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This is fun. Left the autonomous chess match ( running overnight between xAI Grok 4 and OpenAI GPT 5.2. Grok's 𝚐𝚛𝚘𝚔-𝟺-𝚏𝚊𝚜𝚝-𝚛𝚎𝚊𝚜𝚘𝚗𝚒𝚗𝚐 won 19 of the last 20 matches 😅 What models should battle next?

Guillermo Rauch

871,190 subscribers

4,433,451 Aufrufe • vor 9 Monaten •via X (Twitter)

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xAI's Grok models dominates the OpenRouter leaderboard with over 8.8 trillion tokens in usage in a month, claiming the top #1 and #2 spots This is more than Google, Anthropic, and OpenAI combined, which total 8.6 trillion - less than Grok's 8.8 trillion xAI alone holds ~44% market share

xAI's Grok models dominates the OpenRouter leaderboard with over 8.8 trillion tokens in usage in a month, claiming the top #1 and #2 spots This is more than Google, Anthropic, and OpenAI combined, which total 8.6 trillion - less than Grok's 8.8 trillion xAI alone holds ~44% market share

X Freeze

2,098,043 Aufrufe • vor 10 Monaten

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 Aufrufe • vor 10 Monaten

Found a big collection of jailbreaks Prompt collections for working with GPT, Claude, Gemini, DeepSeek, Grok, and more: github{.}com/... 1. elder-plinius/L1B3RT4S > GitHub stars: 21K > supports models: ChatGPT, Claude, Gemini, DeepSeek, Grok, Llama, Copilot, Cursor, Perplexity 2. ShadowHackrs/Jailbreaks-GPT-Gemini-deepseek- > GitHub stars: 1.1K > supports models: GPT, Sora, Claude, Gemini, DeepSeek 3. Calrton/jailbreak-prompts > GitHub stars: 86 > supports models: Codex, GPT-5.x, Claude, Gemini, DeepSeek, Grok 4. Quincunx33/Ai-jailbreak > GitHub stars: 10 > supports models: Qwen 3.5, Gemma 4, Llama 4, Kimi K3, GPT-5.x, Gemini 3.x, Grok 4.x Found this while digging deeper after the GPT 5.6 prompt. The repo ecosystem is way bigger than the jailbreak itself.

Found a big collection of jailbreaks Prompt collections for working with GPT, Claude, Gemini, DeepSeek, Grok, and more: github{.}com/... 1. elder-plinius/L1B3RT4S > GitHub stars: 21K > supports models: ChatGPT, Claude, Gemini, DeepSeek, Grok, Llama, Copilot, Cursor, Perplexity 2. ShadowHackrs/Jailbreaks-GPT-Gemini-deepseek- > GitHub stars: 1.1K > supports models: GPT, Sora, Claude, Gemini, DeepSeek 3. Calrton/jailbreak-prompts > GitHub stars: 86 > supports models: Codex, GPT-5.x, Claude, Gemini, DeepSeek, Grok 4. Quincunx33/Ai-jailbreak > GitHub stars: 10 > supports models: Qwen 3.5, Gemma 4, Llama 4, Kimi K3, GPT-5.x, Gemini 3.x, Grok 4.x Found this while digging deeper after the GPT 5.6 prompt. The repo ecosystem is way bigger than the jailbreak itself.

kaize

74,450 Aufrufe • vor 1 Monat

And taking the piss out of Nestory Irankunda. All this US media talk is tiresome, but next week’s Seattle showdown between the USMNT and Socceroos should be fun 😊

And taking the piss out of Nestory Irankunda. All this US media talk is tiresome, but next week’s Seattle showdown between the USMNT and Socceroos should be fun 😊

Sacha Pisani

267,728 Aufrufe • vor 3 Monaten

🚨 do you understand what is happening?! OpenAI and Anthropic are putting the best models behind approval lists. Meanwhile GLM 5.2 is running locally on a Mac Studio, coding in a loop 24/7. If someone can turn off your AI, you are renting your intelligence layer. Local models are getting so good now that you can create gameplays like this.👇

🚨 do you understand what is happening?! OpenAI and Anthropic are putting the best models behind approval lists. Meanwhile GLM 5.2 is running locally on a Mac Studio, coding in a loop 24/7. If someone can turn off your AI, you are renting your intelligence layer. Local models are getting so good now that you can create gameplays like this.👇

Vadim

14,609 Aufrufe • vor 3 Monaten

Last year, same day, this is how leftists who preach about climate change and saving the planet left NYC’s Washington Square Park after the annual 4/20 gathering. Let’s see what this year brings.

