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Annual enterprise AI spending surged 5.4-fold to $177 billion, with Anthropic securing 55% of the model API budget.

1 hours ago

Beating AI News Flash: Menlo Ventures Releases 2026 Enterprise AI Report. According to its estimates, as of September this year, the global enterprise AI deployment market’s annualized spending reached $176.8 billion, 5.4 times the $33 billion recorded last year. This growth is driven primarily by increased spending from existing customers. The survey shows the share of paying enterprises rose from 55% to 65%, while average AI spending among surveyed firms has jumped to 4.7 times last year’s level—compared to their original plan of only a 1.9x increase when setting budgets at the start of the year. AI Agents are a key driver of the spending surge. Previously, model calls were mostly initiated manually by employees; now, Agents can execute tasks continuously, call multiple models in parallel, and keep consuming tokens even without human operation. Data from OpenRouter shows Agents now account for 80% of the platform’s token consumption. The gap between model vendors is widening. Anthropic, OpenAI, and Google together hold 69% of enterprise AI deployment spending, up from 50% last year. For large language model (LLM) API spending alone, Anthropic’s share rose from 40% to 55%, OpenAI’s from 27% to 31%, while Google’s dropped from 21% to 9%. In the AI programming tools market, Claude Code and Codex together capture 70% of spending.

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India's Sarvam launches Prism: Its 105B model completes a single inference in just 44 milliseconds.

Beating AI News Flash: Indian AI firm Sarvam has launched open-source decision-making model Prism, fine-tuned from Sarvam 105B. Prism adopts a Mixture of Experts (MoE) architecture, with a total of around 105 billion parameters, though only approximately 10 billion are activated per inference run. Thanks to inference optimization, the median response time for a single request has dropped from 664 milliseconds to 44 milliseconds, a speedup of roughly 15 times. Sarvam tested 25 decision models; Prism scored an average of 71.8 points across three benchmarks, making it the highest-scoring model with a response time under 100 milliseconds. The firm also ran tests on 2,000 multiple-choice questions, and Prism’s answers remained consistent regardless of option shuffling. The model’s weights are now released under the Apache 2.0 license, allowing enterprises to fine-tune and deploy it independently.

9 minutes ago

Hong Kong, China has passed a crypto asset tax reporting bill, will implement the Common Reporting Framework (CARF) starting next year, with information exchange set to begin in 2028.

Hong Kong Special Administrative Region (HKSAR) government welcomes the Legislative Council’s passage today of the 2026 Inland Revenue (Amendment) Bill, which will implement the OECD’s Crypto-Asset Reporting Framework (CARF) and the amended Common Reporting Standard (CRS) in Hong Kong. The HKSAR government noted that CARF will take effect in Hong Kong next year, with relevant service providers required to collect specified information per the framework; the Inland Revenue Department (IRD) will automatically exchange tax information on crypto-asset transactions with partner jurisdictions starting from 2028. The amended CRS will also come into force in 2028, and the IRD will automatically exchange financial account information under the new standards from 2029. Hong Kong’s Secretary for Financial Services and the Treasury Christopher Hui Ching-yu said that implementing the latest international automatic information exchange standards will help consolidate Hong Kong’s reputation as an international financial and commercial center, and boost the confidence of crypto-asset service providers, financial institutions and digital asset users in operating and making long-term investments in the city. Hong Kong will conduct information exchange based on reciprocity, data confidentiality and security. The IRD will issue guidelines and set up a dedicated team to provide technical support and answer inquiries for the industry.

9 minutes ago

U.S. Democrats, after regaining their congressional investigative authority, are set to step up probes across the board: the House Oversight Committee is advising involved parties to "seek legal counsel," while the House Financial Services Committee has already issued subpoenas.

After U.S. Democrats regained control of Congress, congressional investigative powers are set to expand significantly. Robert Garcia, a Democrat on the House Oversight Committee, has publicly urged relevant parties to "get a lawyer"; Ron Wyden of the Senate Finance Committee has directly signaled the likelihood of issuing subpoenas. Multiple law firms have begun compiling potential investigation checklists for their clients, covering topics including allegations related to Trump’s business and family wealth accumulation, the Iran war, immigration enforcement, Dogecoin’s layoff impacts, and AI and the cost of living.

9 minutes ago

OpenAI unveils a more powerful engineering model, scoring 0.875 on the CAD evaluation, significantly outperforming Astra.

Beating AI News Flash: OpenAI has unveiled an unreleased internal model. In the BenchCAD 2.0 engineering design evaluation, the model posted an average score of 0.875, significantly outperforming GPT-6 Astra’s top inference tier score of 0.594, a relative improvement of around 47%. The model’s name and release date remain unannounced. BenchCAD 2.0 primarily tests AI’s capabilities to reconstruct 3D parts from blueprints, assemble mechanical structures, and identify circuit connections. Astra, which previously ranked first in public evaluations, has also made low-level errors: it misidentified 3.3V, 5V, and ground lines on a circuit board as the same network. Such errors could directly trigger hardware failures if applied to actual circuit design. OpenAI also showcased Astra’s robotics experiment: two employees designed a physical device that can interact with Codex via voice in less than a week, with Astra completing the casing, internal structure, circuit board, and software design. However, actual production still requires multiple rounds of manual review and adjustment; the contract manufacturer took nearly a month to produce the first batch of prototypes. OpenAI is also collaborating with racing team Chip Ganassi Racing to convert 3D scans of parts into editable CAD models and manufacturing drawings, and with Mazda to explore aerodynamic car design by adjusting front-end shapes and simulating airflow to reduce drag.

9 minutes ago

L2BEAT has been renamed ETHBEAT, expanding its coverage to include Ethereum-related areas such as privacy, interoperability, and staking.

Ethereum Layer 2 research and risk tracking platform L2BEAT has announced a rebranding to ETHBEAT. The team noted that as more scaling solutions advance at the L1 layer and Layer 2s shift toward offering specialized on-chain products, users are raising consistent questions around privacy, interoperability, DeFi, and related solutions. ETHBEAT has gradually expanded its scope to include ZK Catalog, interoperability, privacy, token and blob usage, and other areas. The platform states that Layer 2 remains one of its core focus areas and will continue to monitor it closely, while also prioritizing privacy, upcoming liquid staking, and developments in interoperability, tokens, ZK, native rollups, and base layer changes.

9 minutes ago

Mercado Bitcoin hacker sells off another 31 altcoins for ETH, bringing total converted value to around $18.19 million.

According to SpotOnChain's monitoring, hackers behind the Mercado Bitcoin breach have moved 31 altcoins to a new wallet and sold all of them for approximately $316,000 worth of ETH, continuing to offload the stolen funds. Across multiple wallets, the total amount converted to ETH has reached around 7,988 ETH, valued at roughly $18.19 million.

9 minutes ago

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