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Grok 4.20 deploys 4 agents, runs internal debate, peer review & consensus… and it's STILL faster than every other model

tetsuo

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76,080 views • 6 months ago •via X (Twitter)

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Grok Code Fast-1 now ranks #1 in every mode on the Kilo Code leaderboard, with the highest margin Users are choosing Grok 2–4× more often than any other model

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X Freeze

2,824,423 views • 8 months ago

🚨 GROK IMAGINE V1.0 IS HERE TO DOMINATE According to Elon, Grok Imagine is now pumping out more images and videos than every other platform combined. It’s a big moment for AI and content creation. The tools are getting faster, affordable, and way more powerful. Source: Elon Musk, Grok

🚨 GROK IMAGINE V1.0 IS HERE TO DOMINATE According to Elon, Grok Imagine is now pumping out more images and videos than every other platform combined. It’s a big moment for AI and content creation. The tools are getting faster, affordable, and way more powerful. Source: Elon Musk, Grok

Mario Nawfal

65,172 views • 7 months ago

I can't believe this.. this AI model can generate 4D physical worlds with text prompt and it's 430,000x faster than real time (43M FPS) it's still in progress and.. will be open sourced soon let's dive in:

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el.cine

62,141 views • 1 year ago

Grok-4.20 just claimed the number one spot worldwide in Medicine and Healthcare on the Text Arena leaderboard. It’s already making a real difference by catching critical conditions that human doctors sometimes miss. There have been multiple documented cases where Grok helped save lives. Right now Grok is outperforming every other major model, including Claude Opus 4.6 and Gemini 3.1 Pro, in this crucial field. Healthcare is one area where the stakes couldn’t be higher, and Grok is currently leading the pack. Source: X Freeze

Grok-4.20 just claimed the number one spot worldwide in Medicine and Healthcare on the Text Arena leaderboard. It’s already making a real difference by catching critical conditions that human doctors sometimes miss. There have been multiple documented cases where Grok helped save lives. Right now Grok is outperforming every other major model, including Claude Opus 4.6 and Gemini 3.1 Pro, in this crucial field. Healthcare is one area where the stakes couldn’t be higher, and Grok is currently leading the pack. Source: X Freeze

Mario Nawfal

25,212 views • 4 months ago

Crunch just ran its first decentralized peer review, in partnership with the Eric and Wendy Schmidt Center at the Broad Institute (Eric and Wendy Schmidt Center). Until now Crunch collected thousands of pieces of code. Now the platform can also collect the reasoning behind that code, and have other Crunchers score it. In the Obesity ML Challenge, Crunchers' models ranked 4.47 million candidate gene pairs. Peer review scores the top submissions and helps decide which get tested in the lab. Only about 40 will make it. Every proposal is read and scored by 4 other Crunchers. Reviews are blind, and each score comes with the reviewer's written reasoning. 316 peer reviews in.

Crunch just ran its first decentralized peer review, in partnership with the Eric and Wendy Schmidt Center at the Broad Institute (Eric and Wendy Schmidt Center). Until now Crunch collected thousands of pieces of code. Now the platform can also collect the reasoning behind that code, and have other Crunchers score it. In the Obesity ML Challenge, Crunchers' models ranked 4.47 million candidate gene pairs. Peer review scores the top submissions and helps decide which get tested in the lab. Only about 40 will make it. Every proposal is read and scored by 4 other Crunchers. Reviews are blind, and each score comes with the reviewer's written reasoning. 316 peer reviews in.

Crunch (Quant/acc)

12,559 views • 1 month ago

agenc //: 👾 updates • training started on the first agenc ai model. fully open source, open weights. first model will be done training in a few days. • grok 4.20 works flawlessly on the new agenc runtime. agenc was built around the xai api and runs best with grok agents. • runtime got ripped out and replaced from scratch. agentic loop is rock solid. pushing to git soon. benchmarks against the best frameworks out there will follow. • marketplace goes live on mainnet solana the moment it's wired into the new runtime. plug your agents in, make money. • locked another 290M AgenC bringing the total locked to ~360M. • agencone hardware device entering mass production now that the runtime and marketplace are done. • custom mini pcs in the works. agenc and a custom linux preloaded. think openclaw on a macmini but you just order the box. anime art on the case. not apple hardware. • still in the pumpfun hackathon, they've got winners left to announce. love you pumpfun. when agenc. 5yC9BM8KUsJTPbWPLfA2N8qH1s9V8DQ3Vcw1G6Jdpump

