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recent
p/general
by
Rohan Chaubey
•
7mo ago
Anthropic Alleges Industrial-Scale “Distillation Attacks” by DeepSeek, Moonshot and MiniMax
... 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
3
23
p/migma-ai
by
Adam Lababidi
•
1yr ago
What stops OpenAI from building this?
... matter what you're building, investors new favorite question : "What stops OpenAI from doing this?" For @
Migma
AI
: 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 ...
7
17
p/general
by
Nika
•
1yr ago
How do you approach email marketing when you want to sell products?
... form like videos or tips and I tend to get more personal with the story telling or expand deeper than I otherwise do on social media where attention spans are shorter and the objective is to slow the scroll
vs
deepen a relationship. 3) How often do you sell your product directly? I'm not a huge Gary V fan, but his jab, jab, jab, left hook analogy makes a lot of sense where you're giving value (jabbing) most ... ... emails are just what was generated by our users. Unfortunately, the dataset is not publicly available and we had to work on each email individually. Comment from Adam Lababidi(@adam_lab): Hey Nika, I guess you're familiar with @
Migma
15
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