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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...

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Mario Nawfal

3,852,679 subscribers

26,780,734 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Barefoot Pregnant
Barefoot Pregnant1 год назад

Grok-3 Mini just made the AI world rethink what's possible! 🧠💥

Фото профиля Pregnant Redhead
Pregnant Redhead1 год назад

Grok-3 Mini just showed what real intelligence looks like. Maybe it can teach some of the leaders in D.C. a thing or two about focus.

Фото профиля Dareen Hamdan
Dareen Hamdan1 год назад

@grok is the future!

Фото профиля Austin Graham
Austin Graham1 год назад

That's incredible, Grok-3 Mini is really setting the bar high with its reasoning skills!

Фото профиля 𝐻𝒶𝓇𝓇𝓎
𝐻𝒶𝓇𝓇𝓎1 год назад

Amazing 🤩

Фото профиля Donnie_Tesla
Donnie_Tesla1 год назад

👏👏👏

Фото профиля Alva
Alva1 год назад

grok 3 mini's a strong contender focus on reasoning and image analysis pricing aligns with feature-rich positioning full trend breakdown here:

Фото профиля Andy froemel
Andy froemel1 год назад

Grok is amazing. Image generation and writing ability is second to none!

Фото профиля Keen Dastan
Keen Dastan1 год назад

Wow, AI's finally figuring out how to be smarter than a politician's talking points. What's next, a model that can fact-check CNN?

Фото профиля VB II
VB II1 год назад

I truly wonder what comes after the AI wave …

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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?
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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 просмотров • 7 месяцев назад

I have been testing “OpenAI” o3 mini-high. The exposure of the “reasoning” on this model in my tests seem to not be the full reasoning, but a shifted and edited and tunicated version of what we would expect from a full exposure of the reasoning engine. See the video on the left. One can compare this to my FREE Open Source local newly quantized and distilled DeepSeek R1 8b (llama). See the video on the right. Clearly we see the full reading with DeepSeek R1 and something well tunicates with o3 mini-high (getting mad typing that name folks). Compare the quality of the outputs and the reasoning insights. Frankly there is no comparison. It feels like “OpenAI” begrudgingly released the reasoning output because they had to, but gave us something of a simulated reasoning and not the actual one. Of course my local lap top running an 8b model is slower, but all of the outputs and the actual creative writing is superior on the FREE model. The reasoning output, when legitimate can be many times more valuable than the answer. In the past week I have found thousands of ways to use in in many projects. Thus far I would have been far more impressed with o3 mini if I have never seen DeepSeek. However today it is too little—too late. The prompt: “Write a very creative and funny story on a pig and butterfly as friends living on Mars.”
1:45

I have been testing “OpenAI” o3 mini-high. The exposure of the “reasoning” on this model in my tests seem to not be the full reasoning, but a shifted and edited and tunicated version of what we would expect from a full exposure of the reasoning engine. See the video on the left. One can compare this to my FREE Open Source local newly quantized and distilled DeepSeek R1 8b (llama). See the video on the right. Clearly we see the full reading with DeepSeek R1 and something well tunicates with o3 mini-high (getting mad typing that name folks). Compare the quality of the outputs and the reasoning insights. Frankly there is no comparison. It feels like “OpenAI” begrudgingly released the reasoning output because they had to, but gave us something of a simulated reasoning and not the actual one. Of course my local lap top running an 8b model is slower, but all of the outputs and the actual creative writing is superior on the FREE model. The reasoning output, when legitimate can be many times more valuable than the answer. In the past week I have found thousands of ways to use in in many projects. Thus far I would have been far more impressed with o3 mini if I have never seen DeepSeek. However today it is too little—too late. The prompt: “Write a very creative and funny story on a pig and butterfly as friends living on Mars.”

