Once a Liverpool institution, Sayers has been driven out of its own city centre by Greggs. What went wrong?

A new class of AI startups say they are taking money that would normally be used to hire people and are spending it on AI compute instead.

Prefill-decode (PD) disaggregation has become the standard architecture for large-scale LLM serving, but in practice its deployment boundary is still determined by KVCache transfer. In conventional dense-attention models, prefill generates huge KVCache traffics that keep prefill and decode tightly coupled within a single high-bandwidth network domain, limiting heterogeneous deployment and resource elasticity. Recent hybrid-attention architectures substantially reduce KVCache size, making cross-cluster KVCache transport increasingly plausible. However, smaller KVCache alone does not make heterogeneous cross-datacenter PD serving practical: real workloads remain bursty, request lengths are highly skewed, prefix caches are unevenly distributed, and inter-cluster bandwidth fluctuates. A naive design that fully externalizes prefill can therefore still suffer from congestion, unstable queueing, and poor utilization.
We present Prefill-as-a-Service (PrfaaS), a cross-datacenter serving architecture that selectively offloads long-context prefill to standalone, compute-dense prefill clusters and transfers the resulting KVCache over commodity Ethernet to local PD clusters for decode. Rather than treating reduced KVCache as sufficient, PrfaaS combines model-side KV efficiency with system-side selective offloading, bandwidth-aware scheduling, and cache-aware request placement. This design removes the requirement that heterogeneous accelerators share the same low-latency RDMA fabric, enabling independent scaling of prefill and decode capacity across loosely coupled clusters. In a case study using an internal 1T-parameter hybrid model, a PrfaaS-augmented heterogeneous deployment achieves 54% and 32% higher serving throughput than homogeneous PD and naive heterogeneous baselines, respectively, while consuming only modest cross-datacenter bandwidth.

The Thus chip will first be in new earbuds.

Build workspace agents in ChatGPT that automate multi-step workflows across Slack, Google Drive, Microsoft SharePoint and other enterprise tools—with governance and admin controls.

JavaScript chaining looks clean at first, but it can hurt readability and hide extra work. Here

Executive Summary: 

* Anthropic appears to have removed access to Claude Code for its $20-a-month "Pro" Plans.
* Current Pro users appear to still have access via the Claude web app.
* Claude Code support documents exclusively refer to accessing Claude Code via "your Max Plan," after previously saying you could access "with

This is the second in a series of posts about anonymous credentials. You can find this first part here. In the previous post, we introduced the notion of anonymous credentials as a technique that a…

Fields Medal Video: Maryna Viazovska on Simons Foundation

do third-party integrations via HTTP header management

According to her profile, she was a registered nurse with Jennifer Lawrence looks who offered red meat posts to lonely conservative men online.

Public Claude Mythos Preview access and response evidence, status labels, source links, and latest changes.

Brief facts about the Tanum World Heritage rock carvings - what do they represent, how old are they and when were they discovered?

A look at the Palantir manifesto, a logical conclusion of the War on Terror

Contribute to BlackBeltTechnology/pi-agent-dashboard development by creating an account on GitHub.

Deploy to the web with a single command. Netlify for AI agents — instant hosting, serverless functions, and edge computing.

The encyclopedia you write with AI. Explore and contribute articles on any topic. Every fact is sourced.

Both KV cache and weights modulate activations. Context is software running on frozen hardware. Weight updates redesign the hardware itself. The difference matters more than most people think.

Cisco, Juniper, Fortinet, and MikroTik devices allegedly rebooted or disconnected during the conflict.

Every 2025 FBS player, mapped by hometown. From Torch Football. Pick a team or compare two.

If you’ve been struggling with the high resource overhead of tail sampling, check out retroactive sampling, an approach that significantly reduces sampling overhead for distributed tracing in OpenTelemetry.