runesleo

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

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 sneak peek at tomorrow’s community giveaway.
Gate has arranged a National Day red packet giveaway exclusively for our community:
50 USDT / 20 lucky red packets.
I’ll send the red packet code directly in the TG group on October 1. This code won’t be publicly posted on X—it’s reserved for friends in the group, first come, first served.
In addition, Gate officially has a continuous 7-day red packet giveaway from 10/1–10/7, with the first round starting at noon tomorrow.
Those who haven’t joined the group yet can join in advance:
The code will be posted directly in the group tomorrow.

I just tightened up my AI workflow today:
ChatGPT = the only entry point + central controller
Cursor / OPUS / Grok = the execution layer
And then Tibo said today that the $200 Pro plan will reopen tomorrow, with adjustments to how usage is calculated, but the 5-hour limit will not return—and there will also be a new Pro update tomorrow.
I now feel that “which model has the highest quota” may increasingly not be the most important question.
What really matters is:
Who is responsible for long-term context and state;
Who is responsible for judgment and orchestration;
Who is responsible for spec