Showing posts with label 人工智能. Show all posts
Showing posts with label 人工智能. Show all posts

Thursday, 30 October 2025

🐢💻AI Codes for Free? Claude’s Doing Your Job — Literally! | AI写代码?Claude都免费送了,你还在犹豫?

Hey coders, stop fueling yourself with caffeine! Anthropic’s Claude Haiku 4.5 is now free, and it’s absurdly good — faster, smarter, and cheaper. Pair it with Skills, and suddenly AI doesn’t just chat — it codes, tests, and (yes) deploys!

🐇 1. Lightning-fast coding:

Jump on claude.ai, say “Write a Python weather scraper.”

Claude Haiku 4.5 instantly delivers clean code with its massive 200K context — perfect for big projects.

Skills work like a custom memory + toolkit: preload templates, code rules, or scripts (“Always use async,” “Add comments in Chinese”). Claude remembers, loads, and obeys.

🐱 2. Auto quality checks:

Your Skills can run linters, logic analyzers, or vulnerability scripts.

Claude finds bugs, suggests fixes, and formats your code neatly — your virtual QA buddy.

Tested safe, stable, and smarter than your 2 a.m. self. 😂

🐙 3. (Optional) Deployment magic:

Hook Claude to APIs or Sonnet: Sonnet plans, Haiku executes subtasks.

Skills can hold deploy scripts, meaning you just type:

“Claude, deploy my new version.”

Then sip bubble tea while AI handles the rest. ☁️

🌸 4. Real example:

Prompt: “Write a Python number guessing game using my Skills for quality check.”

import random  # Random module, cute as a kitten 🐱


def guess_number():

    num = random.randint(1, 10)

    guess = int(input("Guess a number between 1–10! 😊"))

    if guess == num:

        print("Yay, jackpot! 🎉")

    else:

        print("Oops! It was", num, "Try again~ 😜")


# Skills check: Syntax OK, randomness fine, input safe. 👍

guess_number()

Runs flawlessly with a quality report — adorable and powerful!

🧠 Bottom line:

Claude Haiku 4.5 + Skills = AI that codes while you nap.

You’re not lazy — you’re just managing smarter.


嘿,各位被代码折磨到怀疑人生的程序猿们,是时候放下咖啡,拥抱AI啦!Anthropic 最近放大招——Claude Haiku 4.5 免费开放!

这家伙小而快,聪明得离谱。配合新出的 Skills 功能,简直像给AI装上了外挂:它能写代码、自动查错、甚至帮你部署项目(没骗你,真能干!)。

🐇 一、写代码快到飞起!

打开 claude.ai 官网,输入一句:“用Python写个天气爬虫”。

Claude Haiku 4.5 一秒吐出干净优雅的代码。

它拥有 200K上下文窗口,能同时理解整个项目结构,不怕大代码。

而 Skills 呢?就是 Claude 的“私人记事本+工具箱”🧰。

你可以上传自定义指令,比如“保持代码PEP8规范”“用中文注释”,

Claude 会自动加载这些技能,像个忠诚小助手,永远记得你的小癖好。

🐱 二、自动化质量检查,像AI在你肩膀上拍肩膀:

你可以让 Claude 的 Skills 执行自定义的检测脚本,比如:

  • 语法与逻辑扫描

  • 代码风格统一

  • 安全漏洞检测

    结果?Claude像个温柔的QA工程师,指出你的小失误,还顺带修好。

    Red Team实测:比你凌晨2点的状态可靠100倍。😂

🐙 三、(可选)部署支持:

如果你接入Claude API,它能与Sonnet协作——Sonnet规划、Haiku执行。

比如自动重构文件、并行处理任务、打包部署。

Skills还能设置为“命令集”,让Claude直接调用shell脚本或云部署脚本。

一句话:“Claude,发布我新版本。”

然后你去喝奶茶,代码自己上线了☁️。

🌸 四、实际例子:

输入:

用Python写个猜数字游戏,并用我的Skills模板检查代码质量。

Claude瞬间输出👇:

import random  # 可爱随机模块🐱


def guess_number():

    num = random.randint(1, 10)

    guess = int(input("猜一个1-10的数字吧!😊"))

    if guess == num:

        print("中奖了!🎉")

    else:

        print(f"哎呀,答案是 {num},下次加油哦~ 😜")


