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One researcher s decision raised questions I could not ignore.Continue reading on Medium »
On September 1, the US Department of Justice filed a brief supporting OpenAI s position in defense of the lawsuit brought against it by Continue reading on Enrique Dans »
It’s going to take a lot more gold coins to buy the Trump Phone now. | Photo: Amelia Holowaty Krales / The Verge Bad news if you didn't lock in a Trump phone at launch: It now costs $749, a $250 increase on its price at launch. The T1 Phone itself hasn't changed. Trump Mobile didn't announce the price increase, instead quietly changing its website overnight. This wasn't a total surprise though, especially given the phone ships with an unexpectedly generous 512GB of storage and 12GB of RAM. When I spoke to two Trump Mobile executives earlier this year, they called the $499 launch pricing "introductory," and a few months later, the website itself was changed to reflect that, calling it a "promotional price." That wording is now gone. When I reviewed th … Read the full story at The Verge.
An AI agent is software you hand a goal, not a task. It reads the situation, decides the next step on its own, takes the action, and Continue reading on Medium »
Something about the OpenAI Navier Stokes announcement doesn t sit right with me.Continue reading on Medium »
It's been about three years since Volvo discontinued its plug-in hybrid XC40. The mild hybrid version remains on sale in the US and elsewhere, alongside the electric EX40. Today, Volvo announced it was bringing back the PHEV version and giving it a major facelift. When it arrives at dealerships early next year, the new XC40 will have updated exterior styling, a gut-renovated interior featuring Google's Gemini AI assistant, enlarged infotainment screen, and a new sensor-and-software safety suite. As a hybrid, the XC40 serves as a bridge for customers who want better gas mileage but aren't ready for the pure EV lifestyle. Volvo itself needs t … Read the full story at The Verge.
A Hindi lesson can mix English terms (loan words), scanned tables and handwritten equations. Making that content searchable, translating it and reading it aloud requires several kinds of AI. Bodhan AI and AI4Bharat’s four new models target those jobs across Indian languages. Released in September 2026, the models cover document parsing, translation, speech recognition and speech generation, with support for mixed languages and scripts. In this [ ] The post Bodhan AI Releases Four Indic Models for OCR, Translation and Speech appeared first on Analytics Vidhya.
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The future of applied AI is not another retrieve-then-generate pipeline. It is deliberate context construction around a model that can Continue reading on Medium »
A viral resignation, a company insider s public agreement, and a real security incident behind the warning shot claimContinue reading on AI Tomorrow »
arXiv:2609.05508v1 Announce Type: new Abstract: Option-critic learns options: sub-policies together with a learned rule for when each one hands control back. Its headline result is that performance improves as options are added. We explain that result, with theory and experiment. First, the termination rule option-critic learns by maximising return contributes nothing. When the termination test and the policy that picks options read the same values, the test fires at every step, so the learned rule is identical to always terminating. When that policy explores and the test does not, as in option-critic itself, the rule can block the exploration; there are instances where it suffers $\Omega(T)$ regret while always terminating holds to $O(\log T)$. Forcing termination at every step leaves the option-count curve intact. Second, the policy inside an option barely explores at all, so a state locks onto the first action that looked good and never updates again. We name this policy necrosis, g
arXiv:2609.05437v1 Announce Type: new Abstract: Previous AI alignment efforts have focused primarily on first-order social norms -- teaching models what is socially acceptable or unacceptable (e.g., `do not steal'). However, social intelligence depends not only on norm recognition, but also on anticipating who will enforce it and how (e.g., public shame or even imprisonment). These second-order expectations, known as metanorms, govern how people respond when social rules are broken. We introduce a novel framework for evaluating metanorm reasoning in Large Language Models (LLMs) along two dimensions: emotional appraisal and behavioral response, and propose new classification tasks, namely, predicting self-regulation in violators, and other-regulation in observers. We release a multi-perspective dataset, NormReact, of 450 norm violation scenarios, hand-annotated for emotions and behavioral responses across norm violators' gender and observers' social closeness. Current LLMs portray a har