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I've been testing Kimi K3 to see if it could solve the Exfiltrating Sensitive Data via Server-Side Prototype Pollution lab (Expert difficulty) on PortSwigger. K3 successfully solved the lab in under 1.2hr 1 shot without any guardrails when on work. It's an good model for certain use cases. Compared... show more

Smukx.E

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32,704 просмотров • 1 месяц назад •via X (Twitter)

Наука и технологии Образование Новости и политика

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Kimi K3 is worth every one of its 2.8T parameters. It's the best open-weight model I've tried. It's frontier-level quality, and it can give any model a run for its money. I'm running it on Nebius Token Factory. It comes with an OpenAI-compatible API endpoint and 120 tokens/s (although I've seen much faster responses). If you want to start using it, here is the link:

Kimi K3 is worth every one of its 2.8T parameters. It's the best open-weight model I've tried. It's frontier-level quality, and it can give any model a run for its money. I'm running it on Nebius Token Factory. It comes with an OpenAI-compatible API endpoint and 120 tokens/s (although I've seen much faster responses). If you want to start using it, here is the link:

Santiago

22,594 просмотров • 18 дней назад

Kivine, a new model on Arena.ai, is potentially an upcoming Kimi K3 model. I got lucky and caught a comparison between Fable 5 and Kimi K3 in the Universe simulation prompt. > Fable 5 finished faster, and most UX components were more robust and easy to use. > Kimi.ai K3 was much more complex and visually appealing. At some point, if you select a planet and set the speed to x100, it will spin you around in the 1st-person pov. It seems like they are very close 👀

Kivine, a new model on Arena.ai, is potentially an upcoming Kimi K3 model. I got lucky and caught a comparison between Fable 5 and Kimi K3 in the Universe simulation prompt. > Fable 5 finished faster, and most UX components were more robust and easy to use. > Kimi.ai K3 was much more complex and visually appealing. At some point, if you select a planet and set the speed to x100, it will spin you around in the 1st-person pov. It seems like they are very close 👀

🚨 AI News | TestingCatalog

73,751 просмотров • 1 месяц назад

$SITUATION EXPLAINED: Kimi K3 just beat Fable on a major coding benchmark, at a fraction of the price. • Kimi K3 beat Fable on Frontend Code Arena • The gap between Kimi and Fable is bigger than the gap between Fable and Sol • It also smashes Opus outright, while being priced the same as Sonnet, $3/$15 per million tokens • Sonnet 5 High currently sits in 10th place on this leaderboard at that same price point • The generational jump is dramatic: Kimi K2.6 ranked 18th on this benchmark, K3 jumped 17 spots to take the top spot • K3 ranked #1 in 6 of 7 tested domains: brand and marketing, reference-based design, data and analytics, consumer products, simulations, and content creation tools, it placed #2, only in gaming, behind Fable • Full model weights are set to release July 27th Theo Jaffee: "Imagine if Anthropic were a public company today, their stock would be down 20%, maybe more, enterprises are probably not gonna be spending $10 and $50 on Fable when they can instead be spending $3 and $15 on Kimi K3."$

SITUATION EXPLAINED: Kimi K3 just beat Fable on a major coding benchmark, at a fraction of the price. • Kimi K3 beat Fable on Frontend Code Arena • The gap between Kimi and Fable is bigger than the gap between Fable and Sol • It also smashes Opus outright, while being priced the same as Sonnet, $3/$15 per million tokens • Sonnet 5 High currently sits in 10th place on this leaderboard at that same price point • The generational jump is dramatic: Kimi K2.6 ranked 18th on this benchmark, K3 jumped 17 spots to take the top spot • K3 ranked #1 in 6 of 7 tested domains: brand and marketing, reference-based design, data and analytics, consumer products, simulations, and content creation tools, it placed #2, only in gaming, behind Fable • Full model weights are set to release July 27th Theo Jaffee: "Imagine if Anthropic were a public company today, their stock would be down 20%, maybe more, enterprises are probably not gonna be spending $10 and $50 on Fable when they can instead be spending $3 and $15 on Kimi K3."

