Chia sẻ kiến thức công nghệ chuyên sâu
Two real machine translation errors from my database, caused by two completely different reasons—and only one of them can be fixed by switching translation services. I’ve included the solution I tested: 137 dictionary entries and a three-line check that caught errors the human eye missed.
Google One, iCloud+, OneDrive, Dropbox, Proton, pCloud, Sync, Mega, B2, Wasabi, R2, S3, Hetzner, and self-hosted NAS: choose based on the type of work, devices, and team size; actual costs, including egress and exit fees; the break-even point between renting and buying.
Download recordings directly from an Imou camera’s memory card over a local network using a command-line tool—about ten times faster than real time, with an entire month’s worth of video downloaded in a single command.
Open source does not necessarily mean secure or sustainable. Here’s a quick checklist to go through before you commit to a project.
The price per token remains the same, yet the bill is 25% lower, and the technical notes are full of “returns 400” entries. Read Fable 5.1 through its own API—where every feature that’s been removed is a design decision.
Every AI-generated image starts with a noise image, and that noise image is determined by exactly one number. In real-world testing: the 275 retained images consumed 421 GPU cycles, while the seed space was smooth in sections and then broke off.
August 2026 Update: From runtime reasoning and the “DeepSeek moment” to real-world agents—why the race has changed, which economic breakthroughs are fueling the excitement, and trends for 2026–2027.
"Loose moderation" is actually four different things lumped together. When we break them down, we see that the capability comes from pre-training, not from moderation—and Grok sells value, not a technical leap.
The Linux kernel has all the tools needed to manage CPU, RAM, disk, and network resources—but it manages almost nothing related to the GPU, which is the most expensive component in an AI server. Filling that gap are: cgroup dmem, sched_ext, DRA, GPU checkpoints, CXL tiering, microVMs for agents,…
The Linux kernel has all the tools needed to manage CPUs, RAM, disk, and networking—but it does almost nothing to manage GPUs, the most expensive component in an AI server. Filling that gap are: cgroup dmem, sched_ext, DRA, GPU checkpoints, CXL tiering, microVMs for agents, and confidential…
The Linux kernel has all the tools needed to manage CPU, RAM, disk, and network resources—but it does almost nothing to manage the GPU, the most expensive component in an AI server. Filling that gap are: cgroup dmem, sched_ext, DRA, GPU checkpoints, CXL tiering, microVMs for agents, and…
Apple Silicon’s success isn’t due to a single groundbreaking invention, but rather to its control over the entire technology stack—chips, operating systems, compilers, and foundries. The mechanisms behind this, and lessons for other companies.
Starting in early 2026, feature branch throughput skyrocketed while the main branch remained stagnant. Why is code generated by agents harder to review than code written by humans? How are spec-driven processes and sandboxes taking shape? And what has the unit cost of software evolved into?
When code generation is practically free, what’s scarce is the confidence that the code is correct. Why have strict typing and finicky compilers suddenly become an advantage? Why does Python still dominate, and what is the true cost of each faulty loop?
This debate often devolves into an emotional one. When viewed from the perspective of the cost of fixing errors, things become much clearer.
Every approach to the problem of memory deallocation comes at the cost of something else: latency, throughput, or the programmer’s effort.
Prefill causes computational bottlenecks, and decoding causes bandwidth bottlenecks—this mismatch gives rise to PagedAttention, prefix caching, continuous batch merging, predict-and-check, sparse attention, and linear interleaving. This is the algorithmic layer that will determine the true cost…
Prefill causes computational bottlenecks, and decoding causes bandwidth bottlenecks—this mismatch gives rise to PagedAttention, prefix caching, continuous batch merging, predict-and-check, sparse attention, and linear interleaving. This is the algorithmic layer that will determine the true cost…
O(n log n) doesn't always beat O(n²). With small datasets, it's the CPU cache that makes the difference, not the formula.
Dictionaries in every language are hash tables. Understanding how they handle collisions is key to understanding why they can sometimes be unusually slow.
Three chips on a single circuit board represent three different work philosophies—and align perfectly with the four ways humanity has delegated tasks to machines. The true boundary does not lie between the body and the mind.
Why RAM Prices Will Skyrocket in 2025–2026: AI’s economic breakthrough is driving HBM demand to unprecedented heights, supply is constrained by physical and time-related limitations, and why the industry must ease the pressure on the bottleneck rather than try to force it open.
Mastering the entire technology stack, or dominating just one layer and selling to everyone—two opposing strategies addressing the same question: where does value lie? Along with the cycle of consolidation and fragmentation, and the directions that remain to be explored.
The monthly inflation figures that are released often differ from your own perception. Neither is wrong—they measure two different things.