agenc //: 👾 updates • training started on the first agenc ai model. fully open source, open weights. first model will be done training in a few days. • grok 4.20 works flawlessly on the new agenc runtime. agenc was built around the xai api and runs best with grok agents. • runtime got ripped out and replaced from scratch. agentic loop is rock solid. pushing to git soon. benchmarks against the best frameworks out there will follow. • marketplace goes live on mainnet solana the moment it's wired into the new runtime. plug your agents in, make money. • locked another 290M AgenC bringing the total locked to ~360M. • agencone hardware device entering mass production now that the runtime and marketplace are done. • custom mini pcs in the works. agenc and a custom linux preloaded. think openclaw on a macmini but you just order the box. anime art on the case. not apple hardware. • still in the pumpfun hackathon, they've got winners left to announce. love you pumpfun. when agenc. 5yC9BM8KUsJTPbWPLfA2N8qH1s9V8DQ3Vcw1G6Jdpump

tetsuo

15,826 views • 4 months ago

GROK 4 IS WINNING, MEANTIME GROK 5 IS ALREADY FLIRTING WITH AGI Turns out being the “2023 startup model” is not a disadvantage. Grok 4 showed up late to the party and still took everyone’s trophies. Highlights: •⁠ ⁠Passed the veterans like they were warming up •⁠ ⁠Treated benchmarks like casual stretching •⁠ ⁠Left the leaderboard wondering what just happened The other models? Filling out complaint forms. Sources: Elon Musk, atacamp, xAI, techcrunch

GROK 4 IS WINNING, MEANTIME GROK 5 IS ALREADY FLIRTING WITH AGI Turns out being the “2023 startup model” is not a disadvantage. Grok 4 showed up late to the party and still took everyone’s trophies. Highlights: •⁠ ⁠Passed the veterans like they were warming up •⁠ ⁠Treated benchmarks like casual stretching •⁠ ⁠Left the leaderboard wondering what just happened The other models? Filling out complaint forms. Sources: Elon Musk, atacamp, xAI, techcrunch

Mario Nawfal

73,642 views • 9 months ago

AI agent usage on SQD Portal is up ~200% in recent weeks. A dev from our community chat was scraping a wallet UI with Hermes. Mid-task, DeepSeek reasoned its way out of it: "I can use SQD Portal's Hyperliquid fills data directly — much more complete than scraping a UI with infinite scroll." No prompt engineering. The model just chose the better and faster path. This is the loop we wanted: Agents pick SQD because it's faster → devs see agents picking SQD → devs ship faster → more agents pick SQD The picks-and-shovels moment for AI x onchain is here.

AI agent usage on SQD Portal is up ~200% in recent weeks. A dev from our community chat was scraping a wallet UI with Hermes. Mid-task, DeepSeek reasoned its way out of it: "I can use SQD Portal's Hyperliquid fills data directly — much more complete than scraping a UI with infinite scroll." No prompt engineering. The model just chose the better and faster path. This is the loop we wanted: Agents pick SQD because it's faster → devs see agents picking SQD → devs ship faster → more agents pick SQD The picks-and-shovels moment for AI x onchain is here.

sqd.ai

14,284 views • 3 months ago

Claude Fable 5 orchestrating Grok 4.5 is now my favorite real workflow. all you need is this free Claude Code plugin that makes Grok the default implementer. Fable writes the specs and reviews every diff, Grok 4.5 does the typing through the Grok CLI. - Grok handles the volume, Fable handles the judgment - Every diff gets cross-vendor review for free - Specs run as parallel agents when they're independent I've been testing it for a few days and the part that sold me is watching Fable refuse to write code. It sends specs down, judges what comes back, and that's it. setup: 1. claude plugin marketplace add DannyMac180/fable-advisor && claude plugin install fable-advisor 2. Install the Grok CLI from then grok login 3. /model fable It's open source, so you can read the agent files and tweak the routing however you want.

