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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...

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starmex

9,768 subscribers

111,684 просмотров • 1 месяц назад •via X (Twitter)

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Комментарии: 33

Фото профиля Avid
Avid1 месяц назад

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

Фото профиля starmex
starmex1 месяц назад

article has the repo plus the setup steps fam

Фото профиля DipXHunter
DipXHunter1 месяц назад

@grok is it a bullshit?

Фото профиля Apollon Foivos Bakis
Apollon Foivos Bakis1 месяц назад

Open source makes agent economics fascinating.

Фото профиля Midblade ⚔️
Midblade ⚔️1 месяц назад

that video is made up bullshit

Фото профиля Gipp 🦅
Gipp 🦅1 месяц назад

did you test the kimi backend yet?

Фото профиля starmex
starmex1 месяц назад

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

Фото профиля BluntRiser
BluntRiser1 месяц назад

Unlock singularity and make usage limits unlimited !

Фото профиля Joshua Winthrop
Joshua Winthrop1 месяц назад

@grok is this true?

Фото профиля Emma Rodriguez
Emma Rodriguez1 месяц назад

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

Фото профиля Benjy Wang
Benjy Wang1 месяц назад

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

Фото профиля Se state
Se state1 месяц назад

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

Фото профиля Adel Bucetta
Adel Bucetta1 месяц назад

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

Фото профиля kocer
kocer1 месяц назад

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

Фото профиля beamnxw ./
beamnxw ./1 месяц назад

open source just changed the pricing game

Фото профиля Alden
Alden1 месяц назад

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.

Фото профиля Some Oaths Never End 🇺🇸
Some Oaths Never End 🇺🇸1 месяц назад

@grok verify

Фото профиля dunik
dunik1 месяц назад

wow, very nice dashboard, looks amazing

Фото профиля sovereign sense
sovereign sense1 месяц назад

🤔

Фото профиля Lyle de Groot
Lyle de Groot1 месяц назад

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

Фото профиля ByteCapital Labs
ByteCapital Labs1 месяц назад

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

Фото профиля Jimmy h. AV.
Jimmy h. AV.1 месяц назад

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

Фото профиля Knight Todd
Knight Todd1 месяц назад

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

Фото профиля Ares
Ares1 месяц назад

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

Фото профиля Dan
Dan1 месяц назад

Cool

Фото профиля Finer
Finer1 месяц назад

Crazy how fast AI tools are evolving

Фото профиля Donkey Unicorn
Donkey Unicorn1 месяц назад

@grok fact check please

Фото профиля kelvin
kelvin1 месяц назад

Thanks for sharing this Mann

Фото профиля leopardracer
leopardracer1 месяц назад

I saved this

Фото профиля Ashlynso J
Ashlynso J1 месяц назад

No he didnt. Shit the fuxk up You grifter

Фото профиля rewind
rewind1 месяц назад

bro turned the license into the product

Фото профиля Charlie.ask
Charlie.ask1 месяц назад

IPO investors beware

Фото профиля Bored AOC | Totally Fake BTCH
Bored AOC | Totally Fake BTCH1 месяц назад

@grok this tru?

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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.

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24,200 просмотров • 28 дней назад

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Sudo su

23,816 просмотров • 2 месяцев назад

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:
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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 просмотров • 1 месяц назад

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
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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 просмотров • 2 месяцев назад

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 ↓
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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 просмотров • 28 дней назад

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
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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 просмотров • 1 месяц назад

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.
8:07

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 просмотров • 6 месяцев назад

🚨 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.
1:49

🚨 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 просмотров • 6 месяцев назад

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 ↓
0:30

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 просмотров • 1 месяц назад

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 👇
0:55

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 просмотров • 3 месяцев назад

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.
0:22

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 просмотров • 4 месяцев назад