Usama Amjad retweeted
Today, we're bringing OpenAI models to Google Cloud's model garden.
We're now the only hyperscale cloud provider offering access to all three leading closed source LLMs—alongside 200+ other models—on a unified enterprise platform → goo.gle/4zJ0VZQ
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.
It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
OpenAI models are coming to Google Cloud.
We're bringing our frontier models and Codex agentic workflows to Google Cloud's Model Garden, so enterprises can use our technology where they already build.
openai.com/index/openai-mode…
【AWS这次真下血本了!Kiro学生计划每月1000 Credits,免费白嫖一整年!】
兄弟们,AWS这波学生福利有点猛啊!
Kiro推出了学生免费计划
每个月直接送1000 Credits
连续送12个月
不用绑卡,一分钱不花!
什么概念?
Kiro Pro每个月20刀
给的也是1000 Credits
学生直接免费用一年
相当于省下240刀!
而且不只是送额度
IDE、CLI、Kiro Web都能用
还开放了部分付费档才有的高级模型
卧槽!
AWS这是准备拿真金白银抢学生用户啊😂
领取流程也不复杂,3步搞定:
1、打开官方学生福利页面
kiro.dev/students/
2、用Google、GitHub或者AWS Builder ID注册
但一定要关联符合条件的大学邮箱
否则可能看不到学生认证入口
3、进入账号Usage页面
找到「You are eligible for Kiro Students」
点击验证,通过SheerID学生认证
成功后直接开通Students档
不过先别急着冲
这波福利的门槛还真不低!
最关键的是学校白名单
不是有个大学邮箱就能领
Kiro最初只开放了11所大学
今年9月新增了121所,一共132所大学、18个国家
但我看了目前的官方名单
暂时没发现中国大陆大学
所以普通国内大学生
目前大概率还是领不了
另外几个限制也提醒一下:
1、必须年满18岁,是名单内高校的在读学生
2、1000 Credits每月重置,没用完不累计
3、额度用完不能额外购买,只能等下个月
4、一年到期自动降回免费档,代码和项目不会丢
5、如果注册账号没关联大学邮箱,学生验证入口可能根本不显示
这条我自己还没实测
手里暂时没有符合名单的大学邮箱
不过这额度确实香
尤其是经常用AI写代码的兄弟
一年1000×12
足够折腾不少项目了
有没有海外大学的佬已经领到了?
你们学校在不在白名单?
SheerID认证到底好不好过?
评论区交流下
顺便给其他兄弟对对学校名单😂
Usama Amjad retweeted
this is pure f*cking gold
Andrej Karpathy joined Anthropic to run a team pointing Claude at Anthropic's own pretraining research
a model helping build the model that replaces it. that part is on the record
what's public and worth stealing today: Anthropic's own Claude cookbook on building knowledge graphs
> extract - pull entities and claims out of raw text
> resolve - figure out which mentions are the same thing
> assemble - wire them with typed edges
> query - ask what no single document could answer
four steps, free, sitting in the repo while the timeline chases the hype
learn them this weekend and you walk into Monday with the exact skill getting handed the AI architecture work this year
start with the cookbook, then read the article below
Usama Amjad retweeted
Google open-sourced Harness². It lets an AI agent improve its own setup on every new task, without retraining the model.
The setup around a model, its "harness", is normally designed once by a person: the system prompt, guardrails, memory, tool guidance, subagents, skills, scripts and plugins. Harness² edits all 8 while it works.
How it works:
→ proposes changes to the harness for the task in front of it
→ tests those changes on that same task
→ keeps what actually worked better, with no answer key needed
→ carries the lessons into future tasks
In Google's tests, one round improved GLM-5 and Gemini 3.5 Flash by up to 11.5 points on WorkBuddy-Bench and 11.8 points on LAB, a legal benchmark.
Works with OpenCode or Codex. The demo runs on Linux with no API keys:
git clone github.com/google-research/h… && cd harness2
uv venv --python 3.12 .venv && source .venv/bin/activate
uv pip install -e '.[render]'
harness2-demo --output runs/demo --k 2
Apache-2.0, 11.3K stars.
Usama Amjad retweeted
How to write your own skill, and how to check whether an external skill helps you at all? There are millions of skills available, hardly any was ever tested, and most were vibe-written. The whole skills industry is subjective.
Very proud of this work.
For the next 3 days, in collaboration with @MiniMax_AI, MiniMax M3.1 Flash will be free on Ollama's Cloud!
Hosted in the US and with zero data retention.
MiniMax M3.1 Flash is on Ollama!
🔒 Hosted in the US and with zero data retention.
Fast coding and agentic workflows, with image understanding and a 1M-token context window.
Try it on Ollama Cloud:
ollama run minimax-m3.1-flash:cloud
Claude Code:
ollama launch claude --model minimax-m3.1-flash:cloud
Codex:
ollama launch codex -–model minimax-m3.1-flash:cloud
GPT-6 Astra Pro in ChatGPT got an upgrade with faster responses and improved use of plugins and tools.
