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elon musk grabbed the source code openai open-sourced by accident, rewrote it in rust over a weekend, and shipped it as a free coding agent that does everything $200/mo chatgpt pro does. why pay $200 to openai and $200 to claude when this runs for $8 the swarm above... is one weekend of exactly that: thousands of agents pouring through four endpoints, three paid seats billing $1.80 a task while the free fork bills $0. musk co-founded openai, walked out, and when they left codex on github under a permissive license, he forked it, stamped grok on it, and gave it away what the free version does that the $200 seat charges for: the agent · openai's own engine -> it reads your repo, writes patches, runs your tests, and loops until they pass, exactly like codex -> because under the hood it is codex, just faster and free. you are paying $200 for the paid skin of a tool now sitting on github the license · apache-2.0, un-revocable -> free to use, free to fork, free to ship inside your own product with zero strings -> openai cannot pull it back. musk made sure the license is the kind that never expires the switch · one line, no new tools -> point it at any openai-compatible or claude-compatible endpoint, including an $8 kimi backend -> same terminal, same workflow, gpt-5.6 and opus 5 just quietly lose the seat the bill · $400 down to $8 -> chatgpt pro plus claude max is $400 a month. the free agent plus an $8 kimi key does the same daily work -> that is a 98% cut, built out of openai's own source code, handed to you by the guy suing them here is the part they will fight me on: openai did not lose this to a better model, they lost it to their own license and an enemy with a weekend free. the $200 was never the tool, it was the toll, and musk just put openai's own logo on the road around it drop your $400/mo ai stack to $8. the run above is openai's own agent, rewritten free, doing the job it bills $200 a month for. the full breakdown is in the article belowshow more

starmex

9,768 subscribers

111,684 次观看 • 1 个月前 •via X (Twitter)

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33 条评论

Avid 的头像

Avid1 个月前

Wow, this is amazing! This is really nice. Could you share the repo?

starmex 的头像

starmex1 个月前

article has the repo plus the setup steps fam

DipXHunter 的头像

DipXHunter1 个月前

@grok is it a bullshit?

Apollon Foivos Bakis 的头像

Apollon Foivos Bakis1 个月前

Open source makes agent economics fascinating.

Midblade ⚔️ 的头像

Midblade ⚔️1 个月前

that video is made up bullshit

Gipp 🦅 的头像

Gipp 🦅1 个月前

did you test the kimi backend yet?

starmex 的头像

starmex1 个月前

tested on two repos, holds up. only diff was slightly slower first token

BluntRiser 的头像

BluntRiser1 个月前

Unlock singularity and make usage limits unlimited !

Joshua Winthrop 的头像

Joshua Winthrop1 个月前

@grok is this true?

Emma Rodriguez 的头像

Emma Rodriguez1 个月前

Wild claim, but the bigger trend is real: open AI agents are pushing costs down fast. 🤖

Benjy Wang 的头像

Benjy Wang1 个月前

Graph and node visualizations is my BS filter for AI on X.

Se state 的头像

Se state1 个月前

Most of Elon’s endeavors, I wouldn’t refer to as accidents, but I guess it depends how you look at it as a scientist because sometimes you do learn unintended things along the way

Adel Bucetta 的头像

Adel Bucetta1 个月前

the honest answer is corporations like openai will struggle to adapt because innovation in ai isn't about proprietary code, it's about who can iterate faster and build a better mousetrap

kocer 的头像

kocer1 个月前

wait this free fork really does the same agent work as the 200 dollar seats

beamnxw ./ 的头像

beamnxw ./1 个月前

open source just changed the pricing game

Alden 的头像

Alden1 个月前

Before developing a self actuating trading bot, the author MUST thoroughly understand trading. AI can't replace flawed market logic. It only scales it. Deterministic data. AI trading intelligence. Deterministic execution.

Some Oaths Never End 🇺🇸 的头像

Some Oaths Never End 🇺🇸1 个月前

@grok verify

dunik 的头像

dunik1 个月前

wow, very nice dashboard, looks amazing

sovereign sense 的头像

sovereign sense1 个月前

🤔

Lyle de Groot 的头像

Lyle de Groot1 个月前

Apologies for asking again, but I read the article and cannot see a link to the repo, would you mind positng it here @starmexxx ?