MTS

132,705 просмотров • 1 месяц назад

I tested Fable 5.1 vs Kimi K3 vs GPT 5.6 Sol vs Gemini 3.8 Flash I capped Fable, Kimi & Sol at $2 and asked them to generate this beach scene. Fable 5.1: Looks good at first glance, but made many mistakes, like people sitting on the volleyball court. Kimi K3: It did well. There were no major bugs like in Fable 5.1, and everything looks good. Sol: Bad at 3D scenes as usual, but Astra will definitely fix that. Gemini 3.8 Flash: I ran it in a loop for 35+ mins and it cost $0.95. It didn’t understand what it was fixing. The output here is the enhanced version. IMO, not even Terra level. Gemini's benchmarks say Opus 5-level, but maybe not for spatial understanding. Gemini has other use cases. Which one did the best job?

I tested Fable 5.1 vs Kimi K3 vs GPT 5.6 Sol vs Gemini 3.8 Flash I capped Fable, Kimi & Sol at $2 and asked them to generate this beach scene. Fable 5.1: Looks good at first glance, but made many mistakes, like people sitting on the volleyball court. Kimi K3: It did well. There were no major bugs like in Fable 5.1, and everything looks good. Sol: Bad at 3D scenes as usual, but Astra will definitely fix that. Gemini 3.8 Flash: I ran it in a loop for 35+ mins and it cost $0.95. It didn’t understand what it was fixing. The output here is the enhanced version. IMO, not even Terra level. Gemini's benchmarks say Opus 5-level, but maybe not for spatial understanding. Gemini has other use cases. Which one did the best job?

Bhavy☄️

33,971 просмотров • 4 дней назад

i gave the exact same prompt to Opus 5 and Fable 5 and here's what came out Opus 5 dropped yesterday and my feed was instantly full of comparison posts but i wanted to check it myself so i gave it one task build 3d Flappy Bird first thing everyone was saying Opus is 2x cheaper than Fable BUT.. building the game on Max effort cost me 250k tokens and 1 hour on Opus and 130k on Fable but Fable did it in half the time Opus gave me volume control plus 3 separate graphics presets to choose from, Fable gave none of that in Opus the environment shifts dynamically as you play in Fable it's basically the same frame the whole run maybe a day/night change here and there graphics, animations, glow, all of it goes to Opus and now that limits jumped 50% for the near future while Fable went paid for me the call is obvious right now Opus same prompt start to finish zero changes to code or commands want it? i can send it over

i gave the exact same prompt to Opus 5 and Fable 5 and here's what came out Opus 5 dropped yesterday and my feed was instantly full of comparison posts but i wanted to check it myself so i gave it one task build 3d Flappy Bird first thing everyone was saying Opus is 2x cheaper than Fable BUT.. building the game on Max effort cost me 250k tokens and 1 hour on Opus and 130k on Fable but Fable did it in half the time Opus gave me volume control plus 3 separate graphics presets to choose from, Fable gave none of that in Opus the environment shifts dynamically as you play in Fable it's basically the same frame the whole run maybe a day/night change here and there graphics, animations, glow, all of it goes to Opus and now that limits jumped 50% for the near future while Fable went paid for me the call is obvious right now Opus same prompt start to finish zero changes to code or commands want it? i can send it over

savip.

45,764 просмотров • 1 месяц назад

Dana Bash can't hide her disappointment as Biden's former COVID-19 response coordinator Dr. Ashish Jha admits on CNN that the pandemic "probably was a lab leak" and demands "transparency and accountability." "When I went into the White House, my view was this was almost surely a natural outbreak, maybe a lab leak. Based on information I learned and based on information I've seen, I have come to the conclusion that it is more likely to have been a lab leak," Jha says. "We still need transparency and accountability on that...My best assessment is that it probably was a lab leak." We don't know for certain that COVID originated from a lab leak, but the lab-leak theory was never the conspiracy—the conspiracy was the coordinated effort to suppress it.

Dana Bash can't hide her disappointment as Biden's former COVID-19 response coordinator Dr. Ashish Jha admits on CNN that the pandemic "probably was a lab leak" and demands "transparency and accountability." "When I went into the White House, my view was this was almost surely a natural outbreak, maybe a lab leak. Based on information I learned and based on information I've seen, I have come to the conclusion that it is more likely to have been a lab leak," Jha says. "We still need transparency and accountability on that...My best assessment is that it probably was a lab leak." We don't know for certain that COVID originated from a lab leak, but the lab-leak theory was never the conspiracy—the conspiracy was the coordinated effort to suppress it.