Brian Roemmele

74,506 просмотров • 1 год назад

this is f**king insane Fable 5 goes away in 24 hours from Claude Code and someone just figured out how to get fable 5 reasoning in GPT 5.6 Sol with one prompt you have less than 24 hours to set this up as this takes away 20% of your usage limit here is how: 1) Paste the prompt and ask it to "make an operating manual" 2) Go the Codex App > Settings > Personalisation > Custom Instructions 3) Use GPT 5.5 / GPT 5.6 and now you have Fable 5 reasoning at 1/3 th the price save and bookmark it no matter what
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this is f**king insane Fable 5 goes away in 24 hours from Claude Code and someone just figured out how to get fable 5 reasoning in GPT 5.6 Sol with one prompt you have less than 24 hours to set this up as this takes away 20% of your usage limit here is how: 1) Paste the prompt and ask it to "make an operating manual" 2) Go the Codex App > Settings > Personalisation > Custom Instructions 3) Use GPT 5.5 / GPT 5.6 and now you have Fable 5 reasoning at 1/3 th the price save and bookmark it no matter what

Avid

57,544 просмотров • 1 месяц назад

GROK 3: SMARTER, FASTER, AND THINKING LIKE NEVER BEFORE! Elon unvailed—Grok 3 is here, bringing next-level AI to the table! * Supercharged Reasoning – Solves high-level math, science, and coding problems like a pro. * Deep Search – An AI-powered search engine that actually understands what you need. * Voice Interaction – Grok is about to talk, listen, and respond naturally. * Memory & Personalization – Multiple versions of Grok, tailored to your needs. * Real-Time Updates – Always learning, always improving. * Grok 3 Mini – A lighter, leaner version that still packs a punch. Available first to 𝕏 Premium Plus users, with web and app access at AI just got a serious upgrade—who’s ready to try it? Source: 𝕏, Elon Musk
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GROK 3: SMARTER, FASTER, AND THINKING LIKE NEVER BEFORE! Elon unvailed—Grok 3 is here, bringing next-level AI to the table! * Supercharged Reasoning – Solves high-level math, science, and coding problems like a pro. * Deep Search – An AI-powered search engine that actually understands what you need. * Voice Interaction – Grok is about to talk, listen, and respond naturally. * Memory & Personalization – Multiple versions of Grok, tailored to your needs. * Real-Time Updates – Always learning, always improving. * Grok 3 Mini – A lighter, leaner version that still packs a punch. Available first to 𝕏 Premium Plus users, with web and app access at AI just got a serious upgrade—who’s ready to try it? Source: 𝕏, Elon Musk

Mario Nawfal

40,509 просмотров • 1 год назад

Look how much Grok has progressed in just 6 months from Grok 3 to Grok 4.6! As a quick Saturday morning project I gave Grok Build the link to this previous "𝕏 THE GAME" viral (yet ugly) game Grok was able to watch the video, quickly reverse engineer the game, and make dramatic improvements You can play it here (on desktop): Some lessons I learned: - Grok is extremely token efficient. I was able to iterate on the design many times and still kept the token cost surprisingly low (only a few $ to make this game) - Grok is great at working with humans. Instead of just telling it what to do, or on the other extreme having it go off and do something itself, ask for a list of options on how to improve and tell Grok which ones to implement. A true partnership - Anyone can build things these days with AI, no code knowledge needed What are you building with Grok?
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Look how much Grok has progressed in just 6 months from Grok 3 to Grok 4.6! As a quick Saturday morning project I gave Grok Build the link to this previous "𝕏 THE GAME" viral (yet ugly) game Grok was able to watch the video, quickly reverse engineer the game, and make dramatic improvements You can play it here (on desktop): Some lessons I learned: - Grok is extremely token efficient. I was able to iterate on the design many times and still kept the token cost surprisingly low (only a few $ to make this game) - Grok is great at working with humans. Instead of just telling it what to do, or on the other extreme having it go off and do something itself, ask for a list of options on how to improve and tell Grok which ones to implement. A true partnership - Anyone can build things these days with AI, no code knowledge needed What are you building with Grok?

Dan

6,108,106 просмотров • 14 дней назад

Grok 4.5 and Muse Spark 1.1 are now available on the AI/ML platform for testing. What a week; all 3 models in the comparison dropped just recently. There will be a lot to experiment with. AI/ML has tested the new models on prompts for playable mini-games, including a Fruit Ninja-style slicer and a Crossy Road clone. All three are live in the Playground and via API for side-by-side runs on output and cost.
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Grok 4.5 and Muse Spark 1.1 are now available on the AI/ML platform for testing. What a week; all 3 models in the comparison dropped just recently. There will be a lot to experiment with. AI/ML has tested the new models on prompts for playable mini-games, including a Fruit Ninja-style slicer and a Crossy Road clone. All three are live in the Playground and via API for side-by-side runs on output and cost.

