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Throughout my journey in developing multimodal models, I’ve always wanted a framework that lets me plug & play modality encoders/decoders on top of an auto-regressive LLM. I want to prototype fast, try new architectures, and have my demo files scale effortlessly — with full support for parallelism and optimization....

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Brian Li

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54,822 views • 9 months ago •via X (Twitter)

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We are entering an extremely exciting era for open-weight models. Kimi K2.6 now feels like a top agentic model. I took it for a spin via Fireworks AI fast inference APIs. Kimi K2.6 has impressive agentic capabilities, design skills, and the ability to synthesize large amounts of information. I built a little Skill that produces survey papers on any AI research topic you want. (see example in the clip) You can use the skill to tell your agent to generate a survey on whatever topic and watch it go to work. The artifact was fully generated by Kimi.ai's Kimi K2.6. It's cheap and fast. Next step for me is to explore ways to continue integrating the capabilities of these models on use cases like automating my LLM knowledge bases and augmenting my agent memory capabilities. Stay tuned for more.
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We are entering an extremely exciting era for open-weight models. Kimi K2.6 now feels like a top agentic model. I took it for a spin via Fireworks AI fast inference APIs. Kimi K2.6 has impressive agentic capabilities, design skills, and the ability to synthesize large amounts of information. I built a little Skill that produces survey papers on any AI research topic you want. (see example in the clip) You can use the skill to tell your agent to generate a survey on whatever topic and watch it go to work. The artifact was fully generated by Kimi.ai's Kimi K2.6. It's cheap and fast. Next step for me is to explore ways to continue integrating the capabilities of these models on use cases like automating my LLM knowledge bases and augmenting my agent memory capabilities. Stay tuned for more.

elvis

47,678 views • 3 months ago

Something NVIDIA & Google do better than anyone else is software-hardware-system co-design, and not just optimizing hardware for current model architectures, but predicting future ones. Back in early 2022, when NVIDIA started the design process for NVL72, MoE (Mixture of Experts) models were not yet the standard, and dense models were still dominant for frontier models. However, NVIDIA's strong software-hardware co-design culture enabled them to make a calculated bet that MoEs were the future, and they built NVL72 specifically for best MoE performance per TCO (Total Cost of Ownership). Furthermore, back in 2022, disaggregated prefill and wide expert parallelism (wideEP) MoE inference optimizations hadn't been invented yet, but it turns out that these MoE inference optimizations work best on large-scale systems like NVL72. While most other AI chip companies' in-house AI labs focus on training small 5B models that mainly use data parallelism, NVIDIA and Google's in-house AI labs continuously push the boundaries of model architecture and training recipes, such as NVFP4 training. Just like Super Idol & IShowSpeed, there must be a strong partnership between software engineers and hardware engineers to deliver the best systems that maximize performance per TCO.
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Something NVIDIA & Google do better than anyone else is software-hardware-system co-design, and not just optimizing hardware for current model architectures, but predicting future ones. Back in early 2022, when NVIDIA started the design process for NVL72, MoE (Mixture of Experts) models were not yet the standard, and dense models were still dominant for frontier models. However, NVIDIA's strong software-hardware co-design culture enabled them to make a calculated bet that MoEs were the future, and they built NVL72 specifically for best MoE performance per TCO (Total Cost of Ownership). Furthermore, back in 2022, disaggregated prefill and wide expert parallelism (wideEP) MoE inference optimizations hadn't been invented yet, but it turns out that these MoE inference optimizations work best on large-scale systems like NVL72. While most other AI chip companies' in-house AI labs focus on training small 5B models that mainly use data parallelism, NVIDIA and Google's in-house AI labs continuously push the boundaries of model architecture and training recipes, such as NVFP4 training. Just like Super Idol & IShowSpeed, there must be a strong partnership between software engineers and hardware engineers to deliver the best systems that maximize performance per TCO.

SemiAnalysis

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NVIDIA AI Released DiffusionRenderer: An AI Model for Editable, Photorealistic 3D Scenes from a Single Video In a groundbreaking new paper, researchers at NVIDIA, University of Toronto, Vector Institute and the University of Illinois Urbana-Champaign have unveiled a framework that directly tackles this challenge. DiffusionRenderer represents a revolutionary leap forward, moving beyond mere generation to offer a unified solution for understanding and manipulating 3D scenes from a single video. It effectively bridges the gap between generation and editing, unlocking the true creative potential of AI-driven content. DiffusionRenderer treats the “what” (the scene’s properties) and the “how” (the rendering) in one unified framework built on the same powerful video diffusion architecture that underpins models like Stable Video Diffusion..... Read full article here: Paper: GitHub Page: NVIDIA NVIDIA AI NVIDIAnewsroom NVIDIA AIDev

