'Most importantly, anyone not seriously engaging with what the technology can already do - and might soon do - is ceding their seat at the table.' 'Most importantly, anyone not seriously engaging with what the technology can already do - and might soon do - is ceding their seat at the table.' The industry is engaged in a perverse quest to replace humans. I don't need to tell you that people hate AI. The list of grievances is long: slop, cheating, bias, enfeeblement, electricity bills, environmental destruction, exploitation, theft, cybercrime, doom. But resistance to the technology has often taken the form of shaming people for personally using it, with precious little organizing against the companies building the machines.

A new mod lets you smash and shoot Flock's automatic license plate readers around the fictional Los Santos. People are not happy about Flock Safety's automated license plate readers and the cops that allegedly misuse them . If you're one of those ALPR-haters, you can now take out your rage in the video game by installing Grand Theft Automated License Plate Reader, a mod built by artist Morry Kolman. Players can smash and shoot down the cameras and get paid $600 for each one they destroy, which Kolman priced based on a teardown of a Flock Falcon Flex Camera by the Iowa-based civil liberties group Eyes Off of Cedar Rapids. The in-game cameras log every time a player destroys and drives by one, and players can render a photo album of their interactions.

Voters in the US state of Massachusetts head to the polls on Tuesday for a primary election featuring a closely watched United States Senate contest between Democratic incumbent Senator Ed Markey and US Representative Seth Moulton. The race is the latest contest that pits the Democratic Party's progressive and moderate wings against each other. But in a twist, Moulton, the challenger, is part of the moderate New Democrat Coalition, while Markey, the longtime progressive incumbent, is fighting to hold on to his seat. What time do polls open and close in Massachusetts? The Massachusetts primary is Tuesday, September 1, 2026.

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Things to Do in L.A. Tap to enable a layout that focuses on the article. As Compton students ace tests, educators are baffled by Rep. Maxine Waters' snub of school bond Students walk on campus at Dominguez High School in Compton. A bond measure would provide millions of dollars to rebuild the school. This is read by an automated voice. Please report any issues or inconsistencies here .

Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. In an era defined by rapid technological advancement, particularly in fields such as artificial intelligence (AI), there is a growing discourse surrounding the pivotal role of academia and the impact of federal funding on innovation. The following conversation sheds light on an often-underdiscussed facet of this relationship: the profound influence of academic research on the formation and continued success of large technology companies such as Google. The participants include Magda Balazińska (MB) and three senior Google engineers--Urs Hölzle (UH), Jeff Dean (JD), and Parthasarathy Ranganathan (PR)--who collectively have more than a century of experience spanning both academia and industry, and between them represent different disciplines across the computing stack (distributed systems, AI, hardware). The discussion delves into the foundational role of academia in Google's inception, the long-term impact of federally funded research, the stories behind key innovations, and the grand challenges that lie ahead for academic research.

x402 enables Hypertext Transfer Protocol (HTTP) services like application programming interfaces (APIs), data feeds, and inference providers to accept cryptocurrency payments for access. As agents increasingly consume these services, discovery becomes critical: which swap interface should an agent trust? Which data provider is the most reliable? We introduce TraceRank, a reputation-weighted ranking algorithm where payment transactions serve as endorsements. TraceRank seeds addresses with precomputed reputation metrics and propagates reputation through payment flows weighted by transaction value and temporal recency. Applied to x402's payment graph, this surfaces services preferred by high-reputation users rather than those with high transaction volume. Our system combines TraceRank with semantic search to respond to natural language queries with high quality results. We argue that reputation propagation resists Sybil attacks by making spam services with many low-reputation payers rank below legitimate services with few high-reputation payers. Ultimately, we aim to construct a search method for x402 enabled services that avoids infrastructure bias and has better performance than purely volume based or semantic methods.

This paper presents an adversary model and a simulation framework specifically tailored for analyzing attacks on distributed systems composed of multiple distributed protocols, with a focus on assessing the security of blockchain networks. Our model classifies and constrains adversarial actions based on the assumptions of the target protocols, defined by failure models, communication models, and the fault tolerance thresholds of Byzantine Fault Tolerant (BFT) protocols. The goal is to study not only the intended effects of adversarial strategies but also their unintended side effects on critical system properties. We apply this framework to analyze fairness properties in a Hyperledger Fabric (HF) blockchain network. Our focus is on novel fairness attacks that involve coordinated adversarial actions across various HF services. Simulations show that even a constrained adversary can violate fairness with respect to specific clients (client fairness) and impact related guarantees (order fairness), which relate the reception order of transactions to their final order in the blockchain. This paper significantly extends our previous work by introducing and evaluating a mitigation mechanism specifically designed to counter transaction reordering attacks. We implement and integrate this defense into our simulation environment, demonstrating its effectiveness under diverse conditions.

Dr Mehmet Oz reportedly told federal staffers that artificial intelligence models may be better than frontline human physicians in his first all-staff meeting this week. Oz told staffers that if a patient went to the doctor for a diabetes diagnosis it would cost roughly 100 an hour, compared with 2 an hour for an AI visit, according to unnamed sources who spoke to Wired magazine. He added that patients may prefer an AI avatar. Oz also spent a portion of his first meeting with employees arguing they had a "patriotic duty" to remain healthy, with the goal of decreasing costs to the health insurance system. He made a similar argument at his confirmation hearing.

Blockchain is increasingly offered as blockchain-as-a-service (BaaS) by cloud service providers. However, configuring BaaS appropriately for optimal performance and reliability resorts to try-and-error. A key challenge is that BaaS is often perceived as a ``black-box,'' leading to uncertainties in performance and resource provisioning. Previous studies attempted to address this challenge; however, the impacts of both vertical and horizontal scaling remain elusive. To this end, we present machine learning-based models to predict network reliability and throughput based on scaling configurations. In our evaluation, the models exhibit prediction errors of ~1.9%, which is highly accurate and can be applied in the real-world.