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Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
1•ShinyaKoyano•3m ago•0 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
1•m00dy•5m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•5m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
1•okaywriting•12m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
1•todsacerdoti•15m ago•0 comments

Show HN: Gorse 0.5 – Open-source recommender system with visual workflow editor

https://github.com/gorse-io/gorse
1•zhenghaoz•15m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•16m ago•0 comments

Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU

https://github.com/MikeVeerman/tool-calling-benchmark
1•MikeVeerman•17m ago•0 comments

Show HN: AboutMyProject – A public log for developer proof-of-work

https://aboutmyproject.com/
1•Raiplus•18m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•18m ago•0 comments

So Long to Cheap Books You Could Fit in Your Pocket

https://www.nytimes.com/2026/02/06/books/mass-market-paperback-books.html
3•pseudolus•18m ago•1 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•23m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
2•bkls•23m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•24m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
4•roknovosel•24m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•32m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•33m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•35m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•35m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
2•surprisetalk•35m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
5•pseudolus•36m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•36m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•37m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
2•1vuio0pswjnm7•37m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
3•obscurette•38m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
2•jackhalford•39m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•39m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
2•tangjiehao•42m ago•0 comments

Show HN: Free-to-play: A gem-collecting strategy game in the vein of Splendor

https://caratria.com/
1•jonrosner•43m ago•1 comments

My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•43m ago•0 comments
Open in hackernews

Ask HN: Anyone working in traditional ML/stats research instead of LLMs?

21•itsmekali321•8mo ago
I am curious about those who are working in the machine learning or statistics domain but are focusing on traditional ML research rather than large language models (LLMs).

What specific areas or projects are you currently working on?

Thank You!

Comments

helltone•8mo ago
I'm building a tool to make ml on tabular data (forecasting, imputation, etc) easier and more accessible. The goal is to go from zero to a basic working model in minutes, even if the initial model is not perfect, and then iteratively improve the model step by step, while continuously evaluating each step with metrics and comparisons to the previous model. So it's less ml foundation research, and more trying to package it in a user friendly way with a nice workflow, but if that's interesting feel free to reach out (email in profile).
epaprat•8mo ago
There’s still a lot of active research in traditional ML areas that LLMs haven’t solved. Causal inference, robustness to distribution shifts, and adversarial resilience remain open challenges. Continual and online learning, where models adapt without forgetting, are crucial for real-world deployment. Multi-modal learning beyond text, especially fusing vision, time series, and structured data, is another tough frontier. Interpretability, especially in high-stakes domains, still requires far more than attention maps. LLMs are impressive, but they haven’t made most of classical ML research obsolete.
usgroup•8mo ago
Statistical modelling is largely unrelated to machine learning in its ideology. If you're a professional Statistician then you're most likely working as part of some function heavily utilising randomised experiment design, or less frequently, observational designs. This would include hard sciences, actuarial sciences, finance (risk), manufacturing, poll/census research.

The main commercial opensource language for serious Statisticians is R. You can Google for the sorts of jobs requiring R as a marker, if you're interested in applications of Statistics unrelated to LLMs.

To answer your own question about classical ML, you can Google for jobs requiring the specific classical ML technologies in which you are interested as a marker.

jononor•8mo ago
I work on machine learning applied to sensor data, for understanding physical phenomena. Both time-series models etc for condition monitoring of technical machinery (specifically HVAC in buildings) at https://soundsensing.no And also running ML inference directly on microcontroller-based sensors, via the open-source project emlearn - https://github.com/emlearn/emlearn
itsmekali321•8mo ago
This is such a cool project!
mmarian•8mo ago
Check out quant trading.
wannabebarista•8mo ago
I work on differentially private query answering and synthetic data generation for tabular data. This is an active area with some cool advances in the last few years.

Here's a nice summary of some of these ideas: https://differentialprivacy.org/synth-data-1/.

izyda•8mo ago
I work on alternative data in the hedge fund industry. We're not quants -- we don't try to predict the stock market... instead, we try to forecast how individual companies are performing using aggregated clickstream, point-of-sale, and payments data. It's a data cleaning, timeseries, and modeling problem with a lot of domain knowledge necessary.

LLMs can be helpful (Ie. for example, entity resolution for data cleaning) but the core models you have to use to actually make the predictions (this looks a lot more like "old" tabular data approaches).

itsmekali321•8mo ago
If i may ask, who are your clients? The investors or the companies themselves?

This seems like a fun(i mean enjoyable) domain.

Also, again, if i may ask, what is your field of study? Is it related to finance or statistics?

fermisea•8mo ago
Yes, (ergodic.ai) working on causal inference applied to process mining and event logs. Basically: something happened, why did it happen and how can I avoid it/get more of it?
MRiabov•8mo ago
I'm trying to create an AI that would be able to repair some subset of physical machinery... It's like code but 3d and with things breaking.