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NEW VIDEO: every major AI model ranked for vibe coding. Fable 5 is still the only S tier. Opus 5 redeemed itself to A tier. Grok 4.6 is B tier with the best subscription in AI. Real world rankings from someone who spends over $1,000 a month on AI... show more

BridgeMind

49,717 subscribers

19,420 просмотров • 4 дней назад •via X (Twitter)

Наука и технологии Игры

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CHINA JUST GAVE AWAY A TOP TIER CODING MODEL FOR FREE… The AI coding race just got more competitive and San Francisco is not the only AI hub anymore..

CHINA JUST GAVE AWAY A TOP TIER CODING MODEL FOR FREE… The AI coding race just got more competitive and San Francisco is not the only AI hub anymore..

Kanika

12,858 просмотров • 2 месяцев назад

What is the best data for training humanoid & robotics foundation models? Pete Florence Pete Florence (CEO Eric Nehrlich, ex-Google DeepMind) dropped his live data tier list in this 7-minute clip on TBPN: - S-tier: Real-world robot experience (especially glove/sensor high-dexterity data) - A/B-tier: Internet/YouTube videos. Surprisingly powerful for transfer learning (the “web data” moment for physical AI) - B-tier: Text/common crawl (Reddit, books, etc.). Useful priors, but not enough alone - C-tier: Motion Capture. Great for whole-body motion, weak on finger dexterity - C or lower: Simulation / synthetic / world models. High potential, still waiting for strong real-world proof Generalist has collected 270,000+ hours of real-world manipulation data (scaling ~10k hours/week). And Pete stressed one key point: “The quality of data is incredibly important.” It’s not just about volume. It’s developing intuition for what actually drives performance through hands-on work. As Physical AI scales, curated real-world and high-quality internet video looks like a winning combo. h/t YUJI | AI Robotics

What is the best data for training humanoid & robotics foundation models? Pete Florence Pete Florence (CEO Eric Nehrlich, ex-Google DeepMind) dropped his live data tier list in this 7-minute clip on TBPN: - S-tier: Real-world robot experience (especially glove/sensor high-dexterity data) - A/B-tier: Internet/YouTube videos. Surprisingly powerful for transfer learning (the “web data” moment for physical AI) - B-tier: Text/common crawl (Reddit, books, etc.). Useful priors, but not enough alone - C-tier: Motion Capture. Great for whole-body motion, weak on finger dexterity - C or lower: Simulation / synthetic / world models. High potential, still waiting for strong real-world proof Generalist has collected 270,000+ hours of real-world manipulation data (scaling ~10k hours/week). And Pete stressed one key point: “The quality of data is incredibly important.” It’s not just about volume. It’s developing intuition for what actually drives performance through hands-on work. As Physical AI scales, curated real-world and high-quality internet video looks like a winning combo. h/t YUJI | AI Robotics

Michelle Sun

15,351 просмотров • 2 месяцев назад

Free is the part people are underpricing. Google just made Gemini 3.6 Flash the new default. Not a toy model hiding in a free tier. A near-frontier coding model normal users can try in Gemini and AI Studio without touching enterprise pricing. This is landing while people compare paid frontier APIs: > GPT-5.6 Sol at $5/$30 > Claude Sonnet 5 at $3/$15 > Grok 4.5 at $2/$6 > Gemini 3.5 Flash at $1.50/$9 Benchmarks matter. But a model people can actually use for free changes behavior faster than a model they only admire from pricing tables.

Free is the part people are underpricing. Google just made Gemini 3.6 Flash the new default. Not a toy model hiding in a free tier. A near-frontier coding model normal users can try in Gemini and AI Studio without touching enterprise pricing. This is landing while people compare paid frontier APIs: > GPT-5.6 Sol at $5/$30 > Claude Sonnet 5 at $3/$15 > Grok 4.5 at $2/$6 > Gemini 3.5 Flash at $1.50/$9 Benchmarks matter. But a model people can actually use for free changes behavior faster than a model they only admire from pricing tables.

ＺＥＦＩ

13,074 просмотров • 1 месяц назад

All new #Giantess ZANE! Available now on Eclipse's Giantess Friends $10 tier until the end of May. Over 14 minutes long too so it's at a discount price! Not to mention you'll be getting the $5 tier Eclipse video with it! Check out our latest!