# Skills检查:语法正确,随机性良好,无输入漏洞。👍

guess_number()

运行完美,还附带自动质量报告,简直萌化你心。

🧠 总结:

Claude Haiku 4.5 + Skills = 从键盘苦工变项目导演。

免费又聪明,不用配置环境,不用写长prompt。

只要一句话,AI自己干完。

别再手敲代码啦,让Claude敲,你敲键盘只是浪费电。⚡


Thursday, 25 September 2025

AI Myths Busted! Quick Dodge 100 Model Pitfalls for Normies😱- AI神话破灭!普通人速避100模型雷区😱

Whoa, folks! An AI guru reviewed 100 models in 30 days and spilled the tea—hilarious and eye-opening 😂. Don't think AI's just for techies; it's gold for us regular Joes in learning, work, and life. Let's unpack the lessons to skip the blunders.💡


First off, AI model "moats" vanish fast! Today's top dog is tomorrow's has-been in two months. Lesson? Ditch single subscriptions; smarties use routers like Grok or OpenRouter to switch per task. Counterintuitive, right? Pricey ain't always lasting—free open-source rocks! For normies, when learning AI, grab opens like Deepseek or Qwen for cheap projects, level up instantly.😎


Next, open-source is catching up to closed giants! Gap's basically gone; privacy fans, run Ollama locally—safe and wallet-friendly. Controversy: Some argue closed Claude4 crushes complex stuff. You buying? At work, finetune small models like Llama3.2 1B for speedy coding, productivity skyrockets! In life, whip up recipes or chats without waiting—speed rules.🚀


Benchmarks? Total scam! Models cheat for scores but flop IRL. Lesson: Test yourself! Easy example: Wanna learn drawing? Use moondream tiny model for quick inspo pics—snappy, no lag, beats big boys dragging feet. Outcome? Even klutzes nail art dreams, work prezos pop, life gets funnier.🎨


Lastly, speed beats accuracy! No one waits 30 secs. Plain talk: AI's your buddy, quicker the better. Sneaky easter egg: These pint-sized models may look meh, but they're pros at one thing, packing a punch to make your solutions "climax" non-stop (hey, mind out of gutter—it's idea climaxes!~).😂


Bottom line, don't fear AI—grab these tips for smoother learning, easier work, funner life. Give it a whirl, peeps!❤️ 


哇哦,女士们,先生们!一个AI大神花30天审了100个模型,吐槽满满,让我这个文案老司机都笑喷了😂。别以为AI是高大上玩意儿,其实对咱们普通人超有启发!来,跟着我扒一扒这些教训,帮你学习、工作、生活少走弯路。💡


首先,AI模型的“王者地位”超短命!今天SOTA(最牛逼的),俩月后就过气了。教训?别死磕一个订阅,聪明人用路由平台,像Grok或OpenRouter,按任务切换模型。反常识吧?贵的不一定持久,免费开源才香!对普通人来说,学习AI时,别花冤枉钱,试试开源Deepseek或Qwen,建个小项目,秒变高手。😎


其次,开源模型快追上闭源大佬了!差距基本没了,隐私党用Ollama本地跑,安全又省。争议点:有些人说闭源Claude4在复杂推理上还是王道,你觉得呢?工作上,用小模型finetune专攻任务,比如用Llama3.2 1B快速写代码,效率翻倍!生活里,生成菜谱或聊天,别等大模型半天,速度才是王道。🚀


benchmark别信!模型们“作弊”刷分,现实中拉胯。教训:自己测!简单例子:你想学画画,用moondream小模型生成灵感图,超快不卡顿,比大模型磨叽半天强多了。结果?手残党也能轻松搞定艺术梦,工作汇报瞬间亮眼,生活多点创意乐子。🎨


最后,速度胜过精度!用户等不起30秒回复。朴实点说,AI就像你的小助手,越快越贴心。隐藏小彩蛋:这些小模型虽不起眼,但专精一技,劲头十足,能让你“高潮”迭起地解决问题(哎呀,别想歪,是创意高潮哦~)。😂


总结,普通人别怕AI,吸取这些教训,学习更高效、工作更轻松、生活更有趣。快试试吧,姐妹!❤️


Wednesday, 10 September 2025

【AI Doctors Epic Fail】Why GPT Can’t Prescribe Meds? - 千万别让GPT开药方!