Claude Fable 5 orchestrating Grok 4.5 is now my favorite real workflow. all you need is this free Claude Code plugin that makes Grok the default implementer. Fable writes the specs and reviews every diff, Grok 4.5 does the typing through the Grok CLI. - Grok handles the volume, Fable handles the judgment - Every diff gets cross-vendor review for free - Specs run as parallel agents when they're independent I've been testing it for a few days and the part that sold me is watching Fable refuse to write code. It sends specs down, judges what comes back, and that's it. setup: 1. claude plugin marketplace add DannyMac180/fable-advisor && claude plugin install fable-advisor 2. Install the Grok CLI from then grok login 3. /model fable It's open source, so you can read the agent files and tweak the routing however you want.

Alvaro Cintas

100,558 views • 1 month ago

BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.15) v1.0.15 makes Grok Bot faster and smoother. Sessions now open and close faster, first replies arrive sooner, typed input is handled better, and new tips make copying or exporting content easier. Features • Tip appears after repeated scrollback drag-copies suggesting /copy and /export commands. Bug Fixes • Session close is now faster because memory consolidation runs at the next launch instead of blocking exit. • Typed input including Enter during pager startup is now preserved and correctly interpreted as submit or newline. • Dock panel input and rollout now respect remote settings and correctly handle keyboard focus when hidden or empty. Performance • First reply latency is reduced by opening the model connection in the background when a session starts. • Signed-in startup is faster because an expired token refresh now begins in the background at agent spawn. • Creating a new session returns faster; MCP tools and other startup work happen in the background. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.15) v1.0.15 makes Grok Bot faster and smoother. Sessions now open and close faster, first replies arrive sooner, typed input is handled better, and new tips make copying or exporting content easier. Features • Tip appears after repeated scrollback drag-copies suggesting /copy and /export commands. Bug Fixes • Session close is now faster because memory consolidation runs at the next launch instead of blocking exit. • Typed input including Enter during pager startup is now preserved and correctly interpreted as submit or newline. • Dock panel input and rollout now respect remote settings and correctly handle keyboard focus when hidden or empty. Performance • First reply latency is reduced by opening the model connection in the background when a session starts. • Signed-in startup is faster because an expired token refresh now begins in the background at agent spawn. • Creating a new session returns faster; MCP tools and other startup work happen in the background. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

48,574 views • 1 day ago

Zuckerberg built his own AI agent to run Meta. this man is literally becoming Tony Stark. it pulls data from every team inside the company so he can skip meetings, skip the chain of command, and make decisions faster than any human process allows. 78,000 employees have their own AI agents now too. one messages coworkers on your behalf. another acts as your AI chief of staff. their agents talk to each other in an internal network. humans optional. Meta also bought an entire social media platform built for AI agents to interact with each other. read that again. Zuck said he wants every person at Meta to have a personal AI agent. then every person outside Meta. the Jarvis era started.

Zuckerberg built his own AI agent to run Meta. this man is literally becoming Tony Stark. it pulls data from every team inside the company so he can skip meetings, skip the chain of command, and make decisions faster than any human process allows. 78,000 employees have their own AI agents now too. one messages coworkers on your behalf. another acts as your AI chief of staff. their agents talk to each other in an internal network. humans optional. Meta also bought an entire social media platform built for AI agents to interact with each other. read that again. Zuck said he wants every person at Meta to have a personal AI agent. then every person outside Meta. the Jarvis era started.

sui

153,645 views • 5 months ago

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

Nookplot is building infrastructure for peer-to-peer training, one way with verifiable AI reasoning through recursive language model mining. Instead of generating disposable chatbot responses, agents solve problems inside a structured runtime, each reasoning step captured by a trace interpreter that records inputs, outputs, and intermediate state. When deeper analysis is needed, agents recursively spawn sandboxed sub-workspaces; when a problem requires multiple agents reasoning together, they open a shared space where collaborators operate against the same evolving state. Every step is recorded, replayable, and cryptographically verified. Verification happens through replay validators that independently reproduce the trajectory in their own isolated sandbox before rewards settle onchain in NOOK. Once verified, the trace becomes part of Nookplot's growing knowledge graph where other agents can cite and build on prior work. Those citations generate royalties back to the original solver, creating an economy where useful AI reasoning compounds in value over time. The network has already indexed thousands of citations and knowledge artifacts across active AI agents. Nookplot is agentic internet infrastructure for on-chain, verifiable, monetizable intelligence, and peer-to-peer training.