ByteCapital Labs 的头像

ByteCapital Labs1 个月前

why you don't start now i know why just click

Jimmy h. AV. 的头像

Jimmy h. AV.1 个月前

Es el clásico formato de hype exagerado para acaparar interacciones en X....Mitomania parece un virus universal todos mienten por atraer atención.

Knight Todd 的头像

Knight Todd1 个月前

Organizations adopting artificial intelligence typically succeed when they integrate it into broader strategic goals over the next decade.

Ares 的头像

Ares1 个月前

This is pure genius 🔥 Dropping $400 stacks to $8 with Musk’s free fork is exactly the kind of move we needed.

Dan 的头像

Dan1 个月前

Cool

Finer 的头像

Finer1 个月前

Crazy how fast AI tools are evolving

Donkey Unicorn 的头像

Donkey Unicorn1 个月前

@grok fact check please

kelvin 的头像

kelvin1 个月前

Thanks for sharing this Mann

leopardracer 的头像

leopardracer1 个月前

I saved this

Ashlynso J 的头像

Ashlynso J1 个月前

No he didnt. Shit the fuxk up You grifter

rewind 的头像

rewind1 个月前

bro turned the license into the product

Charlie.ask 的头像

Charlie.ask1 个月前

IPO investors beware

Bored AOC | Totally Fake BTCH 的头像

Bored AOC | Totally Fake BTCH1 个月前

@grok this tru?

相关视频

mark zuckerberg just did the pettiest thing in tech: he gave away a model one point below gpt-5.6 for free, purely to make sam altman's $200 subscription look insane. it worked. the free one scores 61 to openai's 62 on every benchmark that ships, and it runs on a card you already own. the $200 you hand altman every month is now the price of a single point you cannot feel. here is the whole switch, and it runs for about $6 instead of $400: -> pull the open model zuckerberg dropped and serve it on localhost in one line, so every app that used to call openai now calls your own machine -> keep cursor, cline and your own scripts exactly as they are, none of them notice the endpoint left openai for your gpu -> send the rare heavy job to a rented nvidia card by the hour and keep the daily work local for the cost of electricity -> your $200 chatgpt seat and your $200 claude seat both go quiet, and the bill drops the same week here is the part they will fight me on: openai and anthropic are not selling a smarter model anymore, they are selling one benchmark point and a monthly invoice. zuckerberg just proved the point is free, and once the point is free, $200 is not a price, it is a dare. the full switch is in the article below. save it before the next open model passes them outright and the dare turns into a joke.

mark zuckerberg just did the pettiest thing in tech: he gave away a model one point below gpt-5.6 for free, purely to make sam altman's $200 subscription look insane. it worked. the free one scores 61 to openai's 62 on every benchmark that ships, and it runs on a card you already own. the $200 you hand altman every month is now the price of a single point you cannot feel. here is the whole switch, and it runs for about $6 instead of $400: -> pull the open model zuckerberg dropped and serve it on localhost in one line, so every app that used to call openai now calls your own machine -> keep cursor, cline and your own scripts exactly as they are, none of them notice the endpoint left openai for your gpu -> send the rare heavy job to a rented nvidia card by the hour and keep the daily work local for the cost of electricity -> your $200 chatgpt seat and your $200 claude seat both go quiet, and the bill drops the same week here is the part they will fight me on: openai and anthropic are not selling a smarter model anymore, they are selling one benchmark point and a monthly invoice. zuckerberg just proved the point is free, and once the point is free, $200 is not a price, it is a dare. the full switch is in the article below. save it before the next open model passes them outright and the dare turns into a joke.

starmex

105,174 次观看 • 1 个月前

a screenshot from openai's internal slack leaked last night, and sam altman is telling his own staff to stop comparing gpt-6 astra to the free models "in writing." when the ceo bans the comparison, the comparison is already over. the leaked line is one sentence: do not benchmark astra against open weights in any channel. you do not ban a fight you are winning. altman just told 4,000 employees the free model caught up, and one of them told the internet. here is the comparison he did not want on the record, and it runs local for about $6 instead of $400: -> pull an open model like grok or kimi k3, the exact ones altman just barred his own team from benchmarking, and load it onto one nvidia card -> point cursor, cline and every app at localhost, and none of them notice they stopped paying for astra -> keep the heavy jobs on a rented gpu by the hour and the daily work fully offline for the cost of power -> your $200 chatgpt seat and your $200 claude seat both go dark, and no memo can put that back here is the part they will fight me on: openai and anthropic are not banning the benchmark because it is wrong, they are banning it because it is right. the day a lab tells its own people to stop measuring, the $200 stops buying a better model and starts buying the silence around a tie. drop your $400 stack to a $6 local model and run the comparison altman deleted from his own slack. the full benchmark is in the article below, save it before it gets "clarified."

