2,485 karma · joined November 28, 2013
While cashapp may actually need sharding, there are so many companies who are overpaying for shitty performing network storage databases.
Not to mention you are subject to cloud provider networking and compute allocation code. They change it. Big slow network storage DB suddenly gets even worse and you don’t have leverage to have it fixed on their end.
Otherwise they’ll be the ones like Erdős who pose the questions in the first place.
Either way it will always be humans who decide what matters. AI is speaking our languages, not the other way around. We’re in charge. It’s impossible for us not to be, unless we can train an AI from dolphin data or other natural phenomenon.
The AIs intelligence is tuned to us and in 300 years we’ll need new training runs for the update from human zeitgeist language and the 2200 century famous mathematicians.
Pxehost is much less featureful than Bootimus, no dashboard, and only supports netboot.xyz.
I am curious how Bootimus got udp broadcast to work via Docker on arm macOS. I could not figure that out and it’s why I released pxehost as a cross platform binary.
We need a good ISO to set up new hosts to run firecracker VMs in k3s. That would be a killer homelab tool. Tooling to make custom ISOs. And some Kairos/Talos immutable image update style tooling would be great too.
The dream is to boot via PXE once per host to setup secure k8s nodes, using just Ethernet cord, ISP router, and a windows laptop or an iPhone.
> MCP Bundles (.mcpb) are zip archives containing a local MCP server and a manifest.json that describes the server and its capabilities. The format is spiritually similar to Chrome extensions (.crx) or VS Code extensions (.vsix), enabling end users to install local MCP servers with a single click.
What research? Where is it published?
It makes some sense that Mythos/ChatGPT 5.5 might be that much better with complexities that curl just doesn't have because it's a basic tool.
Like yeah curl is obviously extremely fully featured as an "anything client" but it's orders of magnitude less complex than other software we rely on.
The SIMD part is just in the last step, where it uses SIMD to search the last 16 elements.
The Quad part is that it checks 3 points to create 4 paths, but also it's searching for the right block, not just the right key.
The details are a bit interesting. The author chooses to use the last element in each block for the quad search. I'm curious how the algorithm would change if you used the first element in each block instead, or even an arbitrary element.
Let’s say a person has 10 units of learning per week. Is the author actually claiming that that person must not deliver any results beyond their 10 units?
It makes some sense to have say 20 units of results and prioritize which ones to fully comprehend.
I suspect APIs / libraries / languages / platforms will have more churn due to AI. New platform new system need to learn. Once every 5 years might become every year or even more frequent. That would be a sort of inflation of knowledge and skills. It would affect the decision making about how to spend one’s 10 units per week.
When I play Bitburner, if I want to run it in the background, I have to run the game on Firefox or chrome. It’s a shame because safari actually gives best performance by quite a large margin.
My router has a backup/restore feature with an encrypted export, I figured I could use that to control or at least inspect all of its state, but I/codex could not figure out the encryption.
Try saying English “hell” but dragging out the “l” (“helllllllll”); very nasal. Compare audio here: https://en.wiktionary.org/wiki/hell#German