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Velocity of Money

https://en.wikipedia.org/wiki/Velocity_of_money
1•gurjeet•1m ago•0 comments

Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•5m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•6m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•7m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•11m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•12m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•13m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•20m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•22m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•26m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
8•mooreds•27m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•28m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•30m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•34m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•36m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•36m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•36m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•38m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•39m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•40m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•40m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•45m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•47m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•47m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•49m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•49m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•50m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•52m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•53m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•53m ago•0 comments
Open in hackernews

Keep the Future Human

https://keepthefuturehuman.ai/essay/
3•Improvement•8mo ago

Comments

Improvement•8mo ago
- [Executive Summary](https://keepthefuturehuman.ai/executive-summary/).

- [Interactive Summary](https://interactive.keepthefuturehuman.ai/).

> Dramatic advances in artificial intelligence over the past decade (for narrow-purpose AI) and the last several years (for general-purpose AI) have transformed AI from a niche academic field to the core business strategy of many of the world’s largest companies, with hundreds of billions of dollars in annual investment in the techniques and technologies for advancing AI’s capabilities.

> We now come to a critical juncture. As the capabilities of new AI systems begin to match and exceed those of humans across many cognitive domains, humanity must decide: how far do we go, and in what direction?

> AI, like every technology, started with the goal of improving things for its creator. But our current trajectory, and implicit choice, is an unchecked race toward ever-more powerful systems, driven by economic incentives of a few huge technology companies seeking to automate large swathes of current economic activity and human labor. If this race continues much longer, there is an inevitable winner: AI itself – a faster, smarter, cheaper alternative to people in our economy, our thinking, our decisions, and eventually in control of our civilization.

> But we can make another choice: via our governments, we can take control of the AI development process to impose clear limits, lines we won’t cross, and things we simply won’t do – as we have for nuclear technologies, weapons of mass destruction, space weapons, environmentally destructive processes, the bioengineering of humans, and eugenics. Most importantly, we can ensure that AI remains a tool to empower humans, rather than a new species that replaces and eventually supplants us.

> This essay argues that we should keep the future human by closing the “gates” to smarter-than-human, autonomous, general-purpose AI – sometimes called “AGI” – and especially to the highly-superhuman version sometimes called “superintelligence.” Instead, we should focus on powerful, trustworthy AI tools that can empower individuals and transformatively improve human societies’ abilities to do what they do best. The structure of this argument follows in brief.

limflick•8mo ago
AI development/research is far too modular and globalized to be regulated, or have regulation have any sizeable impact on its progress, assuming it's even possible to properly define clearly, "limits that shouldn't be crossed". Even needing to understand enough about AI to define those limits would ironically be made difficult through regulation. Just my 2 cents.