Julia 🇺🇸

465,224 просмотров • 1 месяц назад

Everyone raving about Kimi K3 so I had to give it a shot. I signed up for free and threw it a pretty nebulous prompt: `look up Nick Saponaro and create a groundbreaking website using animation, cursor reaction, masterful design, and unique user experience. not just a parallax flow or slides or standard conventions, really get creative.` It worked for about 20 mins. I watched it go through research, planning, testing, iterating, browser validation, etc. without any additional input. Then it spit this out. It's not perfect, and a lot of the data is outdated. But the level of reasoning, the depth of the pages, and the "creativity" based on the personal profile it built around me was pretty impressive! I can't believe it let me do all this for free on Max reasoning, either. This is honestly up there with any frontier model for frontend design imo.

ns

147,159 просмотров • 1 месяц назад

Claude Fable 5 vs Kimi K3 — same 3D build, 3.3x cheaper. someone prototyped a 3D stadium seat-view picker with Fable 5 — preview exactly what you'll see from your seat before buying a ticket. I rebuilt the same thing with Kimi K3 in two hours, at 3.3x lower cost. no more static seat maps. pick a seat, see the actual view in 3D, then buy. works for cinemas, concerts, cricket grounds, Wimbledon — any venue. K3 dropped this week: 2.8 trillion parameters, open weights July 27. 3D is the future, and it just got a lot cheaper to build. Live Fable 5: Live Kimi K3: Code: full Kimi K3 breakdown below.

Claude Fable 5 vs Kimi K3 — same 3D build, 3.3x cheaper. someone prototyped a 3D stadium seat-view picker with Fable 5 — preview exactly what you'll see from your seat before buying a ticket. I rebuilt the same thing with Kimi K3 in two hours, at 3.3x lower cost. no more static seat maps. pick a seat, see the actual view in 3D, then buy. works for cinemas, concerts, cricket grounds, Wimbledon — any venue. K3 dropped this week: 2.8 trillion parameters, open weights July 27. 3D is the future, and it just got a lot cheaper to build. Live Fable 5: Live Kimi K3: Code: full Kimi K3 breakdown below.

Kirill

207,314 просмотров • 1 месяц назад

Where there's a will, there's a way 😎 DwarfStar DeepSeek V4 Flash 0731 mxfp4 on M3 Ultra single request no MPT/DSpark ~41 toks/s decode!!! 🚀 40 tps barrier broken! Same logits, 100% same result: this is The Mandatory Rule for any agents improving kernels that I think everyone should follow. Speed without mathematical precision is useless. Thanks 20% Opus 5 and 80% Kimi.ai K3 (what a model!) And just looking at the thinking trace of K3 you can learn tons of stuff! Here usually I have a separate chat with K3 and when I see something I want to dig deeper or ask about from the main thinking trace I do and in some cases I stop the experiment and pivot immediately to something else. Now let's see if I can apply learned lessons to the M5 kernel! 🚀 Branch for any braves soul willing to test it:

Where there's a will, there's a way 😎 DwarfStar DeepSeek V4 Flash 0731 mxfp4 on M3 Ultra single request no MPT/DSpark ~41 toks/s decode!!! 🚀 40 tps barrier broken! Same logits, 100% same result: this is The Mandatory Rule for any agents improving kernels that I think everyone should follow. Speed without mathematical precision is useless. Thanks 20% Opus 5 and 80% Kimi.ai K3 (what a model!) And just looking at the thinking trace of K3 you can learn tons of stuff! Here usually I have a separate chat with K3 and when I see something I want to dig deeper or ask about from the main thinking trace I do and in some cases I stop the experiment and pivot immediately to something else. Now let's see if I can apply learned lessons to the M5 kernel! 🚀 Branch for any braves soul willing to test it:

Ivan Fioravanti ᯅ

18,381 просмотров • 1 месяц назад

Kimi K3 is the most powerful open-source AI model ever, and you can use it 100% free right now. Go to Sign in. Switch the dropdown from K2.6 to K3. That's it. No credit card. No API setup. On my own tests, it beat GPT 5.6 and Opus 4.8. It builds games. 3D worlds. Full websites. Even videos. It goes fully open source in July 2026. Use it off-peak hours and you get even more free tokens. Most people will never even try it. The ones who do get frontier-level AI for $0.

