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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•5m 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•11m 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•15m 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•15m ago•0 comments

Google staff call for firm to cut ties with ICE

https://www.bbc.com/news/articles/cvgjg98vmzjo
38•tartoran•15m ago•4 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•18m 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•27m ago•0 comments

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

https://github.com/ricardomoratomateos/distill
1•ricardomorato•27m 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•29m 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

Show HN: How to Spot AI Chatbots vs. Real Humans: 5 Proven Detection Methods

https://tolearn.blog/blog/ai-chatbot-detection-methods-2025
1•leoli123•4mo ago
Essential digital literacy skills for the AI-saturated world of 2025

Why You Need This Skill in 2025 In our AI-saturated world, detecting AI chatbots has become an essential digital literacy skill! Whether you're avoiding scams, ensuring authentic communication, or simply satisfying curiosity, learning to distinguish AI from humans is crucial.

5 Battle-Tested Detection Techniques 1. Response Speed Analysis Human Indicators:

Typing pauses and "typing..." delays Longer think time for complex questions Occasional response delays AI Red Flags:

Instant long responses Unnaturally consistent response timing 2. Language Pattern Detective Work Human Signatures:

Typos and casual expressions Emojis, slang, internet lingo Emotional tone variations AI Giveaways:

Perfect grammar and structure Formal, templated responses Lack of personalized language quirks 3. Personal Experience Mining Test Questions:

"What did you eat today?" "Describe your neighborhood" "Share a childhood memory" Evaluation Criteria:

Humans provide vivid, specific details AI gives vague, generic responses 4. Knowledge Blind Spot Testing Effective Tests:

Breaking news (within 24 hours) Local/niche knowledge Personal professional experiences 5. Logical Consistency Verification Methods:

Repeat questions after time gaps Check for contradictions Test "memory" coherence Advanced Detection Tactics Creativity Tests: Request improvisation, jokes, or original content

Emotional Depth: Share personal struggles, observe response authenticity

Technical Probing: Ask "What model are you? What's your training data?"

The Bottom Line AI detection skills are becoming the "mind reading" superpower of the digital age. Master these techniques, and you'll navigate online interactions with confidence!

Remember: Stay vigilant but embrace the benefits AI technology brings to our lives.

Key Takeaways Response timing patterns reveal AI vs human behavior Language analysis exposes AI's formal communication style Personal experience questions challenge AI's knowledge limitations Consistency testing reveals AI's programmed responses Advanced tactics provide deeper verification methods Pro Tip: Combine multiple detection methods for the most accurate results. No single technique is foolproof in the rapidly evolving AI landscape.

Keywords: AI chatbot detection, human vs AI identification, digital security tips, bot detection methods, AI verification techniques