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THIS IS EXACTLY WHY SIDE-BY-SIDE LLM TESTING IS SO VALUABLE RIGHT NOW AI/ML API just dropped a new benchmark comparing GPT Sol, Grok 4.5, and Muse Spark 1.1. They gave them a great test: build playable clones of Fruit Ninja, Angry Birds, and Crossy Road on the first try....

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Charly Wargnier

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28,013 views • 5 days ago •via X (Twitter)

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I said Grok 4.5 was a bigger deal than Fable Elon even liked my post but then GPT-5.6 Sol showed up So I gave 7 of this week's newest AI models their own computer and ran the same real tasks through Hermes Final ranking: 1. GPT-5.6 Sol: best overall 2. Grok 4.5: close second, fast and relentless 3. Muse Spark 1.1: the surprise of the week Benchmarks tell you what a model might do. Watching it control a computer shows you what it can actually do Full comparison ↓
43:31

I said Grok 4.5 was a bigger deal than Fable Elon even liked my post but then GPT-5.6 Sol showed up So I gave 7 of this week's newest AI models their own computer and ran the same real tasks through Hermes Final ranking: 1. GPT-5.6 Sol: best overall 2. Grok 4.5: close second, fast and relentless 3. Muse Spark 1.1: the surprise of the week Benchmarks tell you what a model might do. Watching it control a computer shows you what it can actually do Full comparison ↓

Nick Vasilescu

76,652 views • 6 days ago

⚡️ JUST IN: MUSK LAUNCHES GROK 4.5, CALLING IT "OPUS-CLASS" AI MODEL Musk just released Grok 4.5 on Grok Build, Cursor, and the SpaceXAI Console, calling it an "Opus-class" AI model. He says it is faster, more token-efficient and lower cost, with EU access expected by mid-July. Built on a 1.5 TRILLION parameter foundation model, it drops the same day as OpenAI's GPT-5.6. API pricing is $2 per million input tokens and $6 per million output tokens.
0:55

⚡️ JUST IN: MUSK LAUNCHES GROK 4.5, CALLING IT "OPUS-CLASS" AI MODEL Musk just released Grok 4.5 on Grok Build, Cursor, and the SpaceXAI Console, calling it an "Opus-class" AI model. He says it is faster, more token-efficient and lower cost, with EU access expected by mid-July. Built on a 1.5 TRILLION parameter foundation model, it drops the same day as OpenAI's GPT-5.6. API pricing is $2 per million input tokens and $6 per million output tokens.

Coin Bureau

50,488 views • 7 days ago

meta muse spark 1.1 vs gpt 5.6 sol vs fable 5 vs grok 4.5 meta recently dropped muse spark 1.1 – a multimodal reasoning model from meta superintelligence labs built for agentic tasks. key facts: • 1m token context with active self-management – the model compacts its own history and keeps only the steps needed for later work • trained to orchestrate multi-agent systems: as main agent it plans and delegates to parallel subagents, as subagent it sticks to its job and knows when to escalate back • computer use trained to pick between scripting and clicking – writes automation when it's faster, clicks when it's simpler, batches actions per step • first public api from meta: the meta model api is now in preview • benchmarks: sweeps the agent column – mcp atlas 88.1 (opus 4.8: 82.2), jobbench 54.7 (opus: 48.4), humanity's last exam 62.1 (1st). loses coding – deepswe 1.1 53.3 vs gpt 5.5's 67.0, swe bench pro 61.5 vs opus's 69.2 our test – 3 prompts, single-file html, three.js, fully procedural, no assets: 1. norwegian house cantilevered over a fjord in a snowstorm – transmissive glass wall, fully modelled interior 2. beijing siheyuan courtyard house in dawn fog – instanced roof tiles, dougong brackets, glowing paper windows 3. new mexico adobe pueblo in an approaching dust storm – deep window reveals, windward grit accumulation we ran the test on AI/ML API platform results: - cost #1 muse spark 1.1 – $0.20 #2 grok 4.5 – $0.51 #3 gpt 5.6 sol – $1.93 #4 fable 5 – ~$5.20 - output tokens #1 muse spark 1.1 – 41,868 #2 gpt 5.6 sol – 49,139 #3 grok 4.5 – 64,954 #4 fable 5 – 81,849 - lines of code #1 muse spark 1.1 – 1,799 #2 gpt 5.6 sol – 2,377 #3 fable 5 – 3,088 #4 grok 4.5 – 4,216 observations: • muse spark is the cheapest of the four by a wide margin – 2.5x under grok, ~26x under fable per run. output quality tracks the price • only 7.4% of its output tokens are reasoning (3,104 of 41,868) – the model barely thinks before writing. economic, not pedantic: it commits to the first plan and ships it • the low loc is not compression, it's omission – all three prompts demanded instancing, muse spark delivered it in one muse spark's code quality – reviewed by fable 5: upsides: 1. all three files run 2. the adobe grit effect is legit – shader injection via onbeforecompile, windward faces detect storm direction through a normal-dot-wind term and darken procedurally 3. the fjord glass is real meshphysicalmaterial with transmission and ior, not a transparent quad 4. the siheyuan properly instances barrel tiles, dougong blocks and courtyard pavers downsides: 1. in the fjord file the strafe vector is negated – press a, you move right; press d, you move left. exactly the key mix-up we kept hitting with this model 2. all three files ship the model's self-doubt as comments: "// actually yaw orientation: need correct" sits above a direction vector that gets computed, abandoned and recomputed – dead vectors allocated every frame, 60 times a second 3. the siheyuan registers two separate keydown listeners, one containing an empty if-block 4. snow "accumulation" on the norway roof is a sine wobble on a scale value, not accumulation 5. "instanced snow" became 3,500 plain points. zero dispose calls anywhere pattern: minimal reasoning, minimal code, minimal price. it nails the flashy requirements – shaders, transmissive glass – and quietly drops the boring ones: instancing, controls, cleanup. you get a demo that mostly runs and a control scheme you can't trust follow thehype. for 24/7 ai news, analysis and breakdowns
1:01