a screenshot from openai's internal slack leaked last night, and sam altman is telling his own staff to stop comparing gpt-6 astra to the free models "in writing." when the ceo bans the comparison, the comparison is already over. the leaked line is one sentence: do not benchmark astra against open weights in any channel. you do not ban a fight you are winning. altman just told 4,000 employees the free model caught up, and one of them told the internet. here is the comparison he did not want on the record, and it runs local for about $6 instead of $400: -> pull an open model like grok or kimi k3, the exact ones altman just barred his own team from benchmarking, and load it onto one nvidia card -> point cursor, cline and every app at localhost, and none of them notice they stopped paying for astra -> keep the heavy jobs on a rented gpu by the hour and the daily work fully offline for the cost of power -> your $200 chatgpt seat and your $200 claude seat both go dark, and no memo can put that back here is the part they will fight me on: openai and anthropic are not banning the benchmark because it is wrong, they are banning it because it is right. the day a lab tells its own people to stop measuring, the $200 stops buying a better model and starts buying the silence around a tie. drop your $400 stack to a $6 local model and run the comparison altman deleted from his own slack. the full benchmark is in the article below, save it before it gets "clarified."

starmex

24,200 次观看 • 28 天前

an engineer openai laid off in january open-sourced the exact thing that made gpt-6 astra worth $200 a month, three weeks after they walked him out. call it revenge, call it the most expensive severance package in history. sam altman spent two years telling everyone the magic was locked in the cloud. one bitter ex-employee proved it fits in a github repo, and now the $200 seat is guarding a moat that is already public. here is what he leaked, and it runs local for about $6 instead of $400: -> pull his open repo, load it onto one nvidia card, and you have the part of gpt-6 astra people were actually paying for -> point cursor, cline and every app at localhost, and none of them notice they left openai for a model that never phones home -> route the rare heavy job to a rented gpu by the hour and keep the daily work local for the cost of power -> your $200 chatgpt seat and your $200 claude seat both go dark the same week the repo trended here is the part they will fight me on: openai and anthropic were never selling the model, they were selling the fact that it lived somewhere you could not reach. one guy they underpaid moved it somewhere you can. the $200 was the distance, and he deleted the distance. drop your $400 stack to a $6 local model and run the thing they fired him for sharing. the full build is in the article below, save it before they get the repo taken down.

an engineer openai laid off in january open-sourced the exact thing that made gpt-6 astra worth $200 a month, three weeks after they walked him out. call it revenge, call it the most expensive severance package in history. sam altman spent two years telling everyone the magic was locked in the cloud. one bitter ex-employee proved it fits in a github repo, and now the $200 seat is guarding a moat that is already public. here is what he leaked, and it runs local for about $6 instead of $400: -> pull his open repo, load it onto one nvidia card, and you have the part of gpt-6 astra people were actually paying for -> point cursor, cline and every app at localhost, and none of them notice they left openai for a model that never phones home -> route the rare heavy job to a rented gpu by the hour and keep the daily work local for the cost of power -> your $200 chatgpt seat and your $200 claude seat both go dark the same week the repo trended here is the part they will fight me on: openai and anthropic were never selling the model, they were selling the fact that it lived somewhere you could not reach. one guy they underpaid moved it somewhere you can. the $200 was the distance, and he deleted the distance. drop your $400 stack to a $6 local model and run the thing they fired him for sharing. the full build is in the article below, save it before they get the repo taken down.

starmex

12,339 次观看 • 1 个月前

elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below

elon musk started with 7 grok agents. by morning each had spawned somewhere between 80 and 900 more on its own, and no one had told them to multiply. openai and anthropic each sell you one agent that sits still for $400. this whole self-building swarm runs for $5 the swarm above is that overnight run, seven seeds that turned into thousands, every one of them working a slice of the same job with nobody at the keyboard here is the exact setup, and it costs nothing on top of a $5 key: -> spin up one grok agent and give it a standing order instead of a prompt: own a boring niche people search every day -> it reads x and reddit complaints in real time and picks the one nobody wants but everybody googles, because it is grok and it sees the whole app -> when the work outgrows it, it spawns its own helpers, 80 to 900 of them, and splits the site between them -> they build it on their own machines and ship 3 to 6 useful pages a night, on a routine you set once -> the swarm writes, negotiates and closes its own affiliate and referral deals by email, in your name, at 3am -> telegram sends you the money report and you never open the site -> month one is traffic, month three the first $237 lands, and it does not stop after that the whole time, opus 5 and gpt-5.6 are still sitting frozen, waiting for you to type the next message. one is a swarm that builds its own workforce and its own income while you sleep, the other is a $200 chat you have to drive by hand drop your $400/mo stack to $5, and bookmark this before someone's swarm spawns another 600 pages into the niche you would have owned. the full playbook is in the article below

