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Grok 4.5 is #1# at processing real-world invoices At Ramp, we tested models on 150k bills submitted by actual businesses, scoring them on whether they predicted every correction a human would make Grok achieved the highest perfect-extraction rate, beating similarly priced models Gemini Flash 3.6, GPT 5.6 Terra, and Sonnet 5. This is a demanding long-context reasoning task. The model must infer patterns across 100K+ tokens of prior invoices, business memories, and human corrections, then apply them to new bills. The goal: zero-click accounts payable, with invoices processed correctly without human intervention.

Kimi Business Membership is now available for enterprise orders, offering teams all Kimi Allegretto plan benefits with enterprise-grade support. Highlights: > Starts from 5 seats, billed annually > Supports corporate bank transfer & self-service invoicing > Supports enterprise-grade data privacy & dedicated technical support If you need more than 20 seats, you can place multiple orders, or contact the Kimi Business team at sales@moonshot.ai 🔗Get Kimi Business: 🔗FAQ:

Grok just leveled up again Two major new connectors have been added: • Stripe → payments, customers and invoices • Calendly → availability, scheduling and meetings Grok can now help manage both the money coming into a business and the time behind it It is quickly becoming an operating layer for the entire workflow

❗️ Anthropic tried to charge a Korean user who was on the free plan with zero API usage $16.6 million. A day earlier, the same invoice was $1.67 million, so it grew roughly 10x overnight. The user says he suspected phishing at first, then found the sender and payment link were Anthropic's official domain. His bank declined the charge attempts for exceeding the card's per-transaction limit... Last month auditing startup Vaudit told it found about $1.7 million in overcharges across $34 million in AI invoices, mostly tied to Claude Code, and after months of GitHub reports about contradictory Anthropic billing emails.

Elon Musk just pulled off the biggest AI power grab of 2026. Tesla is capping every employee at $200 a week on AI spending starting Monday, July 6. Media's celebrating it as cost control. But what Elon actually built is an expense policy that redirects his own engineering workforce off Claude and onto Grok, while every competitor gets throttled by internal procurement rules. Here's what happened: Tesla spent the last six months pushing engineers to use AI as aggressively as possible. Leadership built an internal platform called Bottle Rocket that gave employees access to Claude, GPT, Gemini, Grok, and Cursor. They gamified adoption by ranking engineers on internal leaderboards by how many AI tokens they consumed. The strategy worked. Software engineers started burning THOUSANDS of dollars a week on Claude and Cursor. Then the invoices arrived and Tesla panicked. But they didn't pull the standard cost-control response... The loophole: The $200 weekly cap does not apply to beta products from xAI. Grok is completely exempt from the cap. Anthropic's Claude, OpenAI's GPT, and Google's Gemini all get throttled at the same $200 line. Four Tesla engineers told Electrek that internal usage overwhelmingly favors Claude over Grok. That preference is about to become financially punishing overnight. The genius part: This quarter SpaceX is closing a $60 billion all-stock acquisition of Anysphere, the parent company of Cursor. The moment that deal closes, Cursor's Composer coding model falls under the same Musk-controlled ecosystem, and any Tesla engineer choosing between a capped Claude session and an uncapped Composer session will pay a financial penalty for using the tool they actually prefer. By exempting only his own products from the cap, Elon is using Tesla shareholder money to build market share for xAI without ever having to disclose that is what he is doing. Because on paper, it is cost control. Now zoom out to what this signals for the wider AI narrative: Uber capped employees at $1,500 a month after burning $3.4 billion in four months. Meta introduced spending caps. Amazon and Walmart pushed staff toward cheaper models. Microsoft canceled Claude Code licenses across 100,000 engineers. Every Fortune 500 that pushed heavy AI adoption in 2025 is now rationing it in 2026. Meanwhile Nvidia is trading at a $5 trillion market cap. That entire valuation assumes enterprise AI consumption is about to explode across the economy. But every company actually deploying AI at scale is telling their own engineers to slow down. One of these narratives is lying. Goldman Sachs still forecasts a 24x increase in token consumption by 2030. Gartner says total enterprise AI costs will keep climbing because agents consume exponentially more tokens per task. Jensen Huang keeps repeating that 100 AI agents will work alongside every employee. And now the CEO of the most agentic company on the planet just told his own engineers they cannot spend more than $200 a week on the tools those agents need to run. Retail investors buying Nvidia and Palantir today are betting enterprise AI adoption compounds without limit. The CEOs deploying AI inside those same enterprises are betting the exact opposite, in writing, by internal memo. Thoughts?

