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Presentation: Compiling Workflows into Databases: The Architecture That Shouldn't Work (But Does)

Jeremy Edberg & Qian Li discuss why external orchestrators decrease reliability and how to use your existing database for durable execution. They share how DBOS Transact uses standard tables, SKIP LOCKED queues, and unique primary keys to manage complex, fault-tolerant AI workflows with minimal latency, all without the operational overhead of separate distributed systems. By Jeremy Edberg, Qian Li

2026-07-23 原文 →
AI 资讯

Presentation: From Copy-Paste to Composition: Building Agents Like Real Software

Jake Mannix discusses moving AI agents past chaotic "1970s BASIC" architectures. He shares how implementing an intermediate protocol layer allows engineering leaders to build versioned, encapsulated "virtual tools." This design enables interface mapping, dynamic schema projection, and runtime taint tracking to proactively eliminate data exfiltration risks without slowing velocity. By Jake Mannix

2026-07-22 原文 →
AI 资讯

Tesla Robotaxis go to Florida

It must be earnings day, because Tesla is making a Robotaxi announcement. The company said in a post on X that it was launching its Robotaxi service in Orlando and Tampa, attaching a pair of maps that show each city's service area. No word on fleet size or whether interested customers would be able to […]

2026-07-22 原文 →
产品设计

Stellantis taps Mobileye for hands-free driving assist

Stellantis will use technology from Intel's Mobileye to power its Level 2 hands-free driving features for its vehicle brands, the companies announced Tuesday. Starting in 2027, Stellantis will begin using Mobileye's EyeQ system-on-a-chip and a data crowdsourcing program called the Road Experience Management, or REM, which uses real-time data from Mobileye-equipped vehicles to build out […]

2026-07-21 原文 →
AI 资讯

Presentation: Engineering AI for Creativity and Curiosity on Mobile

Bhavuk Jain discusses translating foundational AI into scalable mobile products. He shares the engineering challenges behind AI Wallpapers and Circle to Search, detailing how to implement robust runtime guardrails, fine-tuning, and seamless OS integration. For engineering leaders, he explains balancing UX constraints with model latency and infrastructure cost to deliver safe, reliable AI. By Bhavuk Jain

2026-07-21 原文 →
AI 资讯

Electric air taxis go to war

Electric aviation is still in its infancy, but manufacturers are already looking beyond mere air taxi trips across cities. Today, one of the leading air taxi startups, San Jose-based Archer Aviation, unveiled a new aircraft it co-developed with defense technology company Anduril - though the platform is designed for both military and commercial uses, the […]

2026-07-20 原文 →
AI 资讯

Presentation: Platform Engineering for Everyone - Success Can’t Be Coded

Max Korbacher explains why successful internal development platforms cannot be built on tech alone. He discusses the pitfalls of infrastructure-first thinking, the importance of a clear product mindset, and how to measure real value using DevEx and SPACE metrics. Learn how to align your team, manage tech debt, and foster a thriving community to ensure lasting platform adoption. By Max Körbächer

2026-07-20 原文 →
AI 资讯

The Difference Between a Review and an Advert

The line between editorial content and paid promotion has been eroding for years. On most major retail platforms, in countless lifestyle publications and across the breadth of social media, content that presents itself as independent assessment is frequently underwritten by the very brands being assessed. This is not a new problem, but it is a worsening one. The consequences are practical. Consumers who believe they are reading a review and acting accordingly may be making purchasing decisions on the basis of what is, in effect, an advertisement. The financial cost of that mistake is modest in most individual cases. The cumulative effect on consumer trust is not. Understanding what separates a genuine review from disguised promotional content requires more than checking for a disclosure label. It requires looking at structure, incentive, methodology and language - and recognising that some of the most effective adverts are those that most convincingly resemble reviews. What a Review Is Actually Supposed to Do A review serves one primary function: to help a reader make an informed decision about a product, service or brand. That function is incompatible with advocacy. A reviewer who is trying to help a reader decide cannot simultaneously be trying to persuade that reader to buy. This distinction sounds obvious. In practice, it collapses quickly when the person writing the review has a financial relationship with the brand, when the product was provided free of charge without conditions, or when the publication depends on advertising revenue from the sector it covers. None of those arrangements automatically invalidates the content produced. But each one creates a structural incentive that pushes in a specific direction - and that direction is rarely towards harder scrutiny. The Disclosure Problem Regulatory frameworks in the UK, including guidance from the Advertising Standards Authority and the Competition and Markets Authority, require that paid-for content be clea

2026-07-19 原文 →