holy f*ck... Elon Musk's team just made airport rebooking lines useless
my flight got cancelled and 187 people were ahead of me at the desk. my Grok Bot rebooked me before the line moved 17 people
Grok Bot makes phone calls now. it sits on hold, talks to the agent and says up front it's an AI
what it did while I stood in line:
→ sat through 11 minutes of hold music
→ got me on the 7:40 AM flight tomorrow
→ the airline cancelled, so it asked for a hotel and meals. got both
→ "aisle seat is $49 extra" it didn't pay. it asked me. I took the free middle seat
→ texted my wife the new landing time (signed Grok Bot) and set my alarm
14 minutes on the phone. I walked out of the line, 168 people still in it
all it took was 3 rules I sent it once:
1. on every call, say you're an AI calling for me
2. ask for everything I'm owed, nothing made up
3. anything that costs money: ask me first
the Grok Bot Research Desk setup is in my article. read it below ↓
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I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
Comment " Grok_Bot "
2️⃣ Like and Repost
3️⃣ Follow me
@Nexa_Tech_Ai
I'll DM you the complete setup.
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I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
Comment " Grok_Bot "
2️⃣ Like and Repost
3️⃣ Follow me
@lihazadn_Ai
I'll DM you the complete setup.
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She was 13, a straight-A student, when she sent her boyfriend one video. At her new school, a stranger sent her a link. It was on Pornhub, titled "13 year old brunette shows off for the camera." Too scared to tell her mom, she messaged Pornhub pretending to be her mother. Then it came back up. One copy hit 2.7 million views.
In the video below, she tells it herself to the Canadian parliament. Wait for the 2.7 million views, and what the comments under that video said.
Her mom was a strict Catholic, a single mother of six. Serena Fleites didn't want to bring this home. So she typed into Pornhub's own report form:
"Hey, this is my daughter, she's only 14 now, this is child pornography, please take this down."
They took a week or two to answer. Then another two weeks to actually remove it.
She had been told Pornhub had a system. Once a video was flagged as child porn, it could never be uploaded again.
"But of course that wasn't true, because a week after it's been taken down, it had been re-uploaded again."
By then the video had gone around her school and the schools nearby. Strangers sent it to her. People threatened to send it to her family. She started ditching class, took drugs, dropped out and ended up homeless.
"I ended up trying to kill myself many times. I ended up in mental hospitals."
The copies kept collecting views. She had a hormone disorder: at 13 and 14 she looked 9 or 10. One upload sat at 2.7 million views under "hundreds of comments saying 'this is definitely child pornography, that girl can't be any more than 14, 13.'"
Pornhub still wouldn't take it down. When they finally answered, she says, they hassled her for more details. A child had to prove she was the child in her own video.
"I would have to go through the whole process of sending them pictures of me with my face next to my ID over and over and over again."
Even then, every takedown dragged on, "which would gain hundreds of thousands more views."
She told her family two days before the New York Times article came out.
A 13-year-old flagged it. Hundreds of strangers flagged it. Pornhub asked for her ID.
So was Pornhub just a slow website drowning in reports, or did it make money off every single week it made a child wait?
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I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
1. Comment " Grok_Bot "
2. Like and Repost
3. Follow me
@EaStEnRaY1
I'll DM you the complete setup.
显示更多
I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
Comment " Grok_Bot "
2️⃣ Like and Repost
3️⃣ Follow me
@quantumaix8
I'll DM you the complete setup.
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Given NYT article, I think Jensen is gone at $NVDA, potentially by tomorrow morning with my guess the CFO as interim-CEO. But I think the stock bottoms on a RELATIVE basis compared to the semi index post earnings next week at the latest. The new interim CEO will probably want to set a low bar and the stock could trade at a single digit PE vs 11x currently on CY26.
There are 40K employees at Nvidia and Jensen was a generational CEO but the pipeline of products I believe will sustain the company for ~2 years. There is a deep bench of direct reports. The analogy I would give is Steve Jobs took his medical leave in Jan-2011 and sadly died in October. $AAPL stock however rose 26%/26% in 2011/12 vs S&P 0/+12% Nasdaq -2/+14% on blistering revenue growth of 66%/45% in FY11/12. It took till year 3 for Apple revenue growth to slow dramatically to <10% in FY13 and then the stock massively underperformed that year.
For the AI trade and Nvidia’s stock, the bigger question for me remains the same. Was June 22nd the top in the AI trade overall? I do not think so given Agentic AI just started this year. OpenClaw came out in January for the tech savvy and Muse from Meta for the rest of us in September with others introduced since then. Agentic requires 10-100x more tokens. But time will tell if that was THE TOP.
From a technical standpoint, it does not matter if that was THE TOP. There has been forced selling in AI stocks and this Nvidia news is likely to clean out the rest. Why does it not matter? Even if it is March of 2000 and Nasdaq declines 78% from peak to trough over 2 ½ years, there were still 7 rallies that averaged 25% along the way back then. I think another one started on 11/5 but time will tell.
Stay nimble and best of luck.
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I LAUNCHED A GROK BOT TERMINAL OVERNIGHT, GAVE IT $44.82 AND STOPPED ASKING AI WHAT IT WOULD DO. BY MORNING IT HAD $11,643.21 AND SIX AGENTS LOGGING EVERY TRADE
I spent a year asking agents what they'd trade and watching the chat scroll. Last weekend I built the thing that actually trades, in Grok Bot, with no code I touched by hand.
