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Your family’s $300 stake in OpenAI

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. OpenAI CEO Sam Altman’s oft-discussed promise that Americans will share in the wealth AI creates was in the news again last week. On Thursday, the Financial Times reported that Altman is in…

2026-07-07 原文 →
AI 资讯

Operation DragonReturn: DcRAT Deployment via Fake ITR Utilities

Originally published on satyamrastogi.com Seqrite Labs identifies multi-stage DcRAT campaign impersonating India's Income Tax Department. Attackers exploit tax professional workflows to deliver remote access trojans capable of data exfiltration and lateral movement. Operation DragonReturn: DcRAT Deployment via Fake ITR Utilities Executive Summary A China-nexus threat cluster is actively exploiting the predictable workflows of Indian tax professionals, corporate finance teams, and individual taxpayers through phishing campaigns distributing DcRAT (Dark Crystal Remote Access Trojan). Operation DragonReturn, as tracked by Seqrite Labs, demonstrates sophisticated understanding of Indian taxation cycles and organizational structures - critical operational intelligence required for high-success-rate social engineering. From an attacker's perspective, this campaign is methodologically sound: it targets a specific, predictable event (tax filing deadlines), uses trusted entity impersonation (Income Tax Department), and deploys a mature RAT with established evasion capabilities. The selection of DcRAT indicates access to commodity malware-as-a-service (MaaS) infrastructure, likely from Chinese underground forums where such tools are actively monetized and continuously updated. Attack Vector Analysis This operation chains multiple MITRE ATT&CK techniques into a cohesive infection chain: Initial Compromise: Spear-Phishing with Pretexting Attackers execute T1566.002 (Phishing - Spearphishing Attachment) by crafting emails impersonating legitimate Indian Income Tax Department communications. The social engineering layer leverages T1598.003 (Phishing - Spearphishing Link) with URLs pointing to malicious tax filing utilities. Pretexting is enhanced through T1589.001 (Gather Victim Identity Information - Credentials) , as attackers likely harvested tax professional contact lists from public records, LinkedIn OSINT, or previous data breaches. The timing of campaigns around Indian fis

2026-07-07 原文 →
AI 资讯

Cloudflare Details Unified Data Platform Where Billing Workloads Account for 53% of Queries

Cloudflare details Town Lake, an internal unified data platform, and Skipper, an AI analytics agent unifying access to operational, billing, security, and business data. The platform processed ~91K billing queries, with billing forming majority usage. Built on a lakehouse architecture using Trino, Iceberg, R2, and DataHub, it enables governed cross-system analytics and natural language access. By Leela Kumili

2026-07-03 原文 →
AI 资讯

Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice

The speakers discuss Agent RFT, OpenAI’s platform for fine-tuning reasoning models via real-time tool interactions and custom reward signals. They explain how reinforcement learning solves complex credit assignment challenges within the context window. They share enterprise success stories, showing how Agent RFT eliminates long-tail token loops and drives extreme efficiency. By Wenjie Zi, Will Hang

2026-07-03 原文 →
AI 资讯

Achieving operational excellence with AI

Frameworks like Lean Six Sigma and business process management (BPM) first gained traction because they promised clarity in the chaos—a structured way to bring order to messy, sprawling operations. Lean Six Sigma emphasized statistical rigor and quality control; BPM created end-to-end maps of how work should flow across departments. Both offered a repeatable way to…

2026-07-02 原文 →
AI 资讯

Teaching AI to run with the turbines

Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfolding far from consumer-facing tools. In industries where physical infrastructure, operational continuity, and safety are paramount, AI is becoming a core operating layer. With its sprawling industrial systems and constant stream of operational…

2026-07-02 原文 →
AI 资讯

Presentation: Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs

Cassie Shum discusses the architectural evolution of GraphRAG and why data foundations are critical for advanced AI workflows. She explains how traditional vector RAG falls short when addressing global context, multi-hop reasoning, and provenance. She shares enterprise strategies for building semantically structured knowledge graphs that shift raw orchestrating logic down to the data layer. By Cassie Shum

2026-07-01 原文 →