meta muse spark 1.1 vs gpt 5.6 sol vs fable 5 vs grok 4.5 meta recently dropped muse spark 1.1 – a multimodal reasoning model from meta superintelligence labs built for agentic tasks. key facts: • 1m token context with active self-management – the model compacts its own history and keeps only the steps needed for later work • trained to orchestrate multi-agent systems: as main agent it plans and delegates to parallel subagents, as subagent it sticks to its job and knows when to escalate back • computer use trained to pick between scripting and clicking – writes automation when it's faster, clicks when it's simpler, batches actions per step • first public api from meta: the meta model api is now in preview • benchmarks: sweeps the agent column – mcp atlas 88.1 (opus 4.8: 82.2), jobbench 54.7 (opus: 48.4), humanity's last exam 62.1 (1st). loses coding – deepswe 1.1 53.3 vs gpt 5.5's 67.0, swe bench pro 61.5 vs opus's 69.2 our test – 3 prompts, single-file html, three.js, fully procedural, no assets: 1. norwegian house cantilevered over a fjord in a snowstorm – transmissive glass wall, fully modelled interior 2. beijing siheyuan courtyard house in dawn fog – instanced roof tiles, dougong brackets, glowing paper windows 3. new mexico adobe pueblo in an approaching dust storm – deep window reveals, windward grit accumulation we ran the test on AI/ML API platform results: - cost #1 muse spark 1.1 – $0.20 #2 grok 4.5 – $0.51 #3 gpt 5.6 sol – $1.93 #4 fable 5 – ~$5.20 - output tokens #1 muse spark 1.1 – 41,868 #2 gpt 5.6 sol – 49,139 #3 grok 4.5 – 64,954 #4 fable 5 – 81,849 - lines of code #1 muse spark 1.1 – 1,799 #2 gpt 5.6 sol – 2,377 #3 fable 5 – 3,088 #4 grok 4.5 – 4,216 observations: • muse spark is the cheapest of the four by a wide margin – 2.5x under grok, ~26x under fable per run. output quality tracks the price • only 7.4% of its output tokens are reasoning (3,104 of 41,868) – the model barely thinks before writing. economic, not pedantic: it commits to the first plan and ships it • the low loc is not compression, it's omission – all three prompts demanded instancing, muse spark delivered it in one muse spark's code quality – reviewed by fable 5: upsides: 1. all three files run 2. the adobe grit effect is legit – shader injection via onbeforecompile, windward faces detect storm direction through a normal-dot-wind term and darken procedurally 3. the fjord glass is real meshphysicalmaterial with transmission and ior, not a transparent quad 4. the siheyuan properly instances barrel tiles, dougong blocks and courtyard pavers downsides: 1. in the fjord file the strafe vector is negated – press a, you move right; press d, you move left. exactly the key mix-up we kept hitting with this model 2. all three files ship the model's self-doubt as comments: "// actually yaw orientation: need correct" sits above a direction vector that gets computed, abandoned and recomputed – dead vectors allocated every frame, 60 times a second 3. the siheyuan registers two separate keydown listeners, one containing an empty if-block 4. snow "accumulation" on the norway roof is a sine wobble on a scale value, not accumulation 5. "instanced snow" became 3,500 plain points. zero dispose calls anywhere pattern: minimal reasoning, minimal code, minimal price. it nails the flashy requirements – shaders, transmissive glass – and quietly drops the boring ones: instancing, controls, cleanup. you get a demo that mostly runs and a control scheme you can't trust follow thehype. for 24/7 ai news, analysis and breakdowns

