightly dumber (like mimo-v2.5-pro-ultraspeed) is amazing, I feel like I'm still the one that's actually making every decision.
I'm not a regular v2.5 user, so I don't really know. But given the TileRT team write-up says the entire network gets quantized to FP8 (and experts get quantized to FP4)[0], I'm assuming there's at least a modest drop in quality.
Related, I was given access to mimo-v2.5-ultraspeed, which is amazing. This is now my expectation for speed, it’s fast enough for me to stay mentally engaged rather than getting distracted waiting for the agent to churn.
I was playing with Hy3 via openrouter yesterday (and I've also been using DS4 Flash/Pro as a daily driver since I cancelled my Anthropic sub a week ago).
I've found DS4 Flash to be very temperental (via Claude Code). The speed is great, but it often builds a completely wrong mental model and charges off down the wrong path. I find myself needing to rein it in regularly (and also compact the history, which undercuts the whole cache price advantage).
Hy3 isn't as fast, but so far it seems to stay on track much more reliably than DS4 Flash. It also doesn't seem to degrade as much with longer context. I'm not sure what the real pricing is, but I feel like it's a very competitive model.
As an aside, I also nabbed a 50m token pack for LongCat 2.0 to give it a whirl. Not free, but it's so cheap they're basically giving it away. Very impressed too - seems roughly on par with Hy3. Not frontier-level intelligence, but a dependable workhorse that can navigate a codebase well and can reliably execute what you tell it to do.
From my brief window of Fable usage, speed wasn't its strong point at all.
For actually building software, I'm starting to suspect a human with a dumber (but faster) model is going to get the job done quicker than Fable (and possibly even cheaper). Bug-finding and vulnerability detection is a different story.
This is a blast from the past. Knoppix saved my life a few times, it was the easiest way to mount a drive with a broken partition table or something else went that haywire with a dual-boot system. It was also the safest option for doing something on a public computer without leaving a trace (though back then NIC drivers were always a bit finicky).
My first Knoppix CD may have actually come by way of the front cover of Linux Magazine.
Quick Google suggests Uber is up 66% on its IPO price, but the S&P index is up 85% over the same time period. I think Softbank also sold out around 2022, so the return (vs IPO price) would have been even lower. Didn't check for stock splits etc but I don't think Uber was a home-run for Softbank at all.
It makes no difference to me if a coding model has an opinion about Tiananmen Square, Americans bombing schoolgirls in Iran, how many genders there are, or anything else other than designing and writing code.
A coding model is a tool, as long as it follows its user's instructions for building software I don't really care what opinion it spits out about world history.
Yes, it is important to ensure that aren't hidden guardrails that are affecting its ability to perform its function. But the great thing about open weight models is that you can actually evaluate this rigorously, and retrain to remove any prejudices you don't like.
Until recently, DeepSeek were self-financed (it was a spin-out from a hedge fund). They just raised ~50million RMB (US$7bn), and according to media [0] (which admittedly can be unreliable), the lead investors were:
1) The CEO himself
2) Tencent
3) CALT (the battery company)
4) NetEase (internet/media company)
5) JD.com (ecommerce)
6) Chinese investment firms
What are they expecting in return? I'd say the same thing that all those investors in OpenAI and Anthropic are expecting - profit.
What you said is not "a matter of fact" because it's simply untrue.
These companies were not "created by" the Chinese government. Specifically, I'm talking about DeepSeek, Zhipu, MiMo (Xiaomi), Kimi (Moonshot), Qwen (Alibaba). "Subject to" certainly does not mean "created by", it just means that the government ultimately has the power to tell them what to do. The US government has the exact same power, hence why none of us has access to Fable at the moment, but you wouldn't say that OpenAI or Anthropic were "created by" the US government.
There is zero evidence that open-sourcing their models is part of some grand strategy from the Chinese government. In DeepSeek's case, I think it probably is a genuine commitment to open source, for the others I think it's probably just a convenient business decision to gain market share (though Zhipu is probably more aligned, given their academic lineage from Tsinghua).
At some point in the future, the Chinese government may decide it's not in their national interest for Chinese companies to open source their frontier AI models, and DeepSeek et al will be restricted from doing so. I'm well aware of that. But until that point in time, the rest of the world is unanimously better off with open-source Chinese models. We should put as much reliance on Chinese companies long-term as we do on American companies - zero.
None of those companies are created by the Chinese government. They're obviously subject to the Chinese government, whose whims may change at any given moment, but as we're seeing at the moment, so are the American companies.
And while I don't have a very positive view of the Chinese government, last I checked, they haven't been dropping bombs on innocent schoolchildren recently.
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