OMG guys!🤯 Mind-blowing research just dropped: AI models like GPT-4o and Claude 3.5 scored nearly perfect on medical exams—but failed spectacularly in real-world patient advice!🆘 Change the multiple-choice options to “none of the above,” and accuracy plummeted: GPT-4o dropped 25%, while Llama models fell below 40%!📉

Why? AI relies on “pattern matching” instead of actual medical understanding!🤖💔 It can’t reason like human doctors who synthesize history and symptoms. Researchers say it’s like “a student who aces practice tests but fails when questions are worded differently”. So for now, AI should only assist doctors, not replace them!👨⚕️👩⚕️

💡Future Doctors Must Code!
Top med schools are now adding AI courses because future healthcare is all about “medical-engineering fusion”—doctors need to model data, write algorithms, and even use 4D-printed biomaterials!🦾🧬 (Easter egg: Rumor says an AI nurse was complained about for being “too hardcore”…turns out it was a loop parameter error in the code😂)


女士们,先生们,大事件!🤯 最新研究发现,那些在医学考试里几乎拿满分的AI模型(比如GPT-4o和Claude 3.5),一到真实世界给病人看病就直接翻车!🆘 就像学霸只会做模拟题,考题选项稍微改个 wording(比如把正确答案换成“以上都不是”),AI准确率瞬间暴跌——GPT-4o下降25%,Llama模型甚至掉到40%以下!📉

为啥?因为AI靠的是“猜词模式”而不是真懂医学啊!🤖💔 它只会匹配语言模式,根本不会像人类医生那样综合推理病史和症状。研究人员说,这就像“一个模拟考满分但实际操作崩盘的学生”。所以目前AI只能当辅助工具,绝对取代不了真人医生!👨⚕️👩⚕️

💡未来医生新标准:既要懂医学,还要会编程!
现在顶尖医学院都在疯狂加码AI课程,因为未来的医疗一定是“医工结合”——医生得会用数据建模、写算法、搞数字孪生,甚至玩转4D打印生物材料!🦾🧬(隐藏彩蛋:听说某医院AI护士因为“硬核”模式太频繁被患者投诉…结果发现是代码里循环参数设错了😂)

✨结论:AI看病?再等等吧!现在还是乖乖挂人类专家的号~(但可以让它帮你写病假条,亲测通过率100%👍)


Friday, 5 September 2025

🚀Free Qoder Coding Miracle for Noobs - 免费就是香 Qoder编程手残福音

🌸Guys, ever heard of “coding by talking”? Not a joke! Qoder lets you do exactly that. It’s now in public preview, and yes—free! Zero cost, literally. 🤣

👩‍👩‍👧‍👦Who benefits?

  • Students: say “make me a Python script to split bills equally” → boom, code+comments+tests ready.

  • Office workers: “give me a script to sum Excel columns into a csv”.

  • Life hackers: budget tracker, photo sorter, even anniversary reminders 🤭.


🌱Future outlook

  • Right now: public preview + free credits.

  • Soon: credit-based pricing.

  • Early birds win: enjoy full power now, later it may cost you 💸.


🐼Example: one sentence, full project

I said:

“Write Python script splitbill.py that reads sample.csv, splits bills, outputs report.csv, with 2 pytest tests.”

Qoder created all files, ran deps + tests, and output report.csv directly.

Feels smoother than ordering food delivery. 🍔💻


🎯Takeaway

Qoder = noob saver + freebie heaven + huge future potential.

⚠️ Don’t forget: it’s free but limited. Use it now before the bills come!


🌸朋友们,你听过“用嘴写程序”吗?没开玩笑,真的有工具能做到!Qoder 现在正处于公共预览阶段,而且——免费!对,0块钱,白嫖党狂喜 🤣

👩‍👩‍👧‍👦谁能用?

