Logosmonger @logosmonger

Kimi K3 on legal tasks is ~2x fable perf 🤯 The benchmark is from Harvey and involves hard autonomous legal work Kimi K3 at 26.7%, vs Claude Fable 5 at 14.2%.

🚨BREAKING: SpaceX just ordered about 1 MILLION new GB300 GPUs pushing Colossus compute towards 2GW Foxconn named as manufacturing partner >13,000+ racks = 936,000 GPUs >$4M per rack = $52 billion order >deliveries late 2026 SpaceXAI is playing to WIN.

keyboard_arrow_left Previous keyboard_arrow_right Next

If we do this chart for Russia, we can see that Putin was better able to deliver growth when he wasn't saber-rattling at his neighbors.

Crémieux @cremieuxrecueil

3 days ago

Let's do this for some more countries. This time, I'll focus on weird ones! First up: Switzerland! The only country governed by a "magic formula". I put down both GDP and GNI here to account for the period when the liberal conservatives (BDP) governed (tax haven stuff).

5 5 218 102K 84

Data centers barely use any water, barely use any land, and they lower electric bills.

The CEOs of Anthropic and OpenAI watching China release yet another open-source AI model that’s ahead of GPT-5.6 and just behind Fable 5

Qwen @Alibaba_Qwen

a day ago

Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to

1K 3K 24K 7.6M 5K

1. Open source models are le bad and also decel 2. Government should make them banned 3. You should rent tokens from our price fixed oligopoly forever and be under threat of us removing access for any reason 4. My text is all lowercase because it's the vogue thing 5. No non ono

Qwen @Alibaba_Qwen

a day ago

Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to

1K 3K 24K 7.6M 5K

Competition between US and Chinese AI models is heating up: The proportion of tokens used by US firms that run through Chinese AI models on OpenRouter is up to a record ~58%. OpenRouter is a platform that allows developers and companies to access and compare AI models from multiple providers, making it a useful gauge of real-world AI model adoption. This percentage has TRIPLED since mid-January, overtaking American peers on the platform for the first time in March. The token share of Chinese models briefly rose as high as 63% in the first week of July. By comparison, Chinese models accounted for less than 10% of usage at the start of 2025, while US models accounted for ~80%. DeepSeek has emerged as the most popular choice among American firms in recent months. Chinese AI models are rapidly gaining market share.

China graduated ~ 44× as many materials science bachelors as the US in 2024, to put data to it. It's the most drastic asymmetry of any major engineering field. Though it's neither country's top field. (China graduates ~7-10x as many undergrad engineers per year overall)

Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex

3 days ago

China is really obsessed with material science they graduate buttloads of these researchers, publish like 60% of the world's total high impact material science and engineering research and nobody pays attention not a marketable "product"

25 111 1K 109K 226

🚨 DeepSeek V4 (GA) is reportedly in testing. Early reports suggest: • Opus 4.8-level performance • Much stronger agentic behavior • Significant coding improvements • Major gains in 3D generation • Direct competitor to Kimi K3 and Claude Fable • Rumored pricing: $0.0028 per 1M tokens If that pricing is accurate, DeepSeek V4 could be orders of magnitude cheaper than today's frontier models while delivering near-frontier intelligence. This could be one of the most disruptive AI releases we've ever seen. Performance is becoming a commodity. Cost will become the battlefield.

Benchmarks for Qwen 3.8 are starting to surface! This is looking very strong, close to Fable 5:

AICodeKing @aicodeking

a day ago

Qwen 3.8 Max is actually a very good model. Outperforms all Opus models in my benchmarks. There are some issues in tool calling with some harnesses. But, the raw intelligence is just crazy.

48 67 911 110K 159

Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! 🚀  Token Plan international：qwencloud.com/pricing/token-… China：platform.qianwenai.com/pricing/token-…

Kimi K3 debuts at #3 on DeepSWE. It's the first open-weights model that delivers frontier-level performance, achieving results similar to Claude Fable and GPT-5.6 Sol.