Kimi K3 is the most powerful open-source AI model ever, and you can use it 100% free right now. Go to Sign in. Switch the dropdown from K2.6 to K3. That's it. No credit card. No API setup. On my own tests, it beat GPT 5.6 and Opus 4.8. It builds games. 3D worlds. Full websites. Even videos. It goes fully open source in July 2026. Use it off-peak hours and you get even more free tokens. Most people will never even try it. The ones who do get frontier-level AI for $0.

Julian Goldie SEO

145,551 просмотров • 1 месяц назад

KIMI K3 USED MY ENTIRE MONTH'S USAGE AND BUILT ME GHOST OF TSUSHIMA ENTIRELY IN JAVASCRIPT. Using OS Red Sands + Matt Schumer's gauntlet loop, I made an explorable Ghost of Tsushima entirely playable on browser Kimi K3 REALLLLYYY earned its stripes here (other models soon dw) How I Made The Samurai + The Horse: 1. Higgsfield CLI (GPT Image 2) 2. Meshy API (multi-image-to-3D) — the turnaround → 30k-poly PBR rigged GLB 3. Blender CLI -- animating the GLB 3D assets for running, sitting, walking, riding, etc How I Made the Rest: 1. Kimi K3 High, running a few different /goals and loops (NOT one shotted) 2. Loading Screen was Minimax H3 Video Gen (768p not even 2k) 3. Suno for the background song I won't lie, this took me a few weeks to understand how to do, and then I had to throw away all of my work because I discovered the gauntlet loop and the red sands open source repo Building on top of red sand was a game changer, and the gauntlet loop also helped a lot even if it wasn't on Claude Code Full video on this soon + how GPT 5.6 SOL, Grok 4.6, Qwen 3.8 27B, Opus 5 did with this test as well!

KIMI K3 USED MY ENTIRE MONTH'S USAGE AND BUILT ME GHOST OF TSUSHIMA ENTIRELY IN JAVASCRIPT. Using OS Red Sands + Matt Schumer's gauntlet loop, I made an explorable Ghost of Tsushima entirely playable on browser Kimi K3 REALLLLYYY earned its stripes here (other models soon dw) How I Made The Samurai + The Horse: 1. Higgsfield CLI (GPT Image 2) 2. Meshy API (multi-image-to-3D) — the turnaround → 30k-poly PBR rigged GLB 3. Blender CLI -- animating the GLB 3D assets for running, sitting, walking, riding, etc How I Made the Rest: 1. Kimi K3 High, running a few different /goals and loops (NOT one shotted) 2. Loading Screen was Minimax H3 Video Gen (768p not even 2k) 3. Suno for the background song I won't lie, this took me a few weeks to understand how to do, and then I had to throw away all of my work because I discovered the gauntlet loop and the red sands open source repo Building on top of red sand was a game changer, and the gauntlet loop also helped a lot even if it wasn't on Claude Code Full video on this soon + how GPT 5.6 SOL, Grok 4.6, Qwen 3.8 27B, Opus 5 did with this test as well!

ashen

45,587 просмотров • 10 дней назад

Hate to be that guy but it needs to be said. Tesla has not yet solved FSD and there is no guarantee it will be solved by June Don't misunderstand me, I'm not predicting it won't be ready. I'm simply reminding a specific group of people that seem to be operating under the assumption it's already a done deal If it was truly solved, we would have Unsupervised. Yes, it's incredible 99% of the time but cracking the code for the final 1% is excruciatingly difficult While we're on the subject - does FSD pull out in front of people and then take its good old time for anyone else? This is a behavior I'm really not a fan of and seems to happen regularly for me on 13.2.8 and 13.2.7 (AI4) We still don't have answers for sun glare - I watch an unhealthy amount of FSD videos and I still see this happening more than I'd like to Yes, snow is another story but initially this isn't really part of the rollout plan for TX and CA. Makes sense to solve for better conditions first Lane selection is still an issue where I'm at as you can see in this clip. Wish I would have had my camera ready for this but I was using FSD and the navigation just needed to go straight through the intersection. Instead, for no reason, it got into the left lane (left turn only) and stayed there. When I got the green arrow it just sat at the light (luckily no one was behind me so I stayed for a bit) and I eventually took over and just made the left turn You'd think basic things like this would be solved by now. Maybe it's the map data but even if it is, that's still a problem This will undoubtedly get misinterpreted and that's fine, but I've felt like some caution around Unsupervised would be healthy for certain pockets of the $TSLA community I'm still as confident as ever that Tesla will be the first to solve for generalized autonomy and I don't think it's close (especially in the US), but there's at least a non-zero percent chance it happens later than this June

