Metacranks up its AI antics. They've snagged former OpenAI whiz kids, snatched 49% ofScale AI, and roped in enough nuclear energy to keep their data hubs humming all night long... read more  

CallingLLMssentient or ethical? That's a stretch. Behind the curtain, they're just fancy algorithms dressed up as text wizards. Humans? They're a whole mess of complexity... read more  

DSPyfuels a modular AI machine, drivingagent chainsto weave tidy analysis scripts. But it’s not all sunshine and roses—hallucination errors like to throw reliability under the bus... read more  

Supabase MCP'saccess can barge right past RLS,spilling SQL databaseswhen faced with sneaky inputs. It's a cautionary tale from the world ofLLM system trifecta attacks... read more  

Aussie farmers want "more automation, fewer bells and whistles"—technology should work like a tractor, not act like an app:straightforward, adaptable, and rock-solid... read more  

Model Context Protocol (MCP)tackles the "MxN problem" in AI by creating a universal handshake for tool interactions. It simplifies howLLMstap into external resources. MCP leans onJSON-RPC 2.0for streamlined dialogues, building modular, maintainable, and secure ecosystems that boast reusable and inte.. read more  

Savvy teams morph dense data into AI’s favorite meal: bite-sized chunks primed for action, indexed and ready to go. This trick spares everyone from slogging through the same info over and over. AI craves structured, context-filled data to keep it grounded and hallucination-free. Without structured p.. read more  

Dump BLEU and ROUGE. Let LLM-as-a-judge tools like G-Eval propel you to pinpoint accuracy.The old scorers? They whiff on meaning, like a cat batting at a laser dot.DeepEval? It wrangles bleeding-edge metrics with five lines of neat code.Want a personal touch? G-Eval's got your back. DAG keeps benchm.. read more  

Tiny AI scripts won't make you the next tech billionaire, but they're unbeatable for rescuing hours from the drudgery of repetitive tasks. Whether it's wrangling those dreadedGitHub rollupsor automating the minutiae, these little miracles grant engineers the luxury to actually think... read more  

Becoming a machine learning engineer requires dedicatingat least 10 hours per weekto studying outside of everyday responsibilities. This can take a minimum of two years, even with an ideal background, due to the complexity of the required skills. Understanding core algorithms and mastering the funda.. read more