OZZZER · AI NEWS
Selected signals with a direct route back to each original source.
481 stories
AI
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Learn how to use Julius AI to analyze Excel data, verify key findings, and turn them into an editable PowerPoint presentation.
Governance
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President Donald Trump announced on Tuesday that the White House is launching America.gov, an AI chatbot intended to help people find government services and other information. Google confirmed that it is a partner on this launch and that its AI model, Gemini, is involved, but it’s unclear if other AI companies also contributed. “Instead of forcing citizens to search through the endless maze of tens of thousands of government websites and rules… you’ll now have one front door for every single question,” Trump said in a post on X. Making…
Healthcare
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Prompt engineering in Amazon Quick determines how accurately and reliably the platform’s AI-powered features respond to your natural-language requests. Whether you’re building custom agents, authoring automation flows, or querying data through conversational analytics, the way you structure your prompts directly shapes the quality of the output you receive. In this post, you will learn the foundational principles and structured frameworks that produce consistent, high-quality results across the AI capabilities in Amazon Quick. This is Part 1 of a two-part series. Here we focus on universal principles and reusable frameworks that…
Safety & Security
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It’s OpenAI’s turn in the fall tech events calendar. The company is hosting its annual DevDay on September 29th in San Francisco, starting with a live keynote featuring CEO Sam Altman. The company is teasing “20+ launches” with Altman saying that “we have found a new thing,“, and rumors suggest it could launch a consumer AI agent to rival Meta’s Muse. The keynote begins at 1PM ET / 10AM ET, and you can watch it on OpenAI’s website or on YouTube. DevDay is happening at a tumultuous moment for OpenAI.…
Research
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In Part 1 of this series, we covered the foundational principles of prompt engineering in Amazon Quick: specificity, context-setting, few-shot examples, and the CRISPE framework for complex requests. Those principles apply universally. In this post, we go component by component, showing you how each Quick capability interprets prompts differently and what patterns get the best results from each one. You might use Amazon Quick Research for market analysis, Amazon Quick Flows for automation, Amazon Quick Sight for data visualization, chat agents for team knowledge access, or action integrations for cross-system…
Models & tools
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You’re a director of contracting, responsible for hundreds, maybe thousands, of vendor contracts. Each one is packed with critical data: contract values, expiration dates, signing status, and key contacts. With that information locked inside PDFs, you and your team spend hours manually extracting it, maintaining spreadsheets, and fielding the same recurring questions: “Which vendor are we spending the most with?” or “Which contracts are about to expire?” So you turn to AI chat tools and enterprise Q&A solutions. You upload a contract, ask questions in natural language, and for a…
AI Video
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Condé Nast’s editorial teams had no fast way to do multimodal video discovery. They were spending an average of 250 minutes per content discovery task, manually scrubbing through a library of more than 140,000 videos. They relied on titles and descriptions to find relevant clips. In a media environment where speed-to-market directly determines revenue capture, this process created measurable operational drag across brands such as Vogue, GQ, Vanity Fair, and Wired. The core problem was structural: Existing search tools can’t look inside video content. Teams depended on institutional knowledge to…
Unclassified
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NVIDIA Kumo Tabular, part of the NVIDIA Kumo Structured model collection, is an open foundation model for tabular data now available on Hugging Face. Given a table of labeled rows, it predicts the labels of new rows in a single forward pass, with no training, no tuning, and no feature engineering, for both classification and regression. It was pretrained only on artificial data, comes in three sizes (28M to 215M parameters), runs through our open-source library, and is released under the OpenMDW-1.1 license for commercial use. It ranks first on…
Models & tools
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Almost every AI tool’s demo shows a user sparring with the assistant to book travel, as it seems to be the most frequent use case. The viral Instinct agent is no different, as it sees more than 50% of transactions on the platform for travel, the company’s founder, Noah Shinn, said in a recent podcast. In an interview with investor Patrick O’Shaughnessy, Shinn also mentioned that the invite-only platform is approaching a billion dollars in annual transactions. He didn’t specify what the calculation behind this rate is, though. “People who…
Content Creation
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OpenAI says it has canceled plans to release its updated GPT-6.1 model next month as it continues to investigate what testing shows to be a regression in terms of safety compared to previous models. The move, first reported by The Wall Street Journal late Monday and later confirmed in OpenAI statements to the press, reflects what OpenAI Head of Safety Systems Saachi Jain said was a “trade off” between performance and security seen when testing the now-scrapped model. Jain said GPT-6.1 was better than previous models at sticking with difficult…
Business use
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The Claude maker warns its own models could resist shutdowns and cause catastrophic harm. Anthropic has formally warned investors that its technology may pose “existential risks to humanity” in a long-awaited initial public offering prospectus circulated with a small group of partners in recent days. The nearly $1 trillion AI start-up led by Dario Amodei devoted almost a third of its lengthy S-1 filing to detailing “risk factors,” including the potential of increasingly advanced AI models to manipulate, blackmail, and exhibit other unpredictable behaviors. Anthropic outlined more prosaic risks, including…
Safety & Security
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Here’s what led to the viral post about AI mismanaging deals on Facebook Marketplace. Here’s what led to the viral post about AI mismanaging deals on Facebook Marketplace. Tech YouTuber Matt Robb says that Muse gave out his home address to a total stranger this weekend, after authorizing the bot to handle his Facebook Marketplace account. That’s despite Meta placing great emphasis on the security features of Muse when it launched the personal AI agent earlier this month as it tries to catch up with competing AI providers like Anthropic…