mvelbaum

What about https://www.researchgate.net/publication/298298360_The_birth... ? (Tel Dan stele & Khirbet Qeiyafa)

This is one of the reasons why I'm personally not all in on electric vehicles. The other is that there are doubts that the grid can actually handle almost everyone switching to them.

See also: https://www.newsnationnow.com/on-balance-with-leland-vittert...

I wonder if Tokio is also a reason for worse performance compared to Go's concurrency runtime.

hn (at) mvelbaum.com

Thanks!

Hey ncmncm, I know this is off-topic, but I just wanted to say that I really enjoyed your informative comments on high performance low-latency architectures. I was wondering, could I ask you a question via email?

Carl Hewitt is the inventor of the actor model of concurrent computation.

See paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3428114

Project Liftoff(TM) to develop and deploy UIS in this decade stands to be a huge development effort comparable to the Apollo Project. Education will be crucial to the success of Project Liftoff because there is an enormous talent shortage.

US has yet to commence Project Liftoff, but there is a growing consensus that a large effort is required to address issues of universal Integrative Intelligent Systems. China is racing to develop its own indigenous universal secure intelligent systems as rapidly as possible [Liu, 2020, Cheng, Feifel, and Shuia 2019, Xin and Chi-yuk 2018, China State Council 2017, Lewis and Litai 1988. Evan Feigenbaum 2003].

Discursive(TM) is a proposed architecture for universal Integrative Secure Intelligent Systems with the following technology stack:

• Actor myriad-cores architecture with: ActorScript(TM) for massive robust concurrency, strongly-typed without extra tag bits architecture to protect security of Actors including dynamic relocation and automatic pause-less storage reclamation, 10ns average communication latency to provide quick response time to users

• Services for underlying operations, e.g., interoperation with datacenters and other Citadels

• Massive Inference-Robust Ontology [Guarino and Musen 2015, Hewitt 2016-2019] for operations on massive amounts of pervasively inconsistent information including statistics and correlations

• Matrix [Bender, Flickinger, and Oepen 2002, Bender et. al. 2010] for discourse, rhetoric and narratology

• Experiences [Gurman 2017, Mundy 2016, Shapiro, et. al. 2015] for collaborations, gestures, video, etc.

• Citadels [Hewitt 2019] for increased performance and robustness with no single point of failure and rectifying mistakes ASAP

The Discursive(TM) system outlined in this article can enable Universal Intelligent Systems by 2030. The task for the proposed project Liftoff is to implement the Discursive system.

Discourse Technology is enormously more powerful than Correlation Technology (e.g., “Deep Learning”), which will not by itself produce Universal Intelligent Systems in this decade.

What do you need a WAF for? Unless it's a legacy app that you have no control over, the best alternative would be nothing.

I'm using this for personal projects, so I'd prefer a free solution. GitLab has a self-hosted version but it's not clear what's available and what requires a license.

The second reason is that GitLab's minimal resource requirements[0] are just overkill compared to OneDev[1] which can run in a single container with an embedded database.

[0] https://docs.gitlab.com/ee/install/requirements.html [1] https://code.onedev.io/projects/162/files/main/pages/run-as-...

This, and the many trivial CVEs that were discovered in Gitea made me look for alternatives. I think that right now the best free and OSS solution is https://github.com/theonedev/onedev. It even has CI/CD built-in which is cool!