Your SEO strategy is optimized for a search engine that no longer exists.
Google I/O made it official: AI-generated answers are now front and center in search, and most brands have almost no visibility into how AI is describing them to their customers. For anyone who has spent years building a strategy around 10 blue links, the rules just changed in a pretty significant w...
NVIDIA Releases Polar, a Token-Faithful Rollout Framework for GRPO Training Across Codex, Claude Code, and Qwen Code
NVIDIA researchers have introduced Polar, a rollout framework that trains language agents using reinforcement learning without modifying their agent harnesses. Polar places a model API proxy between the harness and the inference server, capturing token-level interactions and reconstructing trainer-r...
Last week, we had our first Infrastructure & Ops superstream of 2026, Platform Engineering in the Age of AI. Our speakers explored a range of topics focused on supporting new AI workloads, each with unique infrastructure needs, unpredictable costs, and novel security concerns. Google Cloud’s Abdel S...
Startup Battlefield 200 applications close today: Nominate a founder or submit your startup
Today is the final day to apply or nominate a startup for Startup Battlefield 200. Once the clock strikes 11:59 p.m. PT, the window closes on your chance to compete for $100,000 in equity-free funding, gain global visibility, connect directly with investors, and launch on the TechCrunch Disrupt stag...
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. The default behavior of any AI coding agent is to take the shortest path to “done.” Ask for a feature and it writes the feature. It doesn’t ask whether you have a spec, write a te...
Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
The EAGLE team, vLLM, and TorchSpec jointly release EAGLE 3.1 to fix speculative decoding instability in production.
The post Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference appeared first on MarkTechPost.
MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters
Researchers from NUS, MIT, and A*STAR propose MEMO, a modular framework that encodes corpus knowledge into a separate trainable MEMORY model.
The post MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters appeared first on MarkTechPost.
AI Weekly Issue #496: Anthropic's Pentagon model is now everyone's model
Anthropic released Mythos to the public, collapsing the wall between cleared-contractor frontier AI and developer-grade frontier AI in a single press release. DeepMind's Demis Hassabis moved his AGI timeline from "five to ten years" to "a real possibility by 2029" and tied it explicitly to AlphaProo...
DuckDuckGo installs are up 30% as users reject being ‘force-fed’ Google’s AI Search
Google overhauled Search at I/O 2026, replacing blue links with AI agents. The backlash has been swift. DuckDuckGo app installs spiked 30% as users seek a way out.
Stability AI Releases Stable Audio 3: A Family of Fast Latent Diffusion Models for Audio Generation and Editing
Stability AI has released Stable Audio 3, a family of latent diffusion models for instrumental music and sound effects generation. The release includes open weights for the small and medium variants. Small runs on a MacBook Pro M4 CPU. Medium fits on consumer GPUs with 8 GB of VRAM. Both generate st...
This startup is betting India’s gig economy can train the world’s robots
Human Archive, a startup founded by Berkeley and Stanford researchers, is paying gig workers in India to wear camera-equipped caps and sensor devices to collect the real-world physical training data that AI and robotics labs are racing to acquire.
Rethinking organizational design in the age of agentic AI
Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite ...
Who Authorized That? The Delegation Problem in Multi-Agent AI
Your AI agent booked a meeting, summarized a financial report, and emailed the highlights to three stakeholders. To do this, it called a calendar agent, a document analysis agent, and an email agent. Each accessed internal systems, made decisions about what to include, and acted on your behalf. Here...
Haven’t you heard? White-collar jobs are going away, decimated by AI. Waves of layoffs in the tech sector (most recently at Coinbase and Meta and Cisco) are said to presage what will soon come for all of us knowledge workers. But before you quit your job as a software developer or financial analyst—...
Meet OmniVoice Studio: A Local, Open-Source Alternative to ElevenLabs
OmniVoice Studio runs voice cloning, video dubbing, real-time dictation, and speaker diarization entirely on your own hardware. No API keys, no cloud account, and no subscription required. The project supports 646 languages for TTS and exposes an MCP server for integration with Claude, Cursor, or an...
AI Weekly Issue #496: Anthropic just opened its Pentagon-grade model to everyone
In the past 48 hours: Anthropic released Mythos — its Pentagon and NSA-deployed model — to the general public, resetting what counts as the public frontier. A coordinated SQL-injection campaign weaponised Ghost CMS across 700+ sites including Harvard and Oxford. Meta started cutting 8,000 jobs this ...
Together AI Open-Sources OSCAR: An Attention-Aware 2-Bit KV Cache Quantization System for Long-Context LLM Serving
Together AI has released OSCAR (Offline Spectral Covariance-Aware Rotation), an INT2 KV cache quantization method for long-context LLM serving. Unlike prior rotation-based approaches that apply data-oblivious Hadamard transforms, OSCAR derives separate rotations for keys and values from attention-aw...