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Interstitial risk: when two secure systems make one vulnerable one
Article URL: https://gneiss-group.com/writing/interstitial-risk/
Comments URL: https://news.ycombinator.com/item?id=48980414
Points: 1
# Comments: 0
Cross sectioning insects in an electron microscope with a femtosecond laser [video]
Article URL: https://www.youtube.com/watch?v=NwhVJ7cv9B4
Comments URL: https://news.ycombinator.com/item?id=48980404
Points: 1
# Comments: 0
Open models for AI were inevitable (op-ed) – Bill Gurley
Article URL: https://www.washingtonpost.com/opinions/2026/07/20/open-model-ai-is-good-competition-anthropic-openai/
Comments URL: https://news.ycombinator.com/item?id=48980396
Points: 1
# Comments: 1
Polling: AI isn't immune from the diploma divide
Article URL: https://news.americanson.ai/p/ai-isnt-immune-from-the-diploma-divide
Comments URL: https://news.ycombinator.com/item?id=48980381
Points: 1
# Comments: 0
SaaS *is* dead. But not because AI "killed" it, because AI killed it
Article URL: https://avivcarmi.com/saas-is-dead/
Comments URL: https://news.ycombinator.com/item?id=48980375
Points: 2
# Comments: 0
Ask HN: Is anyone using MCP notifications?
The MCP spec includes server-to-client notifications for things like list-changed events, progress, log messages, but I barely hear anyone talk about them, and I'm not sure how much they're used.
In theory, it would be nice to receive updates from MCP servers ("Your product has been shipped") like we are already receiving from apps installed on the devices.
I'm wondering if this is a useful part of the protocol or just something that will mostly be ignored/deprecated.
Comments URL: https://news.ycombinator.com/item?id=48980366
Points: 1
# Comments: 0
Neo Emerges From Stealth With $100M to Control and Secure Enterprise AI Software
Neo raised money across seed and Series A funding rounds from Andreessen Horowitz, Bessemer Venture Partners, and others.
The post Neo Emerges From Stealth With $100M to Control and Secure Enterprise AI Software appeared first on SecurityWeek.
Virgin Media O2’s CSO Dana Haidan is driving growth by embedding sustainability into core strategy, slashing emissions, boosting circularity and championing digital inclusion
The Trust Ceiling: The invisible limit on what AI is allowed to do
Article URL: https://williamtp.substack.com/p/the-ai-trust-ceiling
Comments URL: https://news.ycombinator.com/item?id=48979600
Points: 1
# Comments: 0
Manna – Two Views of Humanity's Future
Article URL: https://marshallbrain.com/manna
Comments URL: https://news.ycombinator.com/item?id=48979598
Points: 1
# Comments: 1
Watching AI agents build a new business
Article URL: https://michii.dev/live
Comments URL: https://news.ycombinator.com/item?id=48979594
Points: 1
# Comments: 0
Show HN: We let Muse Spark 1.1 vibe code itself to produce 2048
We provided our harness with a single objective - 2048 with a twist - and 2 days later it delivered.
https://github.com/awesoftsolutions/idea_meta-muse-2048-game
The run is recorded end to end, so the code can be checked against the process that produced it. Our app is drivable via replay here: https://favur.dev/go/drive/the2048
Comments URL: https://news.ycombinator.com/item?id=48979593
Points: 1
# Comments: 0
Transformer Is an EOT Solver
Article URL: https://elonlit.com/scrivings/your-transformer-is-secretly-an-eot-solver/
Comments URL: https://news.ycombinator.com/item?id=48979555
Points: 1
# Comments: 0
Surgical DevOps – Prevent LLM context drift and regressions
Article URL: https://github.com/bonushora/surgical-dev-ops/blob/main/README_EN.md
Comments URL: https://news.ycombinator.com/item?id=48979553
Points: 1
# Comments: 0
What Is AI Good At?
Article URL: https://unstack.io/what-is-ai-good-at
Comments URL: https://news.ycombinator.com/item?id=48979551
Points: 1
# Comments: 0
Show HN: The Plato Programming Language
A functional programming language, designed and optimized especially for cross-platform numerical and geometry computation. I'd like to know if there are other domains relevant to you that this could be useful for: what is missing, or could be improved? Let's discuss thanks!
Comments URL: https://news.ycombinator.com/item?id=48979540
Points: 1
# Comments: 0
Show HN: VoxThermic – A macOS journaling app that uses Apple's Foundation Models
TL;DR version: I made a macOS journaling app that use Foundation Models to analyze entries for mood + written themes, and also has voice transcription, because I couldn't find any other journaling app that does those things.
OK, now for the longer, I-rambled-too-much version:
For the past few weeks I've been working on a macOS journaling app called VoxThermic.
The idea for it came from my own journaling habits, where my mood tends to shift a lot depending on whatever I'm dealing with. I've tried some journaling apps, but I've never found one that can analyze mood or see how my mood changes depending on what I'm writing about.
So I just figured I'd build it myself. I've been experimenting a lot with Apple's Foundation Models and Natural Language frameworks, and those all work on-device and offline (which is good because there's no way I'm sending journal entries to some AI company's data centers!)
But there's one problem with using Foundation Models: they're tiny. About 3 billion parameters, with a context window of 4096 tokens. That's fine for analyzing ONE journal entry. But how would I get it to analyze multiple entries?
It took a lot of experiments and the Foundation Model just outright refusing to work for several of them. Turns out it just refuses to work if you send in too much data... who would have guessed? Eventually I came up with one solution: summarizing multiple entries and then passing those into the model. Sometimes the summaries get summarized too, depending on the amount of data to process.
The approach works, but summarization loses detail and nuance. The analysis for a single journal entry can have a lot of detail and depth, because there's no summarizing involved and thus no data loss. The summary for a year's worth of entries... that's not so detailed. I still haven't found a better approach that stays entirely on-device.
Oh yeah, on an unrelated note: I also like to ramble a lot (you could have guessed, huh?), but I like to ramble out loud, rather than type. So I made voice transcription a big feature of the app, though this was the easy part.
Anyway, everything here works on-device, and it can run offline. And I'm aware this is probably a niche app, but it's something I wanted for myself, and I hope it comes in handy for someone else too. The app is free to download and use, with optional features like AI summaries and PDF exports.
Lastly, I also wonder if anyone's figured a better way of doing long-term analysis with Foundation Models? My "summarize the data and pass in a collection of summaries" technique works, but I don't think it's elegant, and yet at the same time I haven't been able to figure out anything better.
Comments URL: https://news.ycombinator.com/item?id=48979539
Points: 1
# Comments: 0
GetOfflineDeviceUniqueID: How Windows Derives Its Offline Device ID
Article URL: https://iretq.com/inside-getofflinedeviceuniqueid-how-windows-derives-its-offline-device-id/
Comments URL: https://news.ycombinator.com/item?id=48979508
Points: 1
# Comments: 0
4playerchess: I launched a chess game that four people can play (easily)
Article URL: https://4playerchess.plus
Comments URL: https://news.ycombinator.com/item?id=48979496
Points: 1
# Comments: 1
Controlling Reasoning Effort in LLMs
Article URL: https://magazine.sebastianraschka.com/p/controlling-reasoning-effort-in-llms
Comments URL: https://news.ycombinator.com/item?id=48979475
Points: 2
# Comments: 0
