redfox🛡️🛰️

X에 올린 머니플로우 조회수 1.5만에 좋아요 237개, 댓글 35개 토스에 올린 머니플로우 조회수 1만도 안되는데 좋아요 226개, 댓글 78개. 난 여태까지 X가 내 본진이라고 생각했었는데 ㅋㅋ 댓글과 좋아요 화력 차이가 이렇게 나는건 좀 실망스럽네 ㅋㅋ

와... 미친 11년 잠긴 비트코인 400k 클로드 Ai로 비번 7조 번을 돌리고 복구해버림 대학 때 만취해서 바꿔놓고 11년간 잊어버린 비트코인 비번이 'lol420fuckthePOLICE!*:)' 였대요 ㅋㅋㅋ 옛날 대학 컴퓨터 폴더 통째로 Claude한테 던지니까 지갑 파일 찾아내고 복구 도구 버그까지 고쳐서 풀어냄 "다 줄 테니 알아서 찾아내" goal 쓴건가? 어떻게 했누..

These are real numbers in production with an enterprise client during our first week of the SERV Reasoning Private Beta. For those who are new, SERV Reasoning is a proprietary AI reasoning API that solves the biggest issue in AI Agents today: > their ability to produce reliable results, consistently at an economically feasible price point. It is the largest bottleneck in AI adoption across startups, enterprise, and governments. The product is currently in private beta, and has already been deployed across 10+ enterprises, the UAE Government, and multiple startups in prediction markets, compliance, DeFi, private AI, banking and more. > How does it work? Instead of asking a model to think step by step in open prose, SERV Reasoning binds the model to execute a custom reasoning graph expressed in machine-native code (Mermaid flowchart syntax, for the technical readers). The core graph mechanic splits the problem into two phases: 1. A high-capacity model generates the reasoning graph. Branches, validation checkpoints, decision nodes, all laid out explicitly as a plan. 2. A smaller model executes the graph at inference time, node by node. It follows the plan. It doesn't improvise. And now, with a simple one-line code change, any production AI Agent system can benefit from this reasoning engine. We're already seeing insane results in production with our enterprise users, see quoted tweet below. This is all backed by a full academic research paper we published in December, co-authored by an NVIDIA AI researcher. It is currently undergoing peer review. And this is all just the beginning. We've got a stacked roadmap for this product with: > Shadow agents > Sharding Graphs > Morpheme-aware LLMs > Our own fully custom built models 100x improvements in performance-per-$ in production with our first enterprise users is literally just the start. SERV.

Greg Ivanov joins SERV as key advisor. ex-Head of Partnerships at Google, GP at 227 - early backers of Pendle, Bittensor, RNDR. He grew Google Play into one of the largest developer ecosystems on the planet - now working with us to scale SERV Reasoning across large enterprises.

Greg Ivanov joins SERV as key advisor. ex-Head of Partnerships at Google, GP at 227 - early backers of Pendle, Bittensor, RNDR. He grew Google Play into one of the largest developer ecosystems on the planet - now working with us to scale SERV Reasoning across large enterprises.

$SATL 유증만 안했지 하락한 건 유증 수준이군