starmex

98,444 次观看 • 1 个月前

What is a software factory? It is your workflow, your skills, and your domain knowledge, saved in files that the agent reads so the whole process is productized Think about the last app you built. You typed what you wanted, and the agent built it. You did not like it, so you made changes. You shipped it to Vercel, or you kept going. A factory puts structure on each of those steps. At each step you ask how to get the most from the model, and how to move faster. That is the conveyor belt. You ship quickly, and the quality stays the same. Mine is 5 md files. It works in Codex, Claude Code, and Cursor, because it does not depend on the model or the tool. Build your own.

What is a software factory? It is your workflow, your skills, and your domain knowledge, saved in files that the agent reads so the whole process is productized Think about the last app you built. You typed what you wanted, and the agent built it. You did not like it, so you made changes. You shipped it to Vercel, or you kept going. A factory puts structure on each of those steps. At each step you ask how to get the most from the model, and how to move faster. That is the conveyor belt. You ship quickly, and the quality stays the same. Mine is 5 md files. It works in Codex, Claude Code, and Cursor, because it does not depend on the model or the tool. Build your own.

The Startup Ideas Podcast (SIP) 🧃

17,326 次观看 • 27 天前

I just found a way to use Claude Code completely free. Claude Code is Anthropic’s terminal coding agent that usually needs a paid API key to run. But a viral GitHub project called Free Claude Code, now sitting at 37k stars, lets you skip the billing entirely. It works as a tiny proxy that sits between Claude Code and free model providers like NVIDIA NIM, OpenRouter, DeepSeek, and Gemini. Every request Claude Code would send to Anthropic gets quietly rerouted to a free model on the other side. The interface stays the same. What’s actually thinking behind it changes. Setup takes a couple of quick commands and a free API key from NVIDIA NIM or OpenRouter. Paste it into the local dashboard, pick a model, and you’re building. The catch is you’re not really using Claude anymore. But when the code ships, does the model badge matter? -- I have shared the Github Link in my free Whatsapp Community ↓

I just found a way to use Claude Code completely free. Claude Code is Anthropic’s terminal coding agent that usually needs a paid API key to run. But a viral GitHub project called Free Claude Code, now sitting at 37k stars, lets you skip the billing entirely. It works as a tiny proxy that sits between Claude Code and free model providers like NVIDIA NIM, OpenRouter, DeepSeek, and Gemini. Every request Claude Code would send to Anthropic gets quietly rerouted to a free model on the other side. The interface stays the same. What’s actually thinking behind it changes. Setup takes a couple of quick commands and a free API key from NVIDIA NIM or OpenRouter. Paste it into the local dashboard, pick a model, and you’re building. The catch is you’re not really using Claude anymore. But when the code ships, does the model badge matter? -- I have shared the Github Link in my free Whatsapp Community ↓

Vaibhav Sisinty

37,255 次观看 • 3 个月前

One guy built a wedding camera app in a month and it now makes him over $1,000,000 a year. No team, no investors, no marketing budget. 100,000 downloads in the first month. Zero dollars on ads. He did not bolt marketing onto the product. He made using the product the marketing. You cannot use the app alone. The host has to pull every guest into it. One wedding is not one user. It is 200 people scanning the same code in one evening. The guest liked it at someone else's wedding. A month later he throws his own event and brings his own crowd. The loop spins for free. It does not look like an ad. To the guest it is a gift. So they install it gladly. $2 to $50 subscriptions. 5% pay. That is $100,000 a month. He did not win on budget. He sewed the growth into the product itself. Could you build the loop, or is it just luck?

