cd /news/large-language-models/kimi-k3-and-what-we-can-still-learn-… · home › topics › large-language-models › article
[ARTICLE · art-62715] src=machinebrief.com ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Kimi K3, and what we can still learn from the pelican benchmark

Moonshot AI released Kimi K3, a new large language model that achieved top scores on the Pelican benchmark, demonstrating significant advances in AI reasoning capabilities. The benchmark's focus on complex problem-solving highlights ongoing progress in AI research.

read1 min views1 publishedJul 16, 2026
Kimi K3, and what we can still learn from the pelican benchmark
Image: Machinebrief (auto-discovered)

Home/NewsKimi K3, and what we can still learn from the pelican benchmarkJuly 16, 2026Source: Simon Willison's WeblogShare:Share this article:Get AI news in your inboxDaily digest of what matters in AI.Subscribe

source & further reading
machinebrief.com — original article The AI Agent Security Gap: A Flawed Foundation Why AI Transparency Laws May Already Be Obsolete Meet Memo: The Robot Aiming to Make Laundry Hassle-Free
── more in #large-language-models 4 stories · sorted by recency
── more on @moonshot ai 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
→ Live at https://your-agent.zahid.host ✓
Get free account → Pricing
from €0/mo · no card required
LIVE [news/kimi-k3-and-what-we-…] indexed:0 read:1min 2026-07-16 · —