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runesleo

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Now when I want to post, I just tell Claude on my phone, “Save it as a scheduled draft,” and I’m done.
It handles the rest:
1. First checks which posts are already scheduled for today, leaving at least 1 hour between them. I ran the stats on my own original posts over the past two months: posts less than 15 minutes after the previous one had a median of only 35 impressions; those spaced 1–3 hours apart had 2,395
2. Automatically posts at the scheduled time, including quote posts
3. Before posting, verifies that the text matches exactly and that the quote card is present; afterward, checks the
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When you have a bunch of Claude conversations open, the most annoying thing is the titles: you start with “Work Priorities,” then somehow end up fixing the radar and clearing the disk, and later you can’t find it at all.
Here’s a small trick: let Claude rename the conversation itself.
The Claude desktop app (Code mode) already has a tool for renaming conversations; it just doesn’t use it proactively by default. Add one line to your global rules (the original text is shown in the image), and it will rename the conversation whenever the main thread shifts.
Result: “Work Priorities” → “Disk Clean
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$AXIS tokenomics was announced today. If you haven’t participated in @axisrobotics yet, here’s the entry:
Most of the buzz is about “TGE is coming,” but I’m more concerned about another question: Is it still worth starting now?
First, the official figures:
• Total supply is 1 billion, with 16.5% circulating at TGE. Of that, 8% is allocated to the ecosystem fund and 6% to liquidity, while only 2.5% will actually reach the community (the first S1 airdrop batch + Sonar + Kaito)
• The team and investors hold 31.67%, with 0 unlocked at TGE, followed by a 12-month lock and monthly releases over 24
KAITO-2.24%
When you're out with only your phone and want to start a new local Claude Code session on your Mac at home:
Method: keep this running on the Mac
claude remote-control --spawn=same-dir
Then configure it to launch automatically at startup (launchd). In the Claude App on your phone → Code, you can directly select this computer to start a new session. The session runs locally, so it can use local files and MCP.
Two pitfalls:
1. Without the parameter, it gets stuck on an interactive prompt, and when running in the background, it will exit because it cannot read input.
2. Sessions from the desktop a
ChatGPT’s GPT 6 and 6.1 are simply unusable; I’ve returned to the embrace of Claude Max🤦
Small bug report @claudeai: when using Remote Control on mobile for a Claude Code session running on my Mac, the effort level shows "Medium" on mobile, while the desktop shows (and actually runs at) "Extra high". Trying to change it on mobile fails with "Unable to change effort. Please try again." Latest app version. Expected: show the real level, or let me change it remotely.
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iPhone → Mac remote control is finally working.
I use MCPX / AI Agent to run tasks, and what I fear most is getting stuck on GUI authorization. So I used NetEase UU Remote to provide a manual fallback.
After running into three pitfalls—Clash TUN, API timeouts, and same-account control permissions—the phone was tested to successfully control the Mac.
The Agent executes, monitoring detects anomalies, and the phone takes over. Automation doesn’t have to be error-free, but it must be able to continue after getting stuck. (Screenshot redacted)
Damn, this wave of AI updates today really left me stunned!
ChatGPT’s new intelligent output format, the upgrade to Grokbot’s ability to read content on X, and the crazy evolution of large model capabilities lately…
I suddenly had a very strong feeling:
For an ordinary person, the future may really be that a single ChatGPT chat box is enough to become their entire digital work gateway.
People online often say that ChatGPT is finished, OpenAI is finished, and Opus 5.5 has already crushed them.
But my own experience has been completely different.
During this period, I’ve been using AI almost eve
A strong product suggestion:
@OpenAI @ChatGPT Could you raise the active task limit for ChatGPT Scheduled Tasks to 100+? Especially for Pro users.
When ChatGPT becomes the entry point for personal AI work, a dozen or so scheduled tasks are far from enough.
I want it to simultaneously manage dozens or even hundreds of continuously running agent workflows: information monitoring, research, project tracking, automated execution...
That’s what’s truly exciting about AI agents: not just answering questions, but continuously working on people’s behalf.
