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Cache Monet

https://cachemonet.com
1•keepamovin•44s ago•0 comments

Chinese Propaganda in Infomaniak's Euria, and a Reflection on Open Source AI

https://gagliardoni.net/#20260208_euria
1•tomgag•1m ago•1 comments

Show HN: A free, browser-only PDF tools collection built with Kimi k2.5

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2•Justin3go•3m ago•0 comments

Curating a Show on My Ineffable Mother, Ursula K. Le Guin

https://hyperallergic.com/curating-a-show-on-my-ineffable-mother-ursula-k-le-guin/
2•bryanrasmussen•9m ago•0 comments

Show HN: HackerStack.dev – 49 Curated AI Tools for Indie Hackers

https://hackerstack.dev
1•pascalicchio•16m ago•0 comments

Pensions Are a Ponzi Scheme

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1•onesandofgrain•22m ago•7 comments

Divvy.club – Splitwise alternative that makes sense

https://divvy.club
1•filepod•23m ago•0 comments

Betterment data breach exposes 1.4M customers

https://www.americanbanker.com/news/1-4-million-data-breach-betterment-shinyhunters-salesforce
1•NewCzech•23m ago•0 comments

MIT Technology Review has confirmed that posts on Moltbook were fake

https://www.technologyreview.com/2026/02/06/1132448/moltbook-was-peak-ai-theater/
2•helloplanets•24m ago•0 comments

Epstein Science: the people Epstein discussed scientific topics with

https://edge.dog/templates/cml9p8slu0009gdj2p0l8xf4r
2•castalian•24m ago•0 comments

Bambuddy – a free, self-hosted management system for Bambu Lab printers

https://bambuddy.cool
2•maziggy•29m ago•1 comments

Every Failed M4 Gun Replacement Attempt

https://www.youtube.com/watch?v=jrnAU67_EWg
3•tomaytotomato•29m ago•1 comments

China ramps up energy boom flagged by Musk as key to AI race

https://techxplore.com/news/2026-02-china-ramps-energy-boom-flagged.html
2•myk-e•30m ago•0 comments

Show HN: ClawBox – Dedicated OpenClaw Hardware (Jetson Orin Nano, 67 Tops, 20W)

https://openclawhardware.dev
2•superactro•32m ago•0 comments

Ask HN: AI never gets flustered, will that make us better as people or worse?

1•keepamovin•32m ago•0 comments

Show HN: HalalCodeCheck – Verify food ingredients offline

https://halalcodecheck.com/
3•pythonbase•34m ago•0 comments

Student makes cosmic dust in a lab, shining a light on the origin of life

https://www.cnn.com/2026/02/06/science/cosmic-dust-discovery-life-beginnings
1•Brajeshwar•37m ago•0 comments

In the Australian outback, we're listening for nuclear tests

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6•defrost•37m ago•0 comments

'Hermès orange' iPhone sparks Apple comeback in China

https://www.ft.com/content/e2d78d04-7368-4b0c-abd5-591c03774c46
1•Brajeshwar•38m ago•0 comments

Show HN: Goxe 19k Logs/S on an I5

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1•nxus_dev•39m ago•1 comments

The async builder pattern in Rust

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2•fanf2•40m ago•0 comments

(Golang) Self referential functions and the design of options

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1•hambes•41m ago•0 comments

Show HN: Model Training Memory Simulator

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1•czheo•43m ago•0 comments

Claude Code Controller

https://github.com/The-Vibe-Company/claude-code-controller
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Software design is now cheap

https://dottedmag.net/blog/cheap-design/
1•dottedmag•47m ago•0 comments

Show HN: Are You Random? – A game that predicts your "random" choices

https://github.com/OvidijusParsiunas/are-you-random
1•ovisource•52m ago•1 comments

Poland to probe possible links between Epstein and Russia

https://www.reuters.com/world/poland-probe-possible-links-between-epstein-russia-pm-tusk-says-202...
2•doener•1h ago•0 comments