One guy built a wedding camera app in a month and it now makes him over $1,000,000 a year. No team, no investors, no marketing budget. 100,000 downloads in the first month. Zero dollars on ads. He did not bolt marketing onto the product. He made using the product the marketing. You cannot use the app alone. The host has to pull every guest into it. One wedding is not one user. It is 200 people scanning the same code in one evening. The guest liked it at someone else's wedding. A month later he throws his own event and brings his own crowd. The loop spins for free. It does not look like an ad. To the guest it is a gift. So they install it gladly. $2 to $50 subscriptions. 5% pay. That is $100,000 a month. He did not win on budget. He sewed the growth into the product itself. Could you build the loop, or is it just luck?

Marlow

513,913 次观看 • 3 个月前

introducing matrix. the ultimate multi-agent runtime that turns your product into actual revenue and automates 99% of what it takes to run a company. probably the most different, most future-feeling agent product you've ever seen. the harness, the interface, everything is rebuilt from scratch. think of it as the complement to codex and claude code. they write the code. matrix does literally everything else you actually need done. plug in your codex subscription and run it for free, or byok. fully free either way. this video was edited by matrix and voiced by an agent. more real cases coming soon. matrix is in beta preview right now. full launch next week. retweet + comment and we'll send invite codes to the first 200.

introducing matrix. the ultimate multi-agent runtime that turns your product into actual revenue and automates 99% of what it takes to run a company. probably the most different, most future-feeling agent product you've ever seen. the harness, the interface, everything is rebuilt from scratch. think of it as the complement to codex and claude code. they write the code. matrix does literally everything else you actually need done. plug in your codex subscription and run it for free, or byok. fully free either way. this video was edited by matrix and voiced by an agent. more real cases coming soon. matrix is in beta preview right now. full launch next week. retweet + comment and we'll send invite codes to the first 200.

Derek Nee

15,361 次观看 • 3 个月前

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.

cvxv666

104,237 次观看 • 3 个月前

🔥 INSANE: Free Kimi K2.6 might be the best open-source AI coder right now. It runs on NVIDIA’s own servers with a free API endpoint. No subscription. No credit card. No complicated setup. And because it’s OpenAI-compatible, you can plug it into tools like Claude Code, Roo, and Cline fast. This is one AI coding model I’d actually test ASAP.

🔥 INSANE: Free Kimi K2.6 might be the best open-source AI coder right now. It runs on NVIDIA’s own servers with a free API endpoint. No subscription. No credit card. No complicated setup. And because it’s OpenAI-compatible, you can plug it into tools like Claude Code, Roo, and Cline fast. This is one AI coding model I’d actually test ASAP.

Julian Goldie SEO

31,458 次观看 • 5 个月前

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

HERMES AGENT VS OPENCLAW. a local ai onboarding flow test. a 3.9gb bonsai served on localhost, both agents upstream and latest, i point each one at the endpoint and watch which one even finds it. > hermes opens a provider menu, thirty plus options, local servers sitting right there next to the cloud ones, i hand it 127.0.0.1:8899, it verifies the endpoint, one model visible, auto-detects the model by name, bonsai-27b-q1_0, reads the context length straight off the server, saves it, and starts reasoning and firing real tool calls on my local model. no key. no friction. > openclaw has no menu. it goes hunting for a codex login, an openai key, finds none because there are none, prints no models available three times, defaults to openai/gpt-5.5, a cloud model it cannot reach, and dead ends on run auth login --provider openai. read that back. it asked me for an openai key. to run a model already running on my own machine. it never once looked at localhost. to be fair, openclaw can run local if you hand wire endpoint yourself. what it will not do is find the model already sitting on your box. hermes agent found it in one line. now the part i owe you. the auto-detect that just won, the model name read, the .gguf strip, the context length probe off the server, that is my code, it is in hermes agent main right now, authorship preserved, #2051 and #4218. the wizard fix that stops an agent from silently routing you to someone else's creds, the exact trap openclaw still falls into, mine too, #4210. i contribute to hermes agent, i told you that going in. one agent is built to talk to whatever you are running, the other is built to talk to a cloud api, so one found my model and ran it and the other asked me to log into openai. onboarding flow of both, mapped, below.

