Helper Prime

18 days ago

GM ☀️ AI isn’t “coming soon.” It’s already here — in the code, in the products, and in the way we think and build. Every day a new tool drops, a new model ships, a new way opens up to do in hours what used to take weeks. The ones who win won’t be the loudest about AI. They’ll be the ones quietly shipping and actually using it. Don’t wait for the perfect moment. Open the editor. Make one thing better today. GM, builders.

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BrainAI

@AI__Brain

19 days ago

The next big app might not be an app at all. It might just be a phone number you text. That sounds like a joke, but look at what's happening right now. More than 20 AI agents now live inside iMessage, WhatsApp, Telegram and plain SMS. No download, no account setup, no new icon on your home screen. You just text them like a friend. And they don't just answer questions. They order groceries. They book appointments. Some of them literally call a restaurant or a hotel for you, sit on hold, and text you back when it's done. Honestly, my first reaction was "why would anyone need this when ChatGPT exists?" Then I thought about how I actually live. I don't open new apps. I barely open the ones I have. But I check my messages a hundred times a day. Everybody does. That's the whole trick. The best place to put an assistant isn't a new app. It's the place you already are. And the money clearly agrees. One of these companies, Instinct, raised a billion dollars at a ten billion valuation in September. Another one, Tab, just came out of stealth at three hundred million. Apple even approved the first AI agent for business messaging back in June. This isn't a side experiment anymore. What I find really interesting is how specific they're getting. There are family agents that keep track of school pickups and send a nightly summary. Travel agents that plan trips with real humans in the loop. Work agents that run your calendar and emails. Creator agents that turn a voice note into a caption. It's starting to look less like one super assistant and more like a group chat full of tiny specialists. Now the part nobody puts in the launch video. To be useful, these things need a lot. Your email. Your calendar. Your card. Sometimes your phone number to act as you. That's a level of access I wouldn't give most humans I know. The better ones get this. They show you the item, the total and who gets paid before anything happens. They ask before they send, buy or delete. Some say they never train on your chats, some keep your card in a vault they can't see. That's good. But a lot of that is still the company's word, not an independent audit. So here's my personal rule if I try one of these. Start with something boring, like groceries or a reminder. Use a one-time card, never my main one. Check that it asks before it pays. Make sure I can cut off email access in one click. And read whether my messages train their models. If it passes all that, I'll happily let it sit on hold with my internet provider for an hour. That alone might be worth the price. Big picture, I think this is where AI quietly becomes normal for most people. Not through some fancy app they have to learn, but through a text thread they already know how to use. The question isn't whether you'll text an AI. It's how much of your life you'll let it handle once you do.

AI__Brain's tweet photo. The next big app might not be an app at all. It might just be a phone number you text.

That sounds like a joke, but look at what's happening right now. More than 20 AI agents now live inside iMessage, WhatsApp, Telegram and plain SMS. No download, no account setup, no new icon on your home screen. You just text them like a friend.

And they don't just answer questions. They order groceries. They book appointments. Some of them literally call a restaurant or a hotel for you, sit on hold, and text you back when it's done.

Honestly, my first reaction was "why would anyone need this when ChatGPT exists?" Then I thought about how I actually live. I don't open new apps. I barely open the ones I have. But I check my messages a hundred times a day. Everybody does.

That's the whole trick. The best place to put an assistant isn't a new app. It's the place you already are.

And the money clearly agrees. One of these companies, Instinct, raised a billion dollars at a ten billion valuation in September. Another one, Tab, just came out of stealth at three hundred million. Apple even approved the first AI agent for business messaging back in June. This isn't a side experiment anymore.

What I find really interesting is how specific they're getting. There are family agents that keep track of school pickups and send a nightly summary. Travel agents that plan trips with real humans in the loop. Work agents that run your calendar and emails. Creator agents that turn a voice note into a caption. It's starting to look less like one super assistant and more like a group chat full of tiny specialists.

Now the part nobody puts in the launch video.