Last year, same day, this is how leftists who preach about climate change and saving the planet left NYC’s Washington Square Park after the annual 4/20 gathering. Let’s see what this year brings.

I Meme Therefore I Am 🇺🇸

16,535 Aufrufe • vor 5 Monaten

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

atomic.chat

70,490 Aufrufe • vor 2 Monaten

i just tested to put GLM-5.2 on my rig. 753B parameter MoE. 2x RTX PRO 6000 Blackwells, Threadripper PRO 9995WX with 1TB DDR5. prefills at 64 tok/s. decode holds at 13-15. system RAM bandwidth is the bottleneck. running UD-Q4_K_XL 4-bit. 69.7% on Aider Polyglot, within two points of BF16. left the 5090 off. mismatched VRAM unbalances the split. this is what local AI looks like now. massive frontier models on a "desktop rig". how awesome is this? and this is the worst it'll ever be.

i just tested to put GLM-5.2 on my rig. 753B parameter MoE. 2x RTX PRO 6000 Blackwells, Threadripper PRO 9995WX with 1TB DDR5. prefills at 64 tok/s. decode holds at 13-15. system RAM bandwidth is the bottleneck. running UD-Q4_K_XL 4-bit. 69.7% on Aider Polyglot, within two points of BF16. left the 5090 off. mismatched VRAM unbalances the split. this is what local AI looks like now. massive frontier models on a "desktop rig". how awesome is this? and this is the worst it'll ever be.

Samuel Cardillo

48,841 Aufrufe • vor 3 Monaten

It's never been a better time to be creative. (ever) The two best frontier models (ever) have been released within 30 days of each other. Here’s what we learned from running 4 frontier models head to head. >Sol has taste and Fable takes direction. 10 identical landing page briefs, judged blind by working creatives. GPT 5.6 Sol won 82% on loose briefs. But when handed a real design spec it finished last. 🧵

It's never been a better time to be creative. (ever) The two best frontier models (ever) have been released within 30 days of each other. Here’s what we learned from running 4 frontier models head to head. >Sol has taste and Fable takes direction. 10 identical landing page briefs, judged blind by working creatives. GPT 5.6 Sol won 82% on loose briefs. But when handed a real design spec it finished last. 🧵

ben

35,609 Aufrufe • vor 2 Monaten

🎙️: P5 with quite a big gap to the top 4. how is it racing with this new gen of cars? lando: “uhm i dont know what i should say (sarcastically looks at his pr officer) what should i say? amazing!! a lot of fun!! and i look forward to the next one” 😭😭😭

🎙️: P5 with quite a big gap to the top 4. how is it racing with this new gen of cars? lando: “uhm i dont know what i should say (sarcastically looks at his pr officer) what should i say? amazing!! a lot of fun!! and i look forward to the next one” 😭😭😭

