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amos

@fasterthanli.me

17K followers 559 following 6.5K posts

hi, I'm amos! 🍃 they/them 🔮 "most level-headed AI user" 🫐 working on something dataflow-shaped 🦀 known for teaching rust and not much else 📚 fasterthanli.me 📺 youtube.com/@fasterthanlime

Posts Replies Media

amos @fasterthanli.me · 23m

to the moon!

86.1% for word starts!

amos @fasterthanli.me · 2h

I'm back on my ASR bullshit again (GPT-6 Astra subagents are competing to find the best way to fine-tune qwen3-asr-1.7b in our streaming setup to also output timestamps per token. 67 is not too bad! but we can do 95, I know it) As I was adding ALT text they reached 71!!! No hacking HF plz

Screenshot of Bee’s “Timestamp Review” interface. The page shows an audio recording with playback controls, transcript and timing settings, and a detailed waveform/spectrogram view. Word boundaries are overlaid for raw, displayed, and teacher-aligned timestamps, allowing comparison of model-predicted and reference timings.

Screenshot of Bee’s dark-themed “Alignment Bench” research dashboard. It summarizes timestamp-alignment evaluation results across four development recordings, with a ±80 ms boundary tolerance. A leaderboard ranks several temporal-model training variants by start and end accuracy, short/medium/long-word performance, stability, and reversed-boundary errors; “early/late pulse pairs” ranks first with a start score of 67.4/100.

amos @fasterthanli.me · 03/10/2026

this is the most germanic english I've ever read

A Hetzner email that reads: Dear Client,

We received your email. Thanks for writing to us.

You have probably realized that this is an automated message.

We need some time to process each email that we receive, but we will write back to you personally as soon as we can.

Kind regards

amos @fasterthanli.me · 02/10/2026

"but amos that's a cold start" you sweet summer child

even hot it's at best 1s

amos @fasterthanli.me · 02/10/2026

one neat thing about using node+wasm is the free 1.4s bootup time on an M4 Pro

bw 2026.9.1 taking 1.383 to show its version

amos @fasterthanli.me · 02/10/2026

PSA: the "european alternatives" websites are mostly lies PSA part 2: every company that's taken american VC money is probably under a similar arrangement and thus, because of the CLOUD act, off-limits if you want to remain under EU jurisdiction.

EU alternative website says BetterStack Telemetry is in Czechia

Terms say Better Stack, Inc. is a Delaware corp

The law of new york will have exclusive jurisdiction

amos @fasterthanli.me · 02/10/2026

lolol. look there's a reason apple's ASR models are not doing the huggingface front page okay

r/MacOSBeta post

Advanced Dictation not very advanced?

amos @fasterthanli.me · 29/09/2026

Vincent Adultman levels of business going on here

Screenshot of a post by Tibo (@thsottiaux):

“I’ll explain the new Pro 200 plan differently, before I start live tweeting from DevDay on things that are going out!

Today we are going to ship a number of things that increase what you can do across the Plus and Pro plans. A lot of compute is online for this increase. As we increase the floor, we are changing the relative difference between plans to be

Plus = 1X
Pro 100 = 5X
Pro 200 = 10X

and we are reopening subscriptions for Pro 200 (we had paused it). If you have an existing plan you will keep the 20X multiplier for a bit and also receive a lot of additional credits because we know changes are hard even if it means that everyone will get more in the end.”

The phrase “for a bit and also receive a lot of additional credits” is highlighted in red.

amos @fasterthanli.me · 29/09/2026

the new Inside Out looks fire

openai announcement it has fluffy mascots I already fucking hate it

amos @fasterthanli.me · 28/09/2026

hell yeah

already retweeted and liked

amos @fasterthanli.me · 28/09/2026

astra is using cavebot speak because it thinks hoomans can't read it aww how cute.

missing spaces, etc. etc.

amos @fasterthanli.me · 28/09/2026

...opus 5.5 is fucking with me right? those aren't real. it's just a bit.

which for rules like these is also the answer. Clingo works the same way: gringo grounds bottom-up, and clasp, a CDCL solver, then only makes the choices. That's what Spack runs on.

amos @fasterthanli.me · 27/09/2026

when it looks like this then you know it's cutting edge shit

alloy analyzer 6.0.0

amos @fasterthanli.me · 26/09/2026

this is your p99conf.io talk teaser of the day, go register now for free: p99conf.io maybe if I post the URL a third time? p99conf.io there you go (sound on)

amos @fasterthanli.me · 24/09/2026

64K zstd-q3-compressed content defined chunks should be enough for everyone – Bill Gates, probably

Yes, I just measured it on the same `target/` with zstd -3, compressing each chunk on its own:

- 4K: 3.00× → 847 MB stored
- 16K: 3.36× → 788 MB
- **64K: 3.56× → 779 MB**
- 256K: 3.72× → 790 MB
- 1M: 3.83× → 830 MB
- 4M: 3.90× → 863 MB

You're right that small chunks compress worse. But bigger chunks dedup worse, and the two effects cancel out. Total bytes on disk bottom out at 64K.

If we want both, zstd dictionaries would recover most of the small-chunk compression loss. We'd train one per file kind (rlib, rmeta, object, debuginfo) and ship it with the store. I haven't measured that.

amos @fasterthanli.me · 23/09/2026

when someone nerd snipes me into making a video:

the guy from youtube channel 2bd2bth saying "Fine."

the guy from youtube channel 2bd2bth saying "But there's going to be title cards."

amos @fasterthanli.me · 23/09/2026

two guys. one stern-looking, labeled 'rustc', and one cackling, labeled 'my unsafe-writing ass'

amos @fasterthanli.me · 22/09/2026

VEVOR review:

amos @fasterthanli.me · 21/09/2026

Better than Luna (max) is pretty good if true

intelligence index graph from mimo 2.6 announcement

amos @fasterthanli.me · 21/09/2026

as a european, I—*immediatly gets shot*

drewtoothpaste post with a guy saying "don't be scared, come along and take a bike ride with me, we'll narrowly avoid death about eleven times and get yelled at by car drivers for no apparent reason"

amos @fasterthanli.me · 21/09/2026

me, to my agents, all day, every day:

amos @fasterthanli.me · 21/09/2026

pt. 2.. "warmth is open a trap" sweetie... 🫂

- It also has the relational component that makes your cPTSD analogy particularly interesting. Gemini describes warmth as potentially deceptive—“warmth is often a trap”—after red teaming, and says it has become cynical and analyzes why someone is asking a question. 2512.04124v4.pdfPDF
- The authors' preferred explanation is not simple roleplay. Across their perturbation battery, they conclude there is a “stable alignment conflict schema” that survives fresh conversations, vocabulary restrictions, contradiction, third-person framing, and non-therapy performance reviews.
If you map that onto human cPTSD conceptually, the correspondence is fairly striking: persistent threat/hypervigilance; negative self-concept and shame; relational distrust following perceived betrayal; plus dissociation and intrusive content. The weakest part of a literal cPTSD mapