# Software Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/software
> Markdown URL: https://aitinkerers.org/technologies/software.md
> Technology record last updated: 2026-05-05T13:27:31Z
> Generated: 2026-09-22T08:35:31Z

Software is the coded instruction set: the non-physical programs, procedures, and routines that direct computer hardware (like a CPU or GPU) to execute specific tasks.

This technology is the core operational layer of all digital systems. Software fundamentally splits into two categories: system software (like Microsoft Windows, macOS, or Linux) manages the hardware and provides a platform; application software (e.g., Adobe Photoshop, SAP ERP, or a mobile banking app) performs direct user-facing tasks. The global software market is a trillion-dollar industry, driving everything from complex financial modeling and AI development to the simple daily functions on your smartphone. We leverage specific, compiled code—written in languages like Python or Java—to transform inert silicon into a functional, problem-solving machine.

- Official technology site: https://www.britannica.com/technology/software
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Information Crumbs to Nuggets: Incorporating Humans into LLM-Judges](https://manchester-nh.aitinkerers.org/talks/rsvp_qB5PHlwmBIQ)

We built a prototype of a human-AI workflow for curating the evaluation nuggets that nugget-based LLM judges depend on. The core problem is that incorporating humans into LLM-judge evaluation is usually all-or-nothing, either fully manual or fully automatic, when the reliable answer sits somewhere in between. Single-prompt LLM judges are vulnerable to circularity, where the judge rubber-stamps a system that shares its own blind spots. Nugget judges defend against this, but only if the evaluation artifacts are genuinely human, not LLM proposals that a human merely vets. The catch: authoring nuggets by hand is tedious, and showing the annotator an LLM's proposed nuggets primes and anchors them, which quietly erodes the accountability you were trying to protect. So the prototype inverts the usual flow. Instead of a human phrasing nuggets directly (today's standard) or signing off on LLM-proposed ones, the human acts first and leaves "information crumbs" on the raw data: span highlights of what matters, free-form notes on what is missing, and good-versus-bad judgments. The LLM then converts those crumbs into a canonically phrased nugget. A feedback loop applies that nugget back over a sample of the data and shows the human the impact of the formulation, so they can step in and correct it. The human owns the substance and the judgment, where the work is intellectually demanding; the LLM handles the phrasing and the boring matching, so the annotator is enabled rather than buried in sludge. Live, I will walk through the loop in the prototype: a human highlighting and annotating raw answers, the LLM turning those annotations into nuggets, the nuggets being applied back over a sample, and the human correcting based on the observed impact. I will show the interface, the workflow, and the a trace of what the human contributed from what the model generated.

- Event context: AI Tinkerers Manchester (Bedford), NH - June 2026 Meetup — 2026-06-17 — Manchester NH
- Public talk page: https://manchester-nh.aitinkerers.org/talks/rsvp_qB5PHlwmBIQ

### [AI to redefine surgery](https://nyc.aitinkerers.org/talks/rsvp_WJWUC5ydMz8)

We are developing AI to track, analyze and improve surgery to prevent a billion surgical complications over the next 10 years.

- Event context: Omakase Founder Dinner | NY #TechWeek — 2024-06-04 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_WJWUC5ydMz8

## Related Technologies

- [3D printing](https://aitinkerers.org/technologies/3d-printing) ([Markdown](https://aitinkerers.org/technologies/3d-printing.md)) — 3 public demos
- [auto-judge-annotate](https://aitinkerers.org/technologies/auto-judge-annotate) ([Markdown](https://aitinkerers.org/technologies/auto-judge-annotate.md)) — 1 public demo
- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [builds](https://aitinkerers.org/technologies/builds) ([Markdown](https://aitinkerers.org/technologies/builds.md)) — 1 public demo
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [gpt-oss-120b](https://aitinkerers.org/technologies/gpt-oss-120b) ([Markdown](https://aitinkerers.org/technologies/gpt-oss-120b.md)) — 2 public demos
- [Keras](https://aitinkerers.org/technologies/keras) ([Markdown](https://aitinkerers.org/technologies/keras.md)) — 74 public demos
- [LLM-Judge](https://aitinkerers.org/technologies/llm-judge) ([Markdown](https://aitinkerers.org/technologies/llm-judge.md)) — 1 public demo
- [ONNX](https://aitinkerers.org/technologies/onnx) ([Markdown](https://aitinkerers.org/technologies/onnx.md)) — 83 public demos
- [Open AI](https://aitinkerers.org/technologies/open-ai) ([Markdown](https://aitinkerers.org/technologies/open-ai.md)) — 1 public demo
- [OpenAI API compatible LLM endpoints](https://aitinkerers.org/technologies/openai-api-compatible-llm-endpoints) ([Markdown](https://aitinkerers.org/technologies/openai-api-compatible-llm-endpoints.md)) — 1 public demo
- [PyTorch](https://aitinkerers.org/technologies/pytorch) ([Markdown](https://aitinkerers.org/technologies/pytorch.md)) — 273 public demos
- [scikit-learn](https://aitinkerers.org/technologies/scikit-learn) ([Markdown](https://aitinkerers.org/technologies/scikit-learn.md)) — 84 public demos
- [Surgical Metaverse](https://aitinkerers.org/technologies/surgical-metaverse) ([Markdown](https://aitinkerers.org/technologies/surgical-metaverse.md)) — 1 public demo
- [TensorFlow](https://aitinkerers.org/technologies/tensorflow) ([Markdown](https://aitinkerers.org/technologies/tensorflow.md)) — 90 public demos
- [TREC Auto-Judge](https://aitinkerers.org/technologies/trec-auto-judge) ([Markdown](https://aitinkerers.org/technologies/trec-auto-judge.md)) — 1 public demo
- [URL](https://aitinkerers.org/technologies/url) ([Markdown](https://aitinkerers.org/technologies/url.md)) — 2 public demos