All new #Giantess ZANE! Available now on Eclipse's Giantess Friends $10 tier until the end of May. Over 14 minutes long too so it's at a discount price! Not to mention you'll be getting the $5 tier Eclipse video with it! Check out our latest!

Canadian Giantess - ChibiChan

17,971 просмотров • 3 месяцев назад

Here is EVERY AI tool you need to be using in August 2026 I've personally used each for 100+ If you master them and use them all, you'll be a productivity MACHINE The list of the tools are down below. How to use each is in the video! • Best planning model: Fable 5 medium- smartest model out there. Use it to do all your ideation and planning • Best execution model: ChatGPT 5.6 sol medium- best bang for your buck. TONS of usage and incredibly smart • Best AI tool: ChatGPT Voice: the future of interfacing with technology • Best AI agent harness: ChatGPT Desktop app- can do anything any other AI agent can do, but does it better • Best model for building UI/UX/games: Claude Code w/ Claude Opus 5- this model gets a lot of hate. Some of it warranted, most of it not. NOTHING beats Opus 5 for UI • Local model: Qwen 3.6 27b on DGX Spark- best speed and intelligence ratio in local AI • Other must have tools: Buzz from Jack Dorsey. The future of AI is multiplayer, and this is the first true multiplayer AI platform out there

Here is EVERY AI tool you need to be using in August 2026 I've personally used each for 100+ If you master them and use them all, you'll be a productivity MACHINE The list of the tools are down below. How to use each is in the video! • Best planning model: Fable 5 medium- smartest model out there. Use it to do all your ideation and planning • Best execution model: ChatGPT 5.6 sol medium- best bang for your buck. TONS of usage and incredibly smart • Best AI tool: ChatGPT Voice: the future of interfacing with technology • Best AI agent harness: ChatGPT Desktop app- can do anything any other AI agent can do, but does it better • Best model for building UI/UX/games: Claude Code w/ Claude Opus 5- this model gets a lot of hate. Some of it warranted, most of it not. NOTHING beats Opus 5 for UI • Local model: Qwen 3.6 27b on DGX Spark- best speed and intelligence ratio in local AI • Other must have tools: Buzz from Jack Dorsey. The future of AI is multiplayer, and this is the first true multiplayer AI platform out there

Alex Finn

41,215 просмотров • 16 дней назад

The new SpaceX-Cursor model is going to be insane. It is being trained from scratch, unlike previous Composer models, which were built off Kimi. This new model is Elon’s attempt to get back in the AI race, and he might rejoin as the frontrunner. Composer 2.5 is already a world-class model, only losing to models like GPT-5.5, Opus 4.8, and Fable 5. Grok Composer 3, with SpaceX’s massive compute and xAI’s team, could become the best AI model on the planet. Elon is back.

The new SpaceX-Cursor model is going to be insane. It is being trained from scratch, unlike previous Composer models, which were built off Kimi. This new model is Elon’s attempt to get back in the AI race, and he might rejoin as the frontrunner. Composer 2.5 is already a world-class model, only losing to models like GPT-5.5, Opus 4.8, and Fable 5. Grok Composer 3, with SpaceX’s massive compute and xAI’s team, could become the best AI model on the planet. Elon is back.

Ali Romman

119,837 просмотров • 2 месяцев назад

Overall, #Karuppu is receiving a positive response from the audience !!🥵🔥 Now many Tier-2 actors' fans know why #Suriya is definitely not a Tier-2 actor.😏💥 He is the only Tamil actor after TTT who is capable of pulling audiences to theatres on his own.🙏🙏 Yes, after a decade, this is a true theatrical comeback.🥹💥 This is just the beginning. From this evening onwards, the real box office numbers can be witnessed even in B and C centres across TN and TS.📈📈💥💥

Overall, #Karuppu is receiving a positive response from the audience !!🥵🔥 Now many Tier-2 actors' fans know why #Suriya is definitely not a Tier-2 actor.😏💥 He is the only Tamil actor after TTT who is capable of pulling audiences to theatres on his own.🙏🙏 Yes, after a decade, this is a true theatrical comeback.🥹💥 This is just the beginning. From this evening onwards, the real box office numbers can be witnessed even in B and C centres across TN and TS.📈📈💥💥

CineContent

55,240 просмотров • 3 месяцев назад

We have isolated the vocals of over 28,000 songs: Not for any music AI model at all. Not to clone these vocals or the singer’s style. Not anything musical, although I have made some interesting discoveries. It is a new AI model that is being trained on a new paradigm.

