Blockchain.ai Launches Solana Copy Trading

Blockchain.ai launched automated copy trading for Solana wallets, letting users follow trades from any wallet automatically. Users can research wallet history, set trade sizes and limits, and fund copies with USDC, USDT or SOL. Each copy runs in a separate vault secured through Turnkey, and users can pause or withdraw at any time.

Key Takeaways

  • <ul><li>Blockchain.ai launched automated Solana copy trading with vault-based security through Turnkey</li><li>Tria's Agentic Trading connects Claude and ChatGPT to execute crypto trades on Hyperliquid and Decibel</li><li>India's DEPA framework could generate $500 billion by 2030 through AI data access</li><li>DoorDash cut grocery reorder time from 16 seconds to 2 seconds using AI agents</li><li>OpenAI faced backlash over how it released AI math and physics results</li><li>Apple CEO John Ternus discussed AI and new hardware in recent interview</li></ul>

Blockchain.ai launches automated Solana copy trading

Blockchain.ai launched a feature that lets users copy trades from any Solana wallet automatically. Users can check wallet history, set trade sizes and limits, and fund copies with USDC, USDT or SOL. Each copy runs in a separate vault secured through Turnkey. The platform also connects AI assistants to onchain data through its MCP server.

Blockchain.ai launches automated Solana copy trading

Blockchain.ai introduced automated copy trading for Solana wallets. Users can research wallets using trade history, token holdings and performance stats before copying. Trade sizing can be set using scaled or fixed amounts, with limits on slippage and buy delay. Copies run in separate vaults, and users can pause or withdraw funds at any time.

Tria launches AI agent trading with self-custody

Tria launched Agentic Trading, letting users connect AI tools like Claude and ChatGPT to execute crypto trades. The feature supports perpetual futures trading on Hyperliquid and Decibel through Tria accounts. Users keep full control because agents only get trade-only keys that cannot withdraw funds. The feature was built from feedback during Tria's private beta.

India proposes DEPA framework for AI data and privacy

India proposed a draft DEPA framework to unlock data for AI training while protecting privacy. The plan aims to create secure data environments and could generate $500 billion in value by 2030. It uses a multi-stakeholder approach involving government, industry and civil society. A Data Protection Authority would oversee implementation in phases.

MeitY proposes privacy-led framework for AI model training

MeitY proposed a consent-based DEPA framework to help startups and institutions access India-specific data for AI training. It uses confidential clean rooms, differential privacy and zero-trust security to protect raw data. The framework defines data providers, data consumers and data collectives as key roles. Trained models must pass independent checks for bias, fairness and safety before approval.

AI shoppers still trust real people for product advice

An IAB study found that 65% of shoppers who use AI still rely on creator reviews to feel confident in recommendations. The survey of 2,200 people showed 52% trusted everyday consumers more than professional reviewers. Younger shoppers aged 18 to 34 are leading AI adoption for holiday shopping. Experts say brands should combine AI tools with real human reviews to build trust.

AI-generated video of Susan Dell was fake, fact check finds

A video showing Susan Dell dancing was confirmed to be AI-generated. The video was posted on Instagram on October 16, 2026 with AI disclaimers. Detection tools Hive Moderation and Sightengine rated the clip as 87.5% to 99% likely AI-generated. Susan Dell is the wife of Dell Technologies CEO Michael Dell.

OpenAI faces backlash over AI math and physics breakthroughs

OpenAI angered scientists after its AI solved three hard problems in math, computer science, and physics. Researchers criticized the company for hard-to-verify proofs and for choosing who reviews the results first. The release process raised concerns about the future role of human scientists. The discussion also addressed how to talk to teens about AI and how to manage AI agents.

DoorDash uses AI agents to speed up grocery reorders

DoorDash reduced grocery reorder time from 16 seconds to 2 seconds using AI agents. The system uses batch large language model inference and live product catalog resolution. A shared platform handles orchestration, memory, and rollout controls. DoorDash reported that adding its Reservations agent took one week, about ten times faster than building its first domain agents.

New framework adds governance to federated AI learning

Researchers proposed Governance-Aware Federated Learning, or GAFL, to improve oversight in multi-agent AI systems. The framework adds trust verification, fairness assessment, and audit logging to federated learning. A test with 10 participants found complete GAFL identified all falsified evidence cases. The study shows a trade-off between strict fairness rules and system accuracy.

Amazon Q3 Print Shows AI Demand Outpaces Supply

Amazon's Q3 print showed that AI demand is exceeding supply. BofA Securities reported that sequential dollar growth is slowing. The information was shared in a report from October 30, 2026.

Apple CEO John Ternus Discusses AI and New Products

Apple CEO John Ternus said his biggest passion is building great products. He spoke about AI and new hardware in a recent interview. Apple recently unveiled the MacBook Pro with PROLED XDR. Ternus said he enjoys learning about different parts of the business since becoming CEO.

New Architecture Improves Financial AI Reliability

Researchers presented a three-engine architecture for financial AI systems. The design uses a financial knowledge graph, a deterministic optimization engine, and a multi-agent LLM layer. Context engineering coordinates these parts to improve accuracy. In 15 deployments over about 11 months, multi-agent validation reduced hallucination rates from 7-9% to below 1%. Deployment time also dropped from about six weeks to two weeks.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

Blockchain.ai Automated Copy Trading Solana Wallets Vault-Based Security Turnkey Crypto Trading AI Agents AI Data Access AI Math and Physics AI Hardware

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