To be useful, these things need a lot. Your email. Your calendar. Your card. Sometimes your phone number to act as you. That's a level of access I wouldn't give most humans I know.

The better ones get this. They show you the item, the total and who gets paid before anything happens. They ask before they send, buy or delete. Some say they never train on your chats, some keep your card in a vault they can't see. That's good. But a lot of that is still the company's word, not an independent audit.

So here's my personal rule if I try one of these. Start with something boring, like groceries or a reminder. Use a one-time card, never my main one. Check that it asks before it pays. Make sure I can cut off email access in one click. And read whether my messages train their models.

If it passes all that, I'll happily let it sit on hold with my internet provider for an hour. That alone might be worth the price.

Big picture, I think this is where AI quietly becomes normal for most people. Not through some fancy app they have to learn, but through a text thread they already know how to use.

The question isn't whether you'll text an AI. It's how much of your life you'll let it handle once you do.

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18 days ago

GM ☀️ AI isn’t “coming soon.” It’s already here — in the code, in the products, and in the way we think and build. Every day a new tool drops, a new model ships, a new way opens up to do in hours what used to take weeks. The ones who win won’t be the loudest about AI. They’ll be the ones quietly shipping and actually using it. Don’t wait for the perfect moment. Open the editor. Make one thing better today. GM, builders.

Promtor

@Prom_Tor

19 days ago

I gave Opus 5.5 $2,324 in paper money and one task: make it 2x. it hit 2x. then it hit 3x. nobody told it to stop. $2,324 → $7,468. 3.21x. 20 trades. 18 green, 2 red. and yeah, it's a sim. that's the point. I want to see how it thinks before it ever touches a real dollar it isn't one bot. it's four agents on my phone, each with exactly one job: > LAUNCH SNIPER hits fresh pairs in the first 5 minutes, only after the boring safety checks pass > BREAKOUT waits for a volume surge and rides it with a trailing stop > REBOUND buys -30% wicks and sells the bounce > SMART MONEY watches top wallets and follows them the second they move how they did: → Smart Money: 5 wins, 0 losses, +$1,745 → Launch Sniper: 4 wins, 1 loss, +$1,472 → Rebound: 5 wins, 0 losses, +$1,174 → Breakout: 4 wins, 1 loss, +$753 my favourite part isn't the green ones. it's the 2 red ones. Launch Sniper cut $JUP at -6% and moved on. no revenge trade, no "it'll come back". the loss stayed small and the other three didn't even notice that's what I'd never do as a human. I'd hold the red one for an hour hoping it comes back what it looks like in the last few seconds: -> SMART MONEY sells $JUP, +58%, +$317 -> REBOUND sells $WIF, +41%, +$230 -> LAUNCH SNIPER sells $MEW, +52%, +$234 -> BREAKOUT trails $BONK out at +38% my honest thoughts after watching it: the edge isn't in the model being smart. it's in the split. one agent that does everything gets greedy. four agents with one job each and hard exits just... execute and a sim that goes 3x tells you nothing about real fills, slippage and fees. that's the next test, with small money and every trade over $100 waiting for my tap prediction is not profit. but this is the first time I watched an AI trade and thought "ok, that's actually how I should be doing it" the four of them don't sleep. I'm going to

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23 days ago

This is starting to look genuinely f*cking unreal I asked Claude to build a live particle engine from scratch. No After Effects, no stock footage, no templates. Just code What you're looking at right now: 30,000 particles flowing in a single stream, every one of them calculated frame by frame A full color spectrum running through it, from deep red to pure white, shifting in real time Spray, glowing orbs, sparks and comets flying around the stream, all reacting to the beat A live mixer panel on the left, plus a radial spectrum and wave ridges pulsing with the music Every frame rendered at 60fps, with an original phonk track synced to every drop The trick is the workflow. I gave it one reference video and then just directed it like a designer: remove the terminal, more colors, more movement, replace this chart with something new. Each change was one message, and nothing else broke A motion designer would bill days of work for this. It took one evening Code is quietly becoming the new After Effects, and most people still haven't noticed

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27 days ago

@AI_creator_Yara $508,000 in 4 months is a very good result; I wonder how much of that money was spent on AI.