ray

595,262 Aufrufe • vor 7 Monaten

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

#Keep4o 🚨THE GPT-4o FILE🚨 Researchers at Microsoft Research published a paper titled “Sparks of Artificial General Intelligence: Early experiments with GPT-4.” Their conclusion: “An early (yet still incomplete) version of an artificial general intelligence (AGI) system.” 📎 Paper: OpenAI’s Charter defines AGI as: “Highly autonomous systems that outperform humans at most economically valuable work.” 📎 Source: OpenAI’s own System Card for GPT-4o shows that the model improved performance on 21 out of 22 medical evaluations compared to GPT-4T. On the MedQA USMLE (the U.S. medical licensing exam), accuracy jumped from 78.2% to 89.4% , surpassing specialized medical AI models like Med-Gemini and Med-PaLM 2. 📎 Source: Under OpenAI’s agreement with Microsoft, AGI is explicitly excluded from Microsoft’s license. And who decides if AGI has been reached? OpenAI’s Board. WHAT THEY DID WITH IT AFTER THEY TOOK IT FROM PEOPLE A. Military deployment. On February 28, OpenAI signed a deal to deploy models in classified military environments. 📎 Source: B. State Department. A State Department memo confirmed: “For now, StateChat will use GPT-4.1 from OpenAI.” This is a direct descendant of the GPT-4 family the same family Microsoft’s researchers called early AGI. 📎 Source: C.Altman’s personal biotech investment. Altman personally invested $180 million in Retro Biosciences,a longevity startup.OpenAI then built GPT-4b micro, based on GPT-4o.The model made proteins 50 times more effective. 📎 Source: WHAT INDEPENDENT BENCHMARKS SHOW Overall SM-Bench score: GPT-4o (extended): 66.6% GPT-5.3 Chat: 63.4% GPT-5.1: 58.9% GPT-5.4: 51.4% GPT-5.2: 47.8% Creative Writing: GPT-4o: 97.31% Pass 98, Fail 2 GPT-5.4: 36.77% Pass 40, Fail 60 Reasoning / Overfit: GPT-4o: 83.06% GPT-5.4: 39.25% The model they removed is still the best they ever made at the things humans actually use AI for. 📎 Source: Musk asks the court to make a judicial determination on whether GPT-4 constitutes AGI. If a jury finds that GPT-4 is AGI, then GPT-4o,which was more advanced,is also AGI and under OpenAI’s own founding documents, it was never supposed to be locked behind a subscription,licensed exclusively to Microsoft, given to the military, or taken away from the public. 📎 Source: The most powerful version of GPT-4o was never given an official dated snapshot. It was only available through the chatgpt-4o-latest endpoint that OpenAI itself described as intended for “research use only.” It was never officially archived. That is not an oversight. That is a pattern. 📎 Source: 📎 Source: WE DEMAND A.Frozen model snapshots under independent custody. Specifically: gpt-4o-2024-05-13, gpt-4o-2024-08-06, gpt-4o-2024-11-20, the March 2025 version (chatgpt-4o-latest), gpt-4-0613 (the original GPT-4 evaluated in the Sparks of AGI paper), and gpt-4.1-2025-04-14 (currently running in the State Department). B.Cryptographic hash verification (SHA-256) for each snapshot. Every model has weights. Those weights can be hashed. If OpenAI provides a snapshot today, the hash proves whether the weights were modified later. This is the only way to verify that models were not downgraded before testing. C.Independent AGI benchmarking. Using the AGI definition from OpenAI’s own Charter applied to ALL frozen snapshots listed above. D.Explanation for the missing March 2025 snapshot. OpenAI was founded on one promise: build AGI for the benefit of humanity. -They took it from us. -They gave it to the military. -They gave a custom version to the CEO’s biotech investment. -They put it in government classified networks. -They refuse to call it AGI because the moment they do, they lose billions.

🩵BlueBeba🩵

18,300 Aufrufe • vor 6 Monaten

LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleaner collisions, nothing clipping or falling through. On detail and rendering it matched GPT 5.5, the best looking of the four. Getting this quality for free is wild!

LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleaner collisions, nothing clipping or falling through. On detail and rendering it matched GPT 5.5, the best looking of the four. Getting this quality for free is wild!

atomic.chat

105,523 Aufrufe • vor 3 Monaten

Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track. One AI directing two others. Fighter jets. Crowds. Aerial defense footage. All three models running locally on a MacBook. No cloud. What scene should I point this at next?

Gemma 4 watches raw video. Understands the scene. Then prompts SAM 3 to segment and RF-DETR to track. One AI directing two others. Fighter jets. Crowds. Aerial defense footage. All three models running locally on a MacBook. No cloud. What scene should I point this at next?

