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AI Briefings / Date Archive

2026-07-03
AI Briefings Daily Report.

An archive of 20 AI news briefs collected on 2026-07-03. Check the original sources for details and updates.

This content still needs to be cross-checked against the original publication page.

20 curated selectionsView other dates ↗
02News

Bridgewater Associates joint research: frontier AI model financial judgment accuracy only 50-70%, fine-tuned open-source model reaches 84.7%

Bridgewater Associates joint research team testing found that frontier large models such as GPT and Claude have only about 50% accuracy on basic financial information screening tasks, and only 70% after optimization, not reaching the 80% credible threshold. Meanwhile, a self-developed model fine-tuned from open-source models achieved 84.7% accuracy, at only one-fourteenth the cost of frontier models.

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03News

DeepSeek-V4 factory-direct model lands on Tencent Cloud in mid-July, simultaneously introducing peak-valley pricing

Tencent Cloud announced it will launch the DeepSeek-V4 original-supplier direct official version in mid-July, and simultaneously introduce the official website's peak-valley pricing mechanism. During peak hours (daily 9-12, 14-18), prices double, covering the Pro and Flash two versions. Enterprise edition point deduction rules are also adjusted accordingly.

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04News

Two departments issue document encouraging diversified operation of cinemas, supporting screening of virtual reality films and introduction of AI agents

The National Film Bureau and the State Administration for Market Regulation jointly issued a document encouraging cinemas to carry out business model innovation and equipment upgrades, explicitly supporting the screening of virtual reality films. Future cinemas will not only be viewing venues, but may also integrate catering, cultural creativity, gaming and other business forms, creating new cultural consumption landmarks.

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05News

World's first AI Agent ransomware attack exposed, from vulnerability exploitation to database encryption completed autonomously throughout

Security vendor Sysdig recorded for the first time a ransomware attack autonomously executed by an AI Agent, using a combination of known vulnerabilities, from intrusion and lateral movement to database encryption entirely without human intervention. The attack demonstrated AI's autonomous decision-making and remediation capabilities, executing over 600 attack payloads. Enterprises need to beware of the risk that AI lowers the barrier to attack.

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07News

Bridgewater Fine-Tunes Qwen3-235B with Thinking Machines Lab, Surpassing GPT and Claude in Financial Document Analysis

Bridgewater and Thinking Machines Lab—the startup from former OpenAI CTO Mira Murati—have fine-tuned a Qwen3-235B model for financial tasks. According to their own testing, the model hits 84.7 percent accuracy, beating Gemini, Claude, and GPT at roughly one-fourteenth of the cost. The numbers haven't been verified by anyone outside the two companies, though.

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09News

The Cyberspace Administration of China again solicits opinions on the 'Internet Information Service Management Measures', first establishing"Intelligent information service"Special chapter regulates AI services

The draft adds a dedicated chapter on 'intelligent information services', requiring AI-generated content to be labeled, and algorithm recommendation to establish a human intervention mechanism. It also strengthens user account management, clarifies platform responsibilities, and establishes a serious trust-breaking list system. Feedback deadline is August 2.

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14News

Takeda and Insilico sign $600 million AI drug discovery agreement

Takeda and Hong Kong's Insilico Medicine reach strategic cooperation to use AI for early drug discovery. Insilico's Pharma.AI platform (including PandaOmics, Chemistry42, InClinico) will be used for target identification, molecular design and clinical trial prediction. The agreement includes approximately $60 million upfront and milestones, with total potential value of approximately $600 million. Takeda obtains global exclusive development, manufacturing and commercialization rights, and Insilico may receive tiered royalties. Insilico's self-developed AI drug Rentosertib (TNIK inhibitor, for idiopathic pulmonary fibrosis) has entered phase 2a clinical trial.

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18News

The Cyberspace Administration of China again solicits opinions on the 'Internet Information Service Management Measures', first establishing"Intelligent information service"Special chapter regulates AI services

On July 3, the Cyberspace Administration of China once again sought public comments on the Draft for Comments on the Revision of the Measures for the Administration of Internet Information Services. The draft adds a new chapter on "Intelligent Information Services," requiring AI service providers to disclose the basic principles of their technology and the sources of training data, label generated or synthesized content, and prohibit forcing users to use intelligent services or using algorithms to disrupt online public opinion. The draft also strengthens user account management, clarifying that accounts inactive for over six months may be cancelled according to agreement; it requires platforms to establish a feature database for cyberbullying information and provide protection options such as blocking and prohibiting reposting. The deadline for feedback is August 2.

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19News

Wallbox Intelligence Releases ForgeTrain, an AI-Automated Pre-training Framework That Catches Up to Megatron-LM in 8 Hours

Wallbox Intelligence has released ForgeTrain, the world's first production-grade large model pre-training framework written entirely by AI without human intervention. The framework automatically "forges" specialized training code from scratch tailored to specific models and hardware. Benchmarks show that ForgeTrain catches up to Megatron-LM within 8 hours, achieves stable outperformance within 1.5 to 2 days, improves model FLOPS utilization by approximately 8%–10%, and is transferable to different models (MiniCPM4-0.5B/8B) and hardware (H100 and Ascend NPU). It employs a four-stage Harness optimization process with fully automated decision-making. Wallbox Intelligence summarizes its engineering philosophy as "Forge Engineering."

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