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The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
1•gozzoo•2m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•2m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
1•tosh•3m ago•0 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•4m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•9m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•11m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•14m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•15m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•16m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•17m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•17m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•18m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•18m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•21m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•25m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•25m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•30m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•31m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•32m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•35m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•37m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•38m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•38m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•38m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•40m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•41m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•44m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•46m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•46m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•47m ago•1 comments
Open in hackernews

Real-time CO2 monitoring without batteries or external power

https://news.kaist.ac.kr/newsen/html/news/?mode=V&mng_no=47450
132•gnabgib•7mo ago

Comments

noisy_boy•7mo ago
Tangential/Spoiler: I came to know about Kaist (Korea Advanced Institute of Science & Technology) in the Netflix series Devil's Plan (season 2) which had two of its students as the top three contestants.
nikolayasdf123•7mo ago
anyone can explain why this is such a big breakthrough?

vibration powered electricity generator is not new, neither is CO2 monitoring. so what's the big deal?

dfex•7mo ago
More concerning - can anyone explain why there is such a variation in the results from the DC powered unit vs. the TENG-powered one? The graph at the bottom of the report shows a difference of 30-50ppm between both units when they are sitting side by side on the bench.
zipping1549•7mo ago
I skimmed the original article and it only mentions the graph and says that it's "comparable to DC powered unit". I'm guessing < 100ppm difference is somewhat acceptable?
dfex•7mo ago
You might be right - it's just odd that it's always showing "more" rather than similar amounts.

Also, according to Claude[1] a 50ppm difference is equivalent to around 25 years current atmospheric carbon increase.

* Pre-industrial (1700s): ~280 ppm

* 1958 (when systematic measurements began): ~315 ppm

* 2000: ~370 ppm

* 2015: ~400 ppm (milestone crossed)

* Current: ~420-425 ppm

[1] "What is the normal range for background CO2 concentrations in the air?"

strogonoff•7mo ago
It’s crazy to think that many people alive today experienced a 30% increase in ambient atmospheric carbon dioxide concentration within their lifetimes.
devmor•7mo ago
You’re missing some deeply important context there, which is that those measurements are for outdoor atmospheric CO2 only.

Average indoor air quality ranges from 400-1000 ppm CO2, with adverse mental effects starting to appear close to 2000 ppm.

In that context, you can see why a 50 ppm difference is marginal. This is why asking an LLM is not generally a great idea for understanding something - you need to follow it up with more research.

jobs_throwaway•7mo ago
> adverse mental effects starting to appear close to 2000 ppm.

cognition is harmed starting at 1000ppm (https://pmc.ncbi.nlm.nih.gov/articles/PMC3548274/)

devmor•7mo ago
I'm having a hard time parsing the data in this paper - is it showing that task focus increases at 1000ppm compared to 600ppm CO2 exposure?
freeone3000•7mo ago
Not odd at all that it’s always showing more — sensor error is often biased. This is within the listed range though.
officeplant•7mo ago
I have to know, what's the the rise of people like you chiming in with AI sourced tidbits? It's like the people with no knowledge on a subject that use google as a quick catch up tool so they can participate in a conversation, but somehow even worse. Are they the same people, but now lazier or just true believers in the non-sense engines?
callmemclovin•7mo ago
That's in the normal range of accuracy of modern CO2 sensors, for example SCD40 from Sensirion is described with an accuracy of ±50.0 ppm ±5.0 %m.v.
jtrueb•7mo ago
That’s if the voltage supply was stable and within electrical specs for a sufficient period of time. We can see this is a snippet 2 hours into the discontinous collection.

3.6V is the maximum value that the nrf52832 SoC can handle. I would suspect the VDD is variable.

ahaucnx•7mo ago
Actually the real accuracy is much better, especially with optical NDIR sensors.

We do a lot of testing against reference grade sensors and typically see very good performance and reproducibility [1].

[1] https://www.airgradient.com/blog/performance-of-low-cost-co2...

nashashmi•7mo ago
A low powered co2 monitor is likely a big deal. And one that fits to specific power generation systems is even a bigger deal.
ChemSpider•7mo ago
The challenge with CO2 monitoring is the sensor, not the electronics. Sensor accurracy and service life are key information.

It is easy to create a low power chemical CO2 sensors with a service life of a few weeks/months. Obviously not pratical for real world applications. So critical data is missing in this press release.

nradov•7mo ago
Replacing sensors every few weeks is totally practical for some real-world applications such as life support systems.
mschuster91•7mo ago
The power consumption is the thing, these sensors usually run in the low-digit milliwatt range... and they managed to get it to run on a power generation of 0.5 mW, making the combination of both possible at all.
Gravityloss•7mo ago
I was thinking would there be a passive chemical alternative, something that changed color according to CO2 level. Kind of: https://en.wikipedia.org/wiki/Bicarbonate_indicator
mschuster91•7mo ago
These generally - as the article indicates - have the issue that they aren't just sensitive to CO2 but virtually anything else.

You could maybe get by with some sort of antibody coagulation stuff like in many rapid test strips, but these are to my knowledge not reversible.

supportengineer•7mo ago
I was hoping it would be a mechanical system that uses no electricity at all
tempodox•7mo ago
> The core of this new system is an "Inertia-driven Triboelectric Nanogenerator (TENG)" that converts vibrations (with amplitudes ranging from 20-4000 ㎛ and frequencies from 0-300 Hz) generated by industrial equipment or pipelines into electricity. This enables periodic CO2 concentration measurements and wireless transmission without the need for batteries.

Ingenious, I love it.