30 year old weirdo.
Joined September 2020
- Tweets26.6K
- Following658
- Followers1.2K
- Likes33.9K
Pinned Tweet
Many have asked me for resources to get started in learning AI.
So I wrote a small post with resources that will help you master the basics.
Although optional, if you complete all the resources, I guarantee you, you will have a strong foundation in AI.
Link in the reply👇🏻
I told my dad India is going to chase this down in 15 overs, and my dad said there is no way.
Look at the score now, the highest T20 power play total. lol
More people have read into Rashmika-Vijay videos in the last few days than archaeologists did studies on Keezhadi.
Vijay retweeted
The Government™ has made an ad about the protests happening around the world, and it’s surprisingly honest and informative.🌍🌎🌏
Vijay retweeted
Tried once youtube.com/watch?v=SsYyqnu3… Got some good feedback too. But kind of got lazy and gave up.
We need automated airgun/paintball gun turrets like the ones on video games.
'I clean, they dirty faster': MP's Bittu Tabahi may quit cleaning river forever timesofindia.indiatimes.com/…
You're telling me there is a open weights model that's better than Astra???
Kimi K3.1 Pro launches at 4th on the Artificial Analysis Intelligence Index scoring 55, making large gains in agentic performance; it will be the leading open-weights model once its weights are published
@Kimi_Moonshot's new reasoning model gains 11 points over Kimi K3 (max, 44). It trails only Claude Opus 5.5 (max with fallback, 58), Claude Sonnet 5.5 (max with fallback, 56), and Muse Wonder Full (max, 56) on the Intelligence Index.
Once the weights for K3.1 Pro are released it will be the highest-scoring open weights model and the gap between the leading open weights and proprietary models on the Intelligence Index will narrow from 12 points to 3.
Key results:
➤ Large gains in agentic performance: Kimi K3.1 Pro scores 3rd on GDPval-AA with 1,846 Elo, up 312 Elo from Kimi K3, behind only Claude Opus 5.5 (1,866 Elo) and Muse Wonder Full (1,857 Elo). Kimi K3.1 Pro also achieves the highest score of any model on Terminal-Bench 4.0. K3.1 Pro scores 67%, up from 13% for Kimi K3 and ahead of Claude Sonnet 5.5 (64%). AutomationBench-AA, which tests agentic SaaS workflows, rises from 58% to 73%.
➤ Gains in other evals are more moderate: Humanity's Last Exam rises from 47% to 52%, CritPt from 23% to 25%, and SciCode from 59% to 61%. AA-Omniscience Index rises from 20 to 30, as the hallucination rate falls from 53% to 44% and accuracy rises from 48% to 51%.
➤ Cost per Task roughly equal to Kimi K3 at $1.98 per Task: K3.1 Pro uses 55K output tokens per Intelligence Index task, 14% more than Kimi K3 at 48K, while its first-party token prices are 33% lower.
Additional model details:
➤ Context window: 1M tokens.
➤ Size: 2.8T total, 104B active parameters
➤ Input modalities: Text and image
➤ Weights and license: Weights currently not published, Moonshot is expected to release the weights soon after launch
➤ Pricing: $2/$10/$0.20 per 1M input/output/cache hit tokens, 33% lower than Kimi K3 on all three rates.
Congratulations to the team at @Kimi_Moonshot on the release!
