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『FLOW THE FESTIVAL 2025 〜決起集会・秋葉原〜』 ▼日程：2025年5月31日(土) ▼開場：17:00〜 豪華メンツと共に最高の夜をお届け🌃✨️ 一緒に騒ぐぞぉぉぉぉ🔥🔥🔥 チケット詳細はこちら⬇️✨️ #FTF2025# #FLOWフェス# #FTF2025決起集会#

NVIDIA released Auto Ontology, an open-source library that builds a semantic layer from your enterprise metadata and exposes it to agents via MCP. Vendor tests claim **90% faster ontology building**. The problem is familiar: agents that write SQL against your data use their own definitions, not the enterprise's. A "revenue" the agent calculates doesn't match the one in the financial report. Auto Ontology builds a semantic layer from existing metadata (schemas, tables, columns, relations), reconciles definitions across systems, and exposes it to agents via MCP, CLI, or API. Nine MCP tools are provided to query the catalog, validate a query, or retrieve certified definitions. What the account takes from this: the 90% gain comes from NVIDIA's own tests, not an independent measurement. The library automates construction, not governance. Business definitions, access rights, and auditing remain your responsibility. The gesture: clone the repository, point it at a test schema, and see what entities and relations it extracts. The README shows the complete flow in ten minutes.

Elon Musk was asked how long until there is regular travel to Mars. His answer was not about rockets. He said the threshold that actually matters is whether Mars survives if the ships from Earth stop coming. That means every input: air, food, fuel, spare parts, medicine. He compared it to a long sea voyage where the only thing missing is vitamin C. One missing item and the colony dies on schedule. The ships could stop for reasons that have nothing to do with Mars. A war. A decline. An asteroid. His line: civilisation on Earth can end with a bang or a whimper. That is insurance logic, and it is the honest way to describe the Mars plan. Every policy has a premium, a probability and a payout. The payout here is the survival of the species, so the premium is nearly impossible to argue against. The probability is the part nobody can price. Which creates a strange corporate problem. The premium gets paid by companies whose shareholders will not be the ones rescued if the policy ever pays out. SpaceX is private, so its investors signed up for that. A public company could not easily spend decades of free cash flow on a backup planet and explain it on a quarterly call. The other catch is that redundancy is only worth what you spend testing it. A city is not self-sustaining because the plan says so. It is self-sustaining the day the ships stop and everyone lives. So the number worth watching is not the landing date. It is the date Mars stops needing Earth. Nobody is selling a ticket to that.

Personal Intelligence in Gemini securely connects information from apps you already use to make your experience more personalized and helpful. Today, we’re adding Google Wallet to the list of connected apps so you can get more tailored responses in the @GeminiApp around personal finance questions, based on your spending habits, including: 📈 Generate dynamic charts tracking cash flow, asset allocation, and budgets directly in your chat to help you visualize your spending. 📅 Find forgotten subscriptions and recurring charges across your linked accounts, and Gemini will also flag any price increases. 🎁 Set a budget for the holidays by asking “How much did I spend on gifts and travel last year? Use that to help me set a holiday budget” and Gemini will look at your transactions from the last year to suggest a budget tailored for you. You’ll also have the option to securely link your financial accounts from your credit cards and banks to Wallet via @Plaid to unlock deeper insights.

Google Search is getting its biggest model update yet with Gemini 4 Hydrogen — rolling out globally for all users today. Here’s what’s new in Search: 🔍 Better understands intent: Ask nuanced, multi-part questions in your natural flow of thought — even with specific requests or typos — and get relevant responses across all supported AI Mode languages. 👀 More visual responses: Get adaptive, easy-to-scan layouts with images, comparison tables, and custom tools. 🌐 Upgraded query fan-out: Hydrogen’s reasoning upgrades how Search runs simultaneous subtopic queries to connect you to a broader range of helpful web links.

trading doesn't begin and end with a buy button. what happens between discovering a token and eventually exiting matters just as much. that's why the combination of @Hypesium and @RebateLaunch caught my attention. they approach different parts of the trading journey. Hypesium brings launchpad discovery, execution, position monitoring, and exit tools into a Telegram workflow. RebateLaunch adds another layer through launch mechanics, buyer bonuses, holder payouts, and fee-linked $REBATE activity. the interesting part is how these pieces could connect into one flow: discover → fund → buy → monitor → exit. still, a smoother experience doesn't remove the need for research. contract safety, liquidity, bridge routes, slippage, fees, and exit conditions remain important. convenience alone doesn't make a trade safer. my takeaway is that the real value isn't simply fewer clicks. it's having a clearer understanding of every step, from the moment a token catches your attention to the moment you decide to leave the position. that's the kind of trading experience i find worth exploring.

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Today we’re launching the Gemini Decisions API, powered by our new Gemini Decision 1 model in @GoogleAIStudio. Instead of generating text token by token, it’s built for closed-set choices scoring up to 1,000 questions across text, images, audio, video + PDFs in a single pass. A few details: - 3 decision types: yes/no, multiple choice (up to 255 options) + rubric scoring - $0.10 / 1M input tokens with $0 billed for output tokens (~5x cheaper than Flash-Lite) - leads on several benchmark evals with lowest calibration error Google teams are already building with it, below is a look at Stitch Rapid designing a full product flow in seconds (1x speed)