Freda🇨🇦

One week since the launch of GPT-5.5, and it’s already our strongest model launch yet. API revenue is growing more than 2x faster than any prior release, while Codex doubled revenue in under seven days as enterprise demand for agentic coding tools keeps climbing.

昨天Figure宣布已经实现1小时生产一台Figure 03机器人，一周生产55台，今天1X机器人就告诉你我们NEO打包出厂状态是这样的👇🏻。

这个自由党的风格越来越接近中共了， 让我们看看自由党的议员在国会的发言! 5月1日上午， 自由党的国会议员Ryan Turnbull 说： 加拿大的生活是世界上最好的。 儿童免费食品 G7中最快增长 G7中最强的财政状况 儿童保育和牙科护理 加拿大人需要感谢我们。 我们是最棒的‼️

加拿大现任总理马克·卡尼 • 妻子住在美国 🇺🇸 • 四个孩子住在美国并在那里学习 🇺🇸 • 他的投资组合约 91% 在美国 🇺🇸 • 家也在美国 🇺🇸 • Brookfield 将总部迁至美国 📍 更搞笑的是他却对加拿大人说： 我们不能依赖美国。 看来加拿大的民主制度已经荡然无存！

This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.

特朗普宣布福克斯新闻撰稿人妮可·萨菲尔为其新任美国卫生局局长人选 福克斯变成美国的黄埔军校了

庭审第三天，马斯克再次提交指控 OpenAI 的证据。 早在 2015 年，OpenAI 创始人 Sam Altman 就给马斯克发邮件，祈求他能承诺给 OpenAI 捐赠 1 亿美金，然后询问能否在 5 年里捐 3000 万美元。 最后马斯克累计捐了 3800 万美元，还承担了办公室租金费用。 在马斯克，因为要忙碌特斯拉、SpaceX 的事情，而离开 OpenAI 董事会两年半之后，OpenAI 又重新开始向他要钱。 2020 年 7 月 22 日，OpenAI 的 CFO 给马斯克家办发邮件，表示自己公司可能快撑不下去了，能否马斯克来为 OpenAI 支付办公室租金、安保费用。 后来马斯克又同意了，他替 OpenAI 支付了租金。 而根据加州法律，当一个慈善机构，向别人募钱并接受捐款时，募捐方和捐赠方之间，就会形成一种受托关系。 Sam Altman 和 CFO 持续向马斯克发起募捐，马斯克捐了钱。OpenAI 接受了捐款。 然后，他们在没有通知马斯克的情况下，把这个慈善机构，突然变成了一家估值 8520 亿美元的商业公司，并准备上市。 然后声称马斯克当年投的是慈善机构，与后来结构发生变化的 OpenAI，其实是两个，只是刚好重名都叫 OpenAI 而已。 马斯克被背叛了。