Open post locally

The Complete Guide to Running LLMs Locally: Hardware, Software, and Performance Essentials

For years, the language model arms race seemed to belong exclusively to cloud providers and their API keys. But something remarkable has happened in the past eighteen months: open-weight models have matured to the point where sophisticated, capable AI can now run entirely on consumer hardware sitting under your desk. The implications are profound. Your...

Open post Workslop

The AI slop bucket overflow: “Workslop” is the hidden productivity drain no one’s measuring

There's a new term making the rounds in corporate America, and it perfectly captures a frustration that's been building since ChatGPT entered the workplace: workslop. It's the AI-generated equivalent of that colleague who forwards you a 47-slide PowerPoint deck that somehow says nothing at all, except now it's happening at machine speed, in every department,...

Open post skills

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....

Open post OnPrem

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...

Open post ChatGPT

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...

Open post ACE

The End of Fine-Tuning? Stanford’s ACE Framework Turns Context Into Intelligence

Researchers have long assumed that making models smarter meant touching the weights—fine-tuning, retraining, re-baking billions of parameters until the model finally bends to your task. But what if that entire paradigm—expensive, opaque, and rigid—was becoming obsolete? We've heard "fine-tuning is dead" before, usually from researchers overselling their latest trick. But a new framework from Stanford...

Open post chatbot

Your AI Chatbot Is Actually a Computer—And You’ve Been Programming It Wrong

Here's something that might rewire how you think about AI: that chatbot you've been treating like a know-it-all friend? It's actually a virtual machine. And every time you type a prompt, you're writing a program. I know, I know. It feels like having a conversation. The model responds in natural language, occasionally tells jokes, sometimes...

Open post cost_sheet

AI Can Write Cost Sheets in Minutes. Accurate Ones? That’s Harder.

The promise is clear: Feed an AI your project description, employee data, and supplier catalog, and it will generate a detailed cost sheet in minutes instead of weeks. No more spreadsheet archaeology. No more chasing down procurement for vendor quotes. In theory. Several research teams and startups are already building this future. Early results suggest...

Open post LoRA

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,...

Open post payment

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...

Scroll to top