The term “hyperbole” doesn’t apply when describing AI’s impact on our daily lives, especially at work. Large language models are not only reshaping methods of recruiting and hiring, forcing job-seekers to change how they build resumes and search for positions, but also how workers approach retirement savings and planning. Here are three examples of AI’s effect: SUBSCRIBE:  Receive more of our free The Daily Upside newsletter. READ ALSO: Meta, Microsoft Confront AI Spending Concerns Head-On and Tether Outb ...

Emerge's "Person" of the Year 2025: Ani’s rise showed how chatbots became partners instead of tools, driving a year of AI intimacy and its human consequences. https://t.co/da2PbfZZjs ...

Core Insights - Yellow.ai has laid off over 100 employees, accounting for approximately 30% of its workforce, primarily affecting engineering and product teams [1][2] - The layoffs are part of a strategic shift towards agentic AI technologies, which require fewer personnel for development and support [3][4] - The company has deferred salary increments and appraisals for the past two years, indicating ongoing cost-cutting measures [2] Financial Performance - Yellow.ai's revenue in India declined marginally to INR 233.6 Cr in FY25 from INR 237.9 Cr in the previous fiscal year, while employee benefit expenses decreased by 23% YoY [4] - Despite the decline in local revenue, the company reported strong consolidated global growth of about 40% in FY25, with the North American market expanding nearly 90% [5] Compliance and Regulatory Issues - The auditor's report flagged non-compliance with FEMA regulations related to foreign currency advances, but Yellow.ai stated that it is a procedural matter and is working to regularize the situation [5][6][7] Business Model and Market Position - Founded in 2015, Yellow.ai transitioned from a consumer-facing model to a platform-led approach for enterprises, allowing them to manage chatbots and customer interactions [8][9] - The company serves over 1,100 enterprises across 85 countries, automating more than 16 billion conversations annually [10][11] - Yellow.ai competes with other players in the conversational AI space, such as Gupshup and Haptik [12]

As the experience of whizzy chatbots, weight-loss jabs and wacky dolls illustrates, overnight success can also bring problems for businesses https://t.co/cdibnRHKYb ...

Core Viewpoint - The Trump administration is advocating for a unified federal standard for artificial intelligence (AI) regulation to alleviate compliance burdens on companies, particularly small businesses and startups, which face varying state regulations [1][2][3]. Group 1: Regulatory Framework - The directive signed by Trump aims to develop a common standard for AI oversight in collaboration with Congress, addressing the current fragmented state-level regulations [2][3]. - David Sacks emphasized the need for a single national framework for AI regulation to prevent a chaotic compliance environment across different states [3]. Group 2: Industry Response - The order is a response to lobbying efforts from major AI companies like OpenAI and Alphabet Inc.'s Google, as well as venture capital firms, who argue that state regulations could hinder the growth of the AI industry and US competitiveness against China [3][4]. - Tech companies have generally opposed state-level regulations that would hold them accountable for AI-related harms, particularly in states like California and New York [7]. Group 3: Legal and Political Implications - The executive order is expected to face legal challenges, especially from states with existing regulations, as seen with California's legislation aimed at setting safety rules [5][6]. - The order allows the Justice Department to challenge state regulations deemed burdensome, with Sacks identifying Colorado's law against algorithmic discrimination as particularly excessive [5]. Group 4: Economic Impact - Sacks argued that the current AI boom has created more jobs than it has displaced, countering concerns about job losses due to AI advancements [8].

Core Points - President Trump signed an executive order to prevent state-level regulations on artificial intelligence, aiming to support the tech industry and avoid a fragmented regulatory environment [1][5][11] - The order establishes an "AI Litigation Task Force" to challenge state laws that conflict with federal policy [2][11] - The Secretary of Commerce is tasked with evaluating existing state AI laws and identifying those that are burdensome [3][11] Industry Impact - The directive is seen as a victory for tech companies like OpenAI and Google, which have lobbied for a unified regulatory approach [5][12] - The order is intended to enhance U.S. competitiveness in AI against China, as emphasized by Treasury Secretary Scott Bessent [8] - The lack of federal standards has led to state-level actions, which the order seeks to preempt, complicating local legislative efforts [10][11] Political Context - The executive order follows failed attempts to include similar provisions in a defense bill, highlighting ongoing struggles in Congress to establish AI legislation [8][10] - The order has drawn criticism from various stakeholders, including state governors and advocacy groups, who argue it undermines accountability and oversight [9][13] - Trump's approach may create tensions within the Republican Party, as some governors support state-level regulations [13]

We've been talking a lot about the AI trade in recent weeks, some uh throwbacks to the dot area era when we're talking about circular funding and vendor financing. Right now, we're seeing this race in chat bots. Is there is there a plain language way to look at it. Is there some comparison that kind of applies to everyday life that we can look at it.Is it kind of similar to I've heard somebody talk about VHS and beta and the battle isn't over the tech. It's on who can just kind of take the mainstream aspect ...

For a time, rules of thumb helped tell AI output from the authentic. But as chatbots have improved, these are becoming less useful. New costly signals are required https://t.co/8FMXKGyplL ...

Schools are using AI to keep students safe from… AI. As chatbots enter classrooms, companies are selling software to monitor student conversations and flag signs of distress. https://t.co/enpIVEXEXR ...

教育创新 - 学校将使用聊天机器人纳入作业，而非将其视为作弊捷径 [1] - 教授认为这能迫使学生进行思考 [1]