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AI Mode in Google Search now lets you ask follow-ups from AI Overviews

Google is quietly eroding the fundamental structure of web search itself, allowing users to stay trapped in AI-generated answers rather than clicking through to actual websites—a shift that could devastate publishers already reeling from the company's algorithmic whims. The new follow-up feature, which keeps conversations within Google's AI Overview rather than sending traffic elsewhere, represents a stark departure from the company's original mission to organize the web's information, not replace it. For the first time, Google is explicitly choosing engagement over the open internet, betting that users would rather chat with an AI than discover new sources.

Digital Trends·
RelatedGoogle

6 sources

PCWorldAndroid PolicePlatformer
Why Massive AI Models Actually Generalize Better Neuroscience News
Media

Why Massive AI Models Actually Generalize Better Neuroscience News

by GenAI Lab — Why it matters

Medium·
Research

CyberSecQwen-4B: Why Defensive Cyber Needs Small, Specialized, Locally-Runnable Models

Hugging Face·
Improving Bash Generation in Small Language Models with Grammar-Constrained Decoding
Research

Improving Bash Generation in Small Language Models with Grammar-Constrained Decoding

Bash is one of the most flexible and powerful interfaces exposed to AI agents. In the right system, a model that emits grep, curl, tar, or a shell pipeline is... Bash is one of the most flexible and...

NVIDIA Developer·
Discussions

New AI model spots pancreatic cancer up to 3 years earlier than human doctors in test

r/artificial·
Discussions

The hidden meanings behind Claude model names (Haiku, Sonnet, Opus, Mythos)

A lot of people use Claude models every day, but many don’t actually know the meaning behind the names. Each one comes from literature, music, or mythology, and the meaning actually reflects the...

r/ClaudeAI·
Related Anthropic Mythos Claude
Research

OpenAI Releases Three Realtime Audio Models: GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper in the Realtime API

Three purpose-built audio models expand what developers can build with live voice: reasoning agents, speech translation across 70+ languages, and streaming transcription. The post OpenAI Releases...

Marktechpost·
Related OpenAIWhisper
Research

v2.1.136

What's changed Added CLAUDE_CODE_ENABLE_FEEDBACK_SURVEY_FOR_OTEL to re-enable the session quality survey for enterprises capturing responses through OpenTelemetry Added settings.autoMode.hard_deny...

Claude Code Releases·
Discussions

Donating our open-source alignment tool

In October 2025, we launched Petri, an open-source toolbox of alignment tests that can be applied to any large language model. Petri, which was developed as part of our Anthropic Fellows program, can...

r/accelerate·
Related Anthropic
Inside Claude Code’s Leak: 8 Compaction Modes, 3 Memory Tiers, 44 Flags Anthropic Never Talked…
Media

Inside Claude Code’s Leak: 8 Compaction Modes, 3 Memory Tiers, 44 Flags Anthropic Never Talked…

by Anubhav — What 512,000 lines of accidentally-published TypeScript actually reveal about how a production agent stays alive across long conversations.

Towards AI·
Related Anthropic Claude Claude Code
Discussions

**Built my own model-agnostic AI workstation because I was tired of platform lock-in — free, BYOAK, open source**

Tired of rebuilding context every time I switched models. Tired of my personas living inside OpenAI's walled garden. Built something to fix it. **Architect's Domain**, a workstation UI that sits on...

r/artificial·
Related OpenAI
Discussions

POV: Anthropic releases their new model

r/ClaudeAI·
Related Anthropic
Media

Trump Pivots on AI Regulation, Worker Ousted by DOGE Runs for Office, and Hantavirus Explained

Today on Uncanny Valley, we’re diving into recent reports that the Trump administration is considering an executive order that would establish some sort of federal oversight over new AI models.

Wired AI·
Media

From Data Scientist to AI Architect

by Sara A. Metwalli — The end of model-centric thinking in data science The post From Data Scientist to AI Architect appeared first on Towards Data Science.

Towards Data Science·
Media

Chrome's 4GB AI model isn't new, but you're not wrong for being confused

You can stop Chrome from taking up 4GB of storage for local AI, but that shouldn't be your problem.

Ars Technica AI·
Discussions

Embedding models for time series data [D]

Does anyone know any open source embedding models that work on time series data? Ideally one that works on the frequency domain Fourier transforms so it can support variable length series

r/MachineLearning·
Discussions

Gemma 4 26B Hits 600 Tok/s on One RTX 5090

I ran a benchmark to see how much DFlash speculative decoding actually helps in vLLM. Setup: GPU: RTX 5090, 32GB VRAM vLLM: 0.19.2rc1 Main model: cyankiwi/gemma-4-26B-A4B-it-AWQ-4bit Draft model:...

r/LocalLLaMA·
RelatedGoogleGemma 4RTX 5090
Anthropic Introduces Natural Language Autoencoders That Convert Claude’s Internal Activations Directly into Human-Readable Text Explanations
Research

Anthropic Introduces Natural Language Autoencoders That Convert Claude’s Internal Activations Directly into Human-Readable Text Explanations

When you type a message to Claude, something invisible happens in the middle. The words you send get converted into long lists of numbers called activations that the model uses to process context and...

Marktechpost·
Related Anthropic Claude
Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer
Research

Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer

Model quantization is an effective method to reduce VRAM usage and improve inference performance on consumer devices such as NVIDIA GeForce RTX GPUs. By... Model quantization is an effective method...

NVIDIA Developer·
RelatedNVIDIANVIDIA

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