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AWS releases open-source Strands harness for building general-purpose AI agents

Strands harness is a preassembled agent harness that developers can run locally or deploy to cloud providers with a single line of Python or TypeScript code, released under an Apache 2.0 license. It is designed as a general-purpose agent rather than a coding-specific one, and its makers report it costs 28% less than comparable harnesses across six benchmarks while maintaining similar or better accuracy, and 77% less than Claude Code on the Fable 5 benchmark while scoring higher on Terminal Bench 2.1.

Cisco Talos finds malware querying four AI chatbots to self-direct attacks

Cisco Talos researchers identified Windows malware named CLOSEDQUORUM that consults DeepSeek, Qwen, Mistral and Google Gemini to decide its next actions on infected machines, continuing to function if one service goes down. The tool, designed to steal credentials and cryptocurrency, has no built-in mechanism for human operators to issue commands directly, and Talos linked it to 2025 credit-card fraud forum activity, though the creator and any real-world targets remain unidentified.

Congressional briefing highlights China's lead in open-weight AI models

An AI researcher briefed members of Congress and staff on the current state of open-weight versus open-source language models, framed within U.S.-China competition. The briefing distinguished closed API-only models like GPT-4 and Claude from open-weight models such as Meta's Llama, Alibaba's Qwen and DeepSeek, and from fully open-source models like the Allen Institute's Olmo, noting Chinese firms have led in open-weight releases since around April 2025.

Cisco Talos finds ClosedQuorum, a Windows malware that uses AI models to run attacks

Cisco Talos researchers identified a Go-based Windows malware called ClosedQuorum that queries Google Gemini, DeepSeek, Qwen, and Mistral to decide post-compromise actions without human input. The models vote on options such as credential theft, code injection, and persistence, with DeepSeek breaking ties, and stolen data is sent to attackers via a Discord webhook.

Ogre Battle 64 N64-to-PC decompilation project nears completion at 99.05%

An open-source project porting Ogre Battle 64: Person of Lordly Caliber from N64 to native PC using static recompilation via N64Recomp has fully converted the game's main code segment of 807 functions into C. The team, which used the DeepSeek v4/v4.1 Flash AI model for much of the work, now moves to building the runtime layer covering rendering, input, and audio.

US AI firms flag distillation attacks used by China and Russia to copy frontier models

American AI developers have alerted US authorities that foreign actors, likely from China and Russia, are using distillation techniques to replicate the capabilities of Western frontier models at much lower cost. These attacks reportedly involve buying logs of conversations from legitimate accounts to extract training data, making the practice difficult to fully stop despite lab collaboration efforts started earlier in 2026. China has denied the accusations and warned it will impose 'countermeasures' if the US uses this issue to justify restricting Chinese AI development.

Cactus releases Needle 3, an 8-29MB on-device model for automation tasks

Cactus launched Needle 3, a foundation model small enough to run as a single 8-29MB binary on phones, wearables, robots, smart home hubs and cars. Built on what the company calls a Simple Attention Network, it sacrifices general chat ability to specialize in three tasks: text embedding for local search, structured data extraction from messy text, and tool calling that maps spoken requests to app functions. The company claims it outperforms models ten times larger on mobile tool calls and matches models two to three times bigger on extraction.

Chinese AI firms trail OpenAI, Anthropic by 10x in revenue, Rhodium finds

Rhodium Group estimates that all major Chinese AI companies combined—including DeepSeek, MiniMax, Moonshot, Z.ai, ByteDance and Alibaba—generate roughly one-tenth the annualized revenue of OpenAI and Anthropic alone. DeepSeek's estimated annual recurring revenue is just $500 million, while OpenAI's reaches $40 billion and Anthropic's $65 billion.

DeepSeek unveils V4.1 Flash with 4x KV cache compression and 420 tokens/sec speed

DeepSeek released V4.1 Flash, a model initially mistaken for a minor update but revealed via its technical report to be a significant architectural overhaul, effectively a V5-class release. It achieves near 420 tokens/second throughput while compressing KV cache by 4x through techniques including cross-layer compression, sparse attention indexing optimizations, and FP4 precision, alongside a YOCO-inspired prefill design that only activates 8B parameters during prefill versus 16B during decode across its 40 layers.

New AI system built specifically for ageing research outperforms general models

A study published in Cell introduces a specialized AI toolkit for longevity research, including large language models trained specifically on ageing-biology data, 17 benchmark tasks to evaluate performance on ageing-related questions, and an interface linking these models with AI research assistants. When tested against major commercial models from companies like OpenAI and DeepSeek, the purpose-built ageing models outperformed the larger general-purpose systems on most benchmark tasks.

DeepSeek V4.1 Flash tops AI hacking benchmark, cracks 11 of 11 targets for $4.65

DeepSeek V4.1 Flash achieved code execution on all 11 vulnerable systems in an AI hacking benchmark while leaving four patched systems untouched, at a total cost of just $4.65 for accepted runs. A manual review found the model discovered five novel attack paths beyond the six expected solutions, including a faster exploit against Grafana that bypassed the intended vulnerability entirely.

China Daily dismisses Anthropic's AI slowdown call as anti-China maneuver

China's state-run China Daily newspaper pushed back against Anthropic CEO Dario Amodei's proposal to slow the pace of frontier AI development, an idea also backed by Sam Altman and Elon Musk. The publication argued the plan is less about safety concerns and more a coordinated attempt to hobble China's AI progress, secure friendlier U.S. regulation, and sustain investor enthusiasm for American AI firms.