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Corning Invented a New Fiber-Optic Cable for AI and Landed a $6B Meta Deal [video]

https://www.youtube.com/watch?v=Y3KLbc5DlRs
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Show HN: XAPIs.dev – Twitter API Alternative at 90% Lower Cost

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Near-Instantly Aborting the Worst Pain Imaginable with Psychedelics

https://psychotechnology.substack.com/p/near-instantly-aborting-the-worst
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Smart Homes Are Terrible

https://www.theatlantic.com/ideas/2026/02/smart-homes-technology/685867/
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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•11m ago•0 comments

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

https://twitter.com/b1rdmania/status/2020155122181869666
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First Proof

https://arxiv.org/abs/2602.05192
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I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS

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Kagi Translate

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https://fosdem.org/2026/schedule/event/QX3RPH-building_interactive_cc_workflows_in_jupyter_throug...
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Tactical tornado is the new default

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Full-Circle Test-Driven Firmware Development with OpenClaw

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Automating Myself Out of My Job – Part 2

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Dependency Resolution Methods

https://nesbitt.io/2026/02/06/dependency-resolution-methods.html
1•zdw•19m ago•0 comments

Crypto firm apologises for sending Bitcoin users $40B by mistake

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1•Someone•20m ago•0 comments

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https://www.iplotcsv.com/demo
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There's no such thing as "tech" (Ten years later)

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List of unproven and disproven cancer treatments

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

https://github.com/debugmeplease/debug-ME
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Ask HN: What are the word games do you play everyday?

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TOSTracker – The AI Training Asymmetry

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The Devil Inside GitHub

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

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Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

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Make a local open-source AI chatbot with access to Fedora documentation

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1•jadedtuna•33m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•33m ago•0 comments
Open in hackernews

Show HN: Internet Object – a lean, schema-first JSON alternative

https://internetobject.org/
4•aamironline•2mo ago
TL;DR: Internet Object (IO) is a lean, schema-first, JSON-compatible format that cuts structural noise, improves clarity for modern systems, and reduces tokens by ~40–50%.

Playground: https://play.internetobject.org

---

I started exploring this idea in 2017 after repeatedly running into the same pain points with JSON while building distributed systems and structured data pipelines. Rather than extending JSON or adding more layers on top of it, I wanted a format that was clean, schema-first, human-friendly, and still compatible, where that compatibility matters.

The concept evolved slowly over the years, with several redesigns, dead ends, and restarts - until it eventually converged into what I now call Internet Object (IO). The story behind this evolution is here:

https://internetobject.org/the-story/

Although IO was not created with LLMs in mind, its structure ends up being significantly more token-efficient (around 40-50% fewer tokens compared to JSON), which has become a practical advantage in today’s workloads.

I've written a practical guide showing how JSON developers can transition to IO, with syntax explanations: https://blog.maniartech.com/from-json-to-internet-object-a-l...

For side-by-side comparisons with JSON, see the following link:

https://www.internetobject.org/io-vs-json/

There is also an interactive playground if you'd like to try the format directly:

https://play.internetobject.org

https://play.internetobject.org/simple-collection

This is a soft launch to gather early feedback - I would appreciate any thoughts from the community.

Comments

stop50•2mo ago
It looks like a mix of graphql and toon.
aamironline•2mo ago
Thanks for checking it out!

Internet Object (IO)'s design wasn't influenced by Toon or GraphQL.

The project began back in 2017 with very different goals: reducing repeated keys, introducing a schema-first structure, separating data from metadata, supporting a richer type system, and keeping the format as readable as CSV while still being expressive enough for nested data.

IO is meant to be a lean, schema-driven data serialization format - not a query language (like GraphQL) or a minimal notation (like Toon).

Happy to explain any specific parts if you're curious.