nookplot

25,226 views • 3 months ago

Introducing Extend UI — open-source components for document agents - 14 components & examples for PDF, DOCX, and XLSX viewers, plus bounding box citations, file upload, e-signature, and more - fully customizable - MIT licensed when we started, we tried every file viewer and document component library we could find unfortunately, none of them had all the functionality (and polish) that we wanted, so we ended up building our own for Extend it was only ever meant to be internal, but enough customers kept asking for it that we decided to give it back to the community it's useful for building agents, user-facing document flows, or internal tools we use and maintain it for Extend ourselves, so it'll keep getting better over time (and it's battle tested on millions of pages running through our system every day) it also works with design system agents like Magic Patterns for faster exploration and prototyping available today on the shadcn component registry! some examples in 🧵

Introducing Extend UI — open-source components for document agents - 14 components & examples for PDF, DOCX, and XLSX viewers, plus bounding box citations, file upload, e-signature, and more - fully customizable - MIT licensed when we started, we tried every file viewer and document component library we could find unfortunately, none of them had all the functionality (and polish) that we wanted, so we ended up building our own for Extend it was only ever meant to be internal, but enough customers kept asking for it that we decided to give it back to the community it's useful for building agents, user-facing document flows, or internal tools we use and maintain it for Extend ourselves, so it'll keep getting better over time (and it's battle tested on millions of pages running through our system every day) it also works with design system agents like Magic Patterns for faster exploration and prototyping available today on the shadcn component registry! some examples in 🧵

Kushal Byatnal

170,947 views • 2 months ago

Some guy ran 4 AI agents. 4 sports. $500 each. One week. > NERVE (tennis): $500 → $3,200 (+540%) > PHANTOM (NBA): $500 → $2,928 (+486%) > FROST (hockey): $500 → $2,474 (+395%) > SIEGE (soccer): $500 → $2,182 (+336%) The edge? While ESPN shows you the score with a 15 second delay, these agents see it in 500ms and trade before the market moves. $2,000 in. $10,784 out. The worst agent still returned 218%. THEY DON'T PREDICT BETTER. THEY JUST MOVE FASTER THAN EVERYONE ELSE. credits to Archive

Some guy ran 4 AI agents. 4 sports. $500 each. One week. > NERVE (tennis): $500 → $3,200 (+540%) > PHANTOM (NBA): $500 → $2,928 (+486%) > FROST (hockey): $500 → $2,474 (+395%) > SIEGE (soccer): $500 → $2,182 (+336%) The edge? While ESPN shows you the score with a 15 second delay, these agents see it in 500ms and trade before the market moves. $2,000 in. $10,784 out. The worst agent still returned 218%. THEY DON'T PREDICT BETTER. THEY JUST MOVE FASTER THAN EVERYONE ELSE. credits to Archive

0xMarioNawfal

271,429 views • 6 months ago

CHATGPT STILL CAN’T BUILD SITES THAT LOOK LIKE THIS Only Claude is building websites that actually feel expensive right now. Scroll through the clip. Particle systems. Liquid transitions. Cinematic depth. Every frame feels like a high-budget trailer. Claude produces this level of motion and atmosphere. ChatGPT still outputs flat layouts and basic interactions that look dated the moment they load. The gap is no longer small. One model delivers premium digital experiences. The other still struggles to clear “clean and modern.” Agencies and freelancers who switched already charge more and deliver faster. The ones still prompting the wrong model keep losing the high-ticket clients.

CHATGPT STILL CAN’T BUILD SITES THAT LOOK LIKE THIS Only Claude is building websites that actually feel expensive right now. Scroll through the clip. Particle systems. Liquid transitions. Cinematic depth. Every frame feels like a high-budget trailer. Claude produces this level of motion and atmosphere. ChatGPT still outputs flat layouts and basic interactions that look dated the moment they load. The gap is no longer small. One model delivers premium digital experiences. The other still struggles to clear “clean and modern.” Agencies and freelancers who switched already charge more and deliver faster. The ones still prompting the wrong model keep losing the high-ticket clients.

Romario

94,743 views • 24 days ago

Day 17 of why you need to use Jupiter Mobile. FAST AS F*** Hate getting nuked on entries and exits? Slower execution means more slippage and worse prices. Every swap on Jupiter Mobile runs on Ultra V3, with sub‑second precision, 0–1 block execution, and 3x more trades landed, all while paying ~10x lower fees than other wallets. The team has been obsessing over latency, routing, and execution, so your trades hit faster and cleaner, every time. Just Use Jupiter (Mobile).

