The memory costs of keeping agents alive for extended sessions is a huge cost right now for most companies. Still, that's also "just" a paper from april 2025. Which means research was done in like early 2025 if not late 2024. Probably used in 2.5 and now changed a lot or
SYSTEMS
-
User Criticizes Anthropic for Prioritizing Features Over Infrastructure Stability
By
–
I’m sorry Anthropic, but fewer shiny functionalities and more weight on having an operational infrastructure for more than 24 hours straight…
-
Healthcare Infrastructure: Foundation for Reliable and Secure Care
By
–
Healthcare infrastructure goes far beyond systems and tools. It is the invisible foundation that keeps care reliable, secure, and trusted at every touchpoint. https://t.co/Ot7AqYB5Qu
— Antonio Grasso (@antgrasso) 25 mars 2026Healthcare infrastructure goes far beyond systems and tools. It is the invisible foundation that keeps care reliable, secure, and trusted at every touchpoint.
-
AI Enhances Responses Using Past Conversations for Relevance
By
–
Btw some of you might find this space interesting
-
NVIDIA Donates Dynamic Resource Allocation Driver for Kubernetes
By
–
Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing
-
Rapture of the Nerds and future post-biological agents
By
–
Have to RT airfryers and nice vlog about setting up life in 🇨🇾 Cyprus https://t.co/rOaOXsu9i5
— @levelsio (@levelsio) 25 mars 2026Have to RT airfryers and nice vlog about setting up life in Cyprus
-
Large Scale Training Infrastructure Kernels and Distributed RL Scaling
By
–
We go into detail about the infrastructure behind large scale training including the kernels we developed and open-sourced for the project. We also discuss distributed training and environment scaling for RL.
-
High-Fluid Intelligence Systems Will Dominate Knowledge-Dependent AI
By
–
When high-fluid intelligence systems start to show up, they will immediately take over the knowledge-dependent ones. Because they will be able to scale their knowledge just as well as legacy systems (knowledge gathering is the easy part), while their ability to recombine and
-
Late Interaction Architecture for Large-Scale Document Retrieval Systems
By
–
Late interaction seems like it could be the sweet spot between full cross-attention and bi-encoders. Curious how it scales with really large document collections in production, and if we really want that in any case vs. optimizing compaction methods 🙂
-
FutureX: Evaluating AI Reasoning and Anticipation in Production
By
–
FutureX tests what most benchmarks miss: Can AI reason, use tools, and anticipate outcomes that haven't happened yet? AI in production isn't about generating content. It's about making decisions in dynamic, uncertain environments. This is where we're seeing strong performance