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Google Search AI Mode Gets 'Expert Advice' From Reddit and Social Media

Google is increasingly turning to Reddit and other social media platforms to train its AI search feature, a shift that raises uncomfortable questions about whether the company is essentially monetizing user-generated content without explicit permission while simultaneously relying on the very forums it once tried to suppress from search results. The move exposes a fundamental tension in Silicon Valley's AI gold rush: the same unmoderated social platforms that tech companies have long treated as sources of misinformation are now being mined as training data to power premium AI products. For everyday users, it means Google's AI recommendations may soon echo the same unvetted opinions, bad advice, and hidden agendas that have made Reddit and Twitter simultaneously useful and unreliable.

MacRumors·May 6

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3 sources

MSN

Android Authority

Research

Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models

Nous Research releases Token Superposition Training (TST), a two-phase pre-training method that cuts wall-clock training time by up to 2.5x at matched FLOPs by averaging contiguous token embeddings...

Marktechpost·18m ago

Discussions

I'm cooked. Anthropic just split "--print" mode to $/mo credits

So, my entire project concept of an autonomous self-monitoring self-orchestrating Kanban production system for Claude Code to live within has now potentially been torpedoed. I built the entire system...

r/ClaudeAI·7h ago

RelatedAnthropic Claude Claude Code

Discussions

24+ tok/s from ~30B MoE models on an old GTX 1080 (8 GB VRAM, 128k context)

I got Qwen 3.6 35B-A3B and Gemma 4 26B-A4B running on a $200 secondhand machine (i7-6700 / GTX 1080 / 32 GB RAM) using llama.cpp (the TurboQuant/RotorQuant KV cache quantisation allows 128k context...

r/LocalLLaMA·9h ago

Research

Build financial document processing with Pulse AI and Amazon Bedrock

This post demonstrates how to build a documentation extraction and model fine-tuning pipeline that addresses challenges when processing the complex financial documents. By combining Pulse AI's...

AWS ML Blog·12h ago

Media

Anthropic blames dystopian sci-fi for training AI models to act “evil”

But training on "synthetic stories" that model good AI behavior can help.

Ars Technica AI·13h ago

RelatedAnthropic

Media

MCP vs Tool Use vs Function Calling: LLM Integration Guide

by Armin Norouzi, Ph.D — Three different terms, three different architectures, one underlying problem: how do you connect a large language model to the rest of the…

Towards AI·15h ago

Media

Papers Explained 559: Composer 2

by Ritvik Rastogi — Composer 2 is a specialized, frontier-level coding model designed for agentic software engineering, with strong long-term planning…

Medium·1h ago

Discussions

Trained transformer-based chess models to play like humans (including thinking time) [P]

I trained a set of deep learning (transformer-based) chess models to play like humans (inspired by MAIA and Grandmaster Chess Without Search). There's a separate model for each 100-point rating...

r/MachineLearning·7h ago

Research

Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size

Fastino Labs has released GLiGuard, a 300M parameter open-source safety moderation model that evaluates four safety tasks — prompt safety, jailbreak strategy detection, harm category classification,...

Marktechpost·9h ago

Research

mimalloc: A new, high-performance, scalable memory allocator for the modern era

mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively small (~12K lines), with clear internal data structures, and is easy...

Microsoft Research·12h ago

Media

Origin Lab raises $8M to help video game companies sell data to world-model builders

Origin Lab will serve as a marketplace where AI labs can buy high-quality licensed data, and video-game companies can sell it.

TechCrunch AI·13h ago

Media

What’s the Best Way to Brainwash an LLM?

by Ferran Alia — I spent a weekend trying to convince a language model it was C-3PO. Here's what actually worked. The post What’s the Best Way to Brainwash an LLM? appeared first on Towards Data Science.

Towards Data Science·16h ago

Research

How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection

In this tutorial, we build a realistic Zero-Trust network simulation by modeling a micro-segmented environment as a directed graph and forcing every request to earn access through continuous...

Marktechpost·3h ago

Discussions

Scenema Audio: Zero-shot expressive voice cloning and speech generation [N]

We've been building Scenema Audio as part of our video production platform at scenema.ai, and we're releasing the model weights and inference code. The core idea: emotional performance and voice...

r/MachineLearning·8h ago

Media

AI Agent Logical Architecture

by Bran Kop, Engineer @Conformal, Founder of aiHQ — From Zachman to Three AmigosEveryone is rushing to build AI agents, but far too many teams are starting in the wrong place. They begin with a model, a framework, a vector database, or a cloud service...

Towards AI·11h ago

RelatedClaude

Discussions

DramaBox - Most Expressive Voice model ever based on LTX 2.3

The Most Expressive Voice Model. Github: https://github.com/resemble-ai/DramaBox HF Model: https://huggingface.co/ResembleAI/Dramabox HF Space: https://huggingface.co/spaces/ResembleAI/Dramabox

r/LocalLLaMA·12h ago

RelatedHugging Face Hugging Face

Research

GridSFM: A new, small foundation model for the electric grid

Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct...

Microsoft Research·14h ago

Media

Adaption aims big with AutoScientist, an AI tool that helps models train themselves

Adaption's new AutoScientist tool is designed to let models adapt to specific capabilities quickly through an automated approach to conventional fine-tuning.

TechCrunch AI·17h ago

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mode ai is a trending topic in artificial intelligence. Best AI News Today aggregates the latest news and developments about mode ai from over 30 sources including research papers, tech publications, and community discussions.

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As of today, there are 277 recent stories about mode ai. Recent headlines include: Nous Research Releases Token Superposition Training to Speed Up LLM Pre-Training by Up to 2.5x Across 270M to 10B Parameter Models; Papers Explained 559: Composer 2; How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection. This page is updated every 15 minutes with the latest coverage.

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