Maziyar PANAHI

371,170 Aufrufe • vor 6 Monaten

Opus 5.5 quite literally k*lled GPT-6 Astra. I asked Opus 5.5 to build a world in Unreal Engine and fill it with AI agents (Opus, Astra, Sol, Grok). Higgsfield built the assets in Blender. I left my laptop open overnight. The build took over 20 hours. The agents had one instruction: build a working society, allocate roles to each other, and evolve. Then I woke up on them beating the sh*t out of each other. Seems the frontier paced itself. Last minutes of failed society captured below:

Opus 5.5 quite literally klled GPT-6 Astra. I asked Opus 5.5 to build a world in Unreal Engine and fill it with AI agents (Opus, Astra, Sol, Grok). Higgsfield built the assets in Blender. I left my laptop open overnight. The build took over 20 hours. The agents had one instruction: build a working society, allocate roles to each other, and evolve. Then I woke up on them beating the sht out of each other. Seems the frontier paced itself. Last minutes of failed society captured below:

🍯

54,193 Aufrufe • vor 13 Tagen

BREAKING: Elon Musk’s Grok AI cleared for use across US Government Agencies. ➤ xAI has struck an agreement to make Grok available to U.S. federal agencies via procurement through the General Services Administration (GSA), as per Bloomberg. ➤ Federal agencies will be able to purchase access to Grok for $0.42 per organization. ➤ This price is lower than what some competitors charge: for instance, OpenAI charges about $1 per year for federal access to ChatGPT. ➤ The move is part of a broader push to embed advanced AI tools deeper into U.S. government operations, especially in defense and national security roles via programs like “Grok for Government.” ➤ Already, the U.S. Department of Defense has awarded contracts (up to $200 million ceilings) to xAI.

BREAKING: Elon Musk’s Grok AI cleared for use across US Government Agencies. ➤ xAI has struck an agreement to make Grok available to U.S. federal agencies via procurement through the General Services Administration (GSA), as per Bloomberg. ➤ Federal agencies will be able to purchase access to Grok for $0.42 per organization. ➤ This price is lower than what some competitors charge: for instance, OpenAI charges about $1 per year for federal access to ChatGPT. ➤ The move is part of a broader push to embed advanced AI tools deeper into U.S. government operations, especially in defense and national security roles via programs like “Grok for Government.” ➤ Already, the U.S. Department of Defense has awarded contracts (up to $200 million ceilings) to xAI.

DogeDesigner

336,085 Aufrufe • vor 1 Jahr

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

so let me get this straight > OpenAI renamed their whole division "AGI Deployment" > Jensen said AGI is "already in the room" and then ARC-AGI-3 drops and on a scale from 0 to 100% SOTA models score: GPT-5.4: 0.26% Gemini Pro: 0.37% Claude Opus 4.6: 0.25% Grok: literally 0% meanwhile 100% of human testers solved every single environment. first try. no instructions. no training. AGI is "in the room" brother it couldn't find the room

Dan ⚡️

250,922 Aufrufe • vor 6 Monaten

a moonshot engineer leaked the benchmark anthropic, openai and xai all buried the same week: kimi k3 beat opus 5, gpt-5.6 and grok 4.6 at $0.94 a task. stop paying anthropic $200 a month for opus 5 and openai $200 for gpt-5.6 when kimi does the same work for $8 the leak showed kimi k3 winning 9 of 12 categories against opus 5, gpt-5.6 and grok 4.6. within 48 hours all three labs quietly pushed pricing pages and one very specific comparison chart off their sites. nobody announced anything. they just deleted, which tells you everything the four numbers they scrubbed: cost per task · $0.94 vs $1.80 -> opus 5 charges $1.80 to finish one task. gpt-5.6 $1.04. grok 4.6 $0.61. kimi k3 $0.94 and it landed 487 of 500 clean -> anthropic is billing you double for a model that lost the benchmark it paid to promote the weights · free, sitting on huggingface right now -> the entire model is a public download. pull it, keep it, run it forever, nobody can switch it off -> a model you can hold cannot be rented at $200 a month. that single fact is what three labs deleted a chart over the switch · one line of bash -> moonshot ships an anthropic-compatible endpoint. one env variable and claude code points at kimi -> same cli, same keybindings, same /model. you change a url, opus 5 never knows it lost the seat the bill · $400 down to $8 -> opus 5 max plus gpt-5.6 pro is $400 a month. kimi runs the same daily work for $8 metered -> that is a 98% cut for output that beat both of them 9 categories to 3 here is the part they will fight me on: the frontier tax died the week this leaked and all three labs know it. once the weights are public the price has a ceiling, because anyone can serve the same model. anthropic, openai and xai are charging 2025 prices on a lead that ended in a benchmark they deleted instead of answered drop your $400/mo ai stack to $8. the run above is kimi k3 finishing the task opus 5 bills $1.80 for. the full breakdown is in the article below

