... exchanges ~24,000 fraudulent accounts Proxy networks to bypass regional restrictions Targeted extraction of reasoning, coding and tool-use abilities Distillation is a common technique for training smaller models from larger ones. The controversy here is using a competitor s model outputs at scale without permission. What Anthropic Claims DeepSeek (~150k exchanges): Extracted step-by-step reasoning and censorship-safe reformulations. Moonshot (~3.4M exchanges): Targeted agentic reasoning, coding, tool use, and vision. MiniMax (~13M exchanges): Focused on agentic coding ... ... deploying new detection systems, strengthening account verification, and sharing intelligence with other labs. No public response from the accused labs yet. Question for the Product Hunt community: Where s the line between aggressive benchmarking and illicit distillation? @Migma

... matter what you're building, investors new favorite question : "What stops OpenAI from doing this?" For @MigmaAI : we operate on the software layer while OpenAI provides the foundation models. they re pushing toward AGI, not building specialized vertical products. email requires deep integrations, brand learning, cross-client rendering, and a compiler we built in-house. OpenAI won t spend years perfecting how 40+ email clients render html but that s exactly our edge. Look at how they acquired @Windsurf ...

... those newsletters you used for training? Comment from Nika(@busmark_w_nika): @bhargav5394  what about when your goal is to promote a hackathon? What should I share there besides hackathon things? (The hackathon is oriented to vibe-coding, AI, and networking) :) Comment from Nika(@busmark_w_nika): @mattbrattin  For sure, I don't know much about Kajabi, so you've tempted me to take a look at it! :D Comment from Bhargav Patel(@bhargav5394): @busmark_w_nika  hackathon ... ... able to do what I need. I've heard great things about substack as well, but I admittedly know less about it. Comment from Adam Lababidi(@adam_lab): Hey Nika, I guess you're familiar with @Migma