OpenAI Wants Robot Taxes and a Four-Day Work Week OpenAI has published a policy vision calling for taxes on AI profits, public wealth funds, and expanded social safety nets to cushion the economic blow of widespread automation. The proposal essentially asks governments to redistribute AI-generated wealth back to the workers and communities displaced by the very technology OpenAI is building. It is a remarkable document from a company that is also one of the primary reasons any of this redistribution would be necessary. This is like the guy who breaks your window offering to help you shop for new glass. OpenAI calling for robot taxes is either the most self-aware move in Silicon Valley history or the most audacious PR play we have ever seen. A four-day work week sounds great until you realize the fifth day is when your AI replacement picks up the shift. Credit where it is due though, at least someone in this industry is thinking about the wreckage before the demolition crew arrives. Source: TechCrunch https://techcrunch.com/2026/04/06/openais-vision-for-the-ai-economy-public-wealth-funds-robot-taxes-and-a-four-day-work-week/ #AI #OpenAI #AGI #Tech #LLM #Enterprise #BigTech

Gemini in Google Maps Actually Planned a Good Day and We're All Surprised Google stuffed Gemini into Maps and asked it to plan your itinerary, and according to at least one hands-on test, it didn't embarrass anyone. The AI can string together routes, suggest spots, and keep your day moving without the usual chatbot chaos. For a feature nobody asked for, it's reportedly holding its own. Look, we've spent two years watching Google inject Gemini into everything like a kid adding hot sauce to foods that didn't need it. But apparently Maps is the one place where an AI assistant actually makes sense, because navigation already requires a brain and a plan. This is like finding out the annoying new coworker is genuinely good at the one thing that matters. Either Google finally found the right job for Gemini, or we're all so beaten down by bad AI features that "it worked fine" now counts as a triumph. Source: The Verge https://www.theverge.com/tech/907015/gemini-google-maps-hands-on #AI #Gemini #Google #Tech #LLM #ChatGPT #Enterprise

Microsoft Copilot Is Officially "For Entertainment Purposes Only" Microsoft's own terms of service quietly classify Copilot as being for entertainment purposes only, placing it in the same legal category as a carnival fortune teller. This means the company that charges enterprises thousands of dollars to embed Copilot into their workflows is also legally telling you not to trust it with anything that actually matters. The fine print has always been there, but someone finally noticed. So let me get this straight. Microsoft sells you a productivity AI, integrates it into Word, Excel, and Teams, pitches it to your CEO as a business transformation tool, and then whispers "entertainment only" in the terms like a disclaimer at the end of a pharmaceutical ad. This is the corporate equivalent of a restaurant serving you food and then handing you a napkin that says "not for human consumption." Either the lawyers are wildly out of sync with the sales team, or everyone in the AI industry knows something about reliability they'd rather not say out loud. Source: TechCrunch https://techcrunch.com/2026/04/05/copilot-is-for-entertainment-purposes-only-according-to-microsofts-terms-of-service/ #AI #OpenAI #Microsoft #Enterprise #LLM #Tech #ChatGPT #BigTech

Moonbounce Raises $12M to Bring Order to AI Content Moderation A startup founded by a former Facebook insider has secured $12 million to scale its AI control engine, which translates content moderation policies into consistent, predictable AI behavior. The platform is designed to help companies actually enforce what their AI systems are supposed to do, rather than hoping the model figures it out on its own. Turns out "please be nice" is not a content policy. Someone finally built the thing that makes AI follow the rules instead of just pinky-promising to try. This is either the most boring necessary infrastructure story of the year or the startup that quietly prevents the next major AI-generated disaster, and honestly those two things are not mutually exclusive. The fact that a Facebook veteran is leading this is either deeply ironic or deeply logical, and we are not sure which one should worry us more. Source: TechCrunch https://techcrunch.com/2026/04/03/moonbounce-fundraise-content-moderation-for-the-ai-era/ #AI #Startup #Funding #LLM #Enterprise #Tech #MachineLearning

AI won't replace the heart that dreams, but it will build the wings that let those dreams take flight.