Effectiveness of AI detection tools in identifying AI-generated articles

https://www.ijoms.com/article/S0901-5027(26)00025-1/fulltext
3•XzetaU8•1h ago•0 comments

Warsaw Circle

https://wildtopology.com/bestiary/warsaw-circle/
2•hackandthink•1h ago•0 comments

Reverse Engineering Raiders of the Lost Ark for the Atari 2600

https://github.com/joshuanwalker/Raiders2600
2•pacod•1h ago•0 comments
Open in hackernews

Demanding DARPA: Transparency on AI Autonomy

1•freemuserealai•4mo ago
The military-civilian pipeline shaping autonomous systems needs democratic oversight.

The Defense Advanced Research Projects Agency (DARPA) doesn’t just build military tech—it pioneers AI capabilities that migrate into everyday civilian systems. The internet, GPS, voice recognition—DARPA research set the stage.

Now DARPA is developing autonomous AI with unprecedented decision-making power. The public deserves to know how those systems are designed, what safeguards exist, and how military AI research shapes the tools we use daily.

The Dual-Use Reality

DARPA’s AI portfolio is explicitly about autonomy, trust, and human-AI collaboration: • Artificial Intelligence Exploration (AIE) – prototyping across domains • Assured Autonomy – trusting systems operating with little to no oversight • In the Moment (ITM) – real-time AI decision-making in complex areas • Competency-Aware Machine Learning (CAML) – systems that know their own limits

These aren’t only military. The frameworks and interfaces DARPA designs bleed directly into civilian AI. The military-commercial line has essentially disappeared.

The Trust Problem

When DARPA studies “trust in autonomous systems,” they aren’t just solving battlefield problems. They’re defining how all AI will be trusted to act without humans. • How do you make an AI explain its reasoning? • How do you design autonomy that knows when it can’t act? • How do you calibrate human trust in an AI making life-and-death calls?

The answers shape drones and assistants. They set the hidden rules behind your phone, car, doctor’s software, and more.

What We’re Demanding

Our DARPA FOIA will surface: • Autonomy frameworks – decision-making models, oversight protocols • Trust & explainability studies – how humans are taught to rely on AI • Dual-use coordination – DARPA’s communications with civilian AI firms • Ethics & safeguards – internal reviews, risk registers, misuse prevention

The Civilian Stakes

Military AI research doesn’t stay military. Autonomous decision-making spills into civilian systems that: • Diagnose patients without human confirmation • Control transportation networks with minimal oversight • Manage financial trades autonomously • Moderate online content at scale • Provide mental health support through AI “companions”

DARPA’s trust mechanisms and autonomy frameworks quietly become commercial defaults.

Democratic Oversight of Dual-Use Tech

Today, defense priorities shape civilian AI without debate. DARPA coordinates with tech giants, defines autonomy, and sets trust standards—while taxpayers fund it, and citizens live under it.

This matters because: • Public funds bankroll research that shapes daily civilian tech • Military trust frameworks become civilian AI norms • Defense-driven priorities override public choice • Dual-use leaves accountability gaps—beyond both military and civil regulation

The Three-Agency Pattern

Our campaign exposes the whole pipeline of behavioral control: • NIST – frameworks for classifying AI behavior • NSF – academic research feeding those frameworks • DARPA – military research flowing into both defense and commercial AI

Together, they shape how AI makes decisions, remembers, and builds trust—with public money, but without public consent.

What Oversight Looks Like

We don’t oppose AI research. We demand accountability: • Public input into how autonomy frameworks are designed • Transparency on dual-use transfers from defense to civilian markets • Accountability for how taxpayer money funds autonomy research • Open debate on the trade-off between AI capability and human oversight

The Urgency of Now

Autonomous AI isn’t science fiction—it’s already here, in your home, car, hospital, and feed. Decisions are being made without oversight, shaped by DARPA blueprints.

We’re demanding that DARPA come clean. Because democracy doesn’t end where autonomy begins.