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Korea narrows its AI model race to three, then plans to fund only two
Upstage, SK Telecom and LG AI Research passed the second-stage evaluation on usability rather than benchmarks. A third stage cuts the field to two as early as year-end.
The Investor · Invest desk
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What happened
- The Ministry of Science and ICT held a briefing on the second-stage evaluation of homegrown AI foundation models at the Government Complex Seoul on the 18th, announcing that Upstage, SK Telecom and the LG AI Research Institute had passed.
- Of the four elite teams, Motif Technologies finished last and was eliminated.
- Real-world usability, rather than benchmark performance, determined the outcome, and the competitive arena is widening into public administration, manufacturing, defense and education.
- In the user evaluation, worth 25 points, the overall average was 17.6 points, and the gap between first and fourth place was 5 points, the widest of the three evaluation categories.
- Vice Minister of Science and ICT Ryu Je-myung said the government is discussing a plan to completely overhaul its support approach, moving away from a method that selects only a few winners; after a third-stage evaluation, two teams will be chosen as early as the end of this year.
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Why it matters
South Korea's Ministry of Science and ICT said at a briefing at the Government Complex Seoul on the 18th that Upstage, SK Telecom and the LG AI Research Institute had passed the second-stage evaluation of its homegrown AI foundation model program, while Motif Technologies finished last of the four elite teams and was eliminated [1][2]. The field is now three [8], and according to the Seoul Economic Daily's account it was real-world usability rather than benchmark performance that decided the outcome, with the competitive arena widening into public administration, manufacturing, defense and education [3].
The number worth staring at is the user evaluation. It was worth 25 points, the overall average came in at 17.6, and the gap between first and fourth place was 5 points, the widest of the three evaluation categories [4]. That average is roughly 70 percent of the available marks [6], and the spread equals a fifth of the category's total weight [7]. Read plainly: nobody aced the part where people actually use the model, and the separation between teams showed up there rather than on a leaderboard.
Then the policy turn, which is the more consequential half. Vice Minister of Science and ICT Ryu Je-myung said the government is discussing a plan to completely overhaul its support approach, moving away from a method that selects only a few winners, and that after a third-stage evaluation two teams will be chosen as early as the end of this year [5]. Those two statements point in opposite directions at once: broaden support in principle, narrow from three funded teams to two in practice [12]. For operators, the near-term fact is that one of the three survivors loses its place within months [12], and that a state designation is not the same thing as a deployment inside the ministries, plants and defense programs the source frames as the expanding arena [3][5].
The capital backdrop in the same daily briefing is not flattering to sovereign-scale ambitions. Funds flowing into the global IPO market in the first half of this year reached $205.1 billion, three times the year-earlier level, while the number of listings rose just 8 percent to 689 and the U.S. share of inflows expanded to 75 percent from 44 percent [9]. SpaceX alone drew $86.25 billion after its June Nasdaq listing, 42 percent of the global IPO market [10]. European Central Bank economists warned the same day that a correction in U.S. tech stocks is inevitable [11]. Money is concentrating in a handful of very large assets; a national program that awards two slots is doing something structurally similar with a much smaller pot.
What to watch: the design of the third-stage evaluation, and specifically whether usability keeps or increases its 25-point weight now that it has proved to be the discriminating category [4]; which two of Upstage, SK Telecom and LG AI Research are selected, and whether the third retains any support once the promised overhaul is spelled out [5][12]; and whether any of the three can show paid, running deployments in public administration, manufacturing or defense rather than pilots [3].