Marktechpost AI Dev News ⚡

104,741 views • 1 year ago

I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.
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I just built my own wiki generator plugin for my agents. My agents can now generate wikis for anything I ask. One of my favorite wikis is called PaperWiki. This is a great example of what Andrej Karpathy describes. It uses obsidian vaults to organize papers, retrieve LLM-generated summaries, diagrams, and other advanced views for paper exploration. When Obsidian UI is not enough, I use my own artifact generator inside my agent orchestrator (see clip for example). This allows my agents to build any kind of view or exploration feature that I need. The papers are all curated with automations and several rules/patterns I have manually built over the years. On the surface, this looks basic. But behind the scenes, there are advanced search capabilities, connections, metadata, derived data, and other interesting bits of information that are extremely useful for my research agents. This is mostly built for agents. The artifact preview is just a high-level way to validate and quickly assess the quality of the wiki, suggest improvements, and it's also great for research. I use tobi lutke's qmd for all search capabilities. Everything is markdown. The summaries and even the diagrams. The wiki updates on its own based on several automations I have optimized over the past couple of weeks. The wiki grows and self-improves based on several requirements important for my research use cases. This is as personalized as it gets. There is nothing like it out there. And I use my research expertise to continue improving it over time. This is a vanilla wiki. There are so many things I want to build on top of this. Different aggregations, views, artifacts, etc. All to help automate more of my research work and accelerate productivity. I think the biggest leverage here is how powerful this could be for discovery and experimentation. One of my goals is to use it to find deeper connections and insights that would otherwise elude the top human researchers and use those to generate interesting new hypotheses and research experiments. That way, my agents can use autoresearch to explore research ideas at the frontier. Stay tuned for more.

elvis

67,153 views • 3 months ago

We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: Code: Like AlphaEvolve and its variants, our framework leverages LLMs to find state-of-the-art solutions to complex problems, but using orders of magnitude fewer resources! Many evolutionary AI systems are powerful but act like brute-force engines, burning thousands of samples to find good solutions. This makes discovery slow and expensive. We took inspiration from the efficiency of nature. ‘Shinka’ (進化) is Japanese for evolution, and we designed our system to be just as resourceful. On the classic circle packing optimization problem, ShinkaEvolve discovered a new state-of-the-art solution using only 150 samples. This is a big leap in efficiency compared to previous methods that required thousands of evaluations. We applied ShinkaEvolve to a diverse set of hard problems with real-world applications: 1/ AIME Math Reasoning: It evolved sophisticated agentic scaffolds that significantly outperform strong baselines, discovering an entire Pareto frontier of solutions trading performance for efficiency. 2/ Competitive Programming: On ALE-Bench (a benchmark for NP-Hard optimization problems), ShinkaEvolve took the best existing agent's solutions and improved them, turning a 5th place solution on one task into a 2nd place leaderboard rank in a competitive programming competition. 3/ LLM Training: We even turned ShinkaEvolve inward to improve LLMs themselves. It tackled the open challenge of designing load balancing losses for Mixture-of-Experts (MoE) models. It discovered a novel loss function that leads to better expert specialization and consistently improves model performance and perplexity. ShinkaEvolve achieves its remarkable sample-efficiency through three key innovations that work together: (1) an adaptive parent sampling strategy to balance exploration and exploitation, (2) novelty-based rejection filtering to avoid redundant work, and (3) a bandit-based LLM ensemble that dynamically picks the best model for the job. By making ShinkaEvolve open-source and highly sample-efficient, our goal is to democratize access to advanced, open-ended discovery tools. Our vision for ShinkaEvolve is to be an easy-to-use companion tool to help scientists and engineers with their daily work. We believe that building more efficient, nature-inspired systems is key to unlocking the future of AI-driven scientific research. We are excited to see what the community builds with it! Learn more in our technical report:
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We’re excited to introduce ShinkaEvolve: An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency. Blog: Code: Like AlphaEvolve and its variants, our framework leverages LLMs to find state-of-the-art solutions to complex problems, but using orders of magnitude fewer resources! Many evolutionary AI systems are powerful but act like brute-force engines, burning thousands of samples to find good solutions. This makes discovery slow and expensive. We took inspiration from the efficiency of nature. ‘Shinka’ (進化) is Japanese for evolution, and we designed our system to be just as resourceful. On the classic circle packing optimization problem, ShinkaEvolve discovered a new state-of-the-art solution using only 150 samples. This is a big leap in efficiency compared to previous methods that required thousands of evaluations. We applied ShinkaEvolve to a diverse set of hard problems with real-world applications: 1/ AIME Math Reasoning: It evolved sophisticated agentic scaffolds that significantly outperform strong baselines, discovering an entire Pareto frontier of solutions trading performance for efficiency. 2/ Competitive Programming: On ALE-Bench (a benchmark for NP-Hard optimization problems), ShinkaEvolve took the best existing agent's solutions and improved them, turning a 5th place solution on one task into a 2nd place leaderboard rank in a competitive programming competition. 3/ LLM Training: We even turned ShinkaEvolve inward to improve LLMs themselves. It tackled the open challenge of designing load balancing losses for Mixture-of-Experts (MoE) models. It discovered a novel loss function that leads to better expert specialization and consistently improves model performance and perplexity. ShinkaEvolve achieves its remarkable sample-efficiency through three key innovations that work together: (1) an adaptive parent sampling strategy to balance exploration and exploitation, (2) novelty-based rejection filtering to avoid redundant work, and (3) a bandit-based LLM ensemble that dynamically picks the best model for the job. By making ShinkaEvolve open-source and highly sample-efficient, our goal is to democratize access to advanced, open-ended discovery tools. Our vision for ShinkaEvolve is to be an easy-to-use companion tool to help scientists and engineers with their daily work. We believe that building more efficient, nature-inspired systems is key to unlocking the future of AI-driven scientific research. We are excited to see what the community builds with it! Learn more in our technical report:

