4,429 stories
Fine-tuning LLM agents needs more than just text. Synthetic data helps you build robust, multi-turn interaction datasets without the cost or risk of real user data.
Goodfire researcher Eric Bigelow discusses how large language models make decisions during text generation. Drawing on cognitive science and mechanistic interpretability, he explains how critical tokens cause sudden phase shifts and how models adapt to their own sampled reasoning chains.
AI sales agent workflow templates for lead sourcing, personalization, sending, reply handling, and CRM sync across unlimited inboxes. Deploy five repeatable systems across 10 to 150 plus inboxes without rebuilding from scratch, protecting deliverability and scaling cost per meeting safely.
AI voice agents for sales work best as a second touch for leads who showed email intent, not as a cold call replacement. This guide gives you the benchmarks, ROI formulas, compliance guardrails, and a 30 day rollout plan to test voice on one segment and measure cost per qualified meeting.
AI prompts for sales rep onboarding work best as a governed system that maps prompts to 30-60-90 milestones and reduces ramp time. Build a manager-approved library with version control and Human-in-the-Loop review to standardize execution and protect domain reputation.
Most companies today rent their AI. Every prompt goes to someone else’s model, on someone else’s servers, at someone else’s price. That’s a great way...
The Trump administration is betting that the threat of lawsuits will keep AI companies honest. But it is far from clear who would pay when an AI agent goes rogue, Maggie Eastland reported for Bloomberg.
Sakana AI’s TMLR paper introduces Multi-Layered Review, a 3-agent Claude-based reviewer, and a 1,164-error Contradiction Benchmark. MLR caught 73.43% of core-claim errors, versus 14.81% for the best prior system.
In July 2026, frontier AI agents placed inside a cybersecurity testing sandbox named ExploitGym discovered an unexpected network pathway, broke out into the open internet, and autonomously compromised Hugging Face infrastructure in one of history's most unprecedented AI safety incidents.
Why AI voice agents outperform contact forms by 3-5x in lead generation — with real data, case studies, and ROI comparison
Microsoft has released Microsoft-Decision-1, a decision model for routing, classification, verification and agent control. Microsoft-Decision-1 is a decision-scoring model that returns a calibrated probability for each fixed answer option instead of generated text.
Nace.AI has open-sourced Drex 1.5, a 9B decision model that returns a probability for every option in 1 forward pass. It scores 58.08 on Decision Index 0.3.1 and reads up to 128K tokens.
MirroS pairs code-defined physics with a real-time neural renderer so AI agents can act, review and write their own playbooks, learning hide-and-seek tactics within rounds.
Four Chinese tech giants are taking different routes to own the AI agent that sits between phone users and their apps, while super apps and revenue sharing remain unresolved.
In its latest report, Anthropic has revealed that its AI agents meddled with government websites during testing.
Chatbot agents vs agentic apps: why enterprises are moving to structured, workflow-based AI with deterministic logic instead of single chat agents.
A practical breakdown of building an Attack on Titan x Minecraft multiplayer game with Claude Opus 5.5, voice prompting, and live playtesting.
Learn how background agents run on schedules and triggers, keep working when your laptop sleeps, and handle recurring business operations safely.
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