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America vs. Singapore: You Can't Save Your Way Out of Economic Shocks

https://www.governance.fyi/p/america-vs-singapore-you-cant-save
85•guardianbob•1h ago•67 comments

Gemini 3.1

https://deepmind.google/models/model-cards/gemini-3-1-pro/
99•PunchTornado•33m ago•22 comments

Pebble Production: February Update

https://repebble.com/blog/february-pebble-production-and-software-updates
154•smig0•4h ago•58 comments

Dinosaur Food: 100M year old foods we still eat today

https://borischerny.com/food/2022/01/17/Dinosaur-food.html
21•simonebrunozzi•1h ago•12 comments

Paged Out Issue #8 [pdf]

https://pagedout.institute/download/PagedOut_008.pdf
132•SteveHawk27•4h ago•29 comments

AI made coding more enjoyable

https://weberdominik.com/blog/ai-coding-enjoyable/
10•domysee•27m ago•12 comments

Don't Trust the Salt: AI Summarization, Multilingual Safety, and LLM Guardrails

https://royapakzad.substack.com/p/multilingual-llm-evaluation-to-guardrails
138•benbreen•2d ago•52 comments

Show HN: Micasa – track your house from the terminal

https://micasa.dev
15•cpcloud•53m ago•7 comments

-fbounds-safety: Enforcing bounds safety for C

https://clang.llvm.org/docs/BoundsSafety.html
66•thefilmore•3d ago•45 comments

Bridging Elixir and Python with Oban

https://oban.pro/articles/bridging-with-oban
76•sorentwo•5h ago•32 comments

Coding Tricks Used in the C64 Game Seawolves

https://kodiak64.co.uk/blog/seawolves-technical-tricks
52•atan2•4h ago•4 comments

Show HN: A physically-based GPU ray tracer written in Julia

https://makie.org/website/blogposts/raytracing/
90•simondanisch•5h ago•32 comments

Gemini 3.1 Pro Preview

https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/gemini-3.1-pro-preview?...
68•MallocVoidstar•1h ago•37 comments

Large Language Models for Mortals: A Practical Guide for Analysts with Python

https://crimede-coder.com/blogposts/2026/LLMsForMortals
26•apwheele•4d ago•4 comments

Why Do the Police Exist? (2020)

https://novaramedia.com/2020/06/20/why-does-the-police-exist/
5•robtherobber•26m ago•1 comments

Sizing chaos

https://pudding.cool/2026/02/womens-sizing/
736•zdw•19h ago•383 comments

Against Theory-Motivated Experimentation

https://journals.sagepub.com/doi/10.1177/26339137261421577
15•paraschopra•2h ago•9 comments

Show HN: Mini-Diarium - An encrypted, local, cross-platform journaling app

https://github.com/fjrevoredo/mini-diarium
75•holyknight•4h ago•42 comments

The Mongol Khans of Medieval France

https://www.historytoday.com/archive/feature/mongol-khans-medieval-france
74•Thevet•2d ago•25 comments

Measuring AI agent autonomy in practice

https://www.anthropic.com/research/measuring-agent-autonomy
15•jbredeche•2h ago•5 comments

Zero downtime migrations at Petabyte scale

https://planetscale.com/blog/zero-downtime-migrations-at-petabyte-scale
15•Ozzie_osman•2d ago•2 comments

Famous Signatures Through History

https://signatory.app/#famous-signatures
22•elliotbnvl•2h ago•26 comments

27-year-old Apple iBooks can connect to Wi-Fi and download official updates

https://old.reddit.com/r/MacOS/comments/1r8900z/macos_which_officially_supports_27_year_old/
415•surprisetalk•19h ago•233 comments

Voith Schneider Propeller

https://en.wikipedia.org/wiki/Voith_Schneider_Propeller
65•Luc•3d ago•16 comments

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

https://nicolasdickenmann.com/blog/the-great-fp64-divide.html
168•fp64enjoyer•15h ago•60 comments

AI found 12 of 12 OpenSSL zero-days

https://www.lesswrong.com/posts/7aJwgbMEiKq5egQbd/ai-found-12-of-12-openssl-zero-days-while-curl-...
6•AndrewDucker•26m ago•1 comments

Old School Visual Effects: The Cloud Tank (2010)

http://singlemindedmovieblog.blogspot.com/2010/04/old-school-effects-cloud-tank.html
66•exvi•10h ago•10 comments

ShannonMax: A Library to Optimize Emacs Keybindings with Information Theory

https://github.com/sstraust/shannonmax
34•sammy0910•5h ago•5 comments

Cosmologically Unique IDs

https://jasonfantl.com/posts/Universal-Unique-IDs/
442•jfantl•22h ago•140 comments

Step 3.5 Flash – Open-source foundation model, supports deep reasoning at speed

https://static.stepfun.com/blog/step-3.5-flash/
166•kristianp•14h ago•69 comments
Open in hackernews

Large Language Models for Mortals: A Practical Guide for Analysts with Python

https://crimede-coder.com/blogposts/2026/LLMsForMortals
26•apwheele•4d ago

Comments

Schlagbohrer•1h ago
thought it said Large Lagrange Models
cranberryturkey•39m ago
Biggest gap I see in most "LLM for practitioners" guides is they skip the evaluation piece. Getting a prompt working on 5 examples is easy — knowing if it actually generalizes across your domain is the hard part. Especially for analysts who are used to statistical rigor, the vibes-based evaluation most LLM tutorials teach feels deeply unsatisfying.

Does this guide cover systematic eval at all?

apwheele•30m ago
Totally agree it is critical. Each of chapters 4/5/6 have specific sections demonstrating testing. For structured outputs it goes through an example ground truth and calculating accuracy, demoing an example comparing Haiku 3 vs 4.5.

For Chapter 5 on RAG, it goes through precision/recall (with emphasis typically on recall for RAG systems).

For Chapter 6, I show a demo of LLM as a judge (using structured outputs to have specific errors it looks for) to evaluate a more fuzzy objective (writing a report based on table output).

clemailacct1•16m ago
I’m always curious why local models aren’t being pushed more for certain types of data the person is handling. Data leakage to a 3rd party LLM is top on my list of concerns.