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지난해 12월 '코드 레드'를 선언한 이후 오픈AI는 코딩 AI와 기업용 AI 경쟁에 집중해 왔습니다. 그 결과, '클로드 코드'를 빠르게 추격했고, 기업 고객도 크게 늘렸습니다.하지만 소비자가 체감하는 '챗GPT'의 변화는 상대적으로 크지 않았습니다. 오픈AI가 기업 시장에만 집중하는 것 아니냐는 분위기였습니다.그러나 29일(현지시간) 공개된 그렉 브록먼 오픈AI 사장의 팟캐스트를 보면, 오픈AI는 그보다 더 큰 그림을 그리고 있었던 것으로 보입니다. 바로 오픈AI의 장기적인 목표는 '인간이 컴퓨터에 적응하는 시대'를 끝내고 '컴

AI타임스 조예주 기자 joyejuoffice@aitimes.com

래블업(대표 신정규)은 한국거래소로부터 코스닥 상장을 위한 예비심사를 승인받았다고 30일 밝혔다.래블업은 상장예비심사를 45영업일 만에 통과하며 올해 코스닥 일반기업 상장예비심사 승인 중 최단 기간을 기록했다. 대표 주관사는 NH투자증권이다.2015년 설립된 래블업은 그래픽처리장치(GPU)를 비롯한 고성능 컴퓨팅 자원을 운영·관리하는 AI 인프라 플랫폼 '백엔드닷에이아이(Backend.AI)'를 운영 중이다.AI 모델의 개발과 학습, 배포 및 운영에 필요한 컴퓨팅 자원을 통합 관리하며, 소규모 연구개발부터 대형언어모델(LLM) 학습

After OpenAI's models broke into Hugging Face, Anthropic checked its own history and found three similar incidents

LinkedIn actually adds a ‘seems like AI slop’ button | The Verge Skip to main content The homepage The Verge The Verge logo. The homepage The Verge The Verge logo. Notifications Notifications Hamburger Navigation Button Navigation Drawer The Verge The Verge logo. Login / Sign Up close Close Search Light System Dark Subscribe Facebook Threads Instagram Youtube RSS Comments Drawer Notifications Comments Loading comments Getting the conversation ready... AI Close AI Posts from this topic will be added to your daily email digest and your homepage feed. Follow Follow See All AI News Close News Posts from this topic will be added to your daily email digest and your homepage feed. Follow Follow See All News Tech Close Tech Posts from this topic will be added to your daily email digest and your homepage feed. Follow Follow See All Tech LinkedIn actually adds a ‘seems like AI slop’ button You can now report posts that don’t feel human-written. You can now report posts that don’t feel human-written. by Jay Peters Close Jay Peters Senior Reporter Posts from this author will be added to your daily email digest and your homepage feed. Follow Follow See All by Jay Peters Jul 30, 2026, 6:43 PM UTC Link Share Gift Image: LinkedIn Jay Peters Close Jay Peters Posts from this author will be added to your daily email digest and your homepage feed. Follow Follow See All by Jay Peters is a senior reporter covering technology, gaming, and more. He joined The Verge in 2019 after nearly two years at

The Weekly Kaitchup #152 Benjamin Marie Jul 25, 2026 9 2 Share Hi everyone, In this edition of The Weekly Kaitchup , I’m looking at two of the week’s most interesting releases for agentic workloads: Nanbeige4.2-3B and Laguna S 2.1. The Kaitchup – AI on a Budget is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Agentic workloads include multi-step reasoning, tool use, interaction with external environments, and tasks that may require many actions before completion. Nanbeige/Nanbeige4.2-3B poolside/Laguna-S-2.1 Despite this shared focus, they operate at very different scales. Nanbeige4.2-3B is a compact dense model with approximately 4 billion total parameters and 3 billion non-embedding parameters. It is intended to make capable agentic behavior practical on consumer and workstation hardware. Laguna S 2.1 is a 118-billion-parameter Mixture-of-Experts (MoE) model. It activates approximately 8 billion parameters for each token. The two models represent different approaches to agentic AI. Nanbeige uses repeated computation over a relatively small set of weights, while Laguna uses sparse access to a much larger pool of learned parameters. Nanbeige4.2-3B While Nanbeige4.1 used a basic Llama architecture, Nanbeige4.2-3B uses a Looped Transformer. Instead of containing a large number of unique transformer layers, the model has 22 physical decoder layers that are executed twice . The same weights are reu