TakiBera

Oh man, th-th-this, @Railway
Luckily, it wasn't used much, and the product's user base is still small.
Imagine if your Vercel/ChatGPT/Cursor got leaked—how many API keys are on there? 😂.

After exploring the Agentic Software path for a long time, I built an open-source Agent product: MAGI, named in homage to *Neon Genesis Evangelion*.
MAGI is not a standard open-source project written for humans. It does not intend to be commercialized, the repo is barely packaged, and there are no restrictions on what language commits are written in. In the future, the code will be read by agents, so whether it is human-friendly is not that important; you could even delete all the comments.
I also make no promise of backward compatibility. I assume users already have their own agent, or that M

BotlineMCP is a project I organized and open-sourced yesterday,
It’s a small personal tool that lets everyone have their own Bot/Dot/Muse take a look and get started quickly,
The idea is simply to set up an MCP server on Vercel (free), then let all agent products connect to it. The permissions available vary by agent—not all of them can operate in real time, but they’re close:
- Bot can connect directly in real time via the Cursor API,
- Dot can use the MCP draft’s streaming events to connect to work/chat/codex in real time, but unfortunately dot can’t😂. dot can only be woken up and requires

After testing the unified plan of @cursor_ai + @grok + @bot + @X for several days,
After merging them into a single pool, the Token limits are actually quite clear. For example, the Super plan ($100 tier) has a weekly usage cap of 1.25 billion Tokens, or 5 billion per month based on 4 weeks.
Bot consumes the most quota because it can still call third-party models, but usage is converted into the equivalent number of Grok model Tokens and counted toward the limit.

Current AI Agents are at this stage:
- They can solve tasks within a given limited context, sometimes even outperforming humans, but perform unsatisfactorily in broader contexts.
It is currently unknown how broad the context needs to be to achieve AGI, and methods for estimating this are also lacking, so this constraint remains structural rather than economic.
The current solution is to have each agent handle only matters within its domain and outsource everything else. In other words, pay a higher economic cost to mitigate the structural deficiency.
Thus, we are seeing a feudal class model fo

I have a small research team and an R&D Grokbot @bot team.
The research team takes the papers or ideas I throw at them, discusses them with me, identifies potential research gaps, and searches the literature to verify whether there’s a real opportunity.
If I think the direction is worth exploring, the R&D team steps in and runs small, cheap experiments to see whether the idea shows any positive signal.
Only after we get encouraging results from those small-scale experiments do I bring in Cursor, Codex, Claude, etc. to implement and run the larger-scale experiments.
The important part is that

Currently, Grokbot @bot is not designed to support manual model selection or multiple sessions. The goal is to be as simple and intelligent as possible, making all configuration decisions autonomously for users and minimizing their burden.
The trade-off is that it may currently spend a large amount of quota on some strange tasks. For example, sometimes an agent's actions are repeatedly blocked by certain security policies, and the agent keeps trying to bypass them, resulting in many back-and-forth steps. Users cannot adjust cloud-side security policies, so they also cannot approve certain exce

Someone asked why BTC just dropped. At the same time, US stocks are calm, and oil and gold haven’t moved.
Today, quite a few crypto friends who bought BTC across transfers and Hyperliquid (Haili­si) may have been liquidated by the needle—pierced and exploded. If there’s a malicious market maker behind it, this wave could also be another round of targeting crypto friends.
Hyperliquid Shanghai (Haili­si) poked the price to $920—don’t know how many people got liquidated. When I placed my order, I had to log into my wallet; it took a minute and I missed it. Friends who had orders set in advance di

I strongly advise everyone not to short 长鑫科技 $CXMT today.
A-share stocks’ biggest feature is that there is no intraday trading, including the Sci-Tech Innovation Board. That means people who buy today cannot sell today; they need to wait at least until tomorrow (T+1). But people who sell today can buy back again.
Now the turnover rate has already exceeded 50%, and a supply shock could happen.
By then, there may be almost no shares left to sell in the market—only buy orders with no sell orders. The price can be pushed up as high as they want. Those who bought and are currently in profit won’t