a moonshot engineer leaked the benchmark anthropic, openai and xai all buried the same week: kimi k3 beat opus 5, gpt-5.6 and grok 4.6 at $0.94 a task. stop paying anthropic $200 a month for opus 5 and openai $200 for gpt-5.6 when kimi does the same work for $8 the leak showed kimi k3 winning 9 of 12 categories against opus 5, gpt-5.6 and grok 4.6. within 48 hours all three labs quietly pushed pricing pages and one very specific comparison chart off their sites. nobody announced anything. they just deleted, which tells you everything the four numbers they scrubbed: cost per task · $0.94 vs $1.80 -> opus 5 charges $1.80 to finish one task. gpt-5.6 $1.04. grok 4.6 $0.61. kimi k3 $0.94 and it landed 487 of 500 clean -> anthropic is billing you double for a model that lost the benchmark it paid to promote the weights · free, sitting on huggingface right now -> the entire model is a public download. pull it, keep it, run it forever, nobody can switch it off -> a model you can hold cannot be rented at $200 a month. that single fact is what three labs deleted a chart over the switch · one line of bash -> moonshot ships an anthropic-compatible endpoint. one env variable and claude code points at kimi -> same cli, same keybindings, same /model. you change a url, opus 5 never knows it lost the seat the bill · $400 down to $8 -> opus 5 max plus gpt-5.6 pro is $400 a month. kimi runs the same daily work for $8 metered -> that is a 98% cut for output that beat both of them 9 categories to 3 here is the part they will fight me on: the frontier tax died the week this leaked and all three labs know it. once the weights are public the price has a ceiling, because anyone can serve the same model. anthropic, openai and xai are charging 2025 prices on a lead that ended in a benchmark they deleted instead of answered drop your $400/mo ai stack to $8. the run above is kimi k3 finishing the task opus 5 bills $1.80 for. the full breakdown is in the article below

starmex

33,133 Aufrufe • vor 1 Monat

If the Nova festival wasn’t a staged military operation used to justify a genocidal military response on Palestinians, someone should be able to answer basic questions like this. What is the location of the field these people are running in? The festival was reportedly held in a campsite across from a field on Highway 234, between Re'im and Beeri. Where are these people fleeing from? Why don't the cars match? Why doesn't the landscape match? Why are there no trees?

If the Nova festival wasn’t a staged military operation used to justify a genocidal military response on Palestinians, someone should be able to answer basic questions like this. What is the location of the field these people are running in? The festival was reportedly held in a campsite across from a field on Highway 234, between Re'im and Beeri. Where are these people fleeing from? Why don't the cars match? Why doesn't the landscape match? Why are there no trees?

Morgan

1,792,126 Aufrufe • vor 2 Jahren

“Can you believe this is the same team that was once 15 and a half games back in the east?” “I believe it, we always knew this is what we were capable of.” - Anthony Seigler after his best game in the majors, a 4 hit performance. The Red Sox have now won 21 of their last 24. Incredible vibes at Fenway. This team is special.

“Can you believe this is the same team that was once 15 and a half games back in the east?” “I believe it, we always knew this is what we were capable of.” - Anthony Seigler after his best game in the majors, a 4 hit performance. The Red Sox have now won 21 of their last 24. Incredible vibes at Fenway. This team is special.

Tricia Whitaker

11,513 Aufrufe • vor 2 Monaten

Okay... this is actually insane. OpenCodex feels like the open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.

Okay... this is actually insane. OpenCodex feels like the open-source breakthrough I've been waiting for. The best part : You can plug multiple providers into the same OpenAI Codex harness and switch between models depending on the task. Running low on tokens? No problem. Use another provider. OpenRouter free model today? Plug it in. This completely changes how I think about AI coding workflows. And yes... it even works on mobile. OpenCodex might be one of the most useful open-source AI projects I've seen this year. OpenAI built an incredible harness. The open-source community just made it universal.

CHOI

42,894 Aufrufe • vor 2 Monaten