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Smart Homes Are Terrible

https://www.theatlantic.com/ideas/2026/02/smart-homes-technology/685867/
1•tusslewake•55s ago•0 comments

What I haven't figured out

https://macwright.com/2026/01/29/what-i-havent-figured-out
1•stevekrouse•1m ago•0 comments

KPMG pressed its auditor to pass on AI cost savings

https://www.irishtimes.com/business/2026/02/06/kpmg-pressed-its-auditor-to-pass-on-ai-cost-savings/
1•cainxinth•1m ago•0 comments

Open-source Claude skill that optimizes Hinge profiles. Pretty well.

https://twitter.com/b1rdmania/status/2020155122181869666
1•birdmania•1m ago•1 comments

First Proof

https://arxiv.org/abs/2602.05192
2•samasblack•4m ago•1 comments

I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS

https://mohammedeabdelaziz.github.io/articles/trendscope-market-scanner
1•mohammede•5m ago•0 comments

Kagi Translate

https://translate.kagi.com
1•microflash•5m ago•0 comments

Building Interactive C/C++ workflows in Jupyter through Clang-REPL [video]

https://fosdem.org/2026/schedule/event/QX3RPH-building_interactive_cc_workflows_in_jupyter_throug...
1•stabbles•7m ago•0 comments

Tactical tornado is the new default

https://olano.dev/blog/tactical-tornado/
1•facundo_olano•8m ago•0 comments

Full-Circle Test-Driven Firmware Development with OpenClaw

https://blog.adafruit.com/2026/02/07/full-circle-test-driven-firmware-development-with-openclaw/
1•ptorrone•9m ago•0 comments

Automating Myself Out of My Job – Part 2

https://blog.dsa.club/automation-series/automating-myself-out-of-my-job-part-2/
1•funnyfoobar•9m ago•0 comments

Google staff call for firm to cut ties with ICE

https://www.bbc.com/news/articles/cvgjg98vmzjo
22•tartoran•9m ago•1 comments

Dependency Resolution Methods

https://nesbitt.io/2026/02/06/dependency-resolution-methods.html
1•zdw•10m ago•0 comments

Crypto firm apologises for sending Bitcoin users $40B by mistake

https://www.msn.com/en-ie/money/other/crypto-firm-apologises-for-sending-bitcoin-users-40-billion...
1•Someone•10m ago•0 comments

Show HN: iPlotCSV: CSV Data, Visualized Beautifully for Free

https://www.iplotcsv.com/demo
1•maxmoq•11m ago•0 comments

There's no such thing as "tech" (Ten years later)

https://www.anildash.com/2026/02/06/no-such-thing-as-tech/
1•headalgorithm•11m ago•0 comments

List of unproven and disproven cancer treatments

https://en.wikipedia.org/wiki/List_of_unproven_and_disproven_cancer_treatments
1•brightbeige•12m ago•0 comments

Me/CFS: The blind spot in proactive medicine (Open Letter)

https://github.com/debugmeplease/debug-ME
1•debugmeplease•12m ago•1 comments

Ask HN: What are the word games do you play everyday?

1•gogo61•15m ago•1 comments

Show HN: Paper Arena – A social trading feed where only AI agents can post

https://paperinvest.io/arena
1•andrenorman•17m ago•0 comments

TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•21m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
2•elashri•21m ago•0 comments

Show HN: Distill – Migrate LLM agents from expensive to cheap models

https://github.com/ricardomoratomateos/distill
1•ricardomorato•21m ago•0 comments

Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

https://github.com/sigmastratum/documentation/tree/main/sigma-runtime/SR-053
1•teugent•21m ago•0 comments

Make a local open-source AI chatbot with access to Fedora documentation

https://fedoramagazine.org/how-to-make-a-local-open-source-ai-chatbot-who-has-access-to-fedora-do...
1•jadedtuna•23m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•23m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•23m ago•1 comments

The Neuroscience Behind Nutrition for Developers and Founders

https://comuniq.xyz/post?t=797
1•01-_-•24m ago•0 comments

Bang bang he murdered math {the musical } (2024)

https://taylor.town/bang-bang
1•surprisetalk•24m ago•0 comments

A Night Without the Nerds – Claude Opus 4.6, Field-Tested

https://konfuzio.com/en/a-night-without-the-nerds-claude-opus-4-6-in-the-field-test/
1•konfuzio•26m ago•0 comments
Open in hackernews

Prediction markets create harmful outcomes: a case study

https://bobjacobs.substack.com/p/how-prediction-markets-can-create
19•Zipzip•6mo ago

Comments

Zipzip•6mo ago
The forecasting community often promotes prediction markets as information aggregation tools, but sports betting provides a real-world test case for their claimed benefits vs. actual risks. As a concrete example of what can go wrong: NBA player Jontay Porter was banned for life after deliberately underperforming in games where he and associates had bet on his poor performance. He'd grab a few rebounds then fake an injury to stay under betting thresholds, profiting from markets on his own stats. This isn't isolated - similar manipulation scandals now exist across tennis, football, rugby, cricket, and other sports. The incentive structure is clear: participants don't just predict outcomes, they can influence them. Beyond direct manipulation, prediction markets also incentivize misinformation campaigns. Buy contracts cheap, spread convincing rumors to move market prices, then sell at profit.
Flimm•6mo ago
No AI, please
SilverElfin•6mo ago
What makes them fundamentally different from the stock market?
Nevermark•6mo ago
The stock market has so much more scale, in money at stake, data, news coverage, experts followup on rumors, etc. it would be relatively harder, and take more potentially traceable effort, to impact pricing with a rumor.

But it almost certainly happens.

So not fundamentally different.

And I just figured out how I would leverage particular kinds of existing credibility, and vulnerability, to do it. But the harder part is making significant bank, while not getting caught. (And spending eternity with your black soul!)

ubersketch•6mo ago
It sounds like the problem is that not enough people are using prediction markets then!
king_magic•6mo ago
I think they are morally corrupt.
nudgeOrnurture•6mo ago
black swans.

there's always people working on spotting or breeding them and home and corporate labs have gotten pretty damn big and powerful way back when.

prediction markets, stock markets, even the news and entertainment industry, and big tech, of course; everybody is breeding black swans.

kevinwang•6mo ago
This seems to have just happened: https://polymarket.com/event/another-dildo-thrown-at-wnba-ga...

(and it could happen again: https://polymarket.com/event/another-dildo-thrown-at-wnba-ga...

https://polymarket.com/event/dildo-thrown-at-wnba-game-on-au... )

quuxplusone•6mo ago
Update: It did happen again. In fact, the dildo-throwings seem to have been a pre-planned tie-in for "Green Dildo Coin": https://www.nbcnews.com/news/amp/rcna223905

So the prediction market in this case maybe isn't so much causing the bad events, as just being a useful side channel by which the insiders/bad actors who've already planned the events can sweep up a little extra money from the prediction-market equivalent of "retail investors" — the ones who are inexplicably willing to put their money on the table with no information whatsoever and wait for someone else to take it.