PREDICTION after kimi k3 successful launch and mogs opus 4.8, Dario Amodei is gonna write an essay explaining how open-weight Chinese AI threatens democracy, national security, and the future of humanity

china is dropping open source models that are "too dangerous to be made public" and you are laughing?

wh @nrehiew_

4 days ago

Here are a few benchmark scores of K3 that have been officially confirmed This is a Fable/Sol class model that is strictly better than Opus 4.8 across the board at Sonnet pricing. Insane

74 183 3K 1.2M 601

insane. they distilled american frontier models that haven't even been invented yet. damn chinese

Arena.ai @arena

4 days ago

Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5. This is a 17-place jump from Kimi-k2.6 (#18 -> #1). In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics,

1K 4K 26K 18.6M 8K

Kimi K3 scores 57 on the Artificial Analysis Intelligence Index. Its intelligence is comparable to Opus 4.8 and GPT-5.5 but remains behind Fable 5 and GPT-5.6 Sol. Moonshot AI has expressed plans to release the 2.8T parameter model's weights, which would make it the leading open weights model Key results: ➤ Strong agentic task performance: @Kimi_Moonshot's Kimi K3 reaches an Elo rating of 1668 on GDPval v2. This is a marked improvement over K2.6’s 1190, surpassing GLM-5.2 (1514), GPT-5.5 (1494), and Claude Opus 4.8 (1600). However, it still lags behind Claude Fable 5 (1760). Kimi K3 also scores an impressive 53% and takes the #1 position on AutomationBench-AA, our implementation of Zapier’s Agentic SaaS workflow evaluation. ➤ Second-highest performance on AA-Briefcase (agentic knowledge work): On our private long-horizon knowledge work evaluation, Kimi K3 reaches an overall Elo of 1547, +732 points from Kimi K2.6 and behind only Claude Fable 5. It is well-rounded: its rubric scoring and analytical quality almost reach Claude Fable 5’s scores, while GPT-5.6 Sol continues to outperform other leading models on presentation quality. ➤ Set to lead open weights models once weights are released: Moonshot AI has not yet released the weights but expressed plans to do so. Once available, Kimi K3 would clearly lead other open weights models including GLM-5.2 (51) and DeepSeek v4 Pro (44). However, at 2.8T parameters, it is significantly larger than its open weights peers (eg. GLM-5.2 at 753B params and DeepSeek V4 Pro at 1.6T), as well as the Kimi K2 to K2.6 models (1T params). ➤ Cost per task ($0.94) is similar to GPT-5.6 Sol ($1.04), ~1/2 the price of Opus 4.8 ($1.80) and higher than open weights peers: Moonshot AI’s pricing for K3 is significantly higher than their K2 pricing (K3’s output token price is $15/1M tokens while K2.6 was $4). This positions the model as cheaper on a cost per task basis than Opus 4.8, similar to GPT-5.6 Sol ($1.04) and more expensive than open weights peers, GLM-5.2 ($0.32) and DeepSeek V4 Pro ($0.04) ➤ Improved token efficiency alongside higher intelligence: Kimi K3’s token usage on the Artificial Analysis Intelligence Index decreased significantly, using 21% fewer output tokens than K2.6. The new model used approximately 132M output tokens to complete all nine evaluations, compared to approximately 166M for K2.6, while achieving higher scores. ➤ Native multimodal capabilities: Kimi K3, like K2.6, is released with native image and text multimodal input. If weights are released, this will position Kimi K3 as one of the leading open weights models with multimodal input capabilities Other model details: Context window: 1M Size: 2.8T total parameters Pricing: The first-party API is priced at $3.00/$15.00 per 1M input/output tokens, with cached input discounted 90% to $0.30 per 1M tokens. Modality: Native multimodal input supports text and images, and the model remains text-only for output. Accessibility: Accessible at launch through Moonshot’s first party API. Model weights are not yet released but Moonshot AI has expressed plans to do so.

Kimi K3 💪🏻

Grok 4.5 is actually pleasure to work with... wtf

Kimi K3 - 2.8T Parameters - 1M Context Length Benchmarks > GDPval-AA v2: 3rd place, ranks > directly below GPT 5.6 Sol Max & Fable 5 Max > AA-Briefcase: 2nd place, beats GPT 5.6 Sol Max, right below Fable 5 Max > BrowseComp: 1st place, beating GPT 5.6 Sol Max & Fable 5 Max

Ahmad @TheAhmadOsman

4 days ago

Kimi K3: The Opensource AI Frontier

21 31 460 113K 76