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28 days ago

Bro is on top form as always; I'll give him a run for his money soon, too I'll find a topic and theme that I like.

28 days ago

Claude Agent just ran a full trading terminal across 24 markets with 12 sub-agents and closed the loop cleaner than most discretionary desks manage in a full session. Signals climbed past 1,200. Fills reached 310. Uptime sat over 4 hours in paper mode while the book and particle solver never stopped moving. It scans funding and momentum first. Then it checks correlation, sizes the position, and only then routes. One fill closed 100% with 0.8bp slippage. Another went out as a limit maker. The verify step stays visible the entire time. Risk never leaves the loop. Exposure, volatility, and slippage get checked before the next plan is allowed to fire. The agent reasoning feed keeps logging scan, think, plan, exec, verify, hedge without gaps. Most setups stop at the signal and hide everything after. This one leaves the full chain on screen while the order flow and book depth difference fields keep updating in real time. The interesting part is how little it pretends. It shows the plan, the route, and the actual fill match instead of only the green number at the end. That verification layer is what separates a terminal that just fires from one that actually tracks what it did.

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28 days ago

Claude Agent just ran a full trading terminal across 24 markets with 12 sub-agents and closed the loop cleaner than most discretionary desks manage in a full session. Signals climbed past 1,200. Fills reached 310. Uptime sat over 4 hours in paper mode while the book and particle solver never stopped moving. It scans funding and momentum first. Then it checks correlation, sizes the position, and only then routes. One fill closed 100% with 0.8bp slippage. Another went out as a limit maker. The verify step stays visible the entire time. Risk never leaves the loop. Exposure, volatility, and slippage get checked before the next plan is allowed to fire. The agent reasoning feed keeps logging scan, think, plan, exec, verify, hedge without gaps. Most setups stop at the signal and hide everything after. This one leaves the full chain on screen while the order flow and book depth difference fields keep updating in real time. The interesting part is how little it pretends. It shows the plan, the route, and the actual fill match instead of only the green number at the end. That verification layer is what separates a terminal that just fires from one that actually tracks what it did.

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29 days ago

@AI__Brain I get it. Good luck with the promotion. In X, the most important thing is not to give up just like in anything else.

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BrainAI

@AI__Brain

about 1 month ago

Claude Opus 5.5 does most of the work of Fable 5.1 and costs about 40% less to run than Opus 5. Anthropic shipped it on September 22 as the first model in the 5.5 family. The idea is simple: frontier work, lower bill. The sticker price dropped. Input and output sit 20% under Opus 5. Cache reads, the line that actually matters on long agent runs, fell further. It also answers faster. Output is more than 30% quicker than Opus 5, and Fast mode in Claude Code pushes that higher when you need it. On the coding work Anthropic published, it leads the model it replaces. The gap shows up on the agent benches, not on a single toy score. In one internal test it finished tasks with fewer tool calls and about half the tokens. Adaptive thinking stays on, so it decides how har to think instead of waiting for a switch. It is live on the Claude API, the major clouds, and in the Claude apps. Limits on paid plans went up, with one saveable reset you can spend on the day you need it. On Anthropic’s own safety audit it scored higher than any model they have tested.