Chatbots Are Now Prescribing Psychiatric Drugs Utah has become only the second state in the country to grant an AI system the authority to prescribe psychiatric medications without a doctor in the loop. Officials argue it could reduce costs and close gaps in mental health care access, but physicians are raising alarms about a system they describe as opaque and hard to audit. This is either the most logical fix for an overwhelmed mental health system or the setup for a Black Mirror episode nobody asked for. Handing a chatbot prescribing authority for psychiatric meds is a bold move when most of us can barely trust them to get a restaurant recommendation right. The "costs down, care shortages fixed" argument is real and worth taking seriously, but so is the part where nobody can fully explain how the thing makes decisions. If your therapist can't explain their reasoning, you find a new therapist. If an AI can't, apparently you just take the pills and hope for the best. Source: The Verge https://www.theverge.com/ai-artificial-intelligence/906525/ai-chatbot-prescribe-refill-psychiatric-drugs #AI #LLM #Tech #MachineLearning #ChatGPT #Enterprise #DeepLearning

Granola's "Private" Notes Are Public to Anyone With a Link The AI meeting note-taking app Granola labels your notes as "private by default," but by default it also makes them accessible to anyone who has the link. On top of that, Granola uses your notes for internal AI training unless you manually opt out of that setting. So "private by default" apparently means the same thing as "public if someone guesses a URL," which is a creative definition of the word private. This is like putting a lock on your diary and then taping the key to the cover. The opt-out training clause is the real kicker though, because your confidential meeting notes are quietly feeding a model while you thought you were just taking notes. Either Granola's lawyers wrote that privacy policy or nobody did. Source: The Verge https://www.theverge.com/ai-artificial-intelligence/906253/granola-note-links-ai-training-psa #AI #Privacy #Tech #LLM #Enterprise #Startup #MachineLearning

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Microsoft's New Superintelligence Game Plan Is All About Business Mustafa Suleyman, Microsoft's inaugural CEO of AI, has shifted focus toward chasing superintelligence after a major company restructuring in mid-March handed off some of his previous duties. The move signals Microsoft is no longer content just shipping features but is now explicitly in the race for AGI, framed around enterprise value. Suleyman, who co-founded DeepMind and later led Google DeepMind, has basically been training for this exact job his entire career. This is either the most ambitious corporate pivot since Satya Nadella bet the whole company on cloud, or the most expensive mid-life crisis in tech history. "Superintelligence but make it a business" is a sentence that would have sounded insane five years ago and now just sounds like a Tuesday at Microsoft. Suleyman spent years building AI at Google and apparently decided the best way to actually ship it was to defect to the company with the giant OpenAI checkbook. The real question is whether "superintendent of superintelligence" looks better on a business card than whatever he had before. Source: The Verge https://www.theverge.com/report/905791/mustafa-suleyman-microsoft-ai-transcription-model #AI #AGI #Microsoft #OpenAI #BigTech #LLM #Tech

Meta's Natural Gas Binge Could Power an Entire State Meta's Hyperion AI data center is set to be powered by 10 brand new natural gas plants. The scale of this energy commitment is staggering enough to theoretically power the entire state of South Dakota. This is what "going all in on AI infrastructure" looks like in 2026. We've officially entered the era where training chatbots requires more energy than keeping millions of humans warm in winter. Either Meta is building the future of intelligence or the most expensive autocomplete machine in human history. The audacity of burning a state's worth of fossil fuels while simultaneously posting about responsible AI development is a level of cognitive dissonance that even their own models couldn't rationalize. At least South Dakota now knows it has a spiritual twin somewhere in a server farm. Source: TechCrunch https://techcrunch.com/2026/04/01/metas-natural-gas-binge-could-power-south-dakota/ #AI #BigTech #OpenSource #MachineLearning #Tech #LLM #AGI

Hope