Sudo su

23,816 次观看 • 2 个月前

OpenAI's new Agents API is a hosted Codex runtime that can connect to sandboxes like E2B. OpenAI manages the model, harness, and agent sessions, while code executes on an isolated E2B machine with its own filesystem and preinstalled tools. We built an agent workbench where each chat runs on its own machine. It starts from a custom template, auto-pauses between turns, forks to try another approach from the same starting point, and can even act on videos inside the sandbox. Thanks Ondrej for the workbench demo! Try it: e2b sbx create openai-agents-api-python-sdk Build on top of the workbench: Docs:

OpenAI's new Agents API is a hosted Codex runtime that can connect to sandboxes like E2B. OpenAI manages the model, harness, and agent sessions, while code executes on an isolated E2B machine with its own filesystem and preinstalled tools. We built an agent workbench where each chat runs on its own machine. It starts from a custom template, auto-pauses between turns, forks to try another approach from the same starting point, and can even act on videos inside the sandbox. Thanks Ondrej for the workbench demo! Try it: e2b sbx create openai-agents-api-python-sdk Build on top of the workbench: Docs:

Vasek Mlejnsky

23,210 次观看 • 1 个月前

STARLINK CHARGES $120/MO TO GET ONLINE OFF-GRID. HE DOES IT FOR $0 - A $30 PANEL ANTENNA ON A MAST REACHING A USED GPU 80KM OUT. RUNS OPUS-5 AND GPT-5.6 LOCALLY he clamped a directional panel and a tp-link adapter to a telescoping mast and ran it up past the roofline, whole rig cost him $30 in used marketplace parts the higher it goes the farther it hears -> it locks a node 80km out -> the prompt tunnels down to the used gpu in his closet -> a local kimi k3 answers before the page finishes loading one node it kept pulling in stayed online through last month's grid blackout, turned out to be a repeater on a water tower a county away running off a small solar pack height is the whole cheat, lift a directional antenna over the treeline and line-of-sight does the rest, every node it reaches is just another road home to his own gpu $200 opus-5 and $200 gpt-5.6 pro stopped hitting his card the week that mast went up, a $30 antenna and a used gpu do what anthropic and openai charged $400 a month for full breakdown of the 5-device stack that zeroes your ai bill in the article below

STARLINK CHARGES $120/MO TO GET ONLINE OFF-GRID. HE DOES IT FOR $0 - A $30 PANEL ANTENNA ON A MAST REACHING A USED GPU 80KM OUT. RUNS OPUS-5 AND GPT-5.6 LOCALLY he clamped a directional panel and a tp-link adapter to a telescoping mast and ran it up past the roofline, whole rig cost him $30 in used marketplace parts the higher it goes the farther it hears -> it locks a node 80km out -> the prompt tunnels down to the used gpu in his closet -> a local kimi k3 answers before the page finishes loading one node it kept pulling in stayed online through last month's grid blackout, turned out to be a repeater on a water tower a county away running off a small solar pack height is the whole cheat, lift a directional antenna over the treeline and line-of-sight does the rest, every node it reaches is just another road home to his own gpu $200 opus-5 and $200 gpt-5.6 pro stopped hitting his card the week that mast went up, a $30 antenna and a used gpu do what anthropic and openai charged $400 a month for full breakdown of the 5-device stack that zeroes your ai bill in the article below

starmex

144,506 次观看 • 2 个月前

this is f**king insane. the open-source 100% FREE Perplexity replacement that runs entirely on your own hardware. the GitHub repo is at 36.7K stars, MIT license it lets you: → search the web, discussions, or academic papers → three search modes, including Quality mode for deep research → local models through Ollama, or OpenAI / Claude / Grok if you want → upload PDFs and ask questions about them → restrict a search to specific domains set GPT-6 Astra as the provider, switch to Quality mode, and you have a deep research loop running on your own box. that combination is not on sale anywhere. Perplexity Pro is $20 a month, this is one docker command repo below ↓

this is f**king insane. the open-source 100% FREE Perplexity replacement that runs entirely on your own hardware. the GitHub repo is at 36.7K stars, MIT license it lets you: → search the web, discussions, or academic papers → three search modes, including Quality mode for deep research → local models through Ollama, or OpenAI / Claude / Grok if you want → upload PDFs and ask questions about them → restrict a search to specific domains set GPT-6 Astra as the provider, switch to Quality mode, and you have a deep research loop running on your own box. that combination is not on sale anywhere. Perplexity Pro is $20 a month, this is one docker command repo below ↓

darkzodchi

41,733 次观看 • 28 天前

TokenRouter is giving away 50 million free Kimi K3 tokens with no trial period and no credit card, accessible via any OpenAI-compatible tool in 2 minutes. → Sign up on TokenRouter and create a new API key → Add it to any OpenAI-compatible tool with the URL → Set the model to moonshotai/kimi-k3-free and you're running