  • 学生党:想学代码但头大?直接用中文问:“帮我写个按人头AA制的分账程序”,它会生成代码+注释+测试。

  • 上班族:要写点小脚本处理表格、发日报?直接说:“帮我做个脚本,把excel表里的金额合计出来发成csv”

  • 生活玩家:预算跟踪器、照片整理器、甚至恋爱纪念日提醒器(?)都能轻松搞定。


🌱未来发展

  • 现在是公共预览 + 免费额度,随时可能收紧。

  • 定价模式大概率是信用制按需付费

  • 越早上车越爽,因为目前功能基本全开放,等收费再来你会哭 😭。


🐼示例:一句话写代码

我在 Qoder 里只说:

“写个 Python 脚本 splitbill.py,能读一个 sample.csv 按人数平分账单,输出 report.csv,还要两个 pytest 单测。”

Qoder 就给我整好了所有文件,还自动装了依赖并跑通测试,桌面上直接能看到 report.csv。

新手零基础,也能感受到“写代码比点外卖还快”的丝滑感。 🍔💻


🎯总结

Qoder = 新手手残福音 + 白嫖党狂喜 + 未来潜力巨大

⚠️ 别忘了,它虽然免费,但额度有限,抓紧用,不然以后真要花钱啦。


Tuesday, 19 August 2025

Huawei CANN Open Source! Can Ordinary People Benefit?🤔 | 华为 CANN 开源!普通人能沾光吗?🤔

✨First, understand what CANN is:

It’s an "acceleration toolkit" Huawei made for its own Ascend AI chips. It helps AI developers run models faster, specifically competing with NVIDIA CUDA~


🙅Ordinary people, don’t get overexcited! We really can’t use it:


Learning: AI development learners can practice on Huawei Cloud, but need coding skills;

Work: Only accessible if your company uses Ascend hardware, not for daily work;

Life: Can’t use it for streaming or shopping, only wait for indirect benefits.


✅But we can look forward to these 3 benefits:


Developers won’t be "tied" to NVIDIA, more freedom to choose hardware;

More Chinese tutorials for learning AI later, lower threshold;

Competition = cheaper AI services! Spend less on photo editing, speech-to-text~


⚠️Short-term flaw:

CANN’s ecosystem is less mature than CUDA. Casual use will only make you "confused"—beginners don’t force it!


🐱Want to experience? 4 steps on Huawei Cloud (no hardware needed):


Search "Huawei Cloud" and register (free quota available);

Find "Ascend AI Gallery" and search "CANN Image Recognition Demo";

Click "One-Click Deployment" and upload a photo of your cat;

Get results in seconds! CANN is working behind the scenes~


We've gone from only having CUDA for acceleration to multiple options today.


💡Summary: Breaking the monopoly is good, let’s wait for cheaper AI services! Beginners, don’t rush—try it when the "beginner-friendly version" comes out~



✨先搞懂 CANN 是啥:

华为给自家 Ascend AI 芯片做的 “加速工具包”,帮 AI 开发者把模型跑更快,专门跟英伟达 CUDA 掰手腕~


🙅普通人别瞎激动!咱真用不上:


学习:学 AI 开发的能借华为云练手,但得会编程;

工作:公司用 Ascend 硬件才碰得到,日常用不上;

生活:刷视频网购直接用不上,只能等间接好处。


✅但这 3 个好处咱能盼着:


开发者不被英伟达 “绑架”,选硬件更自由;

以后学 AI 有更多中文教程,门槛变低;

有竞争 = AI 服务会降价!修图、转文字都能少花钱~


⚠️短期小坑:

CANN 生态没 CUDA 成熟,凑活用只会 “一脸懵”,小白别硬冲!


🐱想体验?华为云 4 步搞定(不用买硬件):


搜 “华为云” 注册(有免费额度);

找 “昇腾 AI Gallery” 搜 “CANN 图片识别 demo”;

点 “一键部署”,传张猫主子照片;

秒出结果!背后就是 CANN 在干活~

以前只有CUDA来加速,现在多个选项


💡总结:打破垄断是好事,咱坐等 AI 服务降价!小白先别急,等 “傻瓜版” 工具再试~