RGB Lightning Node v0.0.5 released. Docs updated — RGB asset transfer through intermediate routing nodes: → Highlights: - Improved the BTC Carrier configuration by automatically applying a default value.. - Added node status, with pause and start controls - Fixed an issue where the client’s BTC address changed unexpectedly - Fixed import and export issues between the client and Bitlight Wallet - Improved the Open Channel flow - Fixed a node crash when querying or exporting an unimported RGB contract. - Improved Hold Invoice payment status with HTLC lock detection and Payment Hash support. - Fixed an issue where RGB on-chain recipients could not retrieve the transaction ID (TXID). - Improved RGB UTXO confirmation height retrieval and query performance. Repos: → → → Make Bitcoin Smart.

35个免费网站替代昂贵软件 设计类：Photopea(网页PS)、Canva、GIMP、Inkscape、Figma、Penpot 视频音频：DaVinci Resolve、Kdenlive、Audacity、OBS Studio、Handbrake、Loom、Descript 办公协作：LibreOffice、Google Docs、Notion、Trello、ClickUp、Airtable、Miro、Excalidraw 其他：VLC、Calendly、Clockify、Wave、Invoice Ninja、Mailchimp、Brevo 说白了，付费软件就是不知道替代品的税

Good morning, Asia. While you were sleeping, our most-read article was an opinion piece about how Moscow's war in Ukraine is increasingly being paid for by quietly invoicing the Russian population and suspending the state’s own rules.

Turn Claude Code into a document processing agent! Traditional OCR extracts text but loses critical information. Table structures with merged cells disappear. Relationships between charts and captions break. Multi-column reading order gets scrambled. That's why most document pipelines need manual templates per document type, and break the moment a vendor changes their invoice format. Agentic Document Extraction (ADE) takes a different approach. It's vision-first, understanding layout the way a person reading the page would. Handles complex tables, dense forms, multi-column pages, and scanned documents. LandingAI now released the ADE skills for AI coding agents. Instead of calling the API directly, your agent writes Python scripts that parse, extract, classify, and chain these steps into full pipelines. Every extracted value comes with bounding boxes, page coordinates, and confidence scores traceable back to the source document. Two skills make up the system: 1. Document-extraction - parsing into structured Markdown, extracting fields with JSON schemas or Pydantic models, splitting and classifying multi-document batches. 2. Document-workflows - batch processing in parallel, classify-then-extract pipelines, RAG preparation with chunking and embeddings, exporting to DataFrames or Snowflake, building Streamlit UIs. Once installed, you describe what you need in plain English. Ask your agent to extract line items from a folder of invoices, pull every figure from a scientific paper as PNGs, or read account statements across pages into a single CSV. Key capabilities: • Parses 20+ file formats with layout-aware structured output • Vision-first model, no templates required • Bounding boxes, page coordinates, and confidence scores per extraction • Classify-then-extract pipelines for mixed document batches • Works with Claude Code, Cursor, Roo Code, or any Agent Skills-compatible Agent I've shared the link in the replies!

Infini Bill Pay, Quick Transfer, and Batch Transfer are now live. For cross-border SMBs, independent developers, and global teams, payments have never been just about "sending money." The real friction lies in invoice entry, approval routing, permission management, on-chain transfer verification, and post-payment auditing. Infini is bringing all of these workflows into a single Financial OS.