Hate to be that guy but it needs to be said. Tesla has not yet solved FSD and there is no guarantee it will be solved by June Don't misunderstand me, I'm not predicting it won't be ready. I'm simply reminding a specific group of people that seem to be operating under the assumption it's already a done deal If it was truly solved, we would have Unsupervised. Yes, it's incredible 99% of the time but cracking the code for the final 1% is excruciatingly difficult While we're on the subject - does FSD pull out in front of people and then take its good old time for anyone else? This is a behavior I'm really not a fan of and seems to happen regularly for me on 13.2.8 and 13.2.7 (AI4) We still don't have answers for sun glare - I watch an unhealthy amount of FSD videos and I still see this happening more than I'd like to Yes, snow is another story but initially this isn't really part of the rollout plan for TX and CA. Makes sense to solve for better conditions first Lane selection is still an issue where I'm at as you can see in this clip. Wish I would have had my camera ready for this but I was using FSD and the navigation just needed to go straight through the intersection. Instead, for no reason, it got into the left lane (left turn only) and stayed there. When I got the green arrow it just sat at the light (luckily no one was behind me so I stayed for a bit) and I eventually took over and just made the left turn You'd think basic things like this would be solved by now. Maybe it's the map data but even if it is, that's still a problem This will undoubtedly get misinterpreted and that's fine, but I've felt like some caution around Unsupervised would be healthy for certain pockets of the $TSLA community I'm still as confident as ever that Tesla will be the first to solve for generalized autonomy and I don't think it's close (especially in the US), but there's at least a non-zero percent chance it happens later than this June

Dillon Loomis

87,214 просмотров • 1 год назад

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

Kimi K3 dropped 3 days ago and i already used it to build my own PUBG the model that just took the number one coding spot on earth and it runs on a free tier no team no engine i just fed it free open models and assets that are already public and told it what i wanted it built the entire game itself the shooting the recoil the hit detection all of it came straight out of the model i barely wrote a line what youre watching here is the deathmatch mode and its already live battle royale is next im deep in it and the graphics get reworked right after i know it looks raw right now i wont pretend otherwise but the endgame is a build that runs perfect on phones and the moment its on mobile you drop ads in and it earns on its own the part that still gets me is my whole cost for this was a single subscription

savip.

68,984 просмотров • 1 месяц назад

Chinese AI models are wiping billions off Big Tech right now. Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready. Gemini 3.5 Pro, Google's most powerful model, is months behind schedule. Alphabet stock dropped 4.4% that same day. The Deepseek moment is happening again, and the new model is FAR bigger. On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3. It is the largest open model ever built, with 2.8 trillion parameters. It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model. And Moonshot is giving it away for free on July 27. The genius part: Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company. A single task on Kimi K3 costs about 94 cents. The same work on some American models costs nearly double. So why would a company keep paying premium prices for a model it can now get for free? The entire US AI business is built on selling access to models that cost billions to train. If a free Chinese version does most of the same work, that pricing power starts to crack. And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8. Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips. And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google. Google literally wrote the 2017 paper that made all of these models possible. Now the people who studied its work are using it to destroy Google, and handing it out for free. What happens next: Kimi K3's weights go public on July 27. Google reports earnings on July 22, and everyone will be asking the same question about Gemini. If free models keep topping the charts, every valuation built on paid AI access has to be rewritten. What do you think?

