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We ran 904 DeepSWE rollouts on DeepSeek V4 Pro 0813 and GPT-5.6 Sol. Sol leads pass@1 by 10 points at 35x the cost; Pro wins pass@4, and a Pro-first cascade hits 83.0%.
We ran 904 DeepSWE rollouts on DeepSeek V4 Pro 0813 and Claude Fable 5. Fable leads pass@1 at 90x the cost; Pro wins pass@4, and a Pro-first cascade hits 82.7%.
DeepSeek-V4-Flash-Vision-Exp is now live on the DeepSeek API Platform! 🚀
Every lab CEO is on X now
Glean CEO Arvind Jain explains why model routing helps control AI costs for organizations, and how human feedback loops at scale improve its routing systems.
We ran 900 DeepSWE rollouts on DeepSeek-V4 Flash and GPT-5.6 Luna. Luna leads pass@1 by 14 points; DeepSeek delivers 4.8x the solves per dollar.
At the AGI Bar in Beijing, you can get free, unlimited DeepSeek tokens. Customers vibe code while sipping on beers with names like “AGI bubble” You can also buy a “Drinking Plan” which gives you free beer for the whole…
Baseten just raised a $13B Series F and is now one of the leading kings of inference engineering. We go into everything you need to know for autoregressive and diffusion engineering.
1 line of code in @aisdk saves you 90% or more in DeepSeek v4 Flash AI Gateway tokens https://t.co/bcT8sqF120
We ran 904 DeepSWE rollouts on Kimi K3 and GPT-5.6 Sol. Sol leads pass@1; Kimi K3 wins pass@4 at 2.8x the solves per dollar, and routing between them reaches ~85.6%.
We ran 452 DeepSWE rollouts on Kimi K3 and Claude Fable 5. Fable leads pass@1 by 1.4 points; Kimi K3 wins pass@4 and delivers 2.8x the solves per dollar.
Everyone is writing a lot, but only Kimi K3 shipped today
@ArtificialAnlys i love you @Kimi_Moonshot https://t.co/4lLeh8OHbH
In uncharted territory, answers to hard questions only come from repeated contact with reality. Been thinking about how quickly the US AI community converged on support for open-weight models. It feels obvious now. It w…
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now UK government: Gap between open and closed weight models…
a quiet day.
a quiet day
Based on internal evals: ▪️ Kimi K3 is top-tier at cybersecurity There is chatter on X that Moonshot benchmark-overfit. These are stealth evals. Model has raw IQ. ▪️ Sol is a leap ahead in cyber capability At a signific…
It’s fairly obvious that gate keeping models will not work at scale. Competing in AI is too economically and strategically important for China at this point, and we’ve now crossed the rubicon where it’s clear that they…
Why do you think kimi hurts Google? Many enterprises won’t consume Kimi directly. They’ll get it through Google Cloud because they still need enterprise guarantees - security, data residency, compliance and most importa…
Open-weight models like Kimi and GLM will cause a complete rethink of the enterprise AI stack. If you are running an enterprise, you need to maximimize model optionality. Here are 3 things you should be doing: 1. Evals…
Kimi K3 is the best performing model on https://t.co/aporqgIfIh, ahead of Fable, reaching a comparable success rate in less time. This is the first time that an open model is ahead of all proprietary ones for this compr…
It’s truly wild that we’re getting this level of performance from open models. Congrats to Kimi team on this. Every time we lower the cost of frontier intelligence, the use-cases that enterprises can take on just go up.…
we will vibe check Kimi K3 but i am extraordinarily skeptical of claims it’s as good as fable
Provisioned Throughput gives you reserved inference capacity for frontier open models like MiniMax M3 and GLM-5.2. Token-based pricing, a 99% uptime SLA, and up to 90% lower cost than proprietary APIs. No GPU-hour math, no infrastructure t…
a quiet day before the storm.
btw Zai IPO'ed in Jan at HK$120 a share. when I first met @louszbd nobody really knew anyone using GLM's. now they have beat deepseek with the world's undisputed top open model and in some respects (see @ml_angelopoulos…
We generated 12 landing pages with Kimi K2.7 Code and Claude Fable 5. Kimi cost 94% less and scored within a few points on every page. Here's what actually moved the needle.
Bernie Sanders introduced a bill to seize 50% of any AI startup that crosses $200M in revenue. The same anti-prosperity bloc spent the year trying to ban startup acquisitions, blocking the only exit 85% of founders ever…
MiniMax Hailuo 02 launches with NCR architecture innovation. Native 1080p generation, SOTA instruction following, extreme physics mastery. 370M videos generated, ranked #2 globally on Artificial Analy
Thinking Machines is impressive. In a couple hours I just fine tuned my own Qwen3.5-397B model this afternoon. Fast usable multimodal is also going to enable very mind-blowing personal AI. https://t.co/mm3laZb766
DeepSeek-V4 makes million-token context a serving-systems problem. Together AI explores the inference work behind V4 on NVIDIA HGX B200, including compressed KV layouts, prefix caching, kernel maturity, and endpoint profiles for long-conte…
🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.
The prodigal Tiger returns... but is no longer the benchmarks leader.
Yay Kimi!!!
Tech Report GitHub Hugging Face ModelScope DISCORD Introduction We are excited to introduce Qwen3Guard, the first safety guardrail model in the Qwen family. Built upon the powerful Qwen3 foundation models and fine-tuned specifically for sa…
QWEN CHAT GITHUB HUGGING FACE MODELSCOPE DISCORD We are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image’s unique text…
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD We are thrilled to release Qwen-Image, a 20B MMDiT image foundation model that achieves significant advances in complex text rendering and precise image editing. To try the latest model, feel fre…
PAPER DISCORD Introduction Reinforcement Learning (RL) has emerged as a pivotal paradigm for scaling language models and enhancing their deep reasoning and problem-solving capabilities. To scale RL, the foremost prerequisite is maintaining…
DEMO API DISCORD Introduction Here we introduce the latest update of Qwen-MT (qwen-mt-turbo) via Qwen API. This update builds upon the powerful Qwen3, leveraging trillions multilingual and translation tokens to comprehensively enhance the…
🚀 Launching DeepSeek-V3.2 & DeepSeek-V3.2-Speciale — Reasoning-first models built for agents!
🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model!
🚀 DeepSeek-V3.1 → DeepSeek-V3.1-Terminus
Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