3+ day, 23+ hour ago  (844+ words) Threat actors are exploiting the rapid adoption of AI agents by designing malware that targets the agent itself. A new malware campaign, known as GhostClaw or GhostLoader, targets AI-assisted workflows and GitHub repositories to deliver credential-stealing payloads. The campaign preys…...

1+ week, 2+ day ago  (289+ words) Experiments show that V-JEPA 2.1 yields much better and faster results in robotic grasping, autonomous navigation of the physical world, predicting object interactions, and estimating 3D depth. These are the kinds of advances that can unlock new applications for AI in the…...

1+ mon, 1+ week ago  (291+ words) LLMs are getting pulled into longer and messier workflows, handling large inputs and generating longer and longer token sequences. Coding assistants need to keep track of repositories, issue threads, terminal outputs, and earlier edits. Research agents need to carry facts…...

1+ mon, 2+ week ago  (808+ words) New jailbreak attack dupes image generation models'Substack New jailbreak attack dupes image generation models Semantic Chaining exploits the fragmented safety architecture of multimodal models, bypassing filters by hiding prohibited intent within a sequence of benign edits. NeuralTrust researchers have identified…...

2+ mon, 19+ hour ago  (200+ words) A new technique developed by researchers at Sakana AI, called Context Re-Positioning (RePo), allows Large language models (LLMs) to dynamically re-organize their internal view of their input data to better handle long-context tasks. LLMs process information in a strictly linear…...

2+ mon, 1+ week ago  (435+ words) Recursive Language Models (RLMs), a new framework developed by researchers at MIT CSAIL, provide a solution to the limited context window of large language models (LLMs). This approach enables models to process arbitrarily long prompts without incurring massive memory costs…...

2+ mon, 3+ week ago  (512+ words) Inside Nvidia's new technique to optimize long-context inference and continual learning'Substack Inside Nvidia's new technique to optimize long-context inference and continual learning By treating language modeling as a continual learning problem, the TTT-E2E architecture achieves the accuracy of full-attention Transformers…...

3+ mon, 8+ min ago  (413+ words) Researchers at Meta have introduced VL-JEPA, a vision-language model built on a Joint Embedding Predictive Architecture (JEPA). Unlike traditional models that focus on generating text word-by-word, VL-JEPA focuses on predicting abstract representations of the world. Second, real-time tasks like live…...