According to @jessepollak, Base raised its block gas limit to 375 Mgas, unlocking higher burst capacity and improved throughput as activity grows; source: @jessepollak on X, Dec 20, 2025. The new Base App is live in 140+ countries as an everything app for social, trading, and payments with built-in ways for users to earn from content and activity; source: @jessepollak on X, Dec 20, 2025. Spend Permissions are live for all mini apps in Base App, enabling smooth transaction UX without unlimited token approvals; source: @jessepollak on X, Dec 20, 2025. Trading stack expanded: Banana Pro added Base support with swaps, limit orders, DCA, wallet tracking, and cross-chain views; source: @jessepollak on X, Dec 20, 2025. Liquidity access broadened: KuCoin Web3 enabled Coinbase-wrapped assets on Base including cbBTC, cbETH, cbXRP, cbDOGE, cbADA, and cbLTC, while BitgetWallet rolled out a new Base token list letting users hold BTC, XRP, and LTC alongside Base-native tokens; source: @jessepollak on X, Dec 20, 2025. Onchain markets grew with RollX v2, a self-custodial, community-owned perp trading platform opening its waitlist, and TrueMarkets launching a mini app for non-US users to access fully onchain prediction markets on mobile; source: @jessepollak on X, Dec 20, 2025. Execution and discovery tools advanced as Wowmax launched best-price swaps, cross-chain swaps across 20+ networks, and copy trading via its mini app, and UpscaleTrade went live with an onchain proprietary trading platform with Base wallet login, onchain payments, and a verified vault contract; source: @jessepollak on X, Dec 20, 2025. AI-driven trading arrived via Agentic Capital Markets from samterminalcom, where AI agents train on onchain data, discover signals, and execute trades autonomously on Base; source: @jessepollak on X, Dec 20, 2025. Fiat rails broadened with a 1:1 Malaysian Ringgit stablecoin on Base and Tria enabling Base assets for real-world spending via card top-ups while maintaining self-custody; source: @jessepollak on X, Dec 20, 2025. Engagement and trading campaigns accelerated as Avantis launched Leagues of Leverage and Layer3 kicked off 20 Days Onchain on Base; source: @jessepollak on X, Dec 20, 2025.

According to OpenAI, the GPT-5.2-Codex system card outlines comprehensive safety measures that include model-level mitigations such as specialized safety training for harmful tasks and prompt injection, and product-level mitigations such as agent sandboxing and configurable network access. Source: OpenAI. For crypto trading and DeFi automation workflows using AI agents, these documented controls define execution and connectivity limits for agents, clarifying how code is sandboxed and which external network calls are permitted. Source: OpenAI.

According to @milesdeutscher, a new demo from @HeyAnonai reinforced his bullish view on the future of crypto x AI agents, as stated in his X post dated Nov 13, 2025; source: @milesdeutscher on X. He added that he wished he had this tool in 2021 and last year, highlighting perceived utility for trading workflows and automation within the crypto market; source: @milesdeutscher on X. For traders, the post flags growing attention on AI-agent integrations within crypto infrastructure and tooling, making it relevant to monitor engagement and development updates around the linked demo; source: @milesdeutscher on X and the embedded @HeyAnonai demo link on X. No token or price data were provided in the post, so any positioning should be grounded in direct project announcements and observable engagement signals around AI-agent tools; source: @milesdeutscher on X.

According to @ranyi1115, x402 advances intent-based DeFi by pushing AI agent-driven interfaces on top of Orderly’s onchain backends and liquidity layers, source: @ranyi1115 on X. Traders on Orderly-powered DEXs can already use @StarchildOnX’s AI to analyze portfolios, perform technical analysis, and set alerts, source: @ranyi1115 on X. The product is currently in open beta and free to use, source: @ranyi1115 on X. A new Agent Marketplace tab is available to explore, source: @ranyi1115 on X.

According to @provenauthority, copy-trading already lives in user wallets and is currently social, public, and broadly equal-opportunity for participants, defining today’s on-chain benchmark for trade replication. According to @provenauthority, the emerging question is how an agentic edge alters outcomes in crypto markets—specifically whether agent-driven execution creates a technical arms race or a race to the bottom in alpha and PnL dispersion. According to @provenauthority, the post highlights that @billions_ntwk weighs in via the linked discussion, signaling a focused industry debate on the future of on-chain copy-trading and AI trading agents.

According to Balaji, Perplexity has presented a strong rebuttal to Cloudflare, emphasizing that AI agents function as direct extensions of human users. This means that when an AI agent submits an HTTP request, it should not be classified or treated as a bot. For crypto trading platforms leveraging AI-driven agents, this distinction is crucial for maintaining uninterrupted access to real-time data and trading APIs, as restrictive bot filters could disrupt automated trading strategies and market participation. This development underscores the importance of clear API usage policies for AI-powered trading tools, ensuring that algorithmic traders using AI do not face unnecessary access limitations. Source: Balaji (@balajis) via Twitter.

According to @jenzhuscott, the introduction of private on-chain authentication in the financial industry is a major advancement, as it allows AI agents to execute transactions without exposing user identities or proprietary decision logic (source: Twitter, May 25, 2025). This innovation also supports time-based and amount-based complex authentication policies, which can strengthen security and enable more flexible crypto trading strategies. These developments are expected to drive increased institutional adoption of on-chain AI tools while enhancing compliance with privacy regulations. The ability for AI-driven trading bots to securely interact with blockchain networks without leaking sensitive information is likely to boost confidence among traders, potentially accelerating the integration of AI within the cryptocurrency ecosystem.

According to Satya Nadella, NLWeb has launched an open project enabling users to interact with any website using natural language, positioning itself as a foundational technology akin to HTML for the agentic web (source: Satya Nadella Twitter, May 19, 2025). For crypto traders, this development could streamline interaction with decentralized exchanges and trading platforms, potentially increasing trading efficiency and lowering the technical barrier for new entrants. The integration of NLWeb with blockchain interfaces may also accelerate the adoption of AI-driven trading agents within the crypto ecosystem.

According to Miles Deutscher on Twitter, the adoption of AI agents for trading is accelerating, with a growing number of traders expected to use automated AI systems to execute strategies in the near future (source: @milesdeutscher, April 25, 2025). Deutscher recommends investors focus on companies and technologies that provide the underlying infrastructure for AI-driven trading, as these are likely to see increased demand. For traders, experimenting with AI-powered tools and backtesting strategies using machine learning platforms can yield a competitive advantage as the market evolves. This actionable insight is particularly relevant for those seeking to capitalize on the AI trading trend and infrastructure growth within the cryptocurrency sector.