The six agents share one screen, each one job:
> scanner reads new token pairs and volume spikes
> rug check filters suspicious tokens before anything executes
> sizer sets position from account equity, not a fixed ticket
> executor opens and closes with slippage tracking
> logger writes the reason behind every trade
> equity curve updates on every close
I went to bed on $44.82 and left the laptop open on the dashboard. By morning the balance read $11,643.21. Every trade on the activity feed had a reason next to it and a line in the log.
That's the shift I didn't see coming. Not that an agent made money overnight. That I stopped being the one asking "would you long this?" and started being the one reading the log of what already happened.
Starting balance: $44.82
Current balance: $11,643.21
Grok Bot built the terminal, the agent architecture and the dashboard. I described what I wanted and the thing went live.
The full build is in the article below ↓
The whole build is in the post below ↓
1. Comment " Grok_Bot "
2 Like and Repost
3. Follow me
@tec_marco10
I'll DM you the complete setup.
显示更多
This is the biggest irony of the whole Alice Huang / Nvidia saga: the Chinese government actually doesn't want Nvidia chips and is actively keeping them out of the country.
Last year it even ordered Alibaba and ByteDance to cancel their Nvidia orders ( and sent customs teams to the ports to check every advanced chip coming in (
And right now 600,000 Nvidia H200s are stuck in Hong Kong because Beijing won’t let them into the country (
Nvidia also explicitly frames this as a threat to its business in its latest annual report to the SEC: "The Chinese government has encouraged customers to purchase from our China-based competitors and discouraged customers from purchasing, importing, or using our data center products" (
Why does China do that? Because every Nvidia chip a Chinese company buys is one that Huawei or Cambricon doesn’t sell, and domestic chips can only catch up if people actually buy them (which means money for R&D, etc.).
Which means that the notion that Chinese intelligence was running honeytraps to get more Nvidia chips into China gets the whole thing exactly backwards.
In fact, it looks like Megaspeed - Alice Huang's company - was a counter-reaction to official Chinese policy: a private sector workaround to these efforts by the Chinese government to curtail Nvidia.
As was widely reported - including by Western media - Megaspeed built data centers in Southeast Asia and rented their computing power to Alibaba, which the New York Times called "a backdoor way of getting access" to Nvidia chips (
That is a backdoor not only - allegedly - around Washington’s export controls, but also around China's own efforts to wean its companies off Nvidia.
I can’t believe the Chinese government was too thrilled about it: it'd make just about zero sense for it to run countless domestic measures to prevent Alibaba from using Nvidia chips, yet at the same time have its top spy agency help the same Alibaba get Nvidia chips through the back door in Southeast Asia 🤷
At the end of the day, as with all such stories, you always need to look at "cui bono?": who benefits? Who benefitted is pretty clear:
- Nvidia itself: it's in the business of selling chips so a customer willing to spend billions of dollars on chips in Southeast Asia is a godsend. Again, as they themselves state in their SEC filings, not being able to tap into Chinese demand would have "a material and adverse impact on our business" (
- Chinese companies like Alibaba: facts are, 1) Chinese chips haven't yet caught up, 2) Chinese chip companies' production capabilities are still limited and 3) Chinese tech firms' historical tech stack runs on Nvidia’s CUDA ecosystem, and rewriting years of code for Huawei chips is painful. Renting Nvidia chips in Southeast Asia is the easy way to stay competitive and serve customer demand in the meantime.
- The US, according to core members of the Trump administration: back in July last year, US Commerce Secretary Howard Lutnick explained that the point of letting Nvidia sell more chips to China was to get Chinese developers "addicted to the American technology stack" (
Who does NOT benefit, according to official Chinese policy, is the Chinese state, which has made tech self-reliance one of its foremost priorities.
Which means that, to believe the spy story, you have to believe that a person - Alice Huang - was effectively a spy paid by her own government while simultaneously sabotaging its tech self-reliance drive, which it has spent years and trillions of dollars on - pretty senseless.
Stranger things have happened, I guess, but it doesn't pass the smell test.
And there is another absolutely major contradiction in the media story. According to a Financial Times article published yesterday ( "a person who knows [Alice Huang] said they had been asked by MSS for information about her earlier this year after news emerged that Singapore was investigating the company in relation to chip-smuggling allegations. The agency wanted to find out more information about Huang, including the nature of her business and connections, the person said."
Which raises a damn obvious question: if she were indeed an MSS asset, why on earth would the MSS need to ask the people around her who she was and the nature of her business?
It's a complete contradiction with the spy story - but very much not a contradiction with what I described above: a private businesswoman running a workaround to Beijing’s own policy, which the Chinese security apparatus would naturally want to look into.
Especially since, around about the same time, Shanghai police detained her business partner, reportedly her husband, in a stock manipulation case ( also coherent with Chinese authorities looking into her network, and much harder to square with her being a prized MSS asset.
And, to top it all, there is - to this day - not a shred of evidence that's been published that she is, in fact, a Chinese spy: just anonymous intelligence officials, repeated by journalists who never verified it, as I detailed here ( and here ( with one of the key FT journalists on this story actually admitting that he has no idea what evidence US intelligence actually has.
So the claim went to print without anyone seeing the evidence, without anyone being able to check it, and without anyone knowing whether it even exists.
And given everything above, from Beijing blocking the very chips she was supposedly recruited to help get into China, to the MSS asking around about her, to her partner being detained in Shanghai, my bet is that the evidence doesn’t exist at all. If anything, everything we can check points the other way.
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