— Pika (@pika_labs) 11 juin 2026
this AI skill can turn your video into any language with great lip sync.. Pika MCP make it so real x.com/pika_labs/stat…
TOOLS
-
Speaking Finnish fluently with Pika MCP Language Swap Skill
By
–
— Pika (@pika_labs) 11 juin 2026
Never knew a day would come where I'd actually speak Finnish fluently I uploaded a video of myself, ran it through the Language Swap Skill on Pika MCP and watched myself speak a completely different language- cloned voice, perfect lipsync. I honestly had to watch it twice.
-
Stop doing things that don’t matter, use MCP to dub to Mandarin
By
–
— Pika (@pika_labs) 11 juin 2026
Stop doing things that don't matter. Instead do things that resonates with yourself I love making communication easy, and tearing down barriers using technology Here I used Pika's MCP to quickly dub myself to mandarin, because I like this stuff Time for me to go global x.com/pika_labs/stat…
-
Gemini Omni Flash: SOTA in image, text to video and editing
By
–
Gemini Omni Flash is SOTA at image to video, text to video, and video editing : ) Excited to get this to developers in the API soon!
-
Rippling’s AI-native transformation across products in 6 months
By
–
How they shipped this in 6 months https://
langchain.com/blog/how-rippl
ing-went-ai-native-across-every-product-in-6-months-with-deep-agents-and-langsmith
… -
Rippling’s AI-native transformation across all products in 6 months
By
–
How they shipped this in 6 months https://
langchain.com/blog/how-rippl
ing-went-ai-native-across-every-product-in-6-months-with-deep-agents-and-langsmith
… -
@clementdelangue — 2026-06-11
By
–
HF est devenu la meilleure plateforme de stockage pour les modèles et les jeux de données PRIVÉS et PUBLICS, qu'ils soient intermédiaires ou finaux ! Excellent exemple de @heyjasperai qui a utilisé les buckets HF pour stocker leur jeu de données Monet et entraîner des modèles
-
Speculative decoding makes LLMs 8.5x faster without accuracy loss
By
–
Researchers found a way to make LLMs 8.5x faster!
— Akshay 🚀 (@akshay_pachaar) 11 juin 2026
(without compromising accuracy)
Speculative decoding is quite an effective way to address the single-token bottleneck in traditional LLM inference.
A small "draft" model first generates the next several tokens, then the large… https://t.co/JCdqjCKcKU pic.twitter.com/HbKmRqdF5PResearchers found a way to make LLMs 8.5x faster! (without compromising accuracy) Speculative decoding is quite an effective way to address the single-token bottleneck in traditional LLM inference. A small "draft" model first generates the next several tokens, then the large
-
Duration of work sessions and cost comparison between Codex and Fable
By
–
It really depends on the duration of your work sessions. I run loops on Codex on average for 5/10 hours. This would be incredibly expensive with Fable.
-
Max Agency podcast: Tool design tricks behind Benchling’s AI agents
By
–
Listen to the latest Max Agency, hosted by @hwchase17
: YouTube: https://
youtube.com/watch?v=RjpTrf
fSMjE
… Apple Podcasts: https://
podcasts.apple.com/us/podcast/the
-tool-design-tricks-behind-benchlings-ai-agents/id1891551672?i=1000771169985
… Spotify: https://
open.spotify.com/episode/2bFEj2
W290bk2JW1zC6wyp
…