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You can know a person's device type on Twitter if the post has these parameters

https://twitter.com/youhatefive/status/2115847903696527589
1•thunderbong•2m ago•0 comments

A 72-Hour Engineering Sprint for Translating Thought to Speech

https://neuralink.com/updates/72-hour-voice-hackathon/
1•Exoristos•6m ago•0 comments

FreeBSD-SA-26:52 – Missing WireGuard MAC Validation (CVE-2026-58085)

https://www.mail-archive.com/announce@freebsd.org/msg00286.html
1•offmycloud•7m ago•0 comments

C2PA's eMudhra Moment

https://www.da.vidbuchanan.co.uk/blog/c2pa-four.html
1•swq115•8m ago•0 comments

The reports of Stack Overflow's death are greatly exaggerated

https://stackoverflow.blog/2026/10/29/the-reports-of-stack-overflow-s-death-are-greatly-exaggerated/
1•cher-nov•12m ago•0 comments

Show HN: DistractFree-Chrome extension and web app to stop doomscrolling

https://distractfree.site/
1•ramthokane•20m ago•0 comments

Any HN folks with undiagnosed diseases?

1•Madmallard•26m ago•1 comments

Show HN: Breatic – Collaborative canvases and documents with an AI agent

https://github.com/orime-org/breatic
1•Ubiquition•28m ago•0 comments

Torturing Jev

https://www.jonathanchiang.ca/blog/jev.html
2•szge•30m ago•0 comments

Chez Scheme from a Clojurian Perspective

https://get-aksh.com/blog/chez-from-a-clojurian-perspective
2•pushpankar•31m ago•0 comments

Dvorak with QWERTY's Brackets on KDE Plasma (Wayland)

https://blog.jacq.cc/guides/dvorak-qwerty-brackets-kde-wayland/
1•xx__yy•34m ago•0 comments

Nibnib: Image compression with extreme decompression speed

https://github.com/raphlinus/nibnib
1•raphlinus•35m ago•0 comments

Software Engineers in 2028

https://www.youtube.com/watch?v=uYG1TAzexdo
2•somerandomness•36m ago•0 comments

Deterministic Factoring in Time N^O(1)

https://hexagonmath.org/2610.00600v1
2•one-punch•40m ago•0 comments

Key oddity of quantum physics may run even deeper than anticipated

https://www.newscientist.com/article/2596105-key-oddity-of-quantum-physics-may-run-even-deeper-th...
2•the-mitr•42m ago•0 comments

Jules Turndown

https://jules.google/docs/changelog/#jules-turndown
1•triyambakam•43m ago•0 comments

Same agent-memory accuracy with 8x fewer tokens by changing the embedding model

https://github.com/goyohan0611-png/turnbook
1•guk0731•45m ago•0 comments

Pidgin 3.0.0 Alpha 4 (2.98.0) has been released

https://discourse.imfreedom.org/t/pidgin-3-0-alpha-4-2-98-0-has-been-released/445
2•rw_grim•54m ago•0 comments

Average Stakeholder Meeting [video]

https://www.youtube.com/watch?v=dNiqd9f3TQY
1•vismit2000•55m ago•0 comments

Understanding Proxy Servers: A Practical View for Web Developers

https://hideproxy.io/
1•MeadowMayer•1h ago•0 comments

Fu (Tally)

https://en.wikipedia.org/wiki/Fu_(tally)
1•sweetdingoes•1h ago•0 comments

Show HN: HiPath AI – CS learning roadmaps where a quiz unlocks each lesson

https://www.hipathai.me
1•hirdendra•1h ago•0 comments

Show HN: DockShift – In-Browser Docker Run, Compose, and K8s Converter

https://dockshift.org/
1•silas0521•1h ago•0 comments

An Update on the Future of Nappy

https://nappy.co/future
3•AlexAplin•1h ago•0 comments

A Defense Contractor Gave Their AI Agent Access to a Secure Pentagon System

https://www.wired.com/story/a-defense-contractor-gave-their-personal-ai-agent-access-to-a-secure-...
2•ryan_j_naughton•1h ago•0 comments

Elephant-Goldfish Model

https://egm.dev/
1•nikolay•1h ago•0 comments

Rhind Mathematical Papyrus

https://en.wikipedia.org/wiki/Rhind_Mathematical_Papyrus
1•sweetdingoes•1h ago•0 comments

AI killed my software career [video]

https://www.youtube.com/watch?v=cwsy-6gu5p4
4•jackbravo•1h ago•0 comments

Building oversight tools into a model's weights

https://divagr.com/blog/building-oversight-tools-into-a-models-weights
2•andromaton•1h ago•0 comments

PebbleOS Linux Port (for Android smartwatches)

https://github.com/brosiog/pebbleos-linux
2•cosmogramma•1h ago•0 comments
Open in hackernews

Ask HN: How do you send large sets of data to an LLM

2•obayesshelton•1y ago
So, I am hitting limits with the amount of data I am sending to Claude via the API.

I am trying to send about 5000 comments but I would love to send more but I am hitting limits of the message size.

What are some good design patterns when sending large sets of data to an LLM?

I ideally need to send all the data together at it gives context to the overall prompt.

Comments

curious_curios•1y ago
Some approaches we’ve used:

- Group the comments by theme, then pass groups to the LLM to summarize/deduplicate then pass the outputs of that as context.

- RAG where only relevant parts are included in the context.

- Use an LLM with a larger context window (like Gemini pro)

obayesshelton•1y ago
Yeah, I think I need to use Gemini

Question, how if possible could you query rows in a table?

Surely the better approach would be to have some sort of connection to table rows?