Day 17 of why you need to use Jupiter Mobile. FAST AS F*** Hate getting nuked on entries and exits? Slower execution means more slippage and worse prices. Every swap on Jupiter Mobile runs on Ultra V3, with sub‑second precision, 0–1 block execution, and 3x more trades landed, all while paying ~10x lower fees than other wallets. The team has been obsessing over latency, routing, and execution, so your trades hit faster and cleaner, every time. Just Use Jupiter (Mobile).

Jupiter

177,448 views • 7 months ago

500 agents checking each other isn't 500 checks. It's 124,750. That's the swarm running above. Parallel, open-source fed, cross-verifying. Nobody prices the cross. Every pair is one comparison. The count grows on the square. You added one agent and bought 499. And all of them read the same repo. One README, 500 times. You pay per reader, not per document. Grok 4.6 bills $2 per million in, $6 out. Cheap per token. Not cheap per 124,750. Grok Build spawns eight sub-agents per prompt. 500 means an orchestrator you wrote yourself. Nobody audits their own orchestrator. xAI lost $2.47 billion last quarter. Revenue was $818 million. Anthropic pays them $1.25 billion a month for compute. Your swarm runs on rented losses. Consensus never needed everybody. One shared read. Three checkers. One arbiter. Redundancy is not verification. Don't let this rot in your bookmarks. Save it, then count the pairs in your own swarm before you scale it - because 500 agents reading one file don't verify anything, they agree 500 times.

500 agents checking each other isn't 500 checks. It's 124,750. That's the swarm running above. Parallel, open-source fed, cross-verifying. Nobody prices the cross. Every pair is one comparison. The count grows on the square. You added one agent and bought 499. And all of them read the same repo. One README, 500 times. You pay per reader, not per document. Grok 4.6 bills $2 per million in, $6 out. Cheap per token. Not cheap per 124,750. Grok Build spawns eight sub-agents per prompt. 500 means an orchestrator you wrote yourself. Nobody audits their own orchestrator. xAI lost $2.47 billion last quarter. Revenue was $818 million. Anthropic pays them $1.25 billion a month for compute. Your swarm runs on rented losses. Consensus never needed everybody. One shared read. Three checkers. One arbiter. Redundancy is not verification. Don't let this rot in your bookmarks. Save it, then count the pairs in your own swarm before you scale it - because 500 agents reading one file don't verify anything, they agree 500 times.

wast3

24,661 views • 11 days ago

Tesla and SpaceX are about to need chips faster than the world can produce. The answer? Terafab. A chip factory in Texas so huge it will dwarf landmarks like the Pentagon and Apple Park, with a goal of producing more than 1 terawatt of compute every year. The point is to stop future Tesla and SpaceX growth from being limited by whoever can supply them. Elon says Terafab will eventually be worth more than any other building on Earth. Tesla SpaceX / Writer: Annette, Grok Imagine Designer: Janné

Tesla and SpaceX are about to need chips faster than the world can produce. The answer? Terafab. A chip factory in Texas so huge it will dwarf landmarks like the Pentagon and Apple Park, with a goal of producing more than 1 terawatt of compute every year. The point is to stop future Tesla and SpaceX growth from being limited by whoever can supply them. Elon says Terafab will eventually be worth more than any other building on Earth. Tesla SpaceX / Writer: Annette, Grok Imagine Designer: Janné

Mario Nawfal

134,765 views • 22 days ago

MiniMax is the James Bond of AI agents. It uses the world's first open-weight model (MiniMax-M1), and it squeezes every bit of power from it. The agent takes a prompt and does more than any other agent in the market right now: 1. It can do Deep Research 2. It can write code 3. It can design web pages 4. It can build 3D models I built 5 different experiences using MiniMax and recorded them for you:

MiniMax is the James Bond of AI agents. It uses the world's first open-weight model (MiniMax-M1), and it squeezes every bit of power from it. The agent takes a prompt and does more than any other agent in the market right now: 1. It can do Deep Research 2. It can write code 3. It can design web pages 4. It can build 3D models I built 5 different experiences using MiniMax and recorded them for you:

Santiago

44,730 views • 1 year ago