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Yes I Will Read Ulysses Yes

When Richard Ellmann’s James Joyce hit the shelves in 1959, the sheer size of the book (842 pages, 100 longer than Ulysses ) was as dazzling as the degree of detail. Joyce, who had been dead for 18 years, vividly inhabited its chapters, getting drunk, going blind, spending money, spiting enemies, cogitating, and, of course, creating a series of works that immediately made literary history. Moving briskly across the first half of the 20th century (not just a single day in Dublin), Ellmann spun a

Building Effective AI Agents

Over the past year, we've worked with dozens of teams building large language model (LLM) agents across industries. Consistently, the most successful implementations weren't using complex frameworks or specialized libraries. Instead, they were building with simple, composable patterns. In this post, we share what we’ve learned from working with our customers and building agents ourselves, and give practical advice for developers on building effective agents. What are agents? "Agent" can be de

How can you make sure your brand shows up in LLM search? Adobe’s new LLM Optimizer seeks to provide the tools

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more At the Cannes Lions festival on June 16, 2025, Adobe introduced Adobe LLM Optimizer, a new enterprise-grade tool designed to help businesses improve their visibility in generative AI-powered environments. As conversational interfaces like ChatGPT, Gemini, and Claude reshape how consumers search and engage online, Adobe’s new application a

Topics: adobe ai content llm new

Salesforce study finds LLM agents flunk CRM and confidentiality tests

A new benchmark developed by academics shows that LLM-based AI agents perform below par on standard CRM tests and fail to understand the need for customer confidentiality. A team led by Kung-Hsiang Huang, a Salesforce AI researcher, showed that using a new benchmark relying on synthetic data, LLM agents achieve around a 58 percent success rate on tasks that can be completed in a single step without needing follow-up actions or more information. Using the benchmark tool CRMArena-Pro, the team a

Just add humans: Oxford medical study underscores the missing link in chatbot testing

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Headlines have been blaring it for years: Large language models (LLMs) can not only pass medical licensing exams but also outperform humans. GPT-4 could correctly answer U.S. medical exam licensing questions 90% of the time, even in the prehistoric AI days of 2023. Since then, LLMs have gone on to best the residents taking those exams and

Mel Brooks returns from the retirement home to save a galaxy 'very, very, very, very, far away'

Editor's take: If you're around my age, chances are you grew up loving at least one Mel Brooks classic. Young Frankenstein was my personal favorite, and Spaceballs cracked me up with its irreverent jabs at Star Wars and other sci-fi hits of the era. Now, nearly four decades later, Brooks is back with a sequel. After nearly 40 years, Mel Brooks is finally making a follow-up to his classic Star Wars spoof, Spaceballs. The nonagenarian announced the project with a hilarious clip parodying the open

Mel Brooks is returning for Spaceballs 2

is a news editor covering technology, gaming, and more. He joined The Verge in 2019 after nearly two years at Techmeme. Spaceballs, which was first released nearly 40 years ago, is getting a sequel in 2027 from Amazon MGM Studios. A Spaceballs 2 announcement trailer posted Thursday doesn’t have any solid details besides the date, though it does poke fun at the entertainment industry’s obsession with franchises and spinoffs by listing many of them out. (I particularly liked “DCU attempt Number

Design Patterns for Securing LLM Agents Against Prompt Injections

Design Patterns for Securing LLM Agents against Prompt Injections This new paper by 11 authors from organizations including IBM, Invariant Labs, ETH Zurich, Google and Microsoft is an excellent addition to the literature on prompt injection and LLM security. In this work, we describe a number of design patterns for LLM agents that significantly mitigate the risk of prompt injections. These design patterns constrain the actions of agents to explicitly prevent them from solving arbitrary tasks.

‘Spaceballs 2’ Could Also Bring Back Rick Moranis—and More

We’re not sure if there’s a Christmas in the Spaceballs universe, but if there is, it’s probably today. Hot on the heels of creator Mel Brooks making the news of a sequel official, a new report suggests two of the original’s main stars will be returning as well. Deadline reports that original stars Bill Pullman and Rick Moranis are both expected to return for Spaceballs 2, which is coming to theaters in 2027. Keke Palmer (Nope) is also expected to star in the film, along with Josh Gad. Pullman

Zero-click AI data leak flaw uncovered in Microsoft 365 Copilot

A new attack dubbed 'EchoLeak' is the first known zero-click AI vulnerability that enables attackers to exfiltrate sensitive data from Microsoft 365 Copilot from a user's context without interaction. The attack was devised by Aim Labs researchers in January 2025, who reported their findings to Microsoft. The tech giant assigned the CVE-2025-32711 identifier to the information disclosure flaw, rating it critical, and fixed it server-side in May, so no user action is required. Also, Microsoft no

Launch HN: Confident AI (YC W25) – Open-source evaluation framework for LLM apps

Hi HN - we're Jeffrey and Kritin, and we're building Confident AI ( https://confident-ai.com ). This is the cloud platform for DeepEval ( https://github.com/confident-ai/deepeval ), our open-source package that helps engineers evaluate and unit-test LLM applications. Think Pytest for LLMs. We spent the past year building DeepEval with the goal of providing the best LLM evaluation developer experience, growing it to run over 600K evaluations daily in CI/CD pipelines of enterprises like BCG, Astr

Integrating LLMs into security operations using Wazuh

Artificial intelligence (AI) is the simulation of human intelligence in machines, enabling systems to learn from data, recognize patterns, and make decisions. These decisions can include predicting outcomes, automating processes, and detecting anomalies. Large Language Models (LLMs) are specialized AI models designed to process, understand, and generate human-like text. Large Language Models (LLMs) are trained on diverse and extensive textual data. They are designed to understand language and a