Dell Technologies announced updates to its AI Data Platform that extend its data orchestration and data processing engines to support agentic AI and move toward an agentic data center architecture. The Dell Data Processing Engine is intended to run on Nvidia GPUs using the cuDF library to accelerate enterprise data preparation. These releases add a Unified Semantic Layer, Enterprise Knowledge Graph, and Knowledge Agents and bring processing closer to storage to reduce data movement for building AI-ready context.
Thoughts from San Francisco reflects on how different groups use AI and argues that personal AI agents are not yet ready, even as the author cites new agent-related product updates. The article highlights a rollout in the next two weeks for Google Docs opening Markdown files without converting them. It shifts emphasis toward building blocks (speed, interfaces, side threads, visible memory) and expecting more devices/surfaces plus shared “factories” rather than personal agents as the end goal.
SAP announced that it is expanding Joule into an agentic work layer for interacting with agents across enterprise work outside apps, not just within them. General availability of SAP’s Autonomous Enterprise architecture, along with Joule Work and Desktop, starts this month with October as the key milestone for broader rollout. Customers will get updated agents across finance, supply chain, spend, and workforce/customer experience, plus an interface that pulls information from multiple systems to deliver single business answers with governance and auditability.
IronBee Express demoed a browser agent built around Jev that completed a checkout in 6.7 seconds using 9 actions and $0.00054 decision cost, with no LLM in the loop for the steps. The recorded run happened on a real iPhone 15 Pro checkout and finished in 6.7 seconds (9 actions). The system shifts from LLM-based step generation to Jev’s typed-choice decisions plus tighter latency/cost controls and smarter option text, with LLM help only when Jev can’t proceed.
Ghost emerged from stealth after a year of building and announced a personal-AI hardware computer called Core, along with an $11M seed round led by Andreessen Horowitz. The Core device costs $3,499 and includes an Nvidia RTX Pro 4000 SFF Blackwell GPU. The company plans to start preorders on Monday with shipping in the last week of October and to deliver model and software updates via over-the-air updates so the agents can run locally.
Ghost, an AI agent hardware startup, raised $11 million to develop its Core device for continuously running personal AI agents locally. The first batch of Core units sold out at a price of $3,499 each. Ghost will now focus on building and taking orders for a second batch of the locally hosted “brain in a box” hardware.
RISED trains a single LLM agent across multiple interactive environments using rubric-based rollout tagging to select training data and to add token-level supervision via self-distillation. In evaluation across model backbones, RISED achieves the highest mean pass rate across environments and ranks first or second in every individual environment. As a result, learning is guided by richer within- and cross-environment behavioural feedback instead of only scalar rewards, improving pass rates across all tested environments.
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