We have isolated the vocals of over 28,000 songs: Not for any music AI model at all. Not to clone these vocals or the singer’s style. Not anything musical, although I have made some interesting discoveries. It is a new AI model that is being trained on a new paradigm.

Brian Roemmele

56,584 просмотров • 4 месяцев назад

What do researchers in the trenches say about the proximity of AGI? "It's not near" shipped GLM-4.6 with a relatively small team. But AGI and the AI bubble are viewed very differently in Beijing. Gemini says: Many developers regard GLM 4.6 as a top-tier model for coding. One Reddit user called it "the BEST CODING LLM. Period," after using it successfully on a complex, multi-component project that other models struggled with. Another user noted that GLM 4.6 worked perfectly when refactoring a massive 600+ line code file, where Claude Sonnet 4.5 failed.

What do researchers in the trenches say about the proximity of AGI? "It's not near" shipped GLM-4.6 with a relatively small team. But AGI and the AI bubble are viewed very differently in Beijing. Gemini says: Many developers regard GLM 4.6 as a top-tier model for coding. One Reddit user called it "the BEST CODING LLM. Period," after using it successfully on a complex, multi-component project that other models struggled with. Another user noted that GLM 4.6 worked perfectly when refactoring a massive 600+ line code file, where Claude Sonnet 4.5 failed.

steve hsu

101,144 просмотров • 10 месяцев назад

Found a way to run Kimi K3 for FREE with daily credits on 😳 it's a 2.8T parameter model. 1M context. beats Fable 5 on coding benchmarks. what you get for $0: -2.8 trillion parameters -1M context window -beats Fable 5 on SWE Marathon (42 vs 35) -beats Fable 5 on Program Bench (77.8) -topped BrowseComp (91.2) -native vision understanding What this replaces: -Paid frontier API costs for coding agents -Fable 5 at $30/M output tokens -GPT-5.6 Sol at $25/M output tokens how to use it (2 min): 1. Go to 2. Sign up with email 3. Start using K3 — it's the default model Also available on desktop app, CLI, and mobile. Important: Free daily credits reset. Full open weights dropping July 27. Rate limits apply on free tier. use this before the free tier gets crowded

Found a way to run Kimi K3 for FREE with daily credits on 😳 it's a 2.8T parameter model. 1M context. beats Fable 5 on coding benchmarks. what you get for $0: -2.8 trillion parameters -1M context window -beats Fable 5 on SWE Marathon (42 vs 35) -beats Fable 5 on Program Bench (77.8) -topped BrowseComp (91.2) -native vision understanding What this replaces: -Paid frontier API costs for coding agents -Fable 5 at $30/M output tokens -GPT-5.6 Sol at $25/M output tokens how to use it (2 min): 1. Go to 2. Sign up with email 3. Start using K3 — it's the default model Also available on desktop app, CLI, and mobile. Important: Free daily credits reset. Full open weights dropping July 27. Rate limits apply on free tier. use this before the free tier gets crowded

painn

253,746 просмотров • 1 месяц 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 📧

145,911 просмотров • 1 месяц назад

OpenAI's usage pattern from CFO Sarah Friar's new interview. "Our free users do about seven turns, or seven questions, a day. Our first paid tier does double that, about 15. Our real paid tier, Plus, which is $20, is about 3x, and Pro is about 11x over a free user." Our mission at OpenAI is AGI for the benefit of humanity, not for the benefit of humanity who can pay, or for the benefit of humanity who live in an enterprise" ---- From The All-In Podcast YouTube channel, (link in comment)

OpenAI's usage pattern from CFO Sarah Friar's new interview. "Our free users do about seven turns, or seven questions, a day. Our first paid tier does double that, about 15. Our real paid tier, Plus, which is $20, is about 3x, and Pro is about 11x over a free user." Our mission at OpenAI is AGI for the benefit of humanity, not for the benefit of humanity who can pay, or for the benefit of humanity who live in an enterprise" ---- From The All-In Podcast YouTube channel, (link in comment)