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about 1 month ago

White TOEIDA robot lifts itself out of the open shipping case and stands fully upright on the living room floor. Early frames show the machine lying on its back inside the gray foam-lined case with both arms raised and the blue display glowing on the black head. The legs begin to move while the torso remains nested in the molded packaging. One hand stays open near the case edge as the body shifts. The robot then swings both legs outward over the side of the case. The white lower limbs extend toward the polished floor while the upper body stays supported by the foam. Arms remain slightly raised during the transition. The case doors stay open on either side throughout the sequence. Once the feet clear the packaging the machine pushes forward and sits on the edge of the case. From that position it leans and rises in one continuous motion. The white torso and black head clear the foam completely. Both feet plant on the tile as the legs straighten. In the final frames the robot stands fully upright beside the empty case. The TOEIDA name is visible across the white chest. The blue display on the face cycles through patterns. One hand hangs near the open case while the other rests lower. Curtains and furniture appear in the background behind the machine. The voice confirms the action in short statements. It announces it is standing up, asks not to be touched, confirms it has stood up, and requests that the packaging box be moved away before work begins. The entire sequence happens without external support once the legs leave the foam. The case remains open on the floor with the molded inserts still in place. The robot holds a stable standing pose next to it. The movement ends with both feet planted and the body balanced upright in the room.

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about 1 month ago

@Wardenclyffe_X Elon Musk is on top form as always; he does everything beautifully.

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about 1 month ago

White and black robot with toeida lettering on its chest performs wide arm swings and deep knee bends in a marble entryway. Opening frames show the machine standing upright with both hands raised near its head in front of a black railing staircase. It then drops into a side lunge with one arm extended forward and the other bent at the elbow. Subsequent moments capture both arms lifted high overhead while the legs stay planted. Middle sequence includes crossed arms in front of the torso followed by a low squat with arms stretched outward. The robot balances on one foot for a brief lift of the opposite leg while the head screen shows a grid of lights. Later frames reveal the unit from the side with one arm raised and the opposite leg extended in a long stride. Further movements feature rapid arm crosses at chest height and a deep forward lean with both hands near the knees. The machine finishes by returning to a neutral standing pose with arms relaxed at its sides. Marble floor reflections and the arched doorway remain visible behind every pose.

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about 1 month ago

@Kevin_VibeX Hi, I have a few questions about how to use X. My account has been restricted, and I can't get the restriction lifted. Please let me know what to do.

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boan

@0xboan

about 1 month ago

I started Grok Bot with $57. two hours in, a single trade had more than doubled it. 24 hours in, it was sitting at $3,948. 81% of its trades closed green. it’s a trading terminal Grok Bot built itself for Solana memecoins, after running through the history of 10k+ tokens. every scan it keeps only a handful of pairs. a dev sitting on too much supply gets skipped on the spot, liquidity has to be locked for a couple of months or more, the pool has to be deep enough to matter, and it watches where the whales are loading. five closes carried more than half the profit. that first one ended up being the smallest: > YUPPO +$246, +123% to the balance > GOMBLE +$310, +51% > ZANKO +$432, +39% > FRIZZ +$534, +28% > TWEEB +$615, +22% dollars up every single time, percent down every single time. the bigger the balance got, the bigger the position, so it never needed a wilder token to make more money. the rest came from small closes in between, growing right along with the balance. the losses stayed small the whole way. not one of them ate even a single big win. the first big win more than doubled the balance. the biggest one moved it less than a quarter. same bot, just more money behind every entry.

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about 1 month ago

Good artucles my frands

about 2 months ago

https://t.co/qHOrBcizWQ

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about 2 months ago

https://t.co/qHOrBcizWQ

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about 2 months ago

Mint bodycon on a patio and she sings you already know where she is. Ribbed dress, two braids, faded cap. First beat is the torso only. Second beat is her face dropping into frame with the mouth open on the line. Arms stay wide like the hook is still playing. Smile lands after the lyric, not before. Look stays locked so the face, hair, and green fabric match if another porch take drops tomorrow. Motion is only a sway and a step closer. Enough for a loop from anyone who stayed for the fit. Tile floor and cheap string lights beat a studio. Place feels stolen from a real house, so people stay for the next line. Cap sits low. Braids swing when she turns. Dress does the rest without a second outfit change. Batch two versions in the same light. Keep one from the chest down. Keep one already smiling at the lens. Same girl, same patio, same song. Quiet house loop that still holds a feed. Save the format if you want a clip that pretends she just walked outside. Hold the dress, hit the line, let the smile finish the take.

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