And now, multiple agents can tackle different parts of a task in parallel. You can follow each agent’s progress and open completed tasks to review their work.
Now available to Pro users in the Chat tab.
Usama Amjad retweeted
Put your dot on call.
Ali, an engineer at OpenAI, used his dot to triage an on-call incident at 3am.
His dot investigated the issue and started a Codex thread, so he could steer the work from his phone in the ChatGPT app.
Usama Amjad retweeted
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.
1/4
Our latest model advances bring stronger capabilities for building and migrating software in low-resource programming languages such as COBOL, Fortran, and Visual Basic.
These languages power software that banks, governments, and businesses depend on. Progress here means understanding decades of business logic and helping developers modernize those systems while preserving what works.
We’re building these capabilities around the challenges developers and enterprise customers bring us. If your team is working on these systems, tell us which languages and workflows we should tackle next.
openai.com/index/low-resourc…
Usama Amjad retweeted
GOOGLE IS GIVING FREE ANTIGRAVITY ULTRA FOR 6 MONTHS 😳
how to apply
1. open the interest form
antigravity.google/use-cases…
2. add your institution email and lab page
3. include your ORCID or Google Scholar
4. explain your research in 3–4 sentences
what you get
• highest Antigravity usage limits
• Gemini 4 Argon access
• science plugin with 30+ life science databases
important
• only selected applicants get an email
• applications are reviewed weekly
• no guarantee of selection
who can apply
university students, postdocs, PIs, and researchers at nonprofit labs or national labs
Usama Amjad retweeted
how do you fine-tune a decision model on your own data?
in these two notebooks, you'll learn:
• how to prepare the training data
• how to fine-tune our d1-3B decision model
• using @UnslothAI and @huggingface TRL
all within 30 minutes on a free-tier GPU.
unsloth: github.com/Liquid4All/cookbo…
TRL: github.com/Liquid4All/cookbo…
ps: how adorable are these halloween kitties? 👻
New voices. Better accents. And less "checking..."
GPT-Live-1.1 brings these updates to Voice in ChatGPT, Codex, and dots, with new voices in French, German, Hindi, Mexican Spanish, Korean, and Japanese.
Rolling out today to all users. Coming soon to the API.
Say hello to GPT-Live-1.1
Usama Amjad retweeted
reverse engineer anything.
(100% open-source, 200k+ stars)
when you like a feature in someone else's app, you usually can't see how it was built because the source code isn't available. figuring it out used to mean hours jumping between 10+ specialized tools and reading machine code by hand.
REA is an open-source MCP server that hands this work to your agent. you give it an app and a question, and the agent traces the feature down to the compiled code, explains how it works, and can build a version for your own project.
how it works:
REA brings the tools reverse engineers rely on, like Ghidra, IDA and JADX, under one interface that Claude Code, Codex, Cursor and other agents can call.
your agent asks REA to inspect the app, and REA picks the right tool, runs it locally, and returns what it found along with the evidence behind each finding.
the agent then uses those findings to dig further, explain the behavior, or write and test its own version. since every claim points back to real code, the agent works from evidence instead of guessing.
what you can do with it
↳ see how a desktop app like Notion handles copy and paste, from the button you click to the code that runs behind it.
↳ look inside compiled programs and games to understand the logic they were built on.
↳ break down Android apps into readable code to see how a feature is put together.
↳ inspect how a website is structured and what it sends over the network.
↳ examine device firmware, network recordings and other files that were never meant to be read by people.
in one of their showcases, it rebuilt a sound function from the old DX-Ball game that compiles back to the exact same code as the original.
everything runs on your machine, and setup adds it to your agent with a single command: 𝗻𝗽𝘅 𝗿𝗲𝗮-𝗮𝗴𝗲𝗻𝘁𝘀 𝘀𝗲𝘁𝘂𝗽
it's meant for software you own or are authorized to analyze.
repo: github.com/morluto/rea
a while back, i wrote about two gaps in Claude Code. it only gets a summary when it reads a web page instead of the full content, and it can't see the full state of your backend. adding the right skills fixes both.
REA builds on that same setup and covers one more gap, since your agent can now understand apps it never had the source code for.
the full article is in the quoted post below.
Usama Amjad retweeted
Gemini 4 Argon is here! It is our frontier model built for complex workflows across real-world software engineering, tested across Google's own codebases on real production challenges. There, we have seen an improvement in both developer velocity, with a 35% increase in agentic code, and code quality, with a 30% decrease in post-submit rollbacks.
Rolling out now to Google AI Ultra subscribers, try it in the Antigravity app and the Antigravity CLI. Get inspired with what you can build today ↓
Usama Amjad retweeted
The moment you've been waiting 4…
Our new frontier model, Gemini 4 Argon, is rolling out now in the Gemini app to bring your most complex ideas into reality.
See how Gemini 4 Argon and our latest updates across the Gemini app help you get the most out of every prompt. 🧵






























