Smithsonian Magazine

Elizebeth Smith Friedman Was the U.S. Government’s First Woman Codebreaker. She Cracked Nazi Codes, Saved 8,000 Lives and Pioneered Modern Codebreaking

For decades, Elizebeth Smith Friedman worked in near-total secrecy, cracking codes that shaped the outcome of two world wars.

'Ghostcommit' hides prompt injection in images to fool AI agents, steal secrets

A PNG hiding a prompt injection could steal your repo's secrets, researchers demonstrate. The technique, dubbed 'Ghostcommit, ...
Tech Times

Diffusion LLM Learns to Be Its Own Draft Model: NVIDIA Releases Tri-Mode Open Weights

Nemotron-Labs-Diffusion, NVIDIA’s new tri-mode language model, eliminates the separate draft model in speculative decoding: ...

Claude Code Espionage Campaign Exposes a New Enterprise AI Risk

Anthropic’s AI-run espionage report shows why enterprises need stronger governance for AI agents, MCP connectors, and ...
Tech Times

NVIDIA’s New LLM Decodes 6x More Tokens Without an Auxiliary Draft Model

NVIDIA Nemotron-Labs-Diffusion is a new tri-mode language model that eliminates the separate draft model in speculative ...
The Business Times

When the disruptor gets disrupted: How Chinese open-source AI is eating its own industry

Chinese labs have flooded the market with models that are free to download, cheap to run and increasingly hard to dismiss as ...

IBPS PO Syllabus 2026: Check New Exam Pattern and Topic-Wise Syllabus for Mains & Prelims

The Institute of Banking Personnel Selection will conduct the IBPS PO Prelims Exam in August 2026, across various centres in India. The officials have announced a new exam pattern and the syllabus for ...

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
marktechpost

DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA Blackwell

Autoregressive large language models generate text one token at a time. Each token waits for the one before it. This serial loop leaves modern GPUs underused and keeps inference slow. The cost grows ...