Rohan Paul

43,037 просмотров • 2 месяцев назад

look anon, those of you who kept saying local AI is not there yet, who said open source can't compete, who said you need cloud APIs to get anything serious done, look at this gameplay for one minute. every pixel on this screen was written by one model, in one shot, on a single rtx 3090 with 24gb of vram. the model is qwen 3.6 27b dense q4. the harness is hermes agent. the hardware is a single consumer card you can buy used for 900 dollars. the prompt is open source on github. every claim verifiable, on your own desk. if your local AI take is from 2024, update it. the consumer tier is shipping work that was supposed to need 8 gpus and an api key. open source moved the floor while the rest of the field was busy explaining why it cannot. 24gb tier owners are eating ramen with half boiled egg and double chocolate.

look anon, those of you who kept saying local AI is not there yet, who said open source can't compete, who said you need cloud APIs to get anything serious done, look at this gameplay for one minute. every pixel on this screen was written by one model, in one shot, on a single rtx 3090 with 24gb of vram. the model is qwen 3.6 27b dense q4. the harness is hermes agent. the hardware is a single consumer card you can buy used for 900 dollars. the prompt is open source on github. every claim verifiable, on your own desk. if your local AI take is from 2024, update it. the consumer tier is shipping work that was supposed to need 8 gpus and an api key. open source moved the floor while the rest of the field was busy explaining why it cannot. 24gb tier owners are eating ramen with half boiled egg and double chocolate.

Sudo su

29,584 просмотров • 3 месяцев назад

The real bottleneck for AI agents? It's not the model. It's search. Even a top-tier LLM will struggle if it can't access reliable, up-to-date info. I recently tested AnySearch in my agent workflow. Right away, the results were SO much easier to handle. Let's dive in 🧵↓

The real bottleneck for AI agents? It's not the model. It's search. Even a top-tier LLM will struggle if it can't access reliable, up-to-date info. I recently tested AnySearch in my agent workflow. Right away, the results were SO much easier to handle. Let's dive in 🧵↓

Charly Wargnier

16,625 просмотров • 1 месяц назад

My personal ranking of the best crypto cards available in US ↓ has tiers based on card adoption metrics which is already useful; I tried to rank by usability. Tier S: Plasma, ether.fi I spend most with these two + have some $$ deposited to earn APY. Plasma earns cashback in XPL, EtherFi – in ETH. Tier A: KAST, XPlace, Coinbase 🛡️ card XPlace is imo a very undervalued crypto card, under the radar play Tier B: lava, Hyperbeat, Cypher💳 All three are cool, each with some unique features (like BTC yield in the case of Lava) Tier C: Tuyo, Tria Tuyo is an emerging one with an interesting concept; might go higher. Tria has some community sceptisism recently, so I can't put it higher – but still on the list. What's your ranking?

My personal ranking of the best crypto cards available in US ↓ has tiers based on card adoption metrics which is already useful; I tried to rank by usability. Tier S: Plasma, ether.fi I spend most with these two + have some $$ deposited to earn APY. Plasma earns cashback in XPL, EtherFi – in ETH. Tier A: KAST, XPlace, Coinbase 🛡️ card XPlace is imo a very undervalued crypto card, under the radar play Tier B: lava, Hyperbeat, Cypher💳 All three are cool, each with some unique features (like BTC yield in the case of Lava) Tier C: Tuyo, Tria Tuyo is an emerging one with an interesting concept; might go higher. Tria has some community sceptisism recently, so I can't put it higher – but still on the list. What's your ranking?

Stacy Muur

13,962 просмотров • 1 месяц назад

$40,000/month. Not from building AI girls. From becoming the person behind them. Brands already have AI faces. What they still need is someone to make them feel human. He performs every smile. Every reaction. Every pause. Motion capture maps it onto AI characters in real time. No studio. No actress. Just one person in a mocap helmet. The setup paid for itself in the first month. Most people are trying to create better AI avatars. A small group is getting paid to become the human behind them.

