Legal Innovators New York – Nov 19 + 20
We will be holding Legal Innovators New York on November 19 + 20 at the Time-Life building in Midtown. To help you get RSVP-ed for the landmark …
2025
Can You Hear the Future? SquadStack’s AI Voice Just Fooled 81% of Listeners
Imagine answering a call and chatting away, only to find out minutes later that the “person” on the other end wasn’t human at all. Creepy? Impressive? Maybe a bit of…
Google, Microsoft, and Meta Have Stopped Publishing Workforce Diversity Data
Other big tech companies including Amazon, Apple, and Nvidia have continued their annual disclosures this year even as the Trump administration cracks down on DEI.
Comparing the Top 6 Inference Runtimes for LLM Serving in 2025
Large language models are now limited less by training and more by how fast and cheaply we can serve tokens under real traffic. That comes down to three implementation details:…
Legora Launches Client Collaboration Portal + AL Interview
Legal AI productivity platform Legora has launched ‘Portal’, the company’s big step into collaboration, allowing law firms and their clients to work through a ‘secure, …
‘Landfall’ spyware abused zero-day to hack Samsung Galaxy phones
A newly identified Android spyware targeted Galaxy devices for close to a year, including users in the Middle East, researchers exclusively tell TechCrunch.
Moonshot släpper nytt LLM: Kimi K2 Thinking
Kimi K2 Thinking är Moonshot AI:s senaste AI-modell som släpptes öppen källkod. Det kinesiska startupen som stöds av Alibaba har byggt modellen som en ”tänkande agent”. Modellen använder en Mixture-of-Experts…
Build a Multi-Agent System for Integrated Transcriptomic, Proteomic, and Metabolomic Data Interpretation with Pathway Reasoning
In this tutorial, we build an advanced multi-agent pipeline that interprets integrated omics data, including transcriptomics, proteomics, and metabolomics, to uncover key biological insights. We begin by generating coherent synthetic…
RL without TD learning
In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD)…
Gemini Deep Research kan nu integrera data från flera källor
Google har precis släppt en av de mest efterfrågade funktionerna för Gemini Deep Research – möjligheten att dyka ner i din egen Workspace-data. Tidigare var Deep Research begränsad till webben…