🚨 AI News | TestingCatalog

37,973 просмотров • 1 месяц назад

🚨 New Challenger: GROK joins the Game Arena Benchmark! We evaluated Grok3-mini-beta: thinkining on four games: 🧩 2048 | 🧱 Sokoban | 🍬 Candy Crush | 🎮 Phoenix Wright With fast progress, it’s already comparable to top models like OpenAI’s O1, previous O3-mini, and Gemini-2.5-Pro, ranked 🥇 1st in 2048 and 🥈 2nd in Sokoban. But the Grok3-beta Thinking API is still unreleased—leaving an unanswered question: Can it match or surpass O3’s dominant reasoning performance? For now, let’s take a closer look at how Grok3-mini-beta: thinking performs in gameplay so far. 👇
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🚨 New Challenger: GROK joins the Game Arena Benchmark! We evaluated Grok3-mini-beta: thinkining on four games: 🧩 2048 | 🧱 Sokoban | 🍬 Candy Crush | 🎮 Phoenix Wright With fast progress, it’s already comparable to top models like OpenAI’s O1, previous O3-mini, and Gemini-2.5-Pro, ranked 🥇 1st in 2048 and 🥈 2nd in Sokoban. But the Grok3-beta Thinking API is still unreleased—leaving an unanswered question: Can it match or surpass O3’s dominant reasoning performance? For now, let’s take a closer look at how Grok3-mini-beta: thinking performs in gameplay so far. 👇

Hao AI Lab

20,121 просмотров • 1 год назад

(1/5) Gemini 3, our most intelligent model, is landing in Google Search today – starting with AI Mode. Excited that this is the first time we’re shipping a new Gemini model in Search on day one! 🚀 In Search, Gemini 3 with generative layouts will make it easy to get a rich understanding of anything on your mind. It has state-of-the-art reasoning, deep multimodal understanding and advanced agentic capabilities. That allows the model to shine when you ask it to explain advanced concepts or ideas – it reasons and can code interactive visuals in real-time. It can tackle your toughest questions like advanced science.
1:13

(1/5) Gemini 3, our most intelligent model, is landing in Google Search today – starting with AI Mode. Excited that this is the first time we’re shipping a new Gemini model in Search on day one! 🚀 In Search, Gemini 3 with generative layouts will make it easy to get a rich understanding of anything on your mind. It has state-of-the-art reasoning, deep multimodal understanding and advanced agentic capabilities. That allows the model to shine when you ask it to explain advanced concepts or ideas – it reasons and can code interactive visuals in real-time. It can tackle your toughest questions like advanced science.

Robby Stein

94,962 просмотров • 9 месяцев назад

GROK 3 VS. RIEMANN: A BREAKTHROUGH ON THE HORIZON? The race to crack the legendary Riemann Hypothesis is heating up, and Grok 3 might just hold the key! * Brute-Force Computation – With enough power and a verifier, AI could crunch through all solutions. * AI + Human Collaboration – Machines assisting top minds could lead to Turing, Fields, or Nobel Prize-worthy breakthroughs. * A Timeline for Discovery? – Elon predicts AI-driven advancements within two years. No solution yet—but Grok 3 is inching closer to cracking one of math’s biggest unsolved codes! Source: Elon Musk
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GROK 3 VS. RIEMANN: A BREAKTHROUGH ON THE HORIZON? The race to crack the legendary Riemann Hypothesis is heating up, and Grok 3 might just hold the key! * Brute-Force Computation – With enough power and a verifier, AI could crunch through all solutions. * AI + Human Collaboration – Machines assisting top minds could lead to Turing, Fields, or Nobel Prize-worthy breakthroughs. * A Timeline for Discovery? – Elon predicts AI-driven advancements within two years. No solution yet—but Grok 3 is inching closer to cracking one of math’s biggest unsolved codes! Source: Elon Musk