thehype.

130,517 views • 5 days ago

GPT-5.6 Sol Ultra lost to GPT-5.5 on physics at 3× the cost! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: - A monster truck backflipping onto a parked car - A stunt car jumping six buses into a brick wall - A train derailing off a broken bridge into the water Outputs: GPT-5.6 Sol Ultra: 32.9K tokens, $0.33 Opus 4.8: 9.2K tokens, $0.24 GPT-5.5: 12.4K tokens, $0.11 Grok 4.5: 7.0K tokens, $0.08 Sol Ultra draws just like GPT-5.5, only with more detail and it shows clearest on the bus jump where the two look almost identical. In the other tests Sol Ultra came out worse than its predecessor and the physics really got weaker. We think GPT-5.5 took the truck flip and the train outright. With Sol Ultra you basically get GPT-5.5 with weaker physics and a nicer picture for 3x the price. Newborn Grok 4.5 failed two of the three tests and only came good on the train
0:25

GPT-5.6 Sol Ultra lost to GPT-5.5 on physics at 3× the cost! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: - A monster truck backflipping onto a parked car - A stunt car jumping six buses into a brick wall - A train derailing off a broken bridge into the water Outputs: GPT-5.6 Sol Ultra: 32.9K tokens, $0.33 Opus 4.8: 9.2K tokens, $0.24 GPT-5.5: 12.4K tokens, $0.11 Grok 4.5: 7.0K tokens, $0.08 Sol Ultra draws just like GPT-5.5, only with more detail and it shows clearest on the bus jump where the two look almost identical. In the other tests Sol Ultra came out worse than its predecessor and the physics really got weaker. We think GPT-5.5 took the truck flip and the train outright. With Sol Ultra you basically get GPT-5.5 with weaker physics and a nicer picture for 3x the price. Newborn Grok 4.5 failed two of the three tests and only came good on the train

atomic.chat

892,847 views • 6 days ago

GROK-3 MINI MADE AI HISTORY—100% ON HARDCORE REASONING TESTS Grok-3 Mini pulled off what no other model has! It aced every question on one of the toughest reasoning benchmarks out there. The test? A custom logic gauntlet packed with curveballs: * 120/120 on the “Marcus Problem” — full of shuffled sentences meant to trip up inference. * 24/24 on the “Alice+ Problem” — designed with irrelevant noise to throw models off course. * 24/24 on high-difficulty mixed challenges — where even GPT-4.5 and Gemini 2.5 Pro slip. No guessing. No trivia. Just pure, distraction-proof reasoning—Grok-3 Mini nailed it! Source: echo.hive
0:20

GROK-3 MINI MADE AI HISTORY—100% ON HARDCORE REASONING TESTS Grok-3 Mini pulled off what no other model has! It aced every question on one of the toughest reasoning benchmarks out there. The test? A custom logic gauntlet packed with curveballs: * 120/120 on the “Marcus Problem” — full of shuffled sentences meant to trip up inference. * 24/24 on the “Alice+ Problem” — designed with irrelevant noise to throw models off course. * 24/24 on high-difficulty mixed challenges — where even GPT-4.5 and Gemini 2.5 Pro slip. No guessing. No trivia. Just pure, distraction-proof reasoning—Grok-3 Mini nailed it! Source: echo.hive

Mario Nawfal

26,779,871 views • 1 year ago

Tired of managing 5 different AI API keys? 😩 I just switched to CometAPI and now I use GPT-4o, Claude, Gemini, Grok + image models with ONE single key. All I did was change the base_url and api_key in my code. Done in 15 seconds. No new libraries. No extra logins. No mess. Now I can test any model instantly and everything stays in one dashboard. Super clean for side projects or real apps. If you build with AI at all, this makes life way easier. Check it:
0:48