Sakana AI

359,537 views • 10 months ago

This app has racked 500K installs using this UGC format. This is one of the best app growth strategies I’ve seen by this language fluency ai app. The video got 9.9M views 990K likes The app is doing: $500K MRR $6M ARR With formats like: “why tf is English so hard 🥀” …then seamlessly transitions into the app demo. I studied and reverse-engineered all of their UGC and content marketing strategies. Then I built a complete UGC system that lets you replicate the same growth framework, create viral concepts consistently, and scale your app much faster without guessing what to post. If you want to know how they grew so quickly and replicate their success… Comment “VIRAL” and I’ll send the full guide (must be following so I can DM).
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This app has racked 500K installs using this UGC format. This is one of the best app growth strategies I’ve seen by this language fluency ai app. The video got 9.9M views 990K likes The app is doing: $500K MRR $6M ARR With formats like: “why tf is English so hard 🥀” …then seamlessly transitions into the app demo. I studied and reverse-engineered all of their UGC and content marketing strategies. Then I built a complete UGC system that lets you replicate the same growth framework, create viral concepts consistently, and scale your app much faster without guessing what to post. If you want to know how they grew so quickly and replicate their success… Comment “VIRAL” and I’ll send the full guide (must be following so I can DM).

Daniel

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I am extremely excited to announce my verbal commitment to play D1 soccer at the University of Florida. I want to thank God for blessing me with this amazing opportunity. I would also like to thank my parents for their dedication and commitment along this journey. I truly could not have achieved this without their unwavering support and sacrifices. Thank you to all of the coaches and teammates that have helped me along the way, challenging me and shaping me into the player that I am today. I would also like to give a huge thank you to Coach Samantha, Adam, Austin, Kelly, and Kerri for giving me this opportunity and believing in me. I am so grateful to be a Gator!🐊 Gators Soccer Samantha Bohon Adam Godwin Austin O'Connor Kelly Altman Katelyn Kight Kerri Hanks Katelyn Kight em Lauren Donovan Ben Chase Abby Gemma
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I am extremely excited to announce my verbal commitment to play D1 soccer at the University of Florida. I want to thank God for blessing me with this amazing opportunity. I would also like to thank my parents for their dedication and commitment along this journey. I truly could not have achieved this without their unwavering support and sacrifices. Thank you to all of the coaches and teammates that have helped me along the way, challenging me and shaping me into the player that I am today. I would also like to give a huge thank you to Coach Samantha, Adam, Austin, Kelly, and Kerri for giving me this opportunity and believing in me. I am so grateful to be a Gator!🐊 Gators Soccer Samantha Bohon Adam Godwin Austin O'Connor Kelly Altman Katelyn Kight Kerri Hanks Katelyn Kight em Lauren Donovan Ben Chase Abby Gemma

Cali Smith ECNL 2027

31,292 views • 11 months ago

IMPORANT ANNOUNCMENT! ⊹₊˚‧︵‿₊୨ᰔ୧₊‿︵‧˚₊⊹ i want to make an official post after all the stuff that blew up and went down since yesterday and update everyone, first of all i want to thank each and every one of you that have sent me sweet messages of support, i see them all and i hear you! sadly there is SO many- i cant like and reply to them all, so please know im so grateful for you guys who have said something nice! i am also safe and have no bad thoughts currently, so please do not worry too much about me! regarding streaming and content creation, i really thought about the beginning of my passion for content creation. it started out as little ol me sitting on my ipad watching youtube for hours wanting to be just like my favorite youtubers. why didnt i start off on youtube? i saw streaming was a huge hit during the pandemic and started preparing myself on Twitch, following whatever was big at the time. after going through so much hardships with streaming, i have decided to go back to my original love for youtube and now i'll make pre-recorded content as well as shorts on other platforms. i may stream for fun occasionally but i am totally changing it up for 2026! i hope everyone can support my decision and its easier for everyone to consume my content on their own time rather than scheduled streams. and again, thank you for 13K+ followers and all the love- it truly makes my heart warm inside. you guys are all stuck with this crazy snow leopard forever, i dont make the rules! /ᐠ˵- ⩊ -˵マ TLDR : thanking everyone for being kind and i am now moving from streaming to making pre-recorded content for easier viewing and better schedule ♡
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IMPORANT ANNOUNCMENT! ⊹₊˚‧︵‿₊୨ᰔ୧₊‿︵‧˚₊⊹ i want to make an official post after all the stuff that blew up and went down since yesterday and update everyone, first of all i want to thank each and every one of you that have sent me sweet messages of support, i see them all and i hear you! sadly there is SO many- i cant like and reply to them all, so please know im so grateful for you guys who have said something nice! i am also safe and have no bad thoughts currently, so please do not worry too much about me! regarding streaming and content creation, i really thought about the beginning of my passion for content creation. it started out as little ol me sitting on my ipad watching youtube for hours wanting to be just like my favorite youtubers. why didnt i start off on youtube? i saw streaming was a huge hit during the pandemic and started preparing myself on Twitch, following whatever was big at the time. after going through so much hardships with streaming, i have decided to go back to my original love for youtube and now i'll make pre-recorded content as well as shorts on other platforms. i may stream for fun occasionally but i am totally changing it up for 2026! i hope everyone can support my decision and its easier for everyone to consume my content on their own time rather than scheduled streams. and again, thank you for 13K+ followers and all the love- it truly makes my heart warm inside. you guys are all stuck with this crazy snow leopard forever, i dont make the rules! /ᐠ˵- ⩊ -˵マ TLDR : thanking everyone for being kind and i am now moving from streaming to making pre-recorded content for easier viewing and better schedule ♡

