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Introducing Contrastive Language Model (CLM): an ultra-fast System One Model trained with a contrastive learning objective that connects states and actions. CLM-8B is pre-trained on internet-scale data and delivers up to 9× faster inference than Jev ⚡ while achieving comparable performance across computer-use, gaming, and tool-calling tasks. With lightweight fine-tuning, CLM-8B sets a new SOTA on challenging agentic coding benchmarks, such as DeepSWE (81.6%) and Terminal-Bench 2.1 (87.6%). In contrast, Jev fails to serve as an effective verifier for these long-horizon tasks. We also build an efficient training and serving infra for CLMs by disaggregating states and actions, allowing their embeddings to be cached and reused independently. This substantially reduces inference latency in settings where the state evolves continuously while the action set remains fixed. Finally, we establish scaling laws for CLMs and show that the test contrastive loss decreases predictably as a power law in training compute, model size, and dataset size. 📄 Blog: 💻 Code: 🗣️ Discord: 🤗 Data & Models: More details on CLM’s architecture, data recipe, and scaling laws in the thread below 🧵
Jacky Kwok948,093 次观看 • 1 天前
Introducing ScienceBuddy — a free workspace for scientific agents that improve through researcher collaboration. Use GPT-6 in ScienceBuddy at no cost. GPU-accelerated, and fused with the JEV framework. 🧵 Two loops: 🔹 Inner loop — refines the agent harness 🔹 Outer loop — trains the model with rubric-guided RL Together: Recursive-in-Recursive Self-Improvement. ScienceBuddy explores how scientific agents can improve through sustained collaboration with researchers. 🔬Try it free: #ScienceBuddy #PhAILabs #AI4Science
PhAI Labs1,166,272 次观看 • 2 天前
트리플에스 '보니하니' 김채연이 뒤늦게 인스타로 직접 밝힌 폭행 논란의 전말 1/ 보니하니 당당맨(최영수)-김채연 폭행 논란, 1년 4개월 만에 김채연이 직접 인스타로 전한 해명 요약 타래 🧵 2/ 2019년 라이브 방송 중 '미성년자 폭행' 의혹이 터지며 최영수는 방송에서 즉각 하차했고 이후 검찰에서 무혐의 처분을 받았음. 하지만 당사자였던 하니(김채연)의 직접적인 설명은 종영 시점까지 나오지 않았던 상황. 3/ 2021년 4월 김채연은 인스타를 통해 "당시 일로 상처를 받은 적은 전혀 없었다"며 단순 해프닝이었음을 명확히 밝힘. 최영수와는 여전히 연락을 주고받으며 좋은 선후배로 잘 지내고 있다고 전함. 4/ 이어 당시 전 소속사 명의의 공지만 내고 본인이 직접 빠르게 해명하지 못했던 점을 후회하며, 오랜 시간이 흘렀지만 이제라도 오해가 완전히 풀리길 바란다며 사과를 덧붙임. 오해가 풀려서 다행이고 몇초짜리 영상의 파장이 정말 컸네요.
도베르만657,799 次观看 • 1 天前
This is happening right now in New York. Thousands of people transferring their sins into live chickens. Then the chickens are slaughtered and sent to the same stores as any other chicken. Someone is eating a bird a stranger used as a vessel for their guilt. 🧵 (film link in thread)
Kameron Waters5,139,240 次观看 • 7 天前
🧵The White House repeatedly begged Volodymyr Zelenskyy to stop bombing Russian refineries. Forty-eight hours later, Ukrainian drones incinerated Rosneft's Kuibyshev plant, wiping out 1.4 million tons of annual diesel capacity before dawn. 1/🧵
Prof. Bonk 🇺🇦 Perverse & Unintended Consequences542,537 次观看 • 1 天前
Seguro has visto este video como el "peor fail del deporte" o un simple meme de risa, pero la historia real es brutal. Él es John Elmerson Fabriga y sacó un 0.00 perfecto tras caer de espalda. Tras las burlas, la verdad avergonzó a todo su país. La cruda realidad abajo. 🧵👇
PE_layo7,089,364 次观看 • 10 天前
Introducing Diarization Bench, Voice Arena's benchmark for who spoke when. The metric we measure is diarization error rate, or DER. It measures how much of a conversation a model attaches to the wrong person. Every second it misses, invents, or gives to another speaker counts against it. Here's what we did. 139 conversations recorded for this board, in rooms and on calls, with people interrupting each other throughout. 12 systems scored under a single goal: testing models in the real-world conditions they are actually deployed in. NVIDIA's Nemotron 3 leads at 14.72%. 🧵
Shobhit Banga629,621 次观看 • 2 天前