TokenRouter is giving away 50 million free Kimi K3 tokens with no trial period and no credit card, accessible via any OpenAI-compatible tool in 2 minutes. → Sign up on TokenRouter and create a new API key → Add it to any OpenAI-compatible tool with the URL → Set the model to moonshotai/kimi-k3-free and you're running

0xMarioNawfal

51,457 次观看 • 1 个月前

Zhipu AI just dropped a $3 model that beats GPT-5.4. It is called GLM 5.1. It just took 3rd place on the Code Arena charts. Claude Max costs up to 200 dollars a month. GLM 5.1 gives you 94 percent of Claude's power for just 3 dollars. But here is the crazy part. It works completely alone for 8 hours straight. You give it a huge task in the morning. You walk away and do your actual job. At the end of the day, your code is done, tested, and fixed. It is not a simple chatbot. It is an AI worker that builds landing pages and email flows for you. Stop doing the busy work yourself. Get the exact steps to build your own AI systems in my free group. Link in my bio.

Zhipu AI just dropped a $3 model that beats GPT-5.4. It is called GLM 5.1. It just took 3rd place on the Code Arena charts. Claude Max costs up to 200 dollars a month. GLM 5.1 gives you 94 percent of Claude's power for just 3 dollars. But here is the crazy part. It works completely alone for 8 hours straight. You give it a huge task in the morning. You walk away and do your actual job. At the end of the day, your code is done, tested, and fixed. It is not a simple chatbot. It is an AI worker that builds landing pages and email flows for you. Stop doing the busy work yourself. Get the exact steps to build your own AI systems in my free group. Link in my bio.

Julian Goldie SEO

12,606 次观看 • 6 个月前

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

Nav Toor

395,329 次观看 • 6 个月前

OpenAI. said. this. publicly. their own engineers just proved one idea on themselves, in writing: stop telling AI what's wrong. hand it the whole broken thing and let it find out they gave GPT-6 Astra a slow test build of their own coding tool. one cause found, a memory bottleneck, one allocator swapped, every turn 25× faster this is GPT-6 Astra, the layer that fixes the cause instead of the symptom, $0 on top of the ChatGPT plan you already pay for: - open ChatGPT or Codex, pick GPT-6 Astra, hand it the whole thing: the folder, the file that takes a minute to open. it works in apps with no API and reads your screen - type one sentence: find the one cause, prove it, fix it, do not patch around it - leave the room. it asks without stopping, keeps working on what does not need your answer, waits only where the answer changes the outcome - keep it in one Codex session with the experimental notes setting on: it remembers across context windows why an earlier fix failed - expect the first pass to land: handed a program with no source, it worked out how it runs 88% of the time first try, 99.2% within four you never find out what was broken. it gets fixed anyway the catch is on the same page. roughly 30% more memory for that speed, and the safety checks can pause a long job until you approve the next step describing the problem was the expensive half of fixing it. that half just ended every hour you spend explaining the symptom to a chat window, someone else has handed theirs over whole bookmark this before the next thing breaks, the playbook for handing a whole job to an AI worker is in the piece below ↓

OpenAI. said. this. publicly. their own engineers just proved one idea on themselves, in writing: stop telling AI what's wrong. hand it the whole broken thing and let it find out they gave GPT-6 Astra a slow test build of their own coding tool. one cause found, a memory bottleneck, one allocator swapped, every turn 25× faster this is GPT-6 Astra, the layer that fixes the cause instead of the symptom, $0 on top of the ChatGPT plan you already pay for: - open ChatGPT or Codex, pick GPT-6 Astra, hand it the whole thing: the folder, the file that takes a minute to open. it works in apps with no API and reads your screen - type one sentence: find the one cause, prove it, fix it, do not patch around it - leave the room. it asks without stopping, keeps working on what does not need your answer, waits only where the answer changes the outcome - keep it in one Codex session with the experimental notes setting on: it remembers across context windows why an earlier fix failed - expect the first pass to land: handed a program with no source, it worked out how it runs 88% of the time first try, 99.2% within four you never find out what was broken. it gets fixed anyway the catch is on the same page. roughly 30% more memory for that speed, and the safety checks can pause a long job until you approve the next step describing the problem was the expensive half of fixing it. that half just ended every hour you spend explaining the symptom to a chat window, someone else has handed theirs over whole bookmark this before the next thing breaks, the playbook for handing a whole job to an AI worker is in the piece below ↓

