
Over the past few days, a number of prominent filmmaking content creators including Matti Haapoja and Sam "Kold" Kolder have posted videos of themselves demonstrating what's possible with AI platform Higgsfield. The videos highlight Higgsfield's recently added Seedance 2.5 functionality and pitch these technologies as the future of video production. In response to these videos, other creators started sharing what appear to be screenshots of partnership offers they'd received fr
Will Matti Haapoja publicly apologize or retract his Higgsfield content by August 30, 2026?
Resolves by Aug 30, 2026
Several prominent filmmaking content creators have posted videos demonstrating an AI video platform without disclosing whether they were paid to do so, prompting fans to conclude they were working with the company. The videos present the AI technology as innovative and potentially revolutionary for entertainment production, but lack standard advertising labels. Creators who build large followings based on their own human creativity face particular risk when endorsing AI technology, as many audiences view AI as a threat and may interpret such endorsements as a betrayal of the creator's values. The backlash shows what happens when people with large social media followings promote products that conflict with their audiences' beliefs, a tension that applies broadly to brand partnerships but is especially acute with AI-related products.

Runable says 60%–70% of its 1 trillion-plus token usage in the last 90 days came from paying customers.

Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.

Perplexity has released Portable Computer, a local-first build of its agentic Computer platform that runs the agent harness, orchestrator, planner, tool router and post-trained models directly on NVIDIA DGX Spark. The local model, inference engine, tool sandbox and app connectors ship as one packaged system, every task begins on the device, and work handled by local models carries no per-token charge. When a step needs the live web or frontier reasoning, the orchestrator stops and asks before s
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