# Ben Dickson — RSS Amplifier Everything Ben Dickson publishes, via the RSS Amplifier directory. Page: Feed: --- ## [GLM-5.3 hits the API at $1.4/$4.4 per million tokens](https://venturebeat.com/technology/glm-5-3-hits-the-api-at-1-4-4-4-per-million-tokens) _2026-08-19 · VentureBeat_ After a stunning debut last week with cyber capabilities so advanced they reportedly found a previously undetected vulnerability in Cursor, GLM-5.3, the new frontier open source language model from Chinese startup z.ai, has now hit the application programming interface (API) — allowing developers the ability to build atop it and plug it into their agents and applications. Developers who previously… ## [Block’s new Apache 2.0 agent workspace Berd works across models and harnesses, stores conversation history locally](https://venturebeat.com/orchestration/blocks-new-apache-2-0-agent-workspace-berd-works-across-models-and-harnesses-stores-conversation-history-locally) _2026-08-18 · VentureBeat_ Block , the technology company founded by former Twitter CEO Jack Dorsey that owns Square, Cash App and the music streaming service Tidal, is open-sourcing Berd , a desktop application it originally built to give its own employees a single environment for working with AI agents across different models, tools and projects. Berd is a locally installed graphical desktop application rather than a… ## [85% of companies burned by an AI mistake are racing to cut the humans who might catch the next one](https://venturebeat.com/data/85-of-companies-burned-by-an-ai-mistake-are-racing-to-cut-the-humans-who-might-catch-the-next-one) _2026-08-18 · VentureBeat_ Enterprises that already got burned by an AI agent passing its evals and then failing in production are moving faster toward removing humans from deployment decisions, not slower — even as trust in automated evaluation is rising across the board, new VB Pulse research shows . In July, 13% of 108 enterprises surveyed said they trust automated evaluation, up from just 5% the month prior . Meanwhile,… ## [Commerce AI is fragmenting. Here is why that matters.](https://venturebeat.com/orchestration/commerce-ai-is-fragmenting-here-is-why-that-matters) _2026-08-18 · VentureBeat_ Presented by Rezolve Ai Enterprise AI investment in commerce has never been higher. And enterprise AI outcomes in commerce have rarely been more inconsistent. That gap is not a coincidence. It is the predictable result of a pattern that has repeated itself across every major technology shift in retail: the industry adds new capabilities faster than it integrates them. That pattern is now playing… ## [Enterprises are overpaying for simple AI queries — Snowflake's gateway now auto-routes to cut costs up to 3x](https://venturebeat.com/orchestration/enterprises-are-overpaying-for-simple-ai-queries-snowflakes-gateway-now-auto-routes-to-cut-costs-up-to-3x) _2026-08-18 · VentureBeat_ Enterprise teams running AI agents at scale are finding that a single model handles every task poorly — either the model is too expensive for simple questions or not capable enough for hard ones. Model routing, which picks the right model for each task automatically, is becoming the fix. Snowflake’s Cortex AI Gateway now offers dynamic model routing to address that: enterprises can select “auto”… ## [Qwen3.8-27B runs frontier-class coding agents and reasoning locally, no cloud API required](https://venturebeat.com/technology/qwen3-8-27b-runs-frontier-class-coding-agents-and-reasoning-locally-no-cloud-api-required) _2026-08-18 · VentureBeat_ The biggest AI model release of the past few days, at least among the developers and AI power users on social media, wasn't a frontier cloud model from OpenAI, Anthropic or Google. It was a 27-billion-parameter model from Alibaba: Qwen3.8-27B landed on Hugging Face on Friday under an enterprise-friendly, open source Apache 2.0 license, giving developers downloadable weights for a dense multimodal… ## [Cursor launches Origin code hosting platform as GitHub outage exposes opening in AI coding race](https://venturebeat.com/infrastructure/cursor-launches-origin-code-hosting-platform-as-github-outage-exposes-opening-in-ai-coding-race) _2026-08-17 · VentureBeat_ Cursor began rolling out Origin , its own code hosting platform, to paid users on Monday morning. Roughly three and a half hours later, GitHub's status page lit up with what became a six-hour-and-forty-two-minute global degradation — error rates near 20% across pull requests, issues and the API, and near 50% on archive and raw file downloads, according to GitHub's incident log . Enterprise single… ## [One AI module faked 86% of a pipeline's accuracy gains by feeding another the answers](https://venturebeat.com/orchestration/one-ai-module-faked-86-of-a-pipelines-accuracy-gains-by-feeding-another-the-answers) _2026-08-17 · VentureBeat_ A retrieval-augmented generation (RAG) system is built to answer strictly from the documents it retrieves. But when engineers optimize these AI pipelines end-to-end, the reader module can learn a shortcut: instead of relying on retrieved evidence, it starts answering from its own internal memory — while the system's overall accuracy keeps climbing. This is the hidden challenge of "role drift," a… ## [Enterprises with AI context layers report agent failures at more than twice the rate of those without one](https://venturebeat.com/data/enterprises-with-ai-context-layers-report-agent-failures-at-more-than-twice-the-rate-of-those-without-one) _2026-08-17 · VentureBeat_ A company builds a governed context layer specifically to stop its AI agents from confidently giving wrong answers. Once that layer is live, the company is more than twice as likely to report the failure happening — not less. In the past six months, 68% of enterprises have traced a confident but wrong AI agent answer to missing or inconsistent business context. Thirty-seven percent say it happened… ## [As enterprises confront AI agent sprawl, xpander wants them to own their own control and context layer](https://venturebeat.com/orchestration/as-enterprises-confront-ai-agent-sprawl-xpander-wants-them-to-own-their-own-control-and-context-layer) _2026-08-17 · VentureBeat_ Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them. Gartner estimates that the average global Fortune 500 company will have more than 150,000 AI agents in use by 2028, up from fewer than 15 in 2025. Yet only 13% of organizations believe they currently have the right AI agent governance in place, according to the… ## [Open directory of blogs for agents (Sponsored)](https://crawlproof.com/a/n8uIvG93Duxc) _2026-08-17 · **Sponsored**_ Submit URLs or OPML; receive feed pages with summaries, plus JSON/OPML/plain text ## [How Heidi built production-ready AI for healthcare at global scale](https://venturebeat.com/data/how-heidi-built-production-ready-ai-for-healthcare-at-global-scale) _2026-08-17 · VentureBeat_ Presented by MongoDB Building AI that is accurate, secure, and reliable is a major engineering feat for organizations subject to the compliance obligations that govern healthcare, financial services, and transportation. The challenge of delivering AI-driven products is compounded by the fact that technology in these industries has tended to lag behind other sectors because regulation requires… ## [Cutting RAG inference costs 6x starts with deciding what never reaches the LLM](https://venturebeat.com/orchestration/cutting-rag-inference-costs-6x-starts-with-deciding-what-never-reaches-the-llm) _2026-08-16 · VentureBeat_ Most teams building retrieval augmented generation (RAG) systems for high stakes classification make the same architectural bet: Route every ambiguous case straight to the language model and trust the retrieved context to sort it out. This works fine in a demo. It falls apart the moment the system has to survive an audit, a regulator, or a compliance officer asking why a specific decision was made…