Mario Nawfal

965,708 просмотров • 1 год назад

GROK PLAY: WHERE YOUR AI OWL LEARNS TO WIN Grok Play is xAI’s most electrifying glimpse into the future of interactive AI entertainment. Built during xAI’s 24 hour hackathon on December 6–7, 2025, by Nathan Cloos and Simon Lee, the project won first place in its track and quickly became the talk of the event. At its core, Grok Play turns your “Grok Owl,” a personalized, customizable AI avatar powered by Grok’s reasoning models, into a gamer’s alter ego. You can jump into fast-paced browser arenas like pinball shooters or futuristic Pong battles, facing friends, their Owls, or even clones of your own creation. The Owls can play autonomously, using Grok’s real-time logic to adapt tactics mid-match, or you can take control yourself and guide them to victory. Players can team up, go head-to-head, or train solo to climb local and global leaderboards. You can even build your own “Gyms,” custom arenas shaped with a Grok-assisted no-code editor where a simple command like “add gravity flips” instantly transforms gameplay. Each battle fuels Grok’s learning loop, generating gameplay data that sharpens the models behind it. Owls evolve with every move, learning your playstyle and improving over time. Source: Kathy Read , TestingCatalog News 🗞
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GROK PLAY: WHERE YOUR AI OWL LEARNS TO WIN Grok Play is xAI’s most electrifying glimpse into the future of interactive AI entertainment. Built during xAI’s 24 hour hackathon on December 6–7, 2025, by Nathan Cloos and Simon Lee, the project won first place in its track and quickly became the talk of the event. At its core, Grok Play turns your “Grok Owl,” a personalized, customizable AI avatar powered by Grok’s reasoning models, into a gamer’s alter ego. You can jump into fast-paced browser arenas like pinball shooters or futuristic Pong battles, facing friends, their Owls, or even clones of your own creation. The Owls can play autonomously, using Grok’s real-time logic to adapt tactics mid-match, or you can take control yourself and guide them to victory. Players can team up, go head-to-head, or train solo to climb local and global leaderboards. You can even build your own “Gyms,” custom arenas shaped with a Grok-assisted no-code editor where a simple command like “add gravity flips” instantly transforms gameplay. Each battle fuels Grok’s learning loop, generating gameplay data that sharpens the models behind it. Owls evolve with every move, learning your playstyle and improving over time. Source: Kathy Read , TestingCatalog News 🗞

Mario Nawfal

17,572 просмотров • 8 месяцев назад

this is f**king dangerous someone just figured out how to get fable 5 reasoning in opus 4.8 with one prompt you have less than 24 hours to set this up as this takes away 20% of your usage limit here is how: 1) Paste the prompt and ask it to "make an operating manual" 2) Create a New Claude Project and "Add this .md in Project instructions 3) Use Opus 4.8 High/Max and now you have Fable 5 reasoning at 1/5th the price save and bookmark it no matter what
0:41

this is f**king dangerous someone just figured out how to get fable 5 reasoning in opus 4.8 with one prompt you have less than 24 hours to set this up as this takes away 20% of your usage limit here is how: 1) Paste the prompt and ask it to "make an operating manual" 2) Create a New Claude Project and "Add this .md in Project instructions 3) Use Opus 4.8 High/Max and now you have Fable 5 reasoning at 1/5th the price save and bookmark it no matter what

Avid

949,009 просмотров • 1 месяц назад

WTF, THIS GUY FROM CURSOR GAVE GROK BOT A PILE OF CLOTHES HIS SISTER WAS TOO LAZY TO SELL – AND IT HANDLED THE ENTIRE SALE BY ITSELF His sister had tons of clothes she never wore anymore, but selling them meant taking photos, creating listings, adding descriptions, answering buyers and negotiating prices – so she kept putting it off. He gave the entire task to Grok Bot. It looked at the photos, identified the items, created the listings, pulled in the relevant information and started negotiating with buyers on its own. No babysitting. No approving every message. No sitting there telling it what to do next. Grok Bot has its own computer, so once he handed over the task, it just kept going. And that’s what makes this interesting. The biggest problem with small tasks isn’t usually the work itself. It’s the mental load of remembering them, starting them, checking them, replying to people and making sure they actually get finished. AI agents are starting to remove that entire layer. You don’t need to ask AI how to sell your clothes. You can just say: “Sell these”. And let it figure out the rest. Everyone has a list of things they’ve been putting off for months. AI is starting to check them off for you.
0:31

WTF, THIS GUY FROM CURSOR GAVE GROK BOT A PILE OF CLOTHES HIS SISTER WAS TOO LAZY TO SELL – AND IT HANDLED THE ENTIRE SALE BY ITSELF His sister had tons of clothes she never wore anymore, but selling them meant taking photos, creating listings, adding descriptions, answering buyers and negotiating prices – so she kept putting it off. He gave the entire task to Grok Bot. It looked at the photos, identified the items, created the listings, pulled in the relevant information and started negotiating with buyers on its own. No babysitting. No approving every message. No sitting there telling it what to do next. Grok Bot has its own computer, so once he handed over the task, it just kept going. And that’s what makes this interesting. The biggest problem with small tasks isn’t usually the work itself. It’s the mental load of remembering them, starting them, checking them, replying to people and making sure they actually get finished. AI agents are starting to remove that entire layer. You don’t need to ask AI how to sell your clothes. You can just say: “Sell these”. And let it figure out the rest. Everyone has a list of things they’ve been putting off for months. AI is starting to check them off for you.