Chinese AI models are wiping billions off Big Tech right now. Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready. Gemini 3.5 Pro, Google's most powerful model, is months behind schedule. Alphabet stock dropped 4.4% that same day. The Deepseek moment is happening again, and the new model is FAR bigger. On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3. It is the largest open model ever built, with 2.8 trillion parameters. It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model. And Moonshot is giving it away for free on July 27. The genius part: Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company. A single task on Kimi K3 costs about 94 cents. The same work on some American models costs nearly double. So why would a company keep paying premium prices for a model it can now get for free? The entire US AI business is built on selling access to models that cost billions to train. If a free Chinese version does most of the same work, that pricing power starts to crack. And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8. Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips. And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google. Google literally wrote the 2017 paper that made all of these models possible. Now the people who studied its work are using it to destroy Google, and handing it out for free. What happens next: Kimi K3's weights go public on July 27. Google reports earnings on July 22, and everyone will be asking the same question about Gemini. If free models keep topping the charts, every valuation built on paid AI access has to be rewritten. What do you think?

Ricardo

47,790 просмотров • 1 месяц назад

BREAKING: Anthropic just dropped Fable 5.1—and CLAUDE IS SO BACK. We’ve spent the last week testing it at Every 🪨 across coding, writing, and knowledge work. Our verdict: It's finally Fable for everyone. It’s the strongest coding model we’ve used, but now it's fast, token-efficient, and CRUCIALLY actually speaks like a normal person. Here’s our vibe check: - A monster at coding. Kieran Klaassen rebuilt a working version of Proof, our document editor, from one prompt. It added useful details he hadn’t requested, and it handles enormous coding jobs that run for days at a time. It built a computer use Mac app for me called Hands in one-shot that other models failed at. - A Claude our writers want to use again. It has clearer prose, fewer AI tells, and it takes an edit without arguing. It's a significant upgrade over Opus 5. And won Katie Parrott's heart back. - About half the tokens as Opus 5, and much faster. In our Slack-agent tests, it delivered comparable results to Opus 5 using about half as many tokens, in about 60% of the time. - Knowledge work you can delegate. It can produce great knowledge work—like slide decks—end to end without making slop. And flew threw hammer's tests with flying colors. - It now supports zero-data-retention agreements. Now businesses can actually use it! A big barrier to Fable adoption is gone. Net Result: It's obviously an Opus 5 killer. If that was your daily driver you should switch today. If you're using GPT-5.6 in ChatGPT for Work, it's spinning the wheels on for big delegated tasks. I still use ChatGPT for Work more day to day, but I use way more tokens in Fable 5.1. I send it off at the beginning of the day to do big programming projects, like end to end MVP builds, and check in every once in a while. State of Play: The big knock on Anthropic was they built a supergenius in a datacenter that was almost unusable. It was too slow, argued back, and talked in technical gibberish. They've managed to solve those problems and more with Fable 5.1!

BREAKING: Anthropic just dropped Fable 5.1—and CLAUDE IS SO BACK. We’ve spent the last week testing it at Every 🪨 across coding, writing, and knowledge work. Our verdict: It's finally Fable for everyone. It’s the strongest coding model we’ve used, but now it's fast, token-efficient, and CRUCIALLY actually speaks like a normal person. Here’s our vibe check: - A monster at coding. Kieran Klaassen rebuilt a working version of Proof, our document editor, from one prompt. It added useful details he hadn’t requested, and it handles enormous coding jobs that run for days at a time. It built a computer use Mac app for me called Hands in one-shot that other models failed at. - A Claude our writers want to use again. It has clearer prose, fewer AI tells, and it takes an edit without arguing. It's a significant upgrade over Opus 5. And won Katie Parrott's heart back. - About half the tokens as Opus 5, and much faster. In our Slack-agent tests, it delivered comparable results to Opus 5 using about half as many tokens, in about 60% of the time. - Knowledge work you can delegate. It can produce great knowledge work—like slide decks—end to end without making slop. And flew threw hammer's tests with flying colors. - It now supports zero-data-retention agreements. Now businesses can actually use it! A big barrier to Fable adoption is gone. Net Result: It's obviously an Opus 5 killer. If that was your daily driver you should switch today. If you're using GPT-5.6 in ChatGPT for Work, it's spinning the wheels on for big delegated tasks. I still use ChatGPT for Work more day to day, but I use way more tokens in Fable 5.1. I send it off at the beginning of the day to do big programming projects, like end to end MVP builds, and check in every once in a while. State of Play: The big knock on Anthropic was they built a supergenius in a datacenter that was almost unusable. It was too slow, argued back, and talked in technical gibberish. They've managed to solve those problems and more with Fable 5.1!