$40,000/month. Not from building AI girls. From becoming the person behind them. Brands already have AI faces. What they still need is someone to make them feel human. He performs every smile. Every reaction. Every pause. Motion capture maps it onto AI characters in real time. No studio. No actress. Just one person in a mocap helmet. The setup paid for itself in the first month. Most people are trying to create better AI avatars. A small group is getting paid to become the human behind them.

wluha

25,951 просмотров • 1 месяц назад

Spent the last few days vibe coding on my NVIDIA DGX Spark. Here's what I learned. Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing". Unusable for vibe coding. Gemma 4 was fast but built a dot instead of a first person shooter game. GPT-OSS 120B was the sweet spot. Fast, capable, and actually produced working HTML. Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4. Not even close. But they're getting better every month. The new DGX Spark Bench is live on Real-world benchmarks for local models on local hardware. This is just the start. Full video below.

Spent the last few days vibe coding on my NVIDIA DGX Spark. Here's what I learned. Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing". Unusable for vibe coding. Gemma 4 was fast but built a dot instead of a first person shooter game. GPT-OSS 120B was the sweet spot. Fast, capable, and actually produced working HTML. Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4. Not even close. But they're getting better every month. The new DGX Spark Bench is live on Real-world benchmarks for local models on local hardware. This is just the start. Full video below.

BridgeMind

57,304 просмотров • 4 месяцев назад

Designed this site in Fable 5 with just a few prompts. And no, this is not a lame post where I attach my actual (not AI) work on an AI post to get views by making fun of a launch. This is actually Fable 5, as you can clearly see (with some of the elements that scream AI generated). But man is it doing a great job!

Designed this site in Fable 5 with just a few prompts. And no, this is not a lame post where I attach my actual (not AI) work on an AI post to get views by making fun of a launch. This is actually Fable 5, as you can clearly see (with some of the elements that scream AI generated). But man is it doing a great job!

Asaad Mahmood - The Small Square

107,162 просмотров • 2 месяцев назад

Fantastic breakdown from Ben Horowitz on the history of venture capital and how the industry has evolved over time If you are building a VC firm or an entrepreneur thinking about raising money from venture capital, this is worth a listen "In venture capital, the fundamental thing you have to be is top tier. If you are not top tier, the best entrepreneurs will not take your money. There are times when the market is so blazing hot that you can be a not-important VC firm and jump into good deals to make money. But most times, if you are not top tier, you will go out of business."

Fantastic breakdown from Ben Horowitz on the history of venture capital and how the industry has evolved over time If you are building a VC firm or an entrepreneur thinking about raising money from venture capital, this is worth a listen "In venture capital, the fundamental thing you have to be is top tier. If you are not top tier, the best entrepreneurs will not take your money. There are times when the market is so blazing hot that you can be a not-important VC firm and jump into good deals to make money. But most times, if you are not top tier, you will go out of business."

Boring_Business

21,897 просмотров • 6 месяцев назад

🚀 New on ModelScope: MiniMax M2.1 is open-source! ✅ SOTA in 8+ languages (Rust, Go, Java, C++, TS, Kotlin, Obj-C, JS) ✅ Full-stack Web & mobile dev: Android/iOS, 3D visuals, vibe coding that actually ships ✅ Smarter, faster, 30% fewer tokens — with lightning mode (M2.1-lightning) for high-TPS workflows ✅ Top-tier on SWE-bench, VIBE, and custom coding/review benchmarks ✅ Works flawlessly in Cursor, Cline, Droid, BlackBox, and more It’s not just “better code” — it’s AI-native development, end to end. 🔗 Model:

🚀 New on ModelScope: MiniMax M2.1 is open-source! ✅ SOTA in 8+ languages (Rust, Go, Java, C++, TS, Kotlin, Obj-C, JS) ✅ Full-stack Web & mobile dev: Android/iOS, 3D visuals, vibe coding that actually ships ✅ Smarter, faster, 30% fewer tokens — with lightning mode (M2.1-lightning) for high-TPS workflows ✅ Top-tier on SWE-bench, VIBE, and custom coding/review benchmarks ✅ Works flawlessly in Cursor, Cline, Droid, BlackBox, and more It’s not just “better code” — it’s AI-native development, end to end. 🔗 Model:

ModelScope

16,939 просмотров • 8 месяцев назад