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Intelligence Is Not the Main Bottleneck
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The Entropy of a Markov Chain
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MacPaw taps Liquid AI to offer on-device inference to devs building for its app store
MacPaw is building a local version of its AI assistant Eney using Liquid AI's models.
Robinhood to list a fund that lets anyone back Y Combinator startups
Robinhood's latest financial instrument intends to let any retail investor feel like they, too, can make money by backing Y Combinator startups.
Why the Legendary Erdős Problems Are Falling to AI
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Indian EV startup River raises $120M Series C to scale production, launch more models
River plans to build a new factory, launch additional models from 2027, and target profitability as it scales production.
Google Assistant will disappear from your phone next month
Farewell, Google Assistant art, we hardly knew ye. | Illustration by Alex Castro / The Verge Google Assistant's days have been numbered ever since Gemini arrived on the scene, and its time is now up. Google has announced that it will be removing access to Assistant on Android phones and tablets, along with paired devices like smartwatches or headphones, from September 4th. The announcement came in an email apparently sent to some users, as reported by 9to5Google and shared in full on Reddit. The Verge has asked Google for confirmation that the email is accurate, and will update this story once we have it. "We will begin removing access to Google Assistant starting on 4 September," Google states in the email, "and expect that this … Read the full story at The Verge.
Position: LLMs Can't Jump
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Saudi Aramco backs India’s Mitti Labs to make Asia’s rice farming more water-resilient
Mitti Labs plans to expand beyond India and enter the Philippines and Indonesia while growing its carbon credits and agricultural data business.
Trump’s AI testing plan is limited and vague
The Trump administration's framework for assessing potential cybersecurity risks posed by advanced AI reportedly has no interest in testing open models. Axios reports that not only do the voluntary guidelines outright exclude open models - meaning anyone can download them and inspect their core components - but the framework explicitly says it can't be used to restrict open models after they've been released. The AI testing framework was created after President Trump signed an executive order in June, requesting that AI companies share their frontier models with the federal government prior to release to address cybersecurity concerns. AI c … Read the full story at The Verge.
Ted Lasso returns at an important time for Apple TV
2026 is shaping up to be an excellent year for Apple TV. Apple's streaming service has built out an impressive slate that spans returning favorites like Silo and Sugar to all-new hits including OnlyFans-inspired dramedies, terrifying comedies, and paranoid tech thrillers. But the most important release might be a feel-good sports sitcom. After what seemed like a definitive finale, Ted Lasso is back with a fourth season that doubles as a soft reboot for the show, mixing up familiar characters with a substantially new cast. And as Apple TV continues its push for a bigger piece of the streaming market, the return of its most culturally impactfu … Read the full story at The Verge.
AI is exposing the limits of traditional network architecture
Presented by Tata Communications Continuous inference, agent-to-agent communication, and real-time data pipelines are generating unpredictable, always-on traffic that legacy architectures were never built to support. As AI moves from pilot project to operational backbone, the network is emerging as a critical control layer that determines performance, reliability, and cost. The shift is forcing organizations to question assumptions that have held for decades. Legacy systems were static and rigid, and lacked the ability to manage network demand efficiently or dynamically, while AI-ready networks need to adapt in real time. A study by Cisco notes that 80% of executives believe their company’s competitive survival will depend on agentic AI, and consumer usage of AI is already prevalent and accelerating. This is driving a fundamental shift in how traffic is generated, distributed, and experienced, with implications for service providers and enterprises that manage large-scale networks.This