not much happened today
**OpenAI's agent products** saw a **2.5x weekly usage growth** driven by **Codex + ChatGPT Work** and demand for **GPT-5.6 Sol**. JetBrains adopted Codex as a recommended…
**OpenAI's agent products** saw a **2.5x weekly usage growth** driven by **Codex + ChatGPT Work** and demand for **GPT-5.6 Sol**. JetBrains adopted Codex as a recommended…
Isn't it something that the harness should manage? Why bake it into the lower levels? I'm talking about Qwen3.6 27B submitted by /u/Glad_Claim_6287 [link] [comments]
I currently am running a solo 4080 for local models such as Qwen3.6 35B, Gemma and stuff like that. However, the VRAM is super limiting. Would…
Article URL: https://www.adweek.com/media/openais-ad-business-is-on-pace-to-miss-its-own-forecast-by-90-analyst-says/ Comments URL: https://news.ycombinator.com/item?id=48902599 Points: 17 # Comments: 4
Existing volumetric capture of dynamic human performance achieves high fidelity with dense camera arrays. However, in real-world scenarios, only a handful of low-overlap cameras are available,…
metal : add Q2_0 support (#25419)
Gotta say, for a state project this is unintentionally great PR. We are in the dark and discover what each part does, episode by episode. "How…
Hey all, I have a 4090 + 5060ti setup with 64gb ram. I have been using opencode with MiMoV2 pro and its great but I don't…
Article URL: https://lenergy.com.au/free-daytime-electricity-is-coming-heres-how-it-actually-works/ Comments URL: https://news.ycombinator.com/item?id=48902320 Points: 13 # Comments: 11
RT Sakana AIRe Thank you for trying Sakana Marlin, @audreyt 💪https://x.com/audreyt/status/2076873640872960252⿻ Audrey Tang 唐鳳: @SakanaAILabs Trying out the first auto research!🪞🐟
RT Kevin BassJust a reminder that deepseek v3 came out 18 months ago and was considered revolutionary at the time but is basically unusable todayThere was…
This work explores the motion transfer from one video to another, which is crucial in animation for diverse characters. Previously, video motion transfer has been largely…
Flow matching over carefully designed latent representations has recently emerged as a powerful paradigm for topology-aware mesh generation. Existing approaches, however, model vertices and connectivity jointly…
Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, but it is expensive to repeat on every new strong model because…
We're introducing Claude for Teachers, providing verified K-12 educators in the US free access to premium Claude capabilities, a library of teaching skills, and a direct…
arXiv:2607.10128v1 Announce Type: cross Abstract: Recursive reasoning models address structured problems by repeatedly updating latent states of small neural networks. However, their test-time scaling lacks a…
arXiv:2510.21431v2 Announce Type: replace Abstract: We study the combinatorial semi-bandit problem where an agent selects a subset of base arms and receives individual feedback. While this…
arXiv:2607.10067v1 Announce Type: cross Abstract: While autoregressive models optimize the exact data likelihood via the chain rule, diffusion models are typically trained with denoising objectives. We…
arXiv:2509.11146v2 Announce Type: replace Abstract: Magnitude, obtained as a special case of Euler characteristic of enriched category, represents a sense of the size of metric spaces…
arXiv:2607.09817v1 Announce Type: cross Abstract: We propose a framework for the Markov chain (MC) choice model with panel data, including parameter estimation, personalized choice prediction, and…
arXiv:2504.05349v5 Announce Type: replace Abstract: Network pruning is used to reduce inference latency and power consumption in large neural networks. However, most methods focus on empirical…
arXiv:2607.09710v1 Announce Type: cross Abstract: Tabular classification is often governed by local, condition-triggered rules rather than smooth global patterns. However, tabular deep neural networks (DNNs) are…
arXiv:2606.01172v3 Announce Type: replace-cross Abstract: Modeling unknown latent functions from finite, irregularly sampled measurements is a recurring challenge across science and engineering. Neural processes (NPs), a…
arXiv:2607.11684v1 Announce Type: new Abstract: Existing contextual multinomial logit (MNL) bandits model relevance-driven choice but ignore the potential benefits of within-assortment diversity, while submodular/combinatorial bandits encode…