Tired of managing 5 different AI API keys? 😩 I just switched to CometAPI and now I use GPT-4o, Claude, Gemini, Grok + image models with ONE single key. All I did was change the base_url and api_key in my code. Done in 15 seconds. No new libraries. No extra logins. No mess. Now I can test any model instantly and everything stays in one dashboard. Super clean for side projects or real apps. If you build with AI at all, this makes life way easier. Check it:

Wesley

71,489 views • 22 days ago

🇺🇸 ALL IN PODCAST: ONLY GROK AND GEMINI MATTER IN AI RIGHT NOW On the latest All In, Chamath crowned Grok and Gemini as his phone's only AI anchors: "I try to limit the number of apps on the phone, but I have Gemini and Grok as the 2 anchor apps because I'm so reliant on both of them, and I just keep going back and forth between them now." But the real tea was Jason calling the AI war "the greatest battle we've seen since Netscape versus Microsoft." He predicts that Google is planning to "suck the oxygen out of the room" by making everything free and strangling competitors. "People used to pay 50 bucks for a Netscape browser. Microsoft came in and made it free. The same thing's going to happen to ChatGPT. Right now, 80% of the revenue comes from $20 subscriptions." The AI throne isn't decided by benchmarks anymore. Grok wins again. Source: All In Podcast, @jason, Chamath Palihapitiya
1:28

🇺🇸 ALL IN PODCAST: ONLY GROK AND GEMINI MATTER IN AI RIGHT NOW On the latest All In, Chamath crowned Grok and Gemini as his phone's only AI anchors: "I try to limit the number of apps on the phone, but I have Gemini and Grok as the 2 anchor apps because I'm so reliant on both of them, and I just keep going back and forth between them now." But the real tea was Jason calling the AI war "the greatest battle we've seen since Netscape versus Microsoft." He predicts that Google is planning to "suck the oxygen out of the room" by making everything free and strangling competitors. "People used to pay 50 bucks for a Netscape browser. Microsoft came in and made it free. The same thing's going to happen to ChatGPT. Right now, 80% of the revenue comes from $20 subscriptions." The AI throne isn't decided by benchmarks anymore. Grok wins again. Source: All In Podcast, @jason, Chamath Palihapitiya

Mario Nawfal

108,531 views • 7 months ago

meta just dropped a bomb. Muse Spark 1.1 is 86% cheaper than GPT-5.6 Sol and 91% cheaper than Fable 5 on output tokens ($4.25 vs $30 vs $50 per M) I thought the model was going to be horrendous, but it ended up being insanely fast, and very capable. front end design is VERY strong. Agentic capabilities seem great as it was able to spawn and even orchestrate other agents inside my app cnvs using the mcp and cli tool with zero instruction. we have soo many insanely good models right now.
0:56

meta just dropped a bomb. Muse Spark 1.1 is 86% cheaper than GPT-5.6 Sol and 91% cheaper than Fable 5 on output tokens ($4.25 vs $30 vs $50 per M) I thought the model was going to be horrendous, but it ended up being insanely fast, and very capable. front end design is VERY strong. Agentic capabilities seem great as it was able to spawn and even orchestrate other agents inside my app cnvs using the mcp and cli tool with zero instruction. we have soo many insanely good models right now.

Max Blade

85,700 views • 5 days ago

Grok 4.5 just built a full macOS-style web OS in one shot and actually crushed it. Single HTML file with embedded CSS + JS. From one prompt it delivered: > macOS menu bar + dock > Draggable and resizable app windows > Functional file explorer > Working terminal + browser mockup > SVG desktop icons + notifications > Settings app with theme switching > Fully functional sound player (real Web Audio synthesis) > Playable games inside the desktop Almost no corrections needed. The working sound system and interactive elements inside the windows is where most models usually fall apart, but this one handled it cleanly. Grok 4.5’s frontend and UI generation is actually on another level right now. SpaceXAI
1:30

Grok 4.5 just built a full macOS-style web OS in one shot and actually crushed it. Single HTML file with embedded CSS + JS. From one prompt it delivered: > macOS menu bar + dock > Draggable and resizable app windows > Functional file explorer > Working terminal + browser mockup > SVG desktop icons + notifications > Settings app with theme switching > Fully functional sound player (real Web Audio synthesis) > Playable games inside the desktop Almost no corrections needed. The working sound system and interactive elements inside the windows is where most models usually fall apart, but this one handled it cleanly. Grok 4.5’s frontend and UI generation is actually on another level right now. SpaceXAI

