We built a vulnerability vending machine: AI tokens in, zero-days out

Intruder built an AI-powered "vulnerability vending machine" that combines code slicing with LLMs to automatically discover ...
PC Magazine

MacBooks Are the Latest Victim of the Memory Shortage. Here's Why Laptop Prices Keep Rising

Memory costs have exploded in 2026, leading Apple and other computing giants to jack up laptop prices. Against that backdrop, here’s how to save on a new PC this year. From the laptops on your desk to ...
Crypto Briefing

Tether AI open-sources TurboQuant, reducing LLM KV cache memory use by 5x

Tether AI just released TurboQuant as open-source software, delivering a tool that compresses the memory footprint of large language model inference by up to five times. The technology targets a ...
VentureBeat

MeMo's memory model lets teams upgrade their LLM without retraining it — and performance jumps 26%

Enabling LLMs to acquire new knowledge after training remains a major hurdle for enterprise AI — current solutions are either too expensive, too slow, or constrained by context window limits. MeMo, a ...
The Motley Fool

The Roundhill Memory ETF (DRAM) Packages Micron, Sandisk, Samsung, and SK Hynix in 1 Ticker for Just $60. But There's a Catch.

Hyperscale AI workloads require up to 10 times more DRAM to keep GPU clusters humming without latency bottlenecks. HBM has become a must-have resource, powering everything from large language model ...
SiliconANGLE

Tensormesh taps Nvidia, AMD and CoreWeave for funding to fix AI model memory problems

Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for redundant computations, and its technology is so convincing that several of AI ...
marktechpost

MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters

Large language models become static after pretraining. Their knowledge does not update as the world changes. Retraining a full LLM is too expensive at modern scales. Fine-tuning risks degrading ...
Semiconductor Engineering

Four-Tier Memory Hierarchy for LLM Reasoning (USC, UW)

A new technical paper, “Not All Thoughts Need HBM: Semantics-Aware Memory Hierarchy for LLM Reasoning,” was published by researchers at USC and University of Wisconsin-Madison. “Reasoning LLMs produce ...
marktechpost

A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications

In this tutorial, we implement how Memori serves as an agent-native memory infrastructure layer for building more persistent, context-aware LLM applications. We start by setting up Memori in a Google ...
Hacker

How I Built a Local LLM Wiki in Obsidian

Obsidian is a note-taking app that stores everything as plain text markdown on your own machine. Think of it as a folder of Word documents that can link to each other. I run two vaults in Obsidian. A ...
The Conversation

Photographic memory is a myth – here’s what research really says about remembering

Hollywood loves a superpower. Not all involve capes or cosmic rays. Some are cognitive: characters who can remember everything. In movies and on TV, viewers repeatedly encounter those with ...