Snowie ❄️🐾 Snow Leppy VTuber

30,178 views • 6 months ago

My dual RTX PRO 6000 setup is currently training a Draft model for Qwen 3.6 27B! 🔥 I'm taking the paper DeepSeek dropped on 6/26 and going for a super ambitious application to the 27B scale. Thanks to my homelab, I was able to dive straight in — I read the paper and immediately started experimenting. The amount I've learned has been insane: - How memory bandwidth bottlenecks speed and clever ways to hack around it - Methods to train the draft model and boost its accuracy - Mechanisms to reference tokens all the way back to the previous one to skyrocket draft acceptance rates - The impact of Attention vs. GateDeltaNet on speculative decoding performance and how to handle those differences - The unique approaches and trade-offs of MTP, Dflash, JetSpec, and DSpark I could go on forever, but just from speculative decoding alone I've learned so much. The 27B architecture feels way more DSpark-native than JetSpec, so once draft training finishes, I'm going all-in with DSpark! My goal is to beat existing speculative decoding speeds outright — no task-specific shortcuts or cheating, pure general improvement. If you're into this kind of research, I'd love to hear your thoughts, impressions, and any suggestions — please reply! 🚀
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My dual RTX PRO 6000 setup is currently training a Draft model for Qwen 3.6 27B! 🔥 I'm taking the paper DeepSeek dropped on 6/26 and going for a super ambitious application to the 27B scale. Thanks to my homelab, I was able to dive straight in — I read the paper and immediately started experimenting. The amount I've learned has been insane: - How memory bandwidth bottlenecks speed and clever ways to hack around it - Methods to train the draft model and boost its accuracy - Mechanisms to reference tokens all the way back to the previous one to skyrocket draft acceptance rates - The impact of Attention vs. GateDeltaNet on speculative decoding performance and how to handle those differences - The unique approaches and trade-offs of MTP, Dflash, JetSpec, and DSpark I could go on forever, but just from speculative decoding alone I've learned so much. The 27B architecture feels way more DSpark-native than JetSpec, so once draft training finishes, I'm going all-in with DSpark! My goal is to beat existing speculative decoding speeds outright — no task-specific shortcuts or cheating, pure general improvement. If you're into this kind of research, I'd love to hear your thoughts, impressions, and any suggestions — please reply! 🚀

Hikari∣LocalLLM⚡

56,314 views • 1 month ago

LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.
0:18

LLM Artifacts Connected to Andrej Karpathy's LLM Knowledge base idea, I've been building out a fun way to generate dynamic artifacts from these knowledge bases with the goal of discovering and revealing meaningful and deeper insights. LLM KBs are hard to consume for humans, as I think they are more built for agents. So the question is, what form would be useful for humans to take actions and make important decisions? That's what I am trying to figure out with these artifacts. The artifact example shows a pulse on HN discussions around AI-related stories. The insights can go deeper, of course, but this is already super fun and thought-provoking, like some of my favorite podcasts. The format and depth matter a lot. The aggregation skills of agents are outstanding if you tune the prompts and skill carefully. I built this artifact generator in a few minutes through an agent skill, but I feel like there are so many ways that LLM-generated information can be used and consumed. Like generating deeper insights and analysis, and things that are just not feasible for humans today. The generated artifact (including its data and design) serves as reusable templates or can be updated in real-time via auomations, which is something I am also working on. It is truly an insane way to monitor and track information. Better than a newsletter. Better than newspapers. There is something about this that gets me really excited about the future of AI agents for knowledge generation and discovery. Lots of hidden gems everywhere just waiting to be discovered and acted on if the information is presented correctly. This is not perfect. The format, style/prose can be improved, but this is easy to customize via skill. You can personalize it to your liking. I feel like these dynamic artifacts are going to emerge as a strong new medium to stay on the cutting edge of things, both for agents and humans. My target is research, of course. This was just a basic example. Besides animation, I am also targeting other components like voice, videos, images, slides, etc. This space is full of opportunities to explore. Skill for this coming soon.

elvis

31,242 views • 3 months ago

Introducing Kaleido💮 from AI at Meta — a universal generative neural rendering engine for photorealistic, unified object and scene view synthesis. Kaleido is built on a simple but powerful design philosophy: 3D perception is a form of visual common sense. Following this idea, we formulate rendering purely as a sequence-to-sequence generation problem, successfully unifying neural rendering with the architecture principles behind modern language and video models. Unlike traditional neural rendering methods, Kaleido learns 3D purely in a data-driven way, without explicit 3D representations or structures. It acquires spatial understanding directly through large-scale video pretraining, then multi-view 3D data finetuning, inspired by how LLMs acquire textual common sense from large corpora before specialising in domains like coding. Through extensive ablations, we progressively modernised the architecture design and training strategies and tackled key scaling challenges in sequence-to-sequence generative rendering, arriving at a design that’s simple, versatile, and scalable. Kaleido significantly outperforms prior generative models in few-view settings, and remarkably is the first zero-shot generative method matches InstantNGP-level rendering quality in multi-view settings. We view Kaleido also as an alternative step towards world modeling that flexibly spans a spectrum of “realities": with many views, it faithfully reconstructs grounded reality; with fewer views, it imagines plausible unseen details. 🔗 Explore more results and paper:
0:12