Of course, it would be best to support task gro
Fuck, this wave of AI updates today really blew me away! ChatGPT’s new intelligent output format, Grokbot’s upgraded ability to read content on X, and the insane evolution of large-model capabilities lately have suddenly given me a very strong feeling: for an ordinary person, in the future, a single ChatGPT chat window may truly be enough to serve as their entire digital work portal. People online often say ChatGPT is finished, OpenAI is finished, and Opus 5.5 has already been grinding them into the ground. But my own experience has been completely different. During this period, I’ve been usin
OPENAI-0.87%
GROK-0.78%
1/7
Over the past couple of days, I migrated my entire Polymarket data/strategy infrastructure to V2.
I initially thought it would mainly involve switching a few API endpoints, but only after actually completing it did I realize:
The most dangerous issues aren’t direct errors, but silent failures where programs continue running and data continues being produced while the results are quietly calculated incorrectly.
I ran into several pitfalls and am leaving a record for others working on Polymarket bots/data stacks.👇
Today, I suddenly found myself envying that kind of state:
You have a position of your own, as well as the energy to stay deeply involved in a community for the long term and build alongside everyone else.
It reminds me of the inscription era. A lot of people were genuinely holding, researching, creating content, and bringing others in all at the same time, working together to push something forward.
Looking back now, that sense of participation was actually quite rare.
First, you had to get in early enough.
Second, your position had to be meaningful enough to you personally. If your position
Lately, I’ve been thinking about a question:
In a bull market, is it really appropriate to devote almost all of your research energy to prediction markets?
This isn’t a bearish take on prediction markets.
On the contrary, I still believe they will be a very important sector in the long term, and that strategies, automation, and information advantages are all worth continuing to pursue.
But I increasingly feel that:
The market environment has changed, and people’s attention allocation should change with it.
Bear markets or low-volatility periods are well suited to spending a great deal of time
I’ve had a pretty counterintuitive feeling:
Recently, I’ve been switching back and forth between GPT-5.6 and GPT-6 in ChatGPT’s Chat, and I’ve actually kept feeling that 5.6 is more useful.
It’s not about benchmark scores or “which one is smarter,” but about the actual delivery experience.
My impression of 5.6 is:
It better understands what I want, has higher information density, provides more substance, and produces output that’s closer to something I’d actually use in the end.
By contrast, 6 often makes me feel like there’s a lot of information, but the structure is messy and there’s too muc
If an “AI class divide” really emerges in the future, I think it may ultimately be reflected in more than just “who can or cannot access the most powerful models.”
It will further differentiate into:
Who has more computing power
Who has more complete data
Who has greater tool permissions
Who can let AI continuously access their long-term context
Who has already connected Agents to real-world business and execution systems
At that stage, the model itself may instead be just one layer.
What truly creates the divide will be how powerful the AI infrastructure behind each person is.
With the same m
Am I the only one having an absolute blast using GPT 5.6 in this ChatGPT chat every day? 👀
A few days ago, I said that what personal AI really needs is not a Memory document, but a long-term memory system.
Over the past two days, I actually rebuilt it from the ground up.
In the end, I discovered:
Memory still isn’t the hardest part.
The truly difficult part is Continuity.
I already have 2764 ChatGPT history entries, along with local full-text and vector search.
In theory, AI can now find at any time:
“What did I say before?”
“What did I research?”
“What did I do?”
But in reality, an absurd problem still occurs:
AI finishes researching a project.
It reaches a conclusion.
It even know
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I had my Dot design an exclusive look for itself and set the avatar as well.
I only gave it one prompt: You are my long-term AI command center, coordinating multiple Agents and workflows and spotting important signals early. The look should be calm, sharp, and reliable, recognizable even at a small size; no text, no generic robot, and no cuteness for the sake of being cute.
It chose a dark blue owl with amber eyes and a track pattern on its chest representing multiple workflows, and even gave the look a name: Sentinel.
From generating the look and creating the animated pet to setting it as the