Using TypeSafe AI in Bug Bounty
Using TypeSafe AI in Bug BountyBen Lampere9 hours ago4 min read Today I got access to TypeSafe. If you aren't familiar with the product, it's an ultra-fast and incredibly cheap AI model. When I say cheap, I'm talking $0.042 per million input tokens, with output tokens completely free.
- ▪Using TypeSafe AI in Bug BountyBen Lampere9 hours ago4 min read Today I got access to TypeSafe.
- ▪If you aren't familiar with the product, it's an ultra-fast and incredibly cheap AI model.
- ▪When I say cheap, I'm talking $0.042 per million input tokens, with output tokens completely free.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,890 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Lampy Security |
| Canonical URL | https://www.lampysecurity.com/post/using-typesafe-ai-in-bug-bounty |
| Publication time | Mon, 21 Sep 2026 15:34:32 +0000 |
| Retrieval time | 2026-09-21T15:48:49.022Z |
| Last seen | 2026-09-21T15:48:49.022Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | krsYU7ztDP3A · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Using TypeSafe AI in Bug BountyBen Lampere9 hours ago4 min read Today I got access to TypeSafe. If you aren't familiar with the product, it's an ultra-fast and incredibly cheap AI model. When I say cheap, I'm talking $0.042 per million input tokens, with output tokens completely free. They already had $5 credited to my account, and even with fairly heavy usage and zero optimization, I've only spent $1.29 on the first day. But just wait until you hear what I was able to accomplish with that. So, what's different about TypeSafe? It doesn't work like a traditional chatbot such as ChatGPT or Claude. You don't have conversations with it or ask it questions in the same way.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Lampy Security.
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