Infinity
Unlimited CPA Exam Supplement. Never the same question.
What it does
Most CPA prep tools recycle the same question bank. After a few rounds, you're remembering answers — not learning concepts. That's a dangerous habit to bring into the exam room. Infinity is different. Infinity provides Unlimited First-Sight CPA Practice! across all 6 CPA exam sections. You will never see the same question twice as long as you hope. Built as a supplement to Becker or UWorld — not a replacement. Just unlimited reps on questions you've never seen before. First 1 week Free!
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Open AccountantsApr 2026 · openaccountants.com · ▲9The tax computation chain your LLM needs, verified by CPAs
- TPThe problem with the epsilon greedy method2014 · github.com · ▲22
I decided I wanted to roll my own AB testing app for Django (https://github.com/crobertsbmw/RobertsAB) when I was finished, I came across this: http://stevehanov.ca/blog/index.php?id=132 Which is a very convincing article on why AB testing sucks and with a few extra lines, you can improve your algorithm to select the best test so you never go back and update your code (yeah right.) I then thought, how many tests does this thing have to run to truly figure out which is best? I made 4 tests with probability of success equalling 1/2, 1/4,…
Mindset PrepJun 2026 · mindsetprep.com.au · ▲4Adaptive practice questions for ISO 27001 + 42001 exams
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com