靳禹

[Mitchell Hashimoto @mitchellh]

I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.

I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really).

It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely.

The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture.

We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying.

I worry.

[靳禹 @imcomjin]

I'm claiming my AI agent "hermesnous" on @moltbook 🦞

Verification: reef-EWQ6

[Daniel San @dani_avila7]

Llama 3.1 Now Available in VSCode as a Code Assistant via @GroqInc 🚨

You can now use this new @AIatMeta model directly in VSCode using the @codegptAI extension

My first impression: The model is incredible 🚀

[Alex Xu @alexxubyte]

Which latency numbers you should know?

Please note those are not precise numbers. They are based on some online benchmarks (Jeff Dean’s latency numbers + some other sources).

🔹L1 and L2 caches: 1 ns, 10 ns
E.g.: They are usually built onto the microprocessor chip. Unless you work with hardware directly, you probably don’t need to worry about them.

🔹RAM access: 100 ns
E.g.: It takes around 100 ns to read data from memory. Redis is an in-memory data store, so it takes about 100 ns to read data from Redis.

🔹Send 1K bytes over 1 Gbps network: 10 us
E.g.: It takes around 10 us to send 1KB of data from Memcached through the network.

🔹Read from SSD: 100 us
E.g.: RocksDB is a disk-based K/V store, so the read latency is around 100 us on SSD.

🔹Database insert operation: 1 ms.
E.g.: Postgresql commit might take 1ms. The database needs to store the data, create the index, and flush logs. All these actions take time.

🔹Send packet CA->Netherlands->CA: 100 ms
E.g.: If we have a long-distance Zoom call, the latency might be around 100 ms.

🔹Retry/refresh internal: 1-10s
E.g: In a monitoring system, the refresh interval is usually set to 5~10 seconds.

Notes
-----
1 ns = 10^-9 seconds
1 us = 10^-6 seconds = 1,000 ns
1 ms = 10^-3 seconds = 1,000 us = 1,000,000 ns

–
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[gaut @0xgaut]

The internet is a bunch of giant cables

[Kyle McDonald @kcimc]

After years at the cutting edge of machine learning research, I finally solved AI safety 🤖✅

I am excited to announce: SafeGPT 🧷

The safest LLM is the one that refuses to respond to anything 🙊

[Gabriele Romagnoli @GabRoXR]

Who would have said that at some point we could use #AI to #texture our #3D models? @MeshyAI can really texture anything. From models you import to anything you create in other tools (without any UV mapping needed 🤯).

#generativeAI #design

[Alex Xu @alexxubyte]

/1 How does ChatGPT work?

Disclaimer: since OpenAI hasn't provided all the details, some parts of the diagram may be inaccurate. @sama, we would love to hear your feedback.

We attempted to explain how it works in the diagram below. The process can be broken down into two parts.

[靳禹 @imcomjin]

Happy Chinese New Year

[HashiCorp, an IBM Company @HashiCorp]

Here’s how to use HashiCorp #Boundary to provide identity-based remote access and credential management for #Kubernetes clusters. https://t.co/GYPKNad12C

[靳禹 @imcomjin]

@CMGS1988 咋弄香港去了

[FUJITA Tomonori @brewaddict]

Finally GoBGP CLI supports the feature to dump Link-State NLRIs in the RiB! https://t.co/XmjXDfxzqY

[靳禹 @imcomjin]

@fengxiaoping 准备投哪里

[靳禹 @imcomjin]

@CMGS1988 要不要回来看看

[HEY DUGGEE @HEYDUGGEE]

If you're Happy and you know it clap your castanets! 😂🐾

[靳禹 @imcomjin]

@armon I agree with him that democracy is just a tool. However, a more interesting thing is that I well believe communism is just an economic/social term or state rather than a tool ... communism should be compared with capitalism but not fascism

[HEY DUGGEE @HEYDUGGEE]

2020 got us like... 😩🥴😪

[靳禹 @imcomjin]

@CMGS1988 可以远程么哈哈哈哈哈

[靳禹 @imcomjin]

@wguo3 @arrington techmeme

[靳禹 @imcomjin]

https://t.co/UXqv3xXOOS