Introducing Kaleido💮 from AI at Meta — a universal generative neural rendering engine for photorealistic, unified object and scene view synthesis. Kaleido is built on a simple but powerful design philosophy: 3D perception is a form of visual common sense. Following this idea, we formulate rendering purely as a sequence-to-sequence generation problem, successfully unifying neural rendering with the architecture principles behind modern language and video models. Unlike traditional neural rendering methods, Kaleido learns 3D purely in a data-driven way, without explicit 3D representations or structures. It acquires spatial understanding directly through large-scale video pretraining, then multi-view 3D data finetuning, inspired by how LLMs acquire textual common sense from large corpora before specialising in domains like coding. Through extensive ablations, we progressively modernised the architecture design and training strategies and tackled key scaling challenges in sequence-to-sequence generative rendering, arriving at a design that’s simple, versatile, and scalable. Kaleido significantly outperforms prior generative models in few-view settings, and remarkably is the first zero-shot generative method matches InstantNGP-level rendering quality in multi-view settings. We view Kaleido also as an alternative step towards world modeling that flexibly spans a spectrum of “realities": with many views, it faithfully reconstructs grounded reality; with fewer views, it imagines plausible unseen details. 🔗 Explore more results and paper:

Shikun Liu

22,389 views • 10 months ago

Today, I graduated from Stanford with my masters in law, with a focus in law, science, and technology. I expended considerable time exploring how to add value to emerging companies by advising them throughout their lifecycles, specifically on raising venture capital and licensing intellectual properties and technologies. I hope to spend the foreseeable future deepening my expertise in these areas. For the Stanford journey, I must start with gratitude. First, I am grateful for my parents, siblings and family who supported me through everything. I am grateful for my former employers who invested heavily in my growth, played a substantial part in Stanford happening, and in whom I found another family. I am especially grateful for my friends (including those I made at Stanford) who have overwhelmed me with love and support that I do not think I deserve. I am grateful for my colleagues, with whom I have shared this journey, and who have blessed me with their knowledge and experiences. I am grateful for all my mentors and professional connections whose benevolence towards me have never run dry. I am grateful for my professors and the Stanford academic faculty who have shared their knowledge with me and have challenged me intellectually, and finally, I am grateful to God, for the invisible hand in how my life has played out over the past year. At the ceremony, my friend Ana Julia – who spoke on behalf of the class – said we already made it before we arrived for this program. That is true, because the program is a gathering of highly exceptional people from different parts of the world, and with different experiences. Having been privileged to spend the last one year with these people, I will go on from here knowing that I mean something. I am something. And I will devote my time to leading with my humanity and advocating for positive change in the world. I charge you to do the same.
0:14

Today, I graduated from Stanford with my masters in law, with a focus in law, science, and technology. I expended considerable time exploring how to add value to emerging companies by advising them throughout their lifecycles, specifically on raising venture capital and licensing intellectual properties and technologies. I hope to spend the foreseeable future deepening my expertise in these areas. For the Stanford journey, I must start with gratitude. First, I am grateful for my parents, siblings and family who supported me through everything. I am grateful for my former employers who invested heavily in my growth, played a substantial part in Stanford happening, and in whom I found another family. I am especially grateful for my friends (including those I made at Stanford) who have overwhelmed me with love and support that I do not think I deserve. I am grateful for my colleagues, with whom I have shared this journey, and who have blessed me with their knowledge and experiences. I am grateful for all my mentors and professional connections whose benevolence towards me have never run dry. I am grateful for my professors and the Stanford academic faculty who have shared their knowledge with me and have challenged me intellectually, and finally, I am grateful to God, for the invisible hand in how my life has played out over the past year. At the ceremony, my friend Ana Julia – who spoke on behalf of the class – said we already made it before we arrived for this program. That is true, because the program is a gathering of highly exceptional people from different parts of the world, and with different experiences. Having been privileged to spend the last one year with these people, I will go on from here knowing that I mean something. I am something. And I will devote my time to leading with my humanity and advocating for positive change in the world. I charge you to do the same.

