The variance is also worth noting: baseline+FA TG has ±19 t/s of noise, while optimized+FA has ±0.59 t/s on x86. The fusions eliminate intermediate writes that pollute the cache, making the hot paths more predictable.
这一数据揭示了优化的一个意外但重要的好处：不仅提高了性能，还显著降低了结果变异性。这表明通过减少缓存污染和内存访问模式的不确定性，优化可以使系统行为更加可预测。这一发现对构建可靠的高性能系统具有重要意义，强调了优化的一致性而不仅仅是峰值性能。
Coding agents working from code alone generate shallow hypotheses. Adding a research phase — arxiv papers, competing forks, other backends — produced 5 kernel fusions that made llama.cpp CPU inference 15% faster.
这一声明揭示了AI代理在代码优化中的关键局限：仅基于代码的优化会产生浅显的假设。通过引入研究阶段，包括阅读学术论文、研究竞争项目和后端实现，代理能够发现更深层次的优化机会，实现了显著的性能提升。这表明AI代理需要更广泛的上下文信息才能做出有意义的创新。
The variance is also worth noting: baseline+FA TG has ±19 t/s of noise, while optimized+FA has ±0.59 t/s on x86.
令人惊讶的是：优化后的代码不仅提高了性能，还显著减少了结果方差（从±19 t/s降至±0.59 t/s）。这表明AI代理的优化不仅关注速度，还考虑了内存访问模式的可预测性，这种全面性思维令人印象深刻。
GLM-5.1 pushes this frontier further, delivering 3.6× speedup and continuing to make progress well into the run. While its rate of improvement also slows over time, it sustains useful optimization for substantially longer than GLM-5.
令人惊讶的是：在机器学习工作负载优化任务中，GLM-5.1能够实现3.6倍的速度提升，并且在长时间运行中持续改进，而其他模型很快就会达到性能瓶颈。这种持续优化的能力对于实际应用中的复杂问题解决具有重要意义。
Artificial Analysis has also positioned Gemini 3.1 Flash TTS within its 'most attractive quadrant' for its ideal blend of high-quality speech generation and low cost.
令人惊讶的是：这个模型不仅质量高，而且成本效益也非常出色，在'最具吸引力象限'中占据一席之地。这表明Google在平衡AI性能和商业可行性方面取得了显著突破，这对大多数用户来说是意想不到的。
Co-designed hardware, software, and models are key to delivering the highest AI factory throughput and lowest token cost. Measuring this goes far beyond peak chip specifications.
大多数人认为AI性能主要由芯片规格决定，但作者强调硬件、软件和模型的协同设计才是关键，这挑战了以芯片为中心的行业认知，暗示了全栈优化比单纯追求芯片性能更重要。
why not allow block forwarding without capturing: foo(&) foo(1, 2, &)
It's typically taken for granted that better performance must require higher complexity. But I've often had the experience that making some component of a system faster allows the system as a whole to be simpler
The latest SQLite 3.8.7 alpha version is 50% faster than the 3.7.17 release from 16 months ago. [...] This is 50% faster at the low-level grunt work of moving bits on and off disk and search b-trees. We have achieved this by incorporating hundreds of micro-optimizations. Each micro-optimization might improve the performance by as little as 0.05%. If we get one that improves performance by 0.25%, that is considered a huge win. Each of these optimizations is unmeasurable on a real-world system (we have to use cachegrind to get repeatable run-times) but if you do enough of them, they add up.
Optimization in this case is nothing crazy, just something I neglected while designing the framework.
If a UTF8-encoded Ruby string contains unicode characters, then indexing into that string becomes O(N). This can lead to very bad performance in string_end_with_semicolon?, as it would have to scan through the whole buffer for every single file. This commit fixes it to use UTF32 if there are any non-ascii characters in the files.
What is the point of avoiding the semicolon in concat_javascript_sources
For how detailed and insightful his analysis was -- which didn't elaborate or even touch on his not understanding the reason for adding the semicolon -- it sure appeared like he knew what it was for. Otherwise, the whole issue would/should have been about how he didn't understand that, not on how to keep adding the semicolon but do so in a faster way!
Then again, this comment from 3 months afterwards, indicates he may not think they are even necessary: https://github.com/rails/sprockets/issues/388#issuecomment-252417741
Anyway, just in case he really didn't know, the comment shortly below partly answers the question:
Since the common problem with concatenating JavaScript files is the lack of semicolons, automatically adding one (that, like Sam said, will then be removed by the minifier if it's unnecessary) seems on the surface to be a perfectly fine speed optimization.
This also alludes to the problem: https://github.com/rails/sprockets/issues/388#issuecomment-257312994
But the explicit answer/explanation to this question still remains unspoken: because if you don't add them between concatenated files -- as I discovered just to day -- you will run into this error:
(intermediate value)(...) is not a function
at something.source.js:1
, apparently because when it concatenated those 2 files together, it tried to evaluate it as:
({
// other.js
})()
(function() {
// something.js
})();
It makes sense that a ; is needed.
And no need to walk backwards through all these strings which is surprisingly inefficient in Ruby.
Since the common problem with concatenating JavaScript files is the lack of semicolons, automatically adding one (that, like Sam said, will then be removed by the minifier if it's unnecessary) seems on the surface to be a perfectly fine speed optimization.
reducing it down to one call significantly speeds up the operation.
I feel like the walk in string_end_with_semicolon? is unnecessarily expensive when having an extra semicolon doesn't invalidate any JavaScript syntax.
The template language's restrictions compared to JavaScript/JSX-built views are part of Svelte's performance story. It's able to optimize things ahead of time that are impossible with dynamic code because of the constraints. Here's a couple tweets from the author about that
It's fast. The Dart VM is highly optimized, and getting faster all the time (for the latest performance numbers, see perf.md). It's much faster than Ruby, and close to par with C++.
In the vast majority of cases there’s nothing wrong about wasted renders. They take so little resources that it is simply undetectable for a human eye. In fact, comparing each component’s props to its previous props shallowly (I’m not even talking about deeply) can be more resource extensive then simply re-rendering the entire subtree.
In some frameworks you may see recommendations to avoid inline event handlers for performance reasons, particularly inside loops. That advice doesn't apply to Svelte — the compiler will always do the right thing, whichever form you choose.