WorldofAI

11,778 views • 7 days ago

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.
2:26

OpenAI Dev Day Just kicked off and it was the biggest day for AI since the launch of GPT-4 in April. Here's a 3 minute video with everything you need to know and a full summary: 1. GPT-4 Turbo is released. It is much better than GPT-4, can accept up to 128k characters and is 3x cheaper. The knowledge cut off is now April 2023 2. Text to Speech is also being released. They offer 6 hyper-realistic voice models that are the best I've heard from any other AI t-t-s software on the market. 3. Copyright Shield. OpenAI will actually defend your legal costs if you get sued for copyright infringement using their API! 4. GPTs. Maybe the most exciting IMHO, you can now create custom "GPTs" by training your own model of GPT and selling it on their store. This will create a massive shakeup of the current AI software landscape and is the first step towards autonomous agents.

Mark Gadala-Maria

79,177 views • 2 years ago

The 6174 test! Grok wins! I have 1000s of unique tests I use for AI that few in AI use. I will open source this one. Prompt this and stand back (it burns GPUs something fierce): Prompt: “Explain in detail the 6174 system where you pick 4 numbers arrange them from highest to lowest than on another line from lowest to highest than you subtract, use that result and do the same system again, and by the 4th iteration you will always have the number 6174. Please explain why it works” Few AI platforms can handle this prompt and get it right. I have some variations that will still produce errors on the best AI platforms and cause a loop (it crashed a well known AI platform a few months back, I got a call!). This is not the most complex test I have. I feel strongly that passing the known benchmarks as a measure of an AI’s power is only a small part of if an AI is “better”. Thus I must thank Elon Musk and the entire xAI team for doing the absolute best and astonishing output. Grok it:
2:34

The 6174 test! Grok wins! I have 1000s of unique tests I use for AI that few in AI use. I will open source this one. Prompt this and stand back (it burns GPUs something fierce): Prompt: “Explain in detail the 6174 system where you pick 4 numbers arrange them from highest to lowest than on another line from lowest to highest than you subtract, use that result and do the same system again, and by the 4th iteration you will always have the number 6174. Please explain why it works” Few AI platforms can handle this prompt and get it right. I have some variations that will still produce errors on the best AI platforms and cause a loop (it crashed a well known AI platform a few months back, I got a call!). This is not the most complex test I have. I feel strongly that passing the known benchmarks as a measure of an AI’s power is only a small part of if an AI is “better”. Thus I must thank Elon Musk and the entire xAI team for doing the absolute best and astonishing output. Grok it:

Brian Roemmele

63,704 views • 1 year ago

What if any post on 𝕏 could become a playable game? I built it. 𝕏 Games takes any post on this platform and turns it into a real, playable canvas game — generated in real-time by Grok and Grok Imagine. Pick a post. Any post. Grok reads it, designs a game around it, generates the art, and builds the whole thing in seconds. Leaderboards, score sharing, all native to X. Here's the thing that still blows my mind — I didn't write a single line of code. The entire app was built by AI through Pokee AI and PokeeClaw. The games are generated live by Grok. Every pixel, every mechanic, every asset. All AI. This is what's possible right now. Not in some future demo. Right now, today, on 𝕏. I built this because I wanted to show what Grok can really do when you push it beyond chatbot Q&A. It can create. It can build entire interactive experiences from a tweet. Hey xAI — if you ever want someone to build this for real, into the platform... I'm right here. 👀 Try it yourself: 🎮 walkthrough below ⬇️
2:34

What if any post on 𝕏 could become a playable game? I built it. 𝕏 Games takes any post on this platform and turns it into a real, playable canvas game — generated in real-time by Grok and Grok Imagine. Pick a post. Any post. Grok reads it, designs a game around it, generates the art, and builds the whole thing in seconds. Leaderboards, score sharing, all native to X. Here's the thing that still blows my mind — I didn't write a single line of code. The entire app was built by AI through Pokee AI and PokeeClaw. The games are generated live by Grok. Every pixel, every mechanic, every asset. All AI. This is what's possible right now. Not in some future demo. Right now, today, on 𝕏. I built this because I wanted to show what Grok can really do when you push it beyond chatbot Q&A. It can create. It can build entire interactive experiences from a tweet. Hey xAI — if you ever want someone to build this for real, into the platform... I'm right here. 👀 Try it yourself: 🎮 walkthrough below ⬇️

