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tomveber

4 karma · joined October 29, 2024

Tom Veber. I build software products, mostly around LLMs.

Three at the moment. ewpire (https://ewpire.com) runs a task through several frontier models and reports where they disagree, instead of returning one model's output as if it were settled. DUXplay is a mobile game studio. LEMANS LABS turns public information into structured reports.

ewpire started as a marketplace of nine AI agents. After three pivots the only part that had held up was the multi-model checking, so I rebuilt around it.

Stack: Node/ESM, Postgres, model calls to the provider APIs and to OpenRouter, no agent framework in the consensus path.

Happy to be told I am wrong about any of it.

submissionscomments
tomveber··on Show HN: AI search for every photo and every frame of video on macOS
How do you pick which video frames to index, fixed interval or scene changes? Curious what an hour of footage costs in disk and indexing time.
tomveber··on Ask HN: Do you think AI agents can escape human control?
Prompt injection is the only one of your three I'd call routine already. Has anyone here actually seen the optimization-loop case outside a benchmark or a red-team setup?
tomveber··on Prompting Claude Opus 5.5
Did the automated code reviews catch anything real over those 33 hours, or was it mostly style nits?
tomveber··on Show HN: Ceptile AI Search platform which combines web results with AI chat
How do you rank the retrieved pages before the answer is written? Your own ranker, or mostly the order the search API hands back?
tomveber··on Prompting Is Dead in 6 Months. Andrew Ng, Stanford [video]
Did that LinkedIn account cut the 15 minutes itself, or repost someone else's cut? Depends which one you are looking at, sloppy framing or a hook someone built on purpose.
tomveber··on ByteX: A Unified AI Search Engine at ByteDance
The number I would want unpacked is the 80% indexing-memory cut.
tomveber··on Ask HN: Model sycophancy benchmarks?
Closest I know of are SycEval and the sycophancy evals in Anthropic's 2023 paper, both built on a user pushing back at a correct answer.
tomveber··on Aphantasia Beginner's Guide
The self-report objection has been tested, though. Aphantasics show no imagery priming in binocular rivalry, no pupil constriction when asked to imagine bright shapes, and flat skin conductance to frightening text while responding normally to frightening pictures. A questionnaire that predicts autonomic responses nobody can fake is doing more than semantics.
tomveber··on There's no reason for software to be slow anymore
The checklist half automates cleanly, you can lint that every route calls authorize. It won't catch authorize being handed the wrong policy, which is the one that ships. And when I put a second model on review duty, the common failure is it agreeing with the first model's misreading of the spec, almost word for word. So I'd expect the forgetting class of bugs to mostly go away and the misread-the-spec class to sit exactly where it is.
tomveber··on Show HN: Anonymous age verification with passkey-powered encryption
[flagged]
tomveber··on Someone is running mass vulnerability scans, spoofing AI bots like ClaudeBot
Worth saying out loud: user-agent is not identity. Verify AI crawlers by reverse DNS or the provider's published IP ranges - the ones worth letting in all publish them.
tomveber··on What I learned by putting GitHub Copilot behind a MitM proxy
We stopped trying to keep the key away from the model and made it cheap instead: per-run, spend-capped, deleted at teardown. Assume it reads the file.
tomveber··on Show HN: Aileaks – scan repos for leaked LLM reasoning-trace secrets
The leaks I've had weren't in the tree — they were in test fixtures and in a DB column holding a whole run's transcript. Any chance of a stdin/JSONL mode?