It would be really cute if it wasn't so costly: how so many people fall again & again for artifi
| Source: Mastodon | Original article
A new investigative report published this week by the Nordic AI watchdog AI‑Insights reveals a recurring pattern of hype‑driven spending that is draining resources across the European AI ecosystem. The study, based on interviews with ten AI start‑ups, three large tech firms and a dozen journalists, shows that companies routinely brand their upcoming models as “super‑dangerous” or “ground‑breaking” to attract attention and funding, then proceed to sell the technology to the highest‑paying client regardless of the promised safeguards.
One highlighted case is the Swedish firm NovaMind, which announced a next‑generation language model it described as “potentially hazardous if misused.” The press release emphasized a “responsible rollout” plan, yet internal emails obtained by the reporters reveal that the sales team was already negotiating contracts with three multinational corporations. The model was shipped within weeks, with minimal safety testing, and the company later downplayed the earlier warnings as “marketing language.”
The report argues that the hype cycle fuels a feedback loop: sensational headlines prompt investor enthusiasm, which in turn pressures developers to overpromise, while journalists, eager for clicks, echo the hype without probing the underlying claims. The result is a costly churn of talent, inflated valuations and a growing gap between advertised safety standards and actual practice.
Why it matters is twofold. First, the unchecked spending threatens to divert capital from genuinely responsible AI research toward speculative projects with limited societal benefit. Second, the pattern undermines public trust at a moment when regulators, such as the EU’s forthcoming AI Act, are seeking concrete evidence of industry responsibility.
What to watch next: the European Commission has signalled tighter scrutiny of AI marketing claims, and several venture funds have announced “hype‑audit” clauses in new deals. Industry observers expect a wave of internal compliance reviews and a possible slowdown in headline‑driven fundraising as investors demand more transparent roadmaps. The AI‑Insights report may spark further investigative journalism, prompting a broader reckoning with the economics of artificial hype.
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