AI Explained
Plain explanations of trending AI concepts, with live visualizations.
AWS open-sources an agent stack that watches behavior and infrastructure separately — Behavioral vs infrastructural telemetry — What does it mean?
Infra telemetry proves an agent ran; behavioral telemetry proves it was right. Agents fail the second way while the first stays green.
Stream an 8B MoE from SSD in 1 GiB active memory — One-step-ahead expert prerouting — What does it mean?
Predict the next token's experts one step early so the SSD read hides under the current forward pass.
TAM benchmark — Exact-match scoring over long procedural rule chains — What does it mean?
TAM grades the whole rule chain, not the steps: 1% exact match on ICD-10-CM coding, 15.5% on sentencing.
Qwen3.8-Flash-Next widens the residual stream into four gated branches — Gated Residual — What does it mean?
Qwen splits the transformer's shared residual stream into four branches and gates which ones each layer reads and writes.
Qwen3.8-Flash-Next adds 51B of embeddings that can live off the GPU — N-gram embedding offload — What does it mean?
Qwen puts 51B parameters in an n-gram-keyed lookup table and moves it off the GPU, prefetching rows over PCIe.
SQD splits decode by attention type, not by operator — Attention-type decode partitioning — What does it mean?
SQD cuts decode by attention complexity, so full-KV scanning and fixed-footprint math land on machines sized for each.
MCP SEP-2640 — Progressive skill disclosure — What does it mean?
MCP SEP-2640 puts each skill's frontmatter, digests and file sizes in the listing, so a host can budget before fetching a byte.
LILA prunes LLM neurons without calibration data — Calibration-free structured neuron pruning — What does it mean?
LILA ranks FFN neurons for deletion from the weight matrix alone: a closed-form spectral score, no calibration data, no gradients.
LOCUS cuts LLM output length by up to 39.84% — Utility-constrained length reduction — What does it mean?
LOCUS runs the same preference objective inside a constrained low-rank subspace; answers came out up to 39.84% shorter.
Sparse MoEs overfit repeated data sooner than dense models — Data-repetition tolerance — What does it mean?
MoEs start degrading at 4 data passes, dense models hold past 8, and MoEs fall behind dense after 32. Strong masking holds the lead past 64.
REVA cuts RAG compression overhead up to 15.6× — Document-keyed evidence views — What does it mean?
REVA scores a document once from past generator attention, then serves any token budget from that store — no compressor pass per query.
RTK reported 89% token savings and DeepSeek's cost rose 17% — Turn amplification — What does it mean?
RTK reported 89% token savings. DeepSeek's per-task cost still rose 17%, because thinner turns bought more turns.