Machine learning interatomic potentials like MACE (NeurIPS 2022) have reached a point where they rival density functional theory in accuracy while running orders of magnitude faster. But using them still requires Python scripting, command-line fluency, and environment setup that shuts out a large number of researchers, especially those with accessibility needs, those in under-resourced labs, or students encountering computational chemistry for the first time.
Screenshot by Jack Wallen/ZDNETFollow ZDNET: Add us as a preferred source on Google.。clash下载对此有专业解读
./tests/bench_cache_compare.sh。下载安装汽水音乐对此有专业解读
My up-to-date AGENTS.md file for Python is available here, and throughout my time working with Opus, it adheres to every rule despite the file’s length, and in the instances where I accidentally query an agent without having an AGENTS.md, it’s very evident. It would not surprise me if the file is the main differentiator between those getting good and bad results with agents, although success is often mixed.
One of the flashiest ways Good Inside is serving parents at the moment is with its AI chatbot GiGi. Kennedy says she’s “pragmatic;” she knows parents are asking ChatGPT and Claude their middle-of-the-night and mid-meltdown questions. She envisions GiGi as a trusted space for parents; one that fosters more of a “two-way relationship” that connects the dots for users. “A parent might ask about three very different things in three different sessions, but on our end, we see the thread throughout, and can serve up what they might be missing and what might be a helpful next step,” Kennedy says. That kind of predictive support can help get parents out of “fire-extinguishing mode,” Kennedy says. “I always tell parents, better than knowing how to extinguish a fire is actually just having fewer fires.”