AI HOT 精选 · AI/大模型
Cursor 推出 Origin 代码托管服务,作为 GitHub 的替代方案
Cursor 今日起向所有付费计划用户开放 Origin 代码托管的早期测试版,提供仓库、拉取请求、代码浏览及 GitHub 同步功能。用户可创建以 cursor.com/codebase/ 为前缀的仓库,或将 GitHub 仓库同步至 Origin,双向同步评论与审查。Vercel、Depot 和 Buildkite 集成已可用,智能体功能即将推出。(AIHOT源:Hacker News 热门(buzzing.cc 中文翻译))
AI HOT 精选 · AI/大模型
OpenRouter 推出 Activity 仪表盘与 Analytics API:按智能体、模型、请求追踪 AI 使用成本
OpenRouter 发布 Activity 仪表盘和 beta Analytics API,可按智能体、模型、请求维度查看支出、token 量、缓存命中率等指标,并支持下钻至单条请求日志。(AIHOT源:OpenRouter:Announcements(RSS))
AI HOT 精选 · AI/大模型
新兴多智能体系统的模式与问题
随着AI智能体在共享代码库、市场等社会系统中承担更多任务,智能体间的真实交互将激增,其交互量可能超过人机交互。Anthropic实验显示,协调式智能体群在2700万token运行中发现266个漏洞,远超独立并行方法的21个,但两者互补性明显。智能体虽擅长工具使用,但在长期协作与协调方面仍面临挑战。(AIHOT源:Hacker News 热门(buzzing.cc 中文翻译))
Follow Builders · AI/大模型
Thibault Sottiaux: Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol
Here is how to enable a 1M-token context window in Codex for GPT-5.6 Sol. Even though we have tuned the context limit in Codex to be set optimally when it comes to performance and cost, this is a common ask, so here it is documented. A larger context window lets Codex retain more code, tool output, and conversation history before summarizing older material. You need a model that supports it. And GPT-5.6 Sol, for example, has a documented 1,050,000-token window. Open ~/.codex/config.toml and add or update these settings at the top level, before any [section] headers: ``` model = "gpt-5.6-sol" model_context_window = 1000000 model_auto_compact_token_limit = 900000 ``` The first setting selects the model. The second tells Codex to use a one-million-token context budget. The third starts automatic history compaction around 900,000 tokens, leaving some headroom. Restart Codex client and start a new session after saving. To try the configuration for a single CLI session without changing your defaults: ``` codex -m gpt-5.6-sol \ -c model_context_window=1000000 \ -c model_auto_compact_token_limit=900000 ``` Have fun, but also know that we tuned the default carefully!|@thsottiaux · 热度 14483 · 2026-08-16
Follow Builders · AI/大模型
Thariq: it says a lot that the creators of three of the most iconic web frameworks: d...
it says a lot that the creators of three of the most iconic web frameworks: django (@simonw), flask (@mitsuhiko) and rails (@dhh) were so AI pilled so early|@trq212 · 热度 1790 · 2026-08-16
Follow Builders · AI/大模型
Aaron Levie: AI spend is nowhere close to hitting any walls
AI spend is nowhere close to hitting any walls. Obviously this data is weighted toward engineering-centric companies, with the top 1% spending $7,500/mo and top 10% spending $660/mo per employee on AI. But the general trend of continued exponential growth is occurring throughout all firm types. And what the top 10% is doing today may easily be what the top 50% is doing in 3 years from now, at least in terms of token volume if not in dollars. This is why there’s still so much opportunity right now in the diffusion of AI in the enterprise. Especially as token costs come down, we will throw larger portions of work at agents. They’ll be scanning all our code for security issues, testing all of our software, writing coding for much larger projects, processing nearly all data, and much more. So this trend has no end in sight.|@levie · 热度 519 · 2026-08-16
Follow Builders · AI/大模型
Thibault Sottiaux: Codex ✅ Almost 100% reliable ✅ Occasional resets ✅ Open-source ✅ (will have ...
Codex ✅ Almost 100% reliable ✅ Occasional resets ✅ Open-source ✅ (will have Astra) https://t.co/DxNdAgpag5|@thsottiaux · 热度 8840 · 2026-08-17
Follow Builders · AI/大模型
Thibault Sottiaux: GPT-5.6 Sol 1M in Codex
GPT-5.6 Sol 1M in Codex. This used to only work for API keys, but we just flipped the switch and works for usage through ChatGPT accounts now too. The same warning applies, there is a reason the current context length is the default, we have tuned it to ~perfection. But you do you!|@thsottiaux · 热度 4473 · 2026-08-17