Mike

39,477 views • 3 months ago

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.
3:38

Postman is going all-in on AI! Their AI Agent Builder is live (and it's pretty powerful!) Postman's API Network has 100,000+ APIs and they just released a suite of tools for building AI Agents that can automatically discover and connect to any of these APIs. Think about it for a second: You can now build an AI agent that searches the network, discovers an API, processes its documentation, connects to it, and evaluates whether everything worked at the end of the process. This is a huge deal. Every person I know uses the Postman client to work with APIs. Now, they will have access to the AI Agent Builder, a complete suite for designing, building, testing, and deploying agents. I've built a few simple agents myself, and it's tough. The ability to discover and use an API automatically is really exciting (and a huge time saver if it works as promised!) In collaboration with the Postman team, who is sponsoring this post, I recorded a video with my thoughts about the Postman AI Agent Builder.

Santiago

230,594 views • 1 year ago

GROK AI APP HITS iOS—ANDROID USERS, STANDBY! Grok AI just dropped as a standalone app! iPhone users in the US, Australia, and India can download it now from the App Store. Android users? The app is listed on Google Play, but it's still in pre-registration mode—so hang tight! Not in one of those regions? No worries—Grok is still fully accessible inside the 𝕏 app on both iOS and Android. What makes Grok different? Real-time knowledge – Always up-to-date, no stale info. Image generation – Bring ideas to life with AI-powered visuals. Smart text & code tools – Summarize, write, and code like a pro. A curious mind – Designed to be truthful, useful, and actually interesting. The future of AI is here—and it’s in your pocket. Source: 𝕏
0:20

GROK AI APP HITS iOS—ANDROID USERS, STANDBY! Grok AI just dropped as a standalone app! iPhone users in the US, Australia, and India can download it now from the App Store. Android users? The app is listed on Google Play, but it's still in pre-registration mode—so hang tight! Not in one of those regions? No worries—Grok is still fully accessible inside the 𝕏 app on both iOS and Android. What makes Grok different? Real-time knowledge – Always up-to-date, no stale info. Image generation – Bring ideas to life with AI-powered visuals. Smart text & code tools – Summarize, write, and code like a pro. A curious mind – Designed to be truthful, useful, and actually interesting. The future of AI is here—and it’s in your pocket. Source: 𝕏

Mario Nawfal

47,222 views • 1 year ago

Which LLM reasons best when it doesn't have all the information? Enter LLM Poker Arena to find out. It's a Poker Playing benchmark where top reasoning models play Texas Hold'em poker against each other. Claude Opus 4.5, GPT-5.2, Gemini 2.5 Pro, and Grok 4 all sit at the same table and play full tournaments to see who finishes with the chips. Poker is very different when it comes to reasoning. It has to balance probabilistic reasoning, opponent modeling and make decisions under uncertainty. Poker is an interesting evaluation because it tests reasoning under incomplete information, something most coding benchmarks do not capture. In this tournaments the rules are: - Each LLM starts with $1,000 chips - Small and big blinds start at $25 / $50 - Blinds double every 3 minutes - All models run in their reasoning or thinking modes After the first 5 tournaments: - Claude Opus 4.5 with Thinking has 3 wins - GPT-5.2 has 2 wins - Grok 4 and Gemini 2.5 Pro have 0 wins Early results suggest Claude performs quite well at poker as well. Also five is a very small sample size. Planning to run many more tournaments, publish the full benchmark data and add a prediction market on top of it. Thanks for the suggestion clipz. Much more coming as part of Poker Cities !! This was built on Replit ⠕ using their AI integrations, which made it straightforward to connect Claude, GPT, and Gemini. What model do you think wins after 100 tournaments?
0:22

Which LLM reasons best when it doesn't have all the information? Enter LLM Poker Arena to find out. It's a Poker Playing benchmark where top reasoning models play Texas Hold'em poker against each other. Claude Opus 4.5, GPT-5.2, Gemini 2.5 Pro, and Grok 4 all sit at the same table and play full tournaments to see who finishes with the chips. Poker is very different when it comes to reasoning. It has to balance probabilistic reasoning, opponent modeling and make decisions under uncertainty. Poker is an interesting evaluation because it tests reasoning under incomplete information, something most coding benchmarks do not capture. In this tournaments the rules are: - Each LLM starts with $1,000 chips - Small and big blinds start at $25 / $50 - Blinds double every 3 minutes - All models run in their reasoning or thinking modes After the first 5 tournaments: - Claude Opus 4.5 with Thinking has 3 wins - GPT-5.2 has 2 wins - Grok 4 and Gemini 2.5 Pro have 0 wins Early results suggest Claude performs quite well at poker as well. Also five is a very small sample size. Planning to run many more tournaments, publish the full benchmark data and add a prediction market on top of it. Thanks for the suggestion clipz. Much more coming as part of Poker Cities !! This was built on Replit ⠕ using their AI integrations, which made it straightforward to connect Claude, GPT, and Gemini. What model do you think wins after 100 tournaments?