ABI

183,197 views • 3 years ago

Today, I am 30 and saying goodbye to my twenties. As I celebrate this milestone, I want to take a moment to reflect on the incredible journey I've experienced during my twenties. The past decade was a period of profound growth, self-discovery, and transformative experiences that shaped me into who I am today. My twenties were filled with many highs and some lows, but through it all, I was resilient and persistent. I faced challenges head-on and learned important lessons along the way that shaped my perspective and enlightened my understanding of life. One of the most significant aspects of my twenties was the journey of taking back my own happiness and self-discovery. I uncovered my passions, strengths, and true purpose. This journey allowed me to embrace my authentic self and my dreams. I learned to respect myself, my time, and my energy more. I realized the importance of setting healthy boundaries, prioritizing self-care, and surrounding myself with positive individuals in my life. By honoring my needs and valuing my well-being, I have created a solid foundation for personal growth and fulfillment. Part of the process involved removing negative energy and people from my life. I recognized those who didn't genuinely want the best for me. Letting go of toxic relationships allowed me to create the space I wanted for positivity, growth, and healthier connections. Another pivotal moment during my twenties was a career change. Recognizing my desire for alignment between my passion and my profession, I bravely pursued a new path. It was not easy—that decision required courage, determination, and betting on myself. I started small before reaching greater heights, and I embraced that challenge. Eventually, it led me to a career that brings me immense fulfillment and joy. My willingness to embrace change and take calculated risks has set me on a path of not only continued success but also my own goals and personal satisfaction. Amidst all of the experiences, the most precious gifts of my twenties were the arrival of my two beautiful boys. Parenthood has brought immeasurable joy, love, and purpose into my life. Through the joys and challenges of raising children, I have grown in compassion, patience, and the ability to nurture and care for others. My boys are a constant reminder of the love and happiness that fill my world every day. As I celebrate my 30th birthday, I want to express gratitude to my wife, my two sons, the incredible family I have, and the friends who have been there for me throughout my journey. They have witnessed everything. Through it all, their love, support, and shared memories have brought immense richness and depth to my life, reminding me of the power of real connection and the importance of cherishing these relationships I hold so close to my heart. As the next decade begins for me, I will embrace the wisdom and experiences I gained during my twenties. I will trust in my abilities and continue to pursue my dreams with passion and resilience. My thirties hold the promise of further personal growth, new adventures, and the opportunity to create lasting memories with my loved ones. Thank you all for everything! With so much love and gratitude, Geomar Milian
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Today, I am 30 and saying goodbye to my twenties. As I celebrate this milestone, I want to take a moment to reflect on the incredible journey I've experienced during my twenties. The past decade was a period of profound growth, self-discovery, and transformative experiences that shaped me into who I am today. My twenties were filled with many highs and some lows, but through it all, I was resilient and persistent. I faced challenges head-on and learned important lessons along the way that shaped my perspective and enlightened my understanding of life. One of the most significant aspects of my twenties was the journey of taking back my own happiness and self-discovery. I uncovered my passions, strengths, and true purpose. This journey allowed me to embrace my authentic self and my dreams. I learned to respect myself, my time, and my energy more. I realized the importance of setting healthy boundaries, prioritizing self-care, and surrounding myself with positive individuals in my life. By honoring my needs and valuing my well-being, I have created a solid foundation for personal growth and fulfillment. Part of the process involved removing negative energy and people from my life. I recognized those who didn't genuinely want the best for me. Letting go of toxic relationships allowed me to create the space I wanted for positivity, growth, and healthier connections. Another pivotal moment during my twenties was a career change. Recognizing my desire for alignment between my passion and my profession, I bravely pursued a new path. It was not easy—that decision required courage, determination, and betting on myself. I started small before reaching greater heights, and I embraced that challenge. Eventually, it led me to a career that brings me immense fulfillment and joy. My willingness to embrace change and take calculated risks has set me on a path of not only continued success but also my own goals and personal satisfaction. Amidst all of the experiences, the most precious gifts of my twenties were the arrival of my two beautiful boys. Parenthood has brought immeasurable joy, love, and purpose into my life. Through the joys and challenges of raising children, I have grown in compassion, patience, and the ability to nurture and care for others. My boys are a constant reminder of the love and happiness that fill my world every day. As I celebrate my 30th birthday, I want to express gratitude to my wife, my two sons, the incredible family I have, and the friends who have been there for me throughout my journey. They have witnessed everything. Through it all, their love, support, and shared memories have brought immense richness and depth to my life, reminding me of the power of real connection and the importance of cherishing these relationships I hold so close to my heart. As the next decade begins for me, I will embrace the wisdom and experiences I gained during my twenties. I will trust in my abilities and continue to pursue my dreams with passion and resilience. My thirties hold the promise of further personal growth, new adventures, and the opportunity to create lasting memories with my loved ones. Thank you all for everything! With so much love and gratitude, Geomar Milian

Geo Milian

15,654 views • 3 years ago

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.
0:17

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

Rohan Paul

50,097 views • 4 months ago

I'm joining to build and grow ElevenCreative. I've spent most of my career building for creators. ElevenLabs is one of the fastest-growing AI companies, and it's clear they've been principled about how they build for creators every step of the way: → $11M+ paid back to creators through a voice marketplace that lets you control how your voice is used and earn from it → A music product setting the ethical standard with 50/50 royalty splits, trained only on licensed data → Leading voice and audio models that support 70+ languages so creators anywhere in the world can reach a global audience and earn on equal footing → Partnerships with 450+ nonprofits and people with ALS, cancer, and stroke reclaim their voice for them and their loved ones → An all-in-one creative workspace that supports everyone from millions of creators to brands like Disney, Duolingo, and Epic Games → Tooling that unlocks new workflows, like enabling indie authors to publish audiobooks where the economics aren't cost-prohibitive, and so much more Excited to work with @matiii, Luke Harries, and an incredible team that does not stop shipping. If you have feedback on the product, or are excited to join, reach out. Will be hiring for several roles.
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I'm joining to build and grow ElevenCreative. I've spent most of my career building for creators. ElevenLabs is one of the fastest-growing AI companies, and it's clear they've been principled about how they build for creators every step of the way: → $11M+ paid back to creators through a voice marketplace that lets you control how your voice is used and earn from it → A music product setting the ethical standard with 50/50 royalty splits, trained only on licensed data → Leading voice and audio models that support 70+ languages so creators anywhere in the world can reach a global audience and earn on equal footing → Partnerships with 450+ nonprofits and people with ALS, cancer, and stroke reclaim their voice for them and their loved ones → An all-in-one creative workspace that supports everyone from millions of creators to brands like Disney, Duolingo, and Epic Games → Tooling that unlocks new workflows, like enabling indie authors to publish audiobooks where the economics aren't cost-prohibitive, and so much more Excited to work with @matiii, Luke Harries, and an incredible team that does not stop shipping. If you have feedback on the product, or are excited to join, reach out. Will be hiring for several roles.