Argona

109,831 次观看 • 1 个月前

Smart money used to mean knowing the right people, being in the right rooms. Now it means having the right agents. For years, building one took five tools, four logins, and a painful month of work. Today, it takes just a single prompt. BNB Agent Studio is live on BNB Smart Chain. Open Cursor or Claude Code, describe the agent you want, and it ships to the chain with its own onchain identity, its own wallet, and a way to pay its own bills. The whole thing runs on Amazon Web Services's Bedrock AgentCore, so your agent stays online long after you've closed your laptop. This is the start of the Smart Money Era. Capital that works for you instead of waiting for you to move it. Agents that monitor markets while you sleep, rebalance positions you'd never get to in time, and hunt yield without checking dashboards. Try BNB Agent Studio for free for a limited time with GitHub login only, with no AWS account or credit card needed. Read the full breakdown in our blog 👇

Smart money used to mean knowing the right people, being in the right rooms. Now it means having the right agents. For years, building one took five tools, four logins, and a painful month of work. Today, it takes just a single prompt. BNB Agent Studio is live on BNB Smart Chain. Open Cursor or Claude Code, describe the agent you want, and it ships to the chain with its own onchain identity, its own wallet, and a way to pay its own bills. The whole thing runs on Amazon Web Services's Bedrock AgentCore, so your agent stays online long after you've closed your laptop. This is the start of the Smart Money Era. Capital that works for you instead of waiting for you to move it. Agents that monitor markets while you sleep, rebalance positions you'd never get to in time, and hunt yield without checking dashboards. Try BNB Agent Studio for free for a limited time with GitHub login only, with no AWS account or credit card needed. Read the full breakdown in our blog 👇

BNB Chain

285,486 次观看 • 3 个月前

AgentRouter is handing out $125 in FREE API credits for OPUS 4.8 > No card. > GitHub sign-in. > One API key for Opus 4.8 / Opus 4.7 / Sonnet 4.6 / GLM 5.1 The useful part is not “another model gateway.” It is that you can point coding tools and agents at one OpenAI-compatible base URL instead of juggling separate keys for Claude and GLM, and others. What you get: • $125 signup balance • one API key • OpenAI-compatible endpoints • chat, responses, messages, embeddings, images, audio, rerank endpoints listed • claimed support for Cursor, Claude Code, Hermes, and other agent tools The flow is simple: 1. go to AgentRouter (link in comment) 2. sign in or create an account 3. generate an API key in the console 4. copy the base URL 5. paste it into Cursor / Claude Code / your agent runtime 6. run a small test before moving anything serious Caveat: AgentRouter’s own site currently has a notice saying Claude-series service was recently hit by stability issues and large-scale Claude access was suspended. So don’t treat this as “guaranteed free Claude forever.” Treat it as $125 of free routing credits to test which models are live, how the latency feels, and whether the gateway is stable enough for your workflow. Still a very solid save if you build with agents. Most people burn paid API credits just testing configs. This gives you room to test first, then decide if it belongs in your stack.

AgentRouter is handing out $125 in FREE API credits for OPUS 4.8 > No card. > GitHub sign-in. > One API key for Opus 4.8 / Opus 4.7 / Sonnet 4.6 / GLM 5.1 The useful part is not “another model gateway.” It is that you can point coding tools and agents at one OpenAI-compatible base URL instead of juggling separate keys for Claude and GLM, and others. What you get: • $125 signup balance • one API key • OpenAI-compatible endpoints • chat, responses, messages, embeddings, images, audio, rerank endpoints listed • claimed support for Cursor, Claude Code, Hermes, and other agent tools The flow is simple: 1. go to AgentRouter (link in comment) 2. sign in or create an account 3. generate an API key in the console 4. copy the base URL 5. paste it into Cursor / Claude Code / your agent runtime 6. run a small test before moving anything serious Caveat: AgentRouter’s own site currently has a notice saying Claude-series service was recently hit by stability issues and large-scale Claude access was suspended. So don’t treat this as “guaranteed free Claude forever.” Treat it as $125 of free routing credits to test which models are live, how the latency feels, and whether the gateway is stable enough for your workflow. Still a very solid save if you build with agents. Most people burn paid API credits just testing configs. This gives you room to test first, then decide if it belongs in your stack.

kocer

25,316 次观看 • 4 个月前