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

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

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•6m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
1•mooreds•6m ago•1 comments

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

1•Buttons840•7m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

1•pinkmuffinere•9m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•13m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•15m 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•15m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•16m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
3•archb•18m 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•18m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•19m ago•0 comments

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

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•19m ago•0 comments

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

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•24m ago•0 comments

Python Only Has One Real Competitor

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

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•26m ago•1 comments

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

1•otterley•28m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•29m ago•0 comments

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

https://davmail.sourceforge.net/
1•todsacerdoti•29m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•31m ago•0 comments

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

https://github.com/chinonsochikelue/tharos
1•fluantix•32m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•32m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•33m ago•1 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•34m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•36m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•36m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
1•paulpauper•37m ago•0 comments

Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•38m ago•1 comments

NASA delays moon rocket launch by a month after fuel leaks during test

https://www.theguardian.com/science/2026/feb/03/nasa-delays-moon-rocket-launch-month-fuel-leaks-a...
1•mooreds•38m ago•0 comments

Sebastian Galiani on the Marginal Revolution

https://marginalrevolution.com/marginalrevolution/2026/02/sebastian-galiani-on-the-marginal-revol...
2•paulpauper•42m ago•0 comments
Open in hackernews

Ask HN: What are your AI predictions for 2026?

2•LeoWood42•1mo ago
We've seen Gemini 3 Pro, Claude 4.5 Opus, Nano Banana, Sora 2 and a flood of AI apps. But lately, I’ve found myself feeling more pessimistic than excited. While the capabilities are scaling, the operational costs remain brutal.

Comments

felipeerias•1mo ago
The most important point is that even if AI capabilities do not improve much past the current state of the art, the consequences of this technology will still take years to play out, both in tech and in society as a whole.

We are already seeing diminishing returns on state of the art models as training becomes more expensive for smaller relative improvements. For AI companies, attempting the next generational leap becomes an increasingly risky bet, but missing the next generational leap would mean bankruptcy.

In the rest of the tech world, attention and investment will continue to move towards tools build on top of AI models, probably with coding agents as the initial and main focus. AI is a foundational technology, but we are still figuring out what we will build on that foundation.