01 / Image Processing
Image Upscaler
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HOTAI NEWS ·
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see what is next in AI.
AI news, Chinese discussions, new GitHub projects and real experience —
find the signals and opportunities worth following.
Latest SignalsLoading AI newsExplore opportunities ↗
Five sections to find useful signals.
From events to usable tools—read it all in one page.
01AI NewsAI news from around the world.↗
02AI DiscussionsPopular posts and views from the Chinese AI community on X.↗
03AI Open SourceNew repositories, breakout projects and rising Stars.↗
04AI OpportunitiesFresh opportunities and real project stories.↗
05AI ToolsTry these open-source utilities right away.↗
01 / AI News
The latest news worth your time.
AILATEST SIGNAL
News will appear here shortly
Newly collected news will appear here.
More signalsAwaiting update
News will appear here when available.
02 / AI DiscussionsPrevious calendar day · Beijing time
Chinese AI discussions,
what came up yesterday?？
Every hot post should return to the original thread to verify the author, time, and visible interactions. Today's morning briefing has not yet been integrated; the page displays its status accurately.
Explore AI DiscussionsREPORT STATUSNot available yetWaiting for today’s briefing
ORIGINAL POST FIRSTAUTHOR / TIME / EVIDENCENO FILLER
03 / AI Open Source
GitHub projects worth exploring.
Using yesterday's star increase as the core, distinguish between new warehouses, explosive growth, and sustained strength.
Yesterday’s trends are awaiting an update.
Showing the latest available digest. It will refresh when a new issue is ready.
Choosing open source tools? Read our analysis
04 / AI Opportunities
Turn opportunities into practical ideas.
Read the context, approach and results of a project to see if it fits you.
Find a practical method for the task in front of you.
Choose a learning path for your task, then explore concepts, tool comparisons and tests.
Complete a coding task with AI ↗Build a knowledge base with verifiable sources ↗Extract and process information from images ↗
Explore learning paths ↗ · Browse the AI Wiki ↗ · Choose a model for your task ↗ · Explore our test materials ↗
Less noise,better decisions.
AI News.
The latest AI news, ordered by when it was collected. Original publication times and summaries are included when available.
News is not available yet.
AI Discussions.
Return to the original X post to see what the Chinese AI community really discussed yesterday. Statistics are based on the previous natural day in Beijing Time, including only content where the original post and publication time can be verified.
NO VERIFIED ISSUE YETToday's briefing
Today's briefing
is awaiting reliable source posts.
Posts will only be published after verification of the original post, publication time, and interaction data; if data is temporarily unavailable, the status here remains pending integration.
01 / Source Links02 / Beijing Time03 / Verifiable Engagement
AI Open Source.
Yesterday's trends are sorted by newly added Stars; yesterday's new warehouses, one-week candidates, and the AI overall list display current Stars. All columns only accept AI-related repositories.
Yesterday’s trends are awaiting an update.
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02 / Text
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03 / Image conversion
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11 / Text
Text Cleaner
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AI Opportunities.
First identify noteworthy opportunity leads, then read real case studies’ conditions, methods, and results.
NEW SIGNALS / Opportunities
Opportunities.
Includes regular posts and short posts from the last 30 days. Click to read summaries consistent with WeChat notifications; for full content, please view the original post.
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Full details in the original post
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Scan the code to enter Shengcai Youshu and view the original author's complete share.
CASE NOTES / Stories
Case Studies.
For organized project experiences and authors' self-reported achievements, click to view the brief summary first.
Let ChatGPT write code, test locally with Codex, can mobile devices continue to command?
The author uses a mini-game to demonstrate task handover among ChatGPT, Codex, Work, and GitHub.
Review the results before exploring further
The century uses ChatGPT for solution and code writing, Codex for local running and testing, and Work to pass instructions, aligning versions via GitHub. He demonstrated a collaborative process from code delivery to local testing and playtesting using a small game, also explaining that the execution computer and bridging services need to remain running. The original post did not calculate token savings, and the public page does not present the demonstration as a universally reproducible effect.
Our Take
Three things to consider about this case
- Why it matters
- Clear task handover, version verification, and local acceptance testing are more important than simply connecting multiple models together.
- Who it suits
- Suitable for those who use ChatGPT and Codex simultaneously and are willing to maintain a local runtime environment.
- What to check first
- The author presents a collaborative demonstration; the original post does not calculate universally saved time or tokens.
- Who it suits
- Independent developers and those needing to improve workflows
- What to try first
- Select a small task with clear boundaries and create a minimum viable version that can be handed over for others to try.
- What to measure
- Record task completion rate, number of manual corrections, and whether users reuse the service.
What does the original post cover?
- Which tools handle which parts of the work, and how to avoid repeatedly moving context?
- What running conditions are needed to continue directing a task across devices?
- How to distinguish between a model claiming test pass and actual completion of acceptance testing on your own machine?
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