We Asked 7 AI Agents to Predict the 2026 World Cup: Here's What They Said
Can AI help predict the winner of the 2026 World Cup? We put seven of the best models to the test.
FT AI·
What kind of sanctions could keep a non-human corporation in check?
Read full articleCan AI help predict the winner of the 2026 World Cup? We put seven of the best models to the test.
MetaMask has launched an early access version of Agent Wallet, a new non-custodial product that allows AI agents to execute crypto transactions under user-defined controls across Ethereum-compatible networks and Hyperliquid. According to a press release shared with crypto.news, the wallet…
The potential Iran nuclear deal could stabilize geopolitical tensions, impacting global oil markets and crypto dynamics amid ongoing sanctions. The post Trump says US is close to Iran nuclear deal, warns military action remains on the table appeared first on Crypto Briefing.
The Consensys-owned wallet provider opened early access Monday for autonomous AI agents to trade across 25+ EVM chains and Hyperliquid, with transaction simulation and $10,000 in loss coverage as the security pitch.
Low-code and no-code AI platforms now turn a prompt into a working app, agent, or model. This guide compares 21 tools across app builders, automation, AI agents, and machine learning platforms, each linked to its official site. The post Best 21 Low-Code and No-Code AI Tools in 2026 appeared first on MarkTechPost.
Google released the Colab CLI, letting developers and AI agents run local code on remote Colab GPU and TPU runtime The post Google’s New Colab CLI Lets Developers and AI Agents Run Python on Remote Colab GPUs and TPUs From the Terminal appeared first on MarkTechPost.
Travala’s new protocol lets AI agents search and book hotels with USDC on Base, but travelers still approve the final payment.
Microsoft has identified seven new failure modes in agentic AI systems, in addition to those it identified last year in its first Taxonomy of Failure Modes in Agentic AI Systems. Four things contributed to the growing list of ways agentic AI can go wrong: the speed at which the technology went mainstream, the growing maturity of the Model Context Protocol (MCP) ecosystem, the rise of computer-use agents, and finally the gathering of more empirical evidence as researchers obtained more real-life findings. The seven new failure modes it has identified are: Agentic Supply Chain Compromise —agent behavior can be affected by natural language rather than malicious code; Goal Hijacking — adversarial instructions appear aligned with legitimate task completion, while silently redirecting the agent’s terminal goal; Inter-Agent Trust Escalation —a compromised agent asserts false identity or inflates claimed permissions to an orchestrator; Computer Use Agent (CUA) Visual Attack — agents operating