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Talk of banning Chinese-made open-weight LLMs reveals the challenge of turning AI into a business.
The end of the Ford F-150 Lightning was also the start of a new era for the automaker. After failing to capture the market with the electric version of its popular F-Series truck, Ford is going back to the drawing board with its Universal Electric Vehicle Platform. The first offering will be a $30,000 electric truck, engineered for efficiency and also — perhaps most importantly — profitability. The truck will be revealed in 2027, but Ford plans on building a whole family of low-cost electric vehicles at its Kentucky assembly plant. The heavily camouflaged truck has already been spotted out in the wild, with observers noting that it seems even smaller than the Maverick. Success isn t guaranteed. Ford has struggled to make profitable EVs, forcing the company to take a staggering $19.5 billion hit on its EV investments in 2025. But Ford still sees EVs as the future — just not oversize ones with “no path to profitability,” as executives say. Emojis as camouflage. Ford’s $30K electric truck
A single AI agent conversation can look flawless scored on its own and still point to a broken product. That gap is driving a shift in how enterprises evaluate agents, away from scoring individual traces and toward comparing cohorts of users against a baseline.At VB Transform 2026, Harrison Chase, CEO of LangChain; Hui Zhang, CTO and co-founder of Conviva; and Emmanuel Turlay, director of engineering at CoreWeave, described that shift, along with a parallel move toward cheaper, narrower judge models.Agent-as-judge — judging one AI agent s output with another — hasn t replaced LLM-as-judge, which Chase said remains the default. The larger tension, Zhang said, is between automated judging, whether by LLM or agent, and human review. You have scalable but ungrounded, whether it s agents as judge or LLMs as judge, you grade the outcome, you grade the work. It still is very difficult to ground it and then you use humans and that s just not scalable, Zhang said. The whole industry is facing t
The lawsuit from the states alleges that the deal would harm movie theaters, basic cable distributors, and audiences.
A judge partially granted the request from a dozen state attorneys general to temporarily place the $110 billion merger of Paramount and Warner Bros. Discovery on hold, as reported by Variety and Reuters. US District Judge Araceli Mart nez-Olgu n said that based on the new company's market share, "the Court is persuaded that it can presume the proposed merger is likely to violate antitrust laws," and that the states showed "irreparable harm" could occur without a temporary restraining order. A week ago, California, Arizona, Colorado, Connecticut, Massachusetts, Minnesota, Nevada, New Jersey, New Mexico, New York, Oregon, and Washington sued … Read the full story at The Verge.
Zillow, the real estate technology company, doesn t get one conversation with its customers. They move from a phone screen to a loan officer to a real estate agent, sometimes over months or years, and expect the context to follow them. A single chatbot could never carry that thread.At VB Transform 2026, Zillow SVP of Engineering Toby Roberts and Glean co-founder and CEO Arvind Jain described how they built AI architecture meant to carry context across that entire journey — and why context, not raw data, turned out to be the harder problem to solve. Zillow s products touch roughly 80% of U.S. real estate transactions each year, and the company has been using AI long before ChatGPT existed. We pretty quickly identified that we were going to need a persistent context layer that was going to meet our customers and the professionals wherever they were, Roberts said.Data was never the hard partRoberts said Zillow s AI effort started where most enterprise AI efforts start, with the data itsel
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LG’s UltraGear Glossy OLED gaming monitor deliver deep, true-to-life blacks. | Image: LG If you ve been thinking about upgrading your gaming monitor, LG s 27-inch 27GX704A-B pairs a glossy WOLED panel with a fast refresh rate, and it’s currently on sale for $379.99 (about $70 off) at Amazon and directly from LG, marking a new low price. It originally launched at $799.99, but has been available for under $500 since May. LG UltraGear Glossy OLED gaming monitor (27-inches) Where to Buy: $449 $379.99 at Amazon $449 $379.99 at LG The monitor offers a 1440p resolution and a glossy coating, which isn’t a combination of specs we often see at this price. Most OLED monitors under $400 use QD-OLED panels, which can give blacks a slight bluish tint. LG’s WOLED monitor delivers truer-looking blacks while the glossy coating helps colors appear richer and more vibrant. It doesn t sacrifice speed, either. The monitor boasts a fast 240Hz refresh rate with variable refresh rate support (Nvidia G-Sync co
Hugging Face’s incident response team first turned to frontier AI models to analyze a breach of the company’s production infrastructure, and the models refused to help. Commercial safety guardrails built to stop attackers blocked every forensic query because they treated the IR team’s real exploit data the same way they would treat a live attack.The attacker, an autonomous AI agent running the campaign end to end, moved laterally across the Hugging Face infrastructure for a weekend, undetected and unstopped.Security leaders are quick to recognize the pattern and diagnose what went wrong. “I’ve seen versions of this during red-team exercises and internal security testing, but this is one of the first high-profile examples where it materially affected real incident response,” said Merritt Baer, senior adviser to Andesite, G2I, and AppOmni and former Deputy CISO at AWS.None of this is unique to Hugging Face, Baer said. “Commercial frontier models optimize for preventing misuse. They gener
Adobe's Project Indigo can now remove all kinds of backgrounds from photos you snap using the app
Two critical security flaws in WordPress’ software have given hackers the chance to remotely take over tens of millions of websites, according to an estimate by a cybersecurity researcher.
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