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Llm

Large language models for accounting automation and insights

MiniMax H1 2026 Earnings: $116.6M Revenue, a $293.0M Adjusted Loss, and a New Balance Sheet

MiniMax reported $116.6M of H1 2026 revenue, up 283.1% and more than its entire FY2025 result, as Open Platform revenue grew 703.1% to become 63.4% of the mix. IFRS net loss narrowed 11% to $358.0M only because fair-value charges on pre-IPO preferred shares fell $222.9M; adjusted net loss more than doubled to $293.0M as R&D reached $296.9M — twice the incremental revenue — while the January listing converted a $3.6B preferred-share liability into $1.35B of positive equity. The full income statement and balance sheet are reconciled in a public Beancount ledger.

How to Get Your Small Business Cited by Google AI Overviews, ChatGPT, and Perplexity

AI answers now decide who gets found: 68% of Google searches end without a click, and the top organic result loses 34.5%–58% of its clicks when an AI Overview appears. For local queries, 42% of AI citations come from Google Business Profile, 28% from directories, and 17% from the business's own site — so answer-first pages, consistent NAP data, and FAQPage schema matter more than keyword density. Here is a 7-step playbook and a 30-day sprint to earn citations.

Xero's Claude Integration: What Small Business Owners Should Know Before Connecting Their Books

On May 12, 2026, Xero went live with an Anthropic Claude integration that lets 4.5 million subscribers query live invoices, bank transactions, and reports conversationally. Here is how the bidirectional connection works, what the JAX Assure guardrails and session-only data policy actually promise, a due-diligence checklist before granting OAuth access, and why a plain-text Beancount ledger gives any AI the same access with no integration at all.

Connecticut's CTDPA Now Covers Small Businesses: Neural Data, LLM Training Disclosures, and the July 2026 Rules

Connecticut's amended CTDPA took effect July 1, 2026, lowering the coverage threshold to 35,000 consumers, classifying neural data as sensitive, and requiring conspicuous disclosure of AI and LLM training on personal data. Processing any sensitive data — even one record — now triggers coverage, the 60-day cure period is gone, and penalties reach $5,000 per willful violation.

Generative Engine Optimization (GEO): How Small Businesses Get Cited by ChatGPT, Perplexity, and Google AI Overviews

Generative Engine Optimization (GEO) is how small businesses get named in AI answers from ChatGPT, Perplexity, and Google AI Overviews — a channel where over half of citations come from pages outside Google's top 10. This guide covers the seven retrieval signals AI engines use, a five-step checklist (Google Business Profile, schema markup, direct-answer content, third-party validation, NAP consistency), and the mistakes that quietly suppress citations.

MiniMax FY2025 Earnings: $79M in Revenue, and a $1.9 Billion Loss That Isn't What It Looks Like

MiniMax's first annual report as a listed company shows FY2025 revenue of $79.0M (+158.9% YoY) and gross margin up to 25.4%, alongside an IFRS net loss of $1.87B — but $1.59B of that loss is a non-cash fair-value remeasurement of convertible redeemable preferred shares that converted to equity at the January 9, 2026 Hong Kong listing. Adjusted net loss grew only 2.7%, from $244.2M to $250.9M. A public Beancount ledger of FY2022–FY2025 shows exactly where the paper loss sits and why it disappears in FY2026.

California SB 53 Compliance: A Practical Guide to the Transparency in Frontier AI Act

California's SB 53 (Transparency in Frontier AI Act) took operative effect on January 1, 2026, requiring foundation model developers training above 10^26 FLOPs to publish safety frameworks, report critical incidents to Cal OES within 15 days (24 hours for imminent threats), maintain anonymous whistleblower channels, and face civil penalties up to $1 million per violation enforced by the California Attorney General.