Awesome blogpost! RL Scaling Laws for LLMs How scaling laws have evolved from pretraining to reinforcement learning… https://
cameronrwolfe.substack.com/p/rl-scaling-l
aws
…
GENERATIVE AI
-
RL Scaling Laws for LLMs: From Pretraining to RL
By
–
-
Claude Fable 5 claims #1 on DeepSWE Bench with 66% Pass@1
By
–
Claude Fable 5 has debuted on DeepSWE Bench with a 66% Pass@1, claiming the #1 spot and edging out GPT-5.5. The result reinforces a broader trend across recent coding benchmarks: strong raw performance combined with consistent reliability and efficiency in real-world software
-
Gemini for Science Could Accelerate Next Big Breakthrough
By
–
Gemini for Science Could Accelerate the Next Big Scientific Breakthrough
— Ronald van Loon (@Ronald_vanLoon) 12 juin 2026
by @GoogleDeepMind#ArtificialIntelligence #MachineLearning #EmergingTech #FutureTech pic.twitter.com/mTaw3V7quUGemini for Science Could Accelerate the Next Big Scientific Breakthrough
by @GoogleDeepMind #ArtificialIntelligence #MachineLearning #EmergingTech #FutureTech -
India’s first distilled video model Varya launched by Avataar
By
–
India's AI innovation ecosystem continues to grow stronger. With support from the #IndiaAIMission, @Avataar has developed Varya, India's first distilled video model, marking an important milestone in India's AI innovation journey. The model was launched today by Shri S
-
Wondering if first to send defunct MSN Messenger emoticon to Claude
By
–
i wonder if I'm the first person to send the defunct ^o) emoticon from msn messenger to claude
-
Projected cost of next Fable questions need for data centers
By
–
If we project this out, and the next Fable costs nearly 2x Claude Fable 5 per token, very few people will use it. Which leads me to wonder once again whether we will really need all these data centers.
-
The only exponential increase in Mythos models was cost
By
–
So the only real exponential increase with “Mythos class models” was … in … cost. No wonder Anthropic was terrified.
-
Fast KV Compaction reduces LLM memory by 50x without loss
By
–
What if you could reduce the memory of a language model by 50x in seconds without losing performance? Researchers from MIT present Fast KV Compaction via Attention Matching. They build compact key-value caches in the latent space that preserve
-
RAG with LLM: Creating an AI-Powered File Reader
By
–
RAG with LLM: Creating an AI-Powered File Reader! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding
-
Building AI Shopping Agent using Amazon Bedrock and OpenSearch
By
–
Building AI Shopping Agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless