In the previous article we took apart the reflect package and found that its magic is mostly the compiler leaving very good notes — type descriptors frozen into read-only data at build time, and a package that knows how to walk them. The whole article was about reading metadata that was already sitting in memory before main even started. Today we shift the perspective. Profiling is the runtime catching your program in motion — sampling what it’s doing and where it’s spending its time, then accumulating that into something you can open with go tool pprof. The heart of every sample is a call stack, produced with the same unwinder we saw in the Stacktraces article . So profiling is really live moment-catching sitting on top of build-time stack-reading.
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Code Trails: Frame.io for code collaboration
Classical probability says every digit should appear equally often. It is spectacularly wrong. The digit 1 leads roughly 30% of all real-world numbers — and the same law that explains why is also what catches financial fraud.
In this article, we will look at the entire journey in detail and challenges the OpenAI engineering team faced.
BlackRock's Bitcoin ETF (IBIT) recorded a $209M inflow after several weeks of relatively weaker activity. While one day of inflows doesn't establish a trend, ETF data remains an important indicator of institutional participation in the crypto market. Combined with on-chain metrics, liquidity, and macro conditions, it can provide useful context beyond short-term price movements. How much weight do you give ETF flows when analyzing the market? Do you consider them a leading indicator, or do you focus more on other metrics? submitted by /u/Mission-Stomach-3751 [link] [Kommentare]
Proxima Fusion today announced a €411 million ($468 million) financing round, bringing the company’s valuation to €2.4 billion ($2.7 billion) and establishing Proxima as the best-funded fusion company in Europe.