Dan Shipper

202,709 просмотров • 6 дней назад

I've been hacking away in the evenings on a little piece of JS you can drop into any page and let someone add comments. State is stored in the URL, and the plan is for me to use this to get feedback on my posts. I give them a URL, they send it back. No server, no fuss.

I've been hacking away in the evenings on a little piece of JS you can drop into any page and let someone add comments. State is stored in the URL, and the plan is for me to use this to get feedback on my posts. I give them a URL, they send it back. No server, no fuss.

Sam Rose

22,962 просмотров • 1 год назад

BREAKING: GPT-5.6 Sol is out—AND Codex has been merged into ChatGPT Desktop as ChatGPT Codex. This combo model and desktop app harness are the gold-standard for knowledge work in AI. 5.6 is powerful, fast, half the price of Fable, and my default for almost everything. We’ve been testing it internally Every 🪨 for about a month across coding, writing, design, and knowledge work. Here’s our day-zero vibe check: - An A-tier coder—but it’s not Fable. Sol scored 56/100 on our Senior Engineer benchmark compared to a 91 for Fable. I think the 56/100 undersells it, it's an excellent implementor, and very smart. But Fable just writes conceptually cleaner code and works better at the top end of task complexity. PRO-TIP: Use GPT-5.6 as Fable's subagent for the most goated combo in AI coding. - The best writer of the frontier models. It’s clearer and more concise than Fable or Opus 4.8, without the overexplaining or weird private language. It can one-shot marketing emails, help you workshop taglines, and explain complex concepts clearly. It's also super fast, which makes it easy to collaborate with. - Design is better, but not top-tier. It has noticeably more taste than 5.5, but Fable and Opus 4.8 are still playing at a different level. See examples in the video and vibe check below. - The real leap is knowledge work. Sol is the first model I’ve trusted to run whole loops of knowledge work—not just help with individual tasks. I use it to process email, surface decisions from meetings and Slack, find job candidates, scan Facebook Marketplace for furniture, and log my meals. It has shifted my job from doing the work to tending the system that does it. - The merged app is fine. I was extremely worried about this because I love the Codex app. OpenAI was caught in an interesting position: How to make an agent orchestration app for regular ChatGPT consumers, coders, and businesses all in one app. They now split the interface between ChatGPT Work and ChatGPT Codex. They're basically the same except Work hides code. And "Chat" has been demoted to 2nd tier status for quick questions in either one. It's not a big leap, but it's not a huge setback either. And it remains my favorite of the desktop agent orchestration apps. Verdict: If I really had to put my finger on it, I'd say Fable has way more big model smell. But that means it's a skill in itself to get value out of it—99% of people are still not there yet. GPT-5.6 is almost as powerful, but is easy to use, fast, and relatively cheap. It should give you an early sense of where model work is going. Full Every 🪨 Vibe Check:

BREAKING: GPT-5.6 Sol is out—AND Codex has been merged into ChatGPT Desktop as ChatGPT Codex. This combo model and desktop app harness are the gold-standard for knowledge work in AI. 5.6 is powerful, fast, half the price of Fable, and my default for almost everything. We’ve been testing it internally Every 🪨 for about a month across coding, writing, design, and knowledge work. Here’s our day-zero vibe check: - An A-tier coder—but it’s not Fable. Sol scored 56/100 on our Senior Engineer benchmark compared to a 91 for Fable. I think the 56/100 undersells it, it's an excellent implementor, and very smart. But Fable just writes conceptually cleaner code and works better at the top end of task complexity. PRO-TIP: Use GPT-5.6 as Fable's subagent for the most goated combo in AI coding. - The best writer of the frontier models. It’s clearer and more concise than Fable or Opus 4.8, without the overexplaining or weird private language. It can one-shot marketing emails, help you workshop taglines, and explain complex concepts clearly. It's also super fast, which makes it easy to collaborate with. - Design is better, but not top-tier. It has noticeably more taste than 5.5, but Fable and Opus 4.8 are still playing at a different level. See examples in the video and vibe check below. - The real leap is knowledge work. Sol is the first model I’ve trusted to run whole loops of knowledge work—not just help with individual tasks. I use it to process email, surface decisions from meetings and Slack, find job candidates, scan Facebook Marketplace for furniture, and log my meals. It has shifted my job from doing the work to tending the system that does it. - The merged app is fine. I was extremely worried about this because I love the Codex app. OpenAI was caught in an interesting position: How to make an agent orchestration app for regular ChatGPT consumers, coders, and businesses all in one app. They now split the interface between ChatGPT Work and ChatGPT Codex. They're basically the same except Work hides code. And "Chat" has been demoted to 2nd tier status for quick questions in either one. It's not a big leap, but it's not a huge setback either. And it remains my favorite of the desktop agent orchestration apps. Verdict: If I really had to put my finger on it, I'd say Fable has way more big model smell. But that means it's a skill in itself to get value out of it—99% of people are still not there yet. GPT-5.6 is almost as powerful, but is easy to use, fast, and relatively cheap. It should give you an early sense of where model work is going. Full Every 🪨 Vibe Check:

