Vertu wants CEOs to run companies from an AI foldable starting at $6,880

The post Vertu’s New $6,880 AI Foldable Phone Targets CEOs Who Run Companies On The Go appeared on BitcoinEthereumNews.com. Vertu’s New $6,880 AI Foldable Phone Targets CEOs Who Run Companies On The Go Skip to content Home AI News Vertu’s new $6,880 AI foldable phone targets CEOs who run companies on the go Source: https://bitcoinworld.co.in/vertu-alphafold-ai-foldable-phone-enterprise/

Diverging CEO confidence amid geopolitical tensions may signal market volatility, impacting consumer sectors and investor strategies. The post CEOs lose confidence in economy amid ongoing Iran war appeared first on Crypto Briefing.

"CEOs are uniquely prone to AI psychosis," Box CEO Aaron Levie opines. Maybe that explains the almost religious belief in AI productivity gains.

Tencent has open-sourced TencentDB Agent Memory, a fully local memory system for AI agents released under the MIT license. The project pairs symbolic short-term memory, which offloads verbose tool logs into a compact Mermaid task canvas, with a 4-tier long-term memory pyramid (L0 Conversation → L1 Atom → L2 Scenario → L3 Persona). It ships as an OpenClaw plugin and a Hermes Docker image, runs on local SQLite + sqlite-vec by default, and uses hybrid BM25 + vector retrieval with RRF fusion. Tencent's own benchmarks report a 61.38% token reduction and 51.52% relative pass-rate gain on WideSearch with OpenClaw, alongside PersonaMem accuracy moving from 48% to 76%. The post Tencent Open-Sources TencentDB Agent Memory: A 4-Tier Local Memory Pipeline for AI Agents appeared first on MarkTechPost.

A real astrology engine disguised as a fortune teller. A scammer-punishment machine loaded with the Shrek screenplay. A tool that reads any book and maps every idea to your actual life. These are not normal skills.

AI agents start every session from zero — no memory of meetings, notes, or decisions. GBrain, the open-source memory layer Y Combinator's Garry Tan built to power his own OpenClaw and Hermes deployments, fixes that with a markdown-first knowledge graph that wires itself through regex inference, not LLM calls. This step-by-step coding tutorial walks through installing GBrain v0.38.2.0, building a brain repo, running hybrid search, and connecting it to Claude Code via MCP — about 20 minutes, all terminal output captured live. The post A Step-by-Step Coding Tutorial to Implement GBrain: The Self-Wiring Memory Layer Built by Y Combinator’s Garry Tan for AI Agents appeared first on MarkTechPost.

The 20 AI Sales, Marketing & GTM CEOs You Need to Know in 2026 Every enterprise revenue team, from a scrappy startup running cold outbound to a Fortune 500 deploying agentic AI across its entire GTM motion, depends on software. The CEOs building that software are, in many ways, defining how companies find customers, close deals, […]

Representative James Comer, Republican of Kentucky and chairman of the House Oversight and Government Reform Committee, announced a formal investigation into prediction market platforms Polymarket and Kalshi on May 22 — demanding that the CEOs of both companies explain how their platforms detect and prevent insider trading, in a probe triggered by a series of […]