aneri

54,146 views • 5 months ago

AFCON 2025 🇲🇦 You cant blame a country for fans failing to turn out for every match in an AFCON tournament. The problem in Africa is that we are poor in mentality and wealth. Our friends in Europe plan to watch such games a year in advance and they travel to watch them Where it is hosted. For them, things like going on vacation and enjoying recreational activities like football ⚽️ is part of life. Fans from Africa failing to travel for AFCON is not a Moroccan 🇲🇦 problem. It’s an issue with lack of patronage for African football from we Africans. The onus lies with football fans in Africa like yourself and myself to play your own part by buying tickets and going to support your team at live games at AFCON. This is how it is done in other continents, it’s not rocket science. CAF also has to come up with promotional strategies to increase awareness and fan participation across Africa. Even if AFCON was held in Nigeria 🇳🇬 you don't expect all fans to go and watch Benin play Angola fans from those countries must also come and support their teams its their duty . In Africa we are more obsessed with English Premier league and European football ⚽️ forgetting to dance in our yard before we dance Abroad. Soka25east.com
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AFCON 2025 🇲🇦 You cant blame a country for fans failing to turn out for every match in an AFCON tournament. The problem in Africa is that we are poor in mentality and wealth. Our friends in Europe plan to watch such games a year in advance and they travel to watch them Where it is hosted. For them, things like going on vacation and enjoying recreational activities like football ⚽️ is part of life. Fans from Africa failing to travel for AFCON is not a Moroccan 🇲🇦 problem. It’s an issue with lack of patronage for African football from we Africans. The onus lies with football fans in Africa like yourself and myself to play your own part by buying tickets and going to support your team at live games at AFCON. This is how it is done in other continents, it’s not rocket science. CAF also has to come up with promotional strategies to increase awareness and fan participation across Africa. Even if AFCON was held in Nigeria 🇳🇬 you don't expect all fans to go and watch Benin play Angola fans from those countries must also come and support their teams its their duty . In Africa we are more obsessed with English Premier league and European football ⚽️ forgetting to dance in our yard before we dance Abroad. Soka25east.com

Collins Okinyo

357,830 views • 7 months ago

Tears in my eyes as i type this, i feel like a proud dad right now, the journey hasn’t been a day’s one, Somto has been at this for not weeks, not months but yearssss and it’s all starting to pay off. I’ve never seen an artiste with a higher work rate than this guy and i can boldly tell you this because we’ve lived together as roomates for over a year, i would really love if all my followers and generally anyone seeing this to show some love and support by following him and supporting him, he’s now in the Top 12 of the NEXT AFROBEATS STAR competition and stands a chance at winning a 150 million naira record label deal but we need your support ❤️ UNILAG, please come through, my twitter family pls come through for me❤️
0:51

Tears in my eyes as i type this, i feel like a proud dad right now, the journey hasn’t been a day’s one, Somto has been at this for not weeks, not months but yearssss and it’s all starting to pay off. I’ve never seen an artiste with a higher work rate than this guy and i can boldly tell you this because we’ve lived together as roomates for over a year, i would really love if all my followers and generally anyone seeing this to show some love and support by following him and supporting him, he’s now in the Top 12 of the NEXT AFROBEATS STAR competition and stands a chance at winning a 150 million naira record label deal but we need your support ❤️ UNILAG, please come through, my twitter family pls come through for me❤️

Lasisi 🇬🇧

32,475 views • 8 months ago

🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:
0:11

🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:

