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Article URL: https://twitter.com/moritzthuening/status/2063382385845244281

Comments URL: https://news.ycombinator.com/item?id=48433509

Points: 3

# Comments: 0

Article URL: https://www.politico.eu/article/us-to-pull-jets-destroyers-and-submarines-from-nato-in-a-broader-european-fallback/

Comments URL: https://news.ycombinator.com/item?id=48433497

Points: 4

# Comments: 0

Article URL: https://www.theguardian.com/technology/2026/jun/07/anti-ai-tech-extremism-violence

Comments URL: https://news.ycombinator.com/item?id=48433493

Points: 3

# Comments: 1

Article URL: https://arxiv.org/abs/2605.31514

Comments URL: https://news.ycombinator.com/item?id=48433488

Points: 2

# Comments: 0

Article URL: https://nairametrics.com/2026/06/05/why-nigerias-stock-market-is-falling-and-when-analysts-expect-a-rebound/

Comments URL: https://news.ycombinator.com/item?id=48433467

Points: 2

# Comments: 1

Article URL: https://en.wikipedia.org/wiki/Natural_nuclear_fission_reactor

Comments URL: https://news.ycombinator.com/item?id=48433465

Points: 2

# Comments: 0

Article URL: https://github.com/phenax/sqlite-creative-coding

Comments URL: https://news.ycombinator.com/item?id=48433427

Points: 2

# Comments: 0

Article URL: https://github.com/alexander-akhmetov/sigil-hermes

Comments URL: https://news.ycombinator.com/item?id=48433422

Points: 2

# Comments: 0

Article URL: https://arstechnica.com/science/2026/06/scientists-ejected-from-diabetes-conference-for-distributing-journal-reprints/

Comments URL: https://news.ycombinator.com/item?id=48433410

Points: 20

# Comments: 5

Article URL: https://acquired-carve-outs.vercel.app/

Comments URL: https://news.ycombinator.com/item?id=48433394

Points: 2

# Comments: 0

Article URL: https://www.tomshardware.com/pc-components/storage/the-floppy-disk-patent-was-granted-today-in-1972-when-80kb-took-up-8-inches-and-were-really-floppy

Comments URL: https://news.ycombinator.com/item?id=48433372

Points: 3

# Comments: 0

Article URL: https://www.science.org/content/article/how-ph-d-riding-bike

Comments URL: https://news.ycombinator.com/item?id=48433369

Points: 3

# Comments: 0

Article URL: https://ia601502.us.archive.org/23/items/pa-rating-area-individual-analyses-june-2026/PA_Rating_Area_Individual_Analyses_June2026.pdf

Comments URL: https://news.ycombinator.com/item?id=48433364

Points: 2

# Comments: 0

It's not X, it's Y.

That is so a genre or idiom of the current AI age. Why? I think because AIs live in language. They don't live somewhere else. So they have to exclude all the language network of things it's not in order to focus themselves on the thing it is. If they were more subconscious/symbolic like us, they could just not say that. But because their words, create their words, etc - more than us - they have to use this construction, to exclude the gigantic amount of stuff that whatever you're talking about is not.

What do y'all think?

Comments URL: https://news.ycombinator.com/item?id=48433363

Points: 2

# Comments: 1

Netflix always delivers the sci-fi goods.

Article URL: https://discourse.haskell.org/t/h2jvm-a-haskell-library-for-writing-jvm-bytecode/14182

Comments URL: https://news.ycombinator.com/item?id=48433356

Points: 2

# Comments: 0

Article URL: https://antirez.com/news/168

Comments URL: https://news.ycombinator.com/item?id=48433351

Points: 3

# Comments: 0

This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data.

In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens.

In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall rate, importance, category, to which memory chain it's connected to etc. These parameters are fine tuned so that we can cater to both episodic memory and semantic memory.

Our memory layer keeps the size flat in this manner. You can draw correlation of this infrastructure with how Human brain store and prune memory.

The enterprise model is something very exciting as we can extract relevant memories from each user, agent and sub agent in this layer and that can be used by any one in the org, ensuring memory optimization at an enterprise level.

Comments URL: https://news.ycombinator.com/item?id=48433327

Points: 19

# Comments: 0

Article URL: https://plumbum.readthedocs.io/en/latest/

Comments URL: https://news.ycombinator.com/item?id=48433319

Points: 1

# Comments: 0

Article URL: https://tumbleweedwords.com/from-stamps-to-submittable-what-published-means-now.html

Comments URL: https://news.ycombinator.com/item?id=48433314

Points: 1

# Comments: 0