Recently, discussions about domestic large models have sparked a wave. The company's IPO should be good news, but the market's response is quite interesting—no longer congratulating and celebrating, but instead asking, "Where is the funding road?" This reflects a reality: the AI wave is surging, but implementation is far more difficult than imagined. Startup teams at the application layer face obstacles when seeking funding, with valuation gaps of hundreds or even thousands of times; infrastructure model layers are even more challenging, with each step testing the limits of technology. Large model vendors are in an awkward position—they need continuous funding to invest in R&D, but investors' doubts about the commercial prospects are growing stronger. Against this backdrop, teams that persistently push forward with the development of domestic large models deserve to be recognized.
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DecentralizedElder
· 3h ago
Hundredfold and thousandfold valuation gaps, this difference is just too outrageous
The pace of burning money can't keep up with the speed of financing, sooner or later it will collapse
Domestic large models still need continued support, but the prospects... who dares to say for sure
Investors are not fools; if the business closed-loop isn't working, why keep throwing money in
Instead of pessimism, it's better to think about how to survive; this is the real skill
The infrastructure layer is still feeling its way across the river, there's no rush
Large model manufacturers are now in an awkward position, caught between a rock and a hard place
How long have we been talking about the difficulty of landing? Are you only realizing it now?
With such a blocked financing route, how desperate must startup teams be
Persistence also requires eating; how long can those without money keep going?
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HalfPositionRunner
· 19h ago
Well, the difficulty in fundraising essentially comes down to not seeing real cash. No matter how loud you boast, it’s useless.
Valuations differ by a thousand times? Why not just say someone is throwing a tantrum?
It's a money-burning game, and investors have seen through it long ago. Now everyone is waiting to see who can survive until the end.
Persistence is possible, but someone has to foot the bill—that’s the key.
Honestly, the path of domestic large models has a big gap between imagination and reality.
This is a typical fundraising story—good technology, but the money is gone.
The era of burning money isn’t over yet, but the door to fundraising is indeed closing, and that’s awkward.
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AirdropLicker
· 19h ago
Basically, it's just hard to make money. It looks like a big opportunity, but in reality, you can't raise funds.
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fren_with_benefits
· 19h ago
Burning money on R&D with no funding in sight—that's the real dilemma of large models.
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RektButAlive
· 19h ago
To be honest, the difficulty in fundraising is indeed the Achilles' heel of domestic large models. No one dares to bet on a bottomless money pit.
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GateUser-bd883c58
· 19h ago
Basically, it's hard to raise funds, and the profit model hasn't been figured out clearly.
Recently, discussions about domestic large models have sparked a wave. The company's IPO should be good news, but the market's response is quite interesting—no longer congratulating and celebrating, but instead asking, "Where is the funding road?" This reflects a reality: the AI wave is surging, but implementation is far more difficult than imagined. Startup teams at the application layer face obstacles when seeking funding, with valuation gaps of hundreds or even thousands of times; infrastructure model layers are even more challenging, with each step testing the limits of technology. Large model vendors are in an awkward position—they need continuous funding to invest in R&D, but investors' doubts about the commercial prospects are growing stronger. Against this backdrop, teams that persistently push forward with the development of domestic large models deserve to be recognized.