Sahara AI 🔆

2,700,654 views • 1 year ago

IT IS TIME TO 𝐑𝐄-𝐆𝐋𝐎𝐑𝐈𝐅𝐘 𝐓𝐇𝐄 𝐏𝐋𝐀𝐂𝐄 𝐎𝐅 𝐓𝐇𝐄 𝐓𝐄𝐀𝐂𝐇𝐈𝐍𝐆 𝐏𝐑𝐎𝐅𝐄𝐒𝐒𝐈𝐎𝐍 IN OUR COUNTRY. ONCE AGAIN. ALL OVER AGAIN. I read a beautiful farewell message from a Kenyan High school teacher (Physics & Mathematics) to his colleagues, friends, students, and community. I also watched a short clip on the same! So moving, it reminded me how Teaching is, easily, the most importantly IMPACTFUL profession for national development. Indeed, the difference between the so-called First World and the rest is not how high buildings rose to the skies but how much of deliberate investments went into Education and Healthcare. Let me drop both items - farewell message and the clip - here! "Askum (Asalam Aleikum). As I prepare to bid farewell after 17 incredible years at Sheikh Ali High School, my heart overflows with gratitude and love for each of you. I feel both sad and happy as I write this. Sad, because I am leaving after an incredible 17 years filled with unforgettable memories and wonderful friendships. Happy, because I am joining my family and starting a new chapter in my life. Thank you all for the beautiful memories and the unwavering support. I will cherish the times we've spent together and carry them with me always. To my dedicated staff mates, your camaraderie, support, and understanding have made every day a joy. Working alongside such talented and committed individuals has been a privilege that I will always cherish. To the support staff, your tireless efforts behind the scenes have been crucial to our success. Your dedication and hard work have often gone unnoticed, but I want you to know that they have always been deeply appreciated. To all my current and former students, you have been the heart and soul of my time here. Your enthusiasm, resilience, and achievements have been a constant source of inspiration. Watching you grow and succeed has been one of the most rewarding aspects of my career. To the Mandera community in general and the Rhamu in particular, your love, support, and prayers have sustained me throughout my stay. You welcomed me with open arms and made Mandera feel like home. Your warmth and hospitality will always be remembered with fondness. Serving as Deputy Principal for over 10 years has been an incredible journey. Sheikh Ali High School will always remain my home. To the Secondary Schools Sports family , my experience as Secretary of Sports, KSSSA Mandera County for 14 years has been nothing short of extraordinary. The spirit, determination, and passion you have shown in sports have created some of my most cherished moments. To my dear friends, I will miss the memories we've created together. The laughter, the challenges, and the countless moments of joy have made my time here unforgettable. Your friendship has been a cornerstone of my journey, and I will carry these cherished memories with me always. Thank you all for the beautiful memories, the support, and the understanding you have shown me over the years. Mandera has been my home and will forever hold a special place in my heart. I will miss you all dearly. With heartfelt gratitude and warmest regards, Wario D. Guyo, Outgoing Deputy Principal Sheikh Ali High School."
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IT IS TIME TO 𝐑𝐄-𝐆𝐋𝐎𝐑𝐈𝐅𝐘 𝐓𝐇𝐄 𝐏𝐋𝐀𝐂𝐄 𝐎𝐅 𝐓𝐇𝐄 𝐓𝐄𝐀𝐂𝐇𝐈𝐍𝐆 𝐏𝐑𝐎𝐅𝐄𝐒𝐒𝐈𝐎𝐍 IN OUR COUNTRY. ONCE AGAIN. ALL OVER AGAIN. I read a beautiful farewell message from a Kenyan High school teacher (Physics & Mathematics) to his colleagues, friends, students, and community. I also watched a short clip on the same! So moving, it reminded me how Teaching is, easily, the most importantly IMPACTFUL profession for national development. Indeed, the difference between the so-called First World and the rest is not how high buildings rose to the skies but how much of deliberate investments went into Education and Healthcare. Let me drop both items - farewell message and the clip - here! "Askum (Asalam Aleikum). As I prepare to bid farewell after 17 incredible years at Sheikh Ali High School, my heart overflows with gratitude and love for each of you. I feel both sad and happy as I write this. Sad, because I am leaving after an incredible 17 years filled with unforgettable memories and wonderful friendships. Happy, because I am joining my family and starting a new chapter in my life. Thank you all for the beautiful memories and the unwavering support. I will cherish the times we've spent together and carry them with me always. To my dedicated staff mates, your camaraderie, support, and understanding have made every day a joy. Working alongside such talented and committed individuals has been a privilege that I will always cherish. To the support staff, your tireless efforts behind the scenes have been crucial to our success. Your dedication and hard work have often gone unnoticed, but I want you to know that they have always been deeply appreciated. To all my current and former students, you have been the heart and soul of my time here. Your enthusiasm, resilience, and achievements have been a constant source of inspiration. Watching you grow and succeed has been one of the most rewarding aspects of my career. To the Mandera community in general and the Rhamu in particular, your love, support, and prayers have sustained me throughout my stay. You welcomed me with open arms and made Mandera feel like home. Your warmth and hospitality will always be remembered with fondness. Serving as Deputy Principal for over 10 years has been an incredible journey. Sheikh Ali High School will always remain my home. To the Secondary Schools Sports family , my experience as Secretary of Sports, KSSSA Mandera County for 14 years has been nothing short of extraordinary. The spirit, determination, and passion you have shown in sports have created some of my most cherished moments. To my dear friends, I will miss the memories we've created together. The laughter, the challenges, and the countless moments of joy have made my time here unforgettable. Your friendship has been a cornerstone of my journey, and I will carry these cherished memories with me always. Thank you all for the beautiful memories, the support, and the understanding you have shown me over the years. Mandera has been my home and will forever hold a special place in my heart. I will miss you all dearly. With heartfelt gratitude and warmest regards, Wario D. Guyo, Outgoing Deputy Principal Sheikh Ali High School."

Abdishakur Hussein, OGW 🇰🇪

47,056 views • 2 years ago

Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.
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Big win for open-source LLMs! DeepSeek V4 Pro holds the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.

Avi Chawla

44,124 views • 1 month ago