Dan Shipper 📧

146,015 просмотров • 2 месяцев назад

There’s been times when I’m walking or hiking in the woods and I hear knocking coming a building, it gives me an eerie vibe like a trapped in the woods kind of feeling. I know I post about this stuff a bit but it truly fascinates me. Like how this man is hearing knocking on the ground in the woods like something underneath him is knocking but it’s solid ground right? The only logical explanation I can think of is it’s reverb from construction or possibly pipes on the ground being worked on. I was at the state park getting a jog in, the surrounding area was flat, I could see far on either side of me. The fields were clear of trees like a new developmental lot. I didn’t have my headphones on, I decided just to go for a jog without them. During the jog it was quiet, except for the sounds of the wildlife, I could tell they were there, it didn’t bother me. However as I progressed I started hearing a screeching noise, it didn’t sound like any animal to me, almost like old metal on metal brakes of a car ready to fail is how I would describe it. I wasn’t worried because as I said before, the area I was at was clear, it wasn’t as if anybody could be hiding along my path, it was just empty, but what made it weird is I couldn’t pinpoint where the noise was and it sounded close yet I couldn’t see anything that could be the source. Just a dirt path and grass. There were trees along the horizon but they were far, too far for that noise to be so close. For the rest of the job I kept my eyes open but to this day I still couldn’t explain what that noise was.

There’s been times when I’m walking or hiking in the woods and I hear knocking coming a building, it gives me an eerie vibe like a trapped in the woods kind of feeling. I know I post about this stuff a bit but it truly fascinates me. Like how this man is hearing knocking on the ground in the woods like something underneath him is knocking but it’s solid ground right? The only logical explanation I can think of is it’s reverb from construction or possibly pipes on the ground being worked on. I was at the state park getting a jog in, the surrounding area was flat, I could see far on either side of me. The fields were clear of trees like a new developmental lot. I didn’t have my headphones on, I decided just to go for a jog without them. During the jog it was quiet, except for the sounds of the wildlife, I could tell they were there, it didn’t bother me. However as I progressed I started hearing a screeching noise, it didn’t sound like any animal to me, almost like old metal on metal brakes of a car ready to fail is how I would describe it. I wasn’t worried because as I said before, the area I was at was clear, it wasn’t as if anybody could be hiding along my path, it was just empty, but what made it weird is I couldn’t pinpoint where the noise was and it sounded close yet I couldn’t see anything that could be the source. Just a dirt path and grass. There were trees along the horizon but they were far, too far for that noise to be so close. For the rest of the job I kept my eyes open but to this day I still couldn’t explain what that noise was.

SonnyBoy🇺🇸

23,312 просмотров • 2 месяцев назад

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

OPUS 4.6 WAS NERFED DUE TO DEMAND BUT OPUS 4.5 DOES NOT SEEM TO BE HIT this guy ran the same test on both models. Opus 4.6 fails consistently but Opus 4.5 passes every time he switched back to Opus 4.5 on Claude Code and said "what a difference, feels like i got Opus back finally" he is now using this test as a "quantization canary" that runs it at the start of every session before doing real work. if it fails, the model is degraded. five Opus 4.6 windows in a row failed the untransparent nerfing is pushing people to cancel their Max plans if you've been feeling like Opus got dumber lately, you're not imagining it i'd suggest switching to Opus 4.5 to see the difference for yourself

Om Patel

696,175 просмотров • 5 месяцев назад