@0xxmemo · X

carsonpoole · HN

Determinstic LLM inference for lowest price Gemma 4, with Windows XP

taylorgt · HN

Find every AI model your code calls and warn before it's retired

@Kelvinwz5lma · X

An movie platform

fristovic · HN

She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol

u/Puzzleheaded-Log-27 · Reddit

Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree

george_avila · Product Hunt

IQ Routing Trajectory-aware LLM routing that cuts agent cost

@melonrice383235 · X

u/ASDKING100 · Reddit

Launched an AI API router tonight, and found a bug hours in that would've taken real payments without ever upgrading the account Built LLMLite over the past few weeks — it classifies each prompt and routes it to the cheapest model that can actually handle it, instead of hitting GPT-4o for everything. Free tier, no card needed to try it. Tonight, right as I was about to launch, ran a real transaction to test the payment flow end to end. Paddle processed it, webhook fired, signature verified

ATsimbalistov · HN

Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

u/Wooden-Skirt-7882 · Reddit

LLM ARENA LLM Arena, a multi-model comparison app with live per-call cost tracking and a public leaderboard (Next.js 16 + OpenRouter) https://llm-arena-five.vercel.app submitted by /u/Wooden-Skirt-7882 to r/SideProject [link] [comments]

u/Live_Confusion_3003 · Reddit

I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.