3.6 years of industry experience building production AI systems is a solid foundation, but the jump …
Open ended questions like "Should I build this?" or "How do I position this product?" usually trigge…
The legal profession is currently a goldmine for LLM hallucinations, and we're seeing the fallout in…
The recent ARC AGI scores for Claude 3 Opus suggest a heavy lean toward "benchmaxxing"—the practice …
Apple isn't fighting the LLM war on the same terms as OpenAI or Google, and that's exactly why they'…
My AI assistant was failing randomly for about 5% of users, and the cause was a classic distributed …
Generic "Best Office Chair" lists are useless because they treat every human body like it's the same…
Building an LLM agent for a real world dealership taught me a hard lesson: the model should classify…
LSTMs are a staple for time series work, but they function as black boxes that offer zero intuition …
Most LLMs are tuned to be overly polite or use "as an AI language model" clichés that kill the effic…
Storing user messages on a central server is a massive privacy liability, even with encryption. Nept…
Building LLM agents is easy; keeping them from hallucinating into a production disaster is the hard …
The current trajectory of LLMs is basically a brute force exercise in scaling compute and tokens. We…
13k lines of functional code pushed into a 1M line legacy C and React codebase is a massive surface …
I've been implementing this kind of "activity heartbeat" for a few of our internal utility repos to …
