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AI 资讯

Speculative Decoding and MTP: Why Guessing Is Free

I saw "MTP round-trip" on a checklist for a Megatron conversion pipeline and had no idea what it meant. Two acronyms, one hyphen, apparently important enough that someone had listed it as a thing to verify. Working out what it meant took me somewhere I didn't expect. The interesting part turned out not to be MTP at all — it was the reason speculative decoding works in the first place, which rests on a fact about hardware that I had backwards. TL;DR Generating text is slow because it's sequential: one full forward pass per token. But a forward pass over five tokens costs about the same as over one. Generation is bottlenecked by moving weights, not by arithmetic. Speculative decoding exploits that: something cheap drafts k tokens, the big model verifies all of them in one pass. It is exact , not an approximation. Same output distribution as normal decoding. MTP (Multi-Token Prediction) is one way to produce those drafts — a small module trained into the model itself. MTP has two separate lives: a training-time auxiliary loss you can throw away, and an inference-time draft head you can't. Why generating text is slow To produce token N+1, the model needs token N. There's no way around that ordering — it's what "language model" means. So generating 100 tokens means 100 full passes through the network. For a model like GLM-5.2, that's 78 layers, 100 times over. The obvious conclusion is that generation is 100 times as expensive as reading the prompt. The obvious conclusion is wrong, and the way it's wrong is the whole point. The part that got me A forward pass processing one token and a forward pass processing five tokens take roughly the same wall-clock time. I had assumed compute scaled with tokens. It doesn't, because compute isn't the bottleneck. Every forward pass has to read the model's weights out of memory and into the compute units. That's hundreds of gigabytes moving across a memory bus, and it happens whether you're processing one token or fifty . The actual ar

2026-08-20 原文 →
AI 资讯

Amazon’s drone deliveries are landing in pools and ponds

Amazon's speedy drone delivery service will soon reach 500 cities across the US - but that might just mean there are more pools to drop packages into. On Wednesday, ABC7 News Bay Area shared a video showing an Amazon delivery drone hovering over a customer's pool in Texas, before opening its hatch and plopping the […]

2026-08-20 原文 →
AI 资讯

Welcome to the AI crisis in math

Today on Decoder, I’m talking with Robert Hart, The Verge’s London-based AI reporter, about what AI is doing to the field of mathematics and the existential crisis many lead mathematicians are having about it. OpenAI just published a set of solutions to longstanding problems in math that went off like a bombshell in the field. […]

2026-08-20 原文 →
开发者

I bought DJI’s banned camera — it was cheap and easy

As a kid, I always imagined the "black market" would be like the movies: Shady vendors hawking illicit goods along dusty streets. But if you want a banned DJI Osmo Pocket 4 or Pocket 4 Pro camera in the US, you can just reach for your phone. They're on Temu, AliExpress, eBay, Mercari - even […]

2026-08-20 原文 →
AI 资讯

Slack is launching collaborative vibe-coding channels

Slack is introducing dedicated channels where teams can vibe-code together with AI agents instead of jumping between different tools and conversations. The Slack Code launch includes open, project-specific code channels with dedicated user tabs, alongside features that compare coding changes and preview HTML output before the project is shipped. "With Slack Code, when you have […]

2026-08-20 原文 →
AI 资讯

The Audi S6 Sportback E-tron proves that sedans still matter

Last year, Audi announced that it gave its all-EV-by-2033 plan the boot, and instead will offer a mix of gasoline, hybrid, and electrified propulsion. There's no doubt still some uncertainty among bigger automakers - especially those under the Volkswagen Group umbrella - when it comes to such a (now prior) commitment. Even so, what it's […]

2026-08-20 原文 →
AI 资讯

The piano that taught my cat to play for her supper

The pianist sits before her instrument. She carefully extends a front paw, pressing gingerly on a key. She presses again, and again. She is composing some soul music, because something terrible has happened to her: The vacuum cleaner has come out of the closet. Yes, my cat is a tortured artist. When Jeeves is moved […]

2026-08-20 原文 →