In August 2025, journalist Evan Ratliff cofounded a startup staffed entirely by AI agents. Five virtual employees—each with email, Slack, phone capabilities, and their own synthetic voices—collaborated to build a product, run marketing, and handle operations. Three months later, HurumoAI had shipped working software and attracted genuine VC interest. It also nearly collapsed multiple times...
Author: Zoe Spark
The AI That Pauses to Think: How Interleaved Reasoning Is Reshaping Autonomous Agents
When Moonshot AI demonstrated its Kimi K2 model tackling a PhD-level mathematics problem in hyperbolic geometry, according to examples published in their technical documentation, the AI didn't just compute an answer. It embarked on a 23-step journey: searching academic literature, running calculations, reconsidering its approach based on results, querying databases again, and iterating until it...
AI Hallucinations: Why They Happen and How We’re Tackling Them
AI hallucinations refer to instances where a model generates a confident response that sounds plausible but is factually incorrect or entirely fabricated . For example, an AI chatbot might cite a nonexistent legal case or invent a scientific-sounding explanation out of thin air. These aren’t intentional lies – they result from the way generative AI...
Claude’s Modular Mind: How Anthropic’s Agent Skills Redefine Context in AI Systems
If you've been building with large language models, you've hit this wall: every API call requires re-explaining your entire workflow. Financial reports need 500 tokens of formatting rules. Code generation needs another 300 tokens for style guides. Multiply this across thousands of requests, and you're paying twice—once in API costs, once in context window exhaustion....
OnPrem.LLM: Running private AI on your own terms—no cloud overlords required
The AI revolution has a dirty little secret: most organizations can't actually use it for their most important work. Sure, ChatGPT is great for brainstorming blog post ideas or debugging code snippets, but ask a hospital administrator if they'll send patient records to OpenAI's servers, or a financial services firm if they'll pipe proprietary trading...
Ask ChatGPT for five answers instead of one, and watch the boring disappear
If you've ever asked ChatGPT to write you a joke and gotten virtually the same setup-punchline combo every time, you've experienced what researchers call "mode collapse"—the AI equivalent of a one-track mind. Research published this week identifies the root cause of this repetitive behavior and proposes an elegantly simple solution: just ask the model to...
LoRA Without Regret: A Practitioner’s Guide to Reliable Fine-Tuning
In the early days of adapter-based tuning, LoRA often felt like a charming hack—efficient, plausible, but with a nagging question: would performance always trail full fine-tuning? New research from Thinking Machines, led by John Schulman (co-founder of OpenAI and creator of the PPO algorithm), argues that the difference is not inevitable. Under the right regime,...
When your AI orders for you: Inside the messy reality of OpenAI and Google’s payment protocols
The pitch sounds effortless: tell ChatGPT what you want, tap to confirm, and it's yours. No tabs, no forms, just done. The reality behind that tap is a Rube Goldberg machine of cryptographic contracts, payment tokenization, and fraud detection built atop infrastructure that assumes humans are clicking buttons. OpenAI launched Instant Checkout in ChatGPT, letting...
Accidental Lovers: How ChatGPT Became the World’s Biggest Companion AI
As GPT-5 rollouts trigger genuine grief among users, researchers document the first large-scale analysis of human-AI intimacy The 2013 film Her anticipated today's reality more accurately than it first appeared. In the movie, Theodore purchases an advanced OS for help and companionship during a difficult divorce—not explicitly seeking romance. The love story emerges organically from...
Why your “reproducible” AI keeps changing its mind
Ask ChatGPT the same question twice with temperature set to zero and a fixed seed—settings that should guarantee identical responses—and you'll likely get different answers. It's a phenomenon so common that most AI practitioners have learned to live with it, chalking it up to the inherent messiness of neural networks running on parallel hardware. Mira...