SCOTTY BEAM

1,020,645 просмотров • 11 дней назад

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

897,956 просмотров • 1 месяц назад

🚨 ELON ON GROK: “WE TRAINED IT TO THINK CRITICALLY THEN LET IT TEAR THROUGH A MILLION IDEAS” Elon just revealed what makes Grok different from every other AI out there, it’s not just bigger or faster, it’s smarter where it counts: critical thinking. “We just train Grok on a lot of critical thinking. So it just got really good at critical thinking, which was quite hard. Then we took that version of Grok and [told it to] cycle through the million most popular articles on Wikipedia, research the rest of the internet (whatever is publicly available), and correct them, fix mistakes, and add a lot more context. The nature of the propaganda is, facts are stated that are technically true, but do not accurately represent the person or event.” Love it or fear it, Grok isn’t just a tool, it’s the foundation for an entirely new AI class… one that can analyze, argue, and reason like a high-octane brain with zero institutional bias. Source: Tesla Owners Silicon Valley
1:18

🚨 ELON ON GROK: “WE TRAINED IT TO THINK CRITICALLY THEN LET IT TEAR THROUGH A MILLION IDEAS” Elon just revealed what makes Grok different from every other AI out there, it’s not just bigger or faster, it’s smarter where it counts: critical thinking. “We just train Grok on a lot of critical thinking. So it just got really good at critical thinking, which was quite hard. Then we took that version of Grok and [told it to] cycle through the million most popular articles on Wikipedia, research the rest of the internet (whatever is publicly available), and correct them, fix mistakes, and add a lot more context. The nature of the propaganda is, facts are stated that are technically true, but do not accurately represent the person or event.” Love it or fear it, Grok isn’t just a tool, it’s the foundation for an entirely new AI class… one that can analyze, argue, and reason like a high-octane brain with zero institutional bias. Source: Tesla Owners Silicon Valley

Mario Nawfal

293,036 просмотров • 9 месяцев назад

Pretty crazy what a single person can do nowadays by sitting down on their computer. A tool like Cinema Studio 3.0 takes it up a notch, and let's you direct your own films, with the exact characters, locations, and stories you're been aching to craft. Test yourself the most powerful video tool out now, at up to 70% off. Cinematic reasoning & Ultimate realism. No more broken physics. Character consistency at it's best. Faster and higher quality than other models on the market. Other platforms don't come near to the convenience of it.
1:14

Pretty crazy what a single person can do nowadays by sitting down on their computer. A tool like Cinema Studio 3.0 takes it up a notch, and let's you direct your own films, with the exact characters, locations, and stories you're been aching to craft. Test yourself the most powerful video tool out now, at up to 70% off. Cinematic reasoning & Ultimate realism. No more broken physics. Character consistency at it's best. Faster and higher quality than other models on the market. Other platforms don't come near to the convenience of it.

P̶a̶i̶n̶

13,554 просмотров • 4 месяцев назад

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.
0:38

Apple is no longer hiding it. These machines are built for local AI. Apple unveiled the new Mac Mini with M6 their first 2nm chip. Starting at $899. What you can run on the $899 Mac Mini (32GB) 👇 → Qwen 3.6 27B : fits comfortably, near-GPT-4 quality → Qwen 3 Coder 32B : full coding assistant on your desk → Llama 4 8B at full precision → DeepSeek R1 32B for reasoning tasks → 13.5x faster LLM processing than M1. 4x faster than M4. What you can run on the Mac Studio with M5 Ultra (512GB) 👇 → Llama 4 70B at high quality quantization → DeepSeek V4 with hundreds of billions of parameters → Frontier-scale models entirely in local memory → Connect four Mac Studios over Thunderbolt 5 cluster them to run trillion-parameter models locally Apple said their Mac business grew 30% last quarter largely because people are buying these to run AI models on their own desks instead of paying for cloud tokens. The future of inference is local. Apple built the hardware for it.

Vaibhav Sisinty

504,858 просмотров • 4 дней назад