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Near-Instantly Aborting the Worst Pain Imaginable with Psychedelics

https://psychotechnology.substack.com/p/near-instantly-aborting-the-worst
1•eatitraw•3m ago•0 comments

Show HN: Nginx-defender – realtime abuse blocking for Nginx

https://github.com/Anipaleja/nginx-defender
2•anipaleja•3m ago•0 comments

The Super Sharp Blade

https://netzhansa.com/the-super-sharp-blade/
1•robin_reala•4m ago•0 comments

Smart Homes Are Terrible

https://www.theatlantic.com/ideas/2026/02/smart-homes-technology/685867/
1•tusslewake•6m ago•0 comments

What I haven't figured out

https://macwright.com/2026/01/29/what-i-havent-figured-out
1•stevekrouse•7m 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•7m ago•0 comments

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

https://twitter.com/b1rdmania/status/2020155122181869666
2•birdmania•7m ago•1 comments

First Proof

https://arxiv.org/abs/2602.05192
2•samasblack•9m 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•10m ago•0 comments

Kagi Translate

https://translate.kagi.com
2•microflash•11m 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•12m ago•0 comments

Tactical tornado is the new default

https://olano.dev/blog/tactical-tornado/
2•facundo_olano•14m 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•14m 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•14m ago•0 comments

Google staff call for firm to cut ties with ICE

https://www.bbc.com/news/articles/cvgjg98vmzjo
38•tartoran•15m ago•3 comments

Dependency Resolution Methods

https://nesbitt.io/2026/02/06/dependency-resolution-methods.html
1•zdw•15m 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•16m ago•0 comments

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

https://www.iplotcsv.com/demo
2•maxmoq•17m 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•17m ago•0 comments

List of unproven and disproven cancer treatments

https://en.wikipedia.org/wiki/List_of_unproven_and_disproven_cancer_treatments
1•brightbeige•17m ago•0 comments

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

https://github.com/debugmeplease/debug-ME
1•debugmeplease•18m ago•1 comments

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

1•gogo61•21m ago•1 comments

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

https://paperinvest.io/arena
1•andrenorman•22m ago•0 comments

TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•26m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
2•elashri•26m ago•0 comments

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

https://github.com/ricardomoratomateos/distill
1•ricardomorato•26m 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•27m 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•28m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•29m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•29m ago•1 comments
Open in hackernews

Is the AI Mania a Psych-Ops?

http://charleshughsmith.blogspot.com/2025/08/if-it-walks-like-duck-is-ai-mania-psych.html
8•spking•5mo ago

Comments

andsoitis•5mo ago
> Psychological operations (PSYOPs or Psych-Ops) aim to achieve narrative dominance by molding perceptions and attitudes via multi-channel information and persuasive messaging. PSYOPs seeks to achieve control through non-violent means by influencing the minds of the target audiences.

This definition sounds like a bunch of fancy words for Propaganda? How is “PSYOPS” different?

nis0s•5mo ago
Psych ops is different from propaganda because the former has a component of weakening an opponent through messaging, whereas the latter is more concerned with trying to convince others to your side or view point. But you’re right that there could be overlap, it just depends on who’s the target.
andsoitis•5mo ago
Thanks. So propaganda is the message, while psyops is the campaign that might use propaganda (and other tools) as part of a larger psychological strategy.
lif•5mo ago
well then! to flag, brigade against, or ignore..

(if he is right, then one of the above is likely, right?)

(otoh, if he is wrong, does anyone have some very solid, well considered counterpoints to share?)

AnimalMuppet•5mo ago
Tinfoil hat time:

Let's say that I can make a stochastic parrot with a tunable bias. Let's say I want to run the world. If I can get everyone to accept the parrot as actually smarter than humans, and so everyone listens to it as an authority, and I control the parrot, then I run the world.

Fricken•5mo ago
No tin foil hat needed, You've adequately described the Catholic Church. Their methods, however, are starting to look a little outdated as of late. The new standard in mind control is due to arrive soon.
JSR_FDED•5mo ago
I don’t know if it’s PsyOps or not, but this is recognizable:

> We have been fed a steady diet of bullshit for the last several years.

--General purpose agents that turn out to suck so badly people struggle to find real-world use cases for them.

--Allegedly godlike models that turn out to be incremental advances.

--Claims like 'We now know how to build AGI' that never turn out to be true.

--Promises for world-changing science that rarely materialize.

--Cherry-picked studies, benchmark-gaming, and now even vibe-coded graphs, with zero transparency about how systems work or how they have been trained; public science is in the rear view mirror.