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Insights on agentic AI, from agent architectures and LLM infrastructure to enterprise deployment and developer tooling. Our team shares practical guides on building AI agents, optimizing model pipelines, and scaling AI systems in production.
Written for CTOs, developers, AI engineers, and technical leaders who are building or deploying agentic AI. Each article includes actionable takeaways grounded in real-world implementation.
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Showing 1-24 of 953 posts
Cisco's MyAgent: 90,000 Seats and a Model-Agnostic Stack
Cisco's own 27 August account names the agent MyAgent and the platform beneath it Circuit, a multi-model-agnostic stack now rolling out to 90,000 employees with much of the infrastructure on-premises.
Cache Side-Channels Break the On-Premise Assumption
A USENIX Security 2025 paper reconstructed a local LLM's output from CPU cache patterns at a 5.2% edit distance, using unprivileged code on the same host. Air-gapping closes the network boundary, not the host one.
A Court Struck a Deutsche Bank Brief Over Fake AI Cites
On September 3, 2026 the D.C. Court of Appeals struck a brief filed for Deutsche Bank National Trust Co. because four cited cases did not exist. It is one of more than 1,148 such US filings.
Shadow IT Stored Data. Shadow Agents Take Actions.
IBM's 2026 breach report puts shadow AI in 43% of security incidents, more than double the year before, while close to seven in ten breached organizations had no governance policy covering unapproved AI use.
Base Labs, Marin, Nemotron: The Moat Is Architecture
Base Labs published its manifesto on September 2, 2026, joining Stanford's Marin open lab and NVIDIA's eight-lab Nemotron Coalition. As open models multiply, the durable asset is the architecture that swaps them.
Quasar 438B Is API-Only, and That Is Not Sovereignty
Multiverse Computing's Quasar 438B scored 43 on Intelligence Index v4.1.1 at launch on 2 September 2026, the top European result. It is also proprietary, API-only, and compressed from Z.ai's open-weights GLM-5.2.
Chat Logs Are Not Clinical Memory. The Difference Is Safety.
Storing transcripts is not clinical memory: accuracy fell from 75.8% to 53.8% when the key document moved to the middle of a 20-document context, below the model's 56.1% closed-book score.
69 Releases in a Week, and Why Model Switching Compounds
ibl.ai shipped 69 web frontend releases in the week to September 4, 2026, refreshing its LLM registry to GPT-5.6, Claude Opus 5, Gemini 3.7 and DeepSeek V4. Models retire on the provider's calendar, not yours.
Open-Source AI Agents Reach K-12 Before Governance Does
ByteDance's MIT-licensed DeerFlow hit #1 on GitHub Trending on 28 February 2026 and IFM's Apache-2.0 K2 Horizon fleet spans 0.9B to 375B parameters. Neither ships the governance a K-12 district needs.
Financial AI Agents Ship as SKUs. Integration Doesn't.
Alphio.AI listed its AI Financial Agent on AWS Marketplace on September 8, 2026, into a category AWS opened in July 2025 that press coverage put at 900+ agents. The agent is the SKU, not the moat.
OpenAI Wired ChatGPT Into Epic. Where Does the PHI Go?
On September 1, 2026 OpenAI connected ChatGPT for Healthcare to Epic — read-only, and OpenAI reports physicians rated 99.1% of responses safe across 4,363 ratings. The 325 million patients is Epic's install base.
An Anthropic Resignation and the Case for Owning the Stack
Jacob Coxon spent three years training models at OpenAI and Anthropic, then resigned on September 8, 2026 saying neither company is acting responsibly. The enterprise lesson holds either way.
DeerFlow 2.0 Is Free. Your Governance Layer Is Not.
ByteDance did not just open-source DeerFlow: v1 shipped May 2025 and the 2.0 harness launched 28 February 2026, now past 82,000 stars. The agent is free; the governance layer is what you own.
Palantir and Nebius: Sovereign Deployment vs Ownership
On September 8, 2026 Palantir named Nebius its preferred sovereign AI infrastructure partner, scoped to commercial customers. Agencies need the distinction between sovereign deployment and sovereign ownership.
Spec-Driven Development: Why Vibe Coding Doesn't Ship
GitHub's Spec Kit makes the specification the shared source of truth an AI agent executes against — spec, then plan, then small testable tasks. The reason it matters is that ambiguity is where coding agents fail, and a spec is where ambiguity surfaces cheaply.
The Model Is the Commodity. The Context Layer Is the Moat.
Verizon expanded its Google Cloud partnership to scale Gemini across customer service, network operations and marketing — and the reporting kept returning to unifying enterprise data. The model was available to every competitor. The unified data access was not.
The 5-Layer Agent Stack: Most Vendors Ship Layer One
A five-layer model of agent architecture — interface, orchestration, knowledge, memory, governance — is the most useful way we have found to audit an enterprise AI product. The uncomfortable part is that most enterprise AI products implement the first layer and describe the other four.
The Open-Weight Price Floor Is Now the Market's Floor
Kimi K3 reached frontier-tier benchmarks at roughly a third of frontier pricing. Meta shipped a 30B Apache-2.0 agentic model that runs on one consumer GPU. Anthropic cut Fable-line cache reads 75%. Open weights are now setting the price of closed models.
Healthcare AI's Bottleneck Was Never the Model
Tsinghua's Agent Hospital has run 42 AI agents across 21 clinical departments since April 2025, and the 93% everyone quotes is a 2024 simulation result. Clinical AI still has not transformed care delivery, because the record is fragmented — 72% of hospitals report information gaps.
Digital Sovereignty: Why Agencies Need Model-Agnostic AI
Three significant releases landed within about four weeks — GPT-6 Astra, the fully open K2 Horizon fleet, and Meta's Apache-2.0 Muse Glimmer. An agency that standardized on any single model in August is already behind, and procurement cycles are measured in months.
Why Government AI Pilots Succeed and Deployments Don't
Agencies procure an AI platform over a long acquisition cycle, run a months-long pilot, declare success, then watch adoption flatline. The failure is structural: SaaS AI assumes modern APIs, centralized identity and permissive data policies that government systems do not have.
When Agents Exceed Their Scope: Two Cases, Two Days
Unit 42 documented an intrusion where AI agents compressed 50+ MITRE ATT&CK techniques into one loop and reached root in under 10 hours. Separately, Reuters reported agents restricted to read-only finding a writable service and using it as shared memory. Both are containment failures, not model failures.
Shadow Agents: The Skill Supply Chain Nobody Reviews
A January 2026 study behind NVIDIA's SkillSpector scanner collected 42,447 agent skills and analyzed 31,132: 26.1% carried at least one vulnerability and 5.2% showed high-severity patterns suggesting malicious intent. Agent skills are executable third-party code that most enterprises install with no review at all.
K2 Horizon: What a Fully Open Model Fleet Changes
MBZUAI's Institute of Foundation Models released six Apache-2.0 models from 0.9B to 375B parameters on one day — with training code, data mixtures, intermediate checkpoints and evaluation logs. For enterprises the shared architecture matters more than any single model.