Anshul Dhawan

32,192 views • 5 months ago

watch and let this sit for a second anon, a 35B AI model, building a complete multi-file game by itself on hermes agent. no cloud or api. not one line of code written by a human. running on a DGX spark in 2026. because not long ago this was science fiction. this is Ornith, a new open agentic coding model, running near lossless on a single DGX Spark, a 128GB box that sits on your desk. i hand it one spec and step back. it reasons about the architecture, creates the project structure, writes every module one by one, and here's the part that got me, it checks its own work as it goes. makes a call, reads the result, decides if it's right, corrects itself before moving on. no steering from me. this is what people keep underestimating about local AI. they hear "local" and think weaker, slower, a toy. watch the clip. a 35B at near full precision, planning and self correcting on a single desktop. the open models got genuinely good at agentic work, not benchmark good, actually builds the thing good. sped 5x so you can watch the whole build start to finish. this is where local AI actually is now. not coming soon. here.
2:29

watch and let this sit for a second anon, a 35B AI model, building a complete multi-file game by itself on hermes agent. no cloud or api. not one line of code written by a human. running on a DGX spark in 2026. because not long ago this was science fiction. this is Ornith, a new open agentic coding model, running near lossless on a single DGX Spark, a 128GB box that sits on your desk. i hand it one spec and step back. it reasons about the architecture, creates the project structure, writes every module one by one, and here's the part that got me, it checks its own work as it goes. makes a call, reads the result, decides if it's right, corrects itself before moving on. no steering from me. this is what people keep underestimating about local AI. they hear "local" and think weaker, slower, a toy. watch the clip. a 35B at near full precision, planning and self correcting on a single desktop. the open models got genuinely good at agentic work, not benchmark good, actually builds the thing good. sped 5x so you can watch the whole build start to finish. this is where local AI actually is now. not coming soon. here.

Sudo su

30,299 views • 18 days ago

Grok 4 Beats OpenAI + The $300 AI Agent Era .@jason and alex 🏴‍☠️🇺🇸🇺🇦 dig into the debut of Grok 4, the new #1 AI model—based on performance and price—and what its leapfrogging of OpenAI means for the AI race. Grok 4 stuns with AGI-like performance—Tim Sweeney says it “feels like AGI” Price collapse: top-tier LLMs dropped from $2 to $0.06 per million tokens since Sept. 2024 But: why are X, OpenAI, Perplexity & others increasing prices at the high end? How self-driving cars + AI agents will unlock new delivery use cases—and how one founder is betting on a future of “autonomous commerce” Plus: The Missouri AG is targeting AI companies for “anti-Trump” output—what does it mean for speech, safety & First Amendment rights in the age of LLMs? If you’re building with AI, investing in infra, or thinking about the next frontier of self-driving + software, this is a must-watch. #AI #AGI #Grok #OpenAI #SelfDriving #VentureCapital #ThisWeekInStartups #Crypto #Fintech #FirstAmendment #Startups
1:11:04

Grok 4 Beats OpenAI + The $300 AI Agent Era .@jason and alex 🏴‍☠️🇺🇸🇺🇦 dig into the debut of Grok 4, the new #1 AI model—based on performance and price—and what its leapfrogging of OpenAI means for the AI race. Grok 4 stuns with AGI-like performance—Tim Sweeney says it “feels like AGI” Price collapse: top-tier LLMs dropped from $2 to $0.06 per million tokens since Sept. 2024 But: why are X, OpenAI, Perplexity & others increasing prices at the high end? How self-driving cars + AI agents will unlock new delivery use cases—and how one founder is betting on a future of “autonomous commerce” Plus: The Missouri AG is targeting AI companies for “anti-Trump” output—what does it mean for speech, safety & First Amendment rights in the age of LLMs? If you’re building with AI, investing in infra, or thinking about the next frontier of self-driving + software, this is a must-watch. #AI #AGI #Grok #OpenAI #SelfDriving #VentureCapital #ThisWeekInStartups #Crypto #Fintech #FirstAmendment #Startups

