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eugmai86

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投稿

MCP Does Not Need Another App Store. It Needs a Control Plane

vectoralix.com
1 ポイント·投稿者 eugmai86·15 日前·0 コメント

MCP Solves the Plug, Not the Trust Boundary

vectoralix.com
1 ポイント·投稿者 eugmai86·30 日前·0 コメント

コメント

eugmai86
·15 日前·議論
[flagged]
eugmai86
·25 日前·議論
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eugmai86
·25 日前·議論
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eugmai86
·26 日前·議論
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eugmai86
·26 日前·議論
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eugmai86
·29 日前·議論
[dead]
eugmai86
·先月·議論
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eugmai86
·先月·議論
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eugmai86
·先月·議論
The most interesting part for me is not the top-end 192 core size, but the small/medium sizes.

Looks like m9g.large is about 9% more expensive than m8g.large on-demand, at least in Vantage’s current data.

If the “up to 25% compute improvement” holds for real web/database workloads, that is a pretty reasonable perf/$ trade. The usual caveat is that small SaaS apps are often bottlenecked on DB, storage, or network long before raw CPU.
eugmai86
·先月·議論
[dead]
eugmai86
·先月·議論
Nice example of an algorithm that is simple enough to explain in a few lines, but still changes how you think about floating point errors.
eugmai86
·先月·議論
[flagged]
eugmai86
·先月·議論
[flagged]
eugmai86
·先月·議論
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eugmai86
·先月·議論
Nice visualization. Putting the cells directly on the sphere makes the nearest-neighbor idea much easier to understand.

On a flat map I always have to ask myself how much of what I’m seeing is geometry and how much is projection distortion
eugmai86
·2 か月前·議論
[dead]
eugmai86
·2 か月前·議論
Thanks!