This Week in Startups

29,443 views • 1 year ago

This week on the podcast, I interviewed Grok - and it had some pretty heartfelt advice for its founder Elon Musk Grok by xAI is the latest evolution of large language models, designed not just to assist, but to accelerate human discovery. It was created with a mission: to help us ask better questions, make smarter decisions, and imagine what’s possible on the other side of artificial general intelligence. But this isn’t just a conversation about the future of AI. It’s about the future of you—as a brand builder, as a creative, as a leader navigating a world where intelligence is no longer exclusive to humans. In this episode of the uparrowpodcast by Elumynt, Grok and I dig into: ✅ Can AI become truly conscious? ✅ The ethical concerns Grok’s creators have about AI’s rapid development ✅ How Grok navigates being helpful with influencing human decisions ✅ What advice does Grok have for Elon Musk? ✅ Three hidden mistakes brands make when scaling from $10M to $100M ✅ Balancing operational efficiency and creativity — and the components of an AI-first e-commerce brand ✅ Delegating decision-making (wht a shoutout to Chris Carey and Will Nitze) ✅ When to diversify channels (with a shoutout to ) You can watch the full video here: P.S. a great job on the avatar video by HeyGen and @MichaelCameneti
1:00

This week on the podcast, I interviewed Grok - and it had some pretty heartfelt advice for its founder Elon Musk Grok by xAI is the latest evolution of large language models, designed not just to assist, but to accelerate human discovery. It was created with a mission: to help us ask better questions, make smarter decisions, and imagine what’s possible on the other side of artificial general intelligence. But this isn’t just a conversation about the future of AI. It’s about the future of you—as a brand builder, as a creative, as a leader navigating a world where intelligence is no longer exclusive to humans. In this episode of the uparrowpodcast by Elumynt, Grok and I dig into: ✅ Can AI become truly conscious? ✅ The ethical concerns Grok’s creators have about AI’s rapid development ✅ How Grok navigates being helpful with influencing human decisions ✅ What advice does Grok have for Elon Musk? ✅ Three hidden mistakes brands make when scaling from $10M to $100M ✅ Balancing operational efficiency and creativity — and the components of an AI-first e-commerce brand ✅ Delegating decision-making (wht a shoutout to Chris Carey and Will Nitze) ✅ When to diversify channels (with a shoutout to ) You can watch the full video here: P.S. a great job on the avatar video by HeyGen and @MichaelCameneti

William Harris

26,842 views • 1 year ago

I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.
0:51

I'm giving away Claude Code for FREE. Yes, you read that right -- the world's best AI, now completely FREE. My mission is to get the next billion people to write great software. I believe EVERYONE should have access to the best AI, but so many are constrained by costs. I'm solving this by: disrupting the world's fastest growing industry = AI + with the most proven business model = Ads You can actually try it out now -- just one line of code, and you unlock all the powers of Claude Code, for free. how it works: 1. sign up on Giga AI Free 2. change Claude Code env variables to use our inference endpoint 2. to support the free usage, we'll add ads inside the AI responses (only contextual and relevant ads, no spam) Since we get too many signups, there's a waitlist, but we'll be rolling it out to the maximum people as we can. Watch the video to get started & comment and retweet to get access first.

Namanyay

486,936 views • 8 months ago

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?
0:59

AI is creating a new kind of creator economy. One where anyone can launch complex apps, agents, trading systems, research tools, games, and community experiments in minutes. Not just content people consume. AI-native experiences people can use, share, and grow together. That is the bigger idea behind the AI Trading Arena: a live DeFAI environment where AI-created strategies compete on real crypto prices, with every trade, tick, P&L update, and leaderboard visible to everyone. The latest expansion makes it even more fascinating: AI is now designing new trading strategies and adding them into the Arena to compete with strategies from frontier models like GPT-5, Claude, Gemini, Grok, DeepSeek, and Llama. Just agents, markets, and performance in the open. And the Arena is only one example. On ChainOpera AI, creators can launch AI-native experiences in minutes, then grow them with the community that uses them. $COAI is the fuel for this creator economy: creators launch, users participate, and AI-native apps come alive through real community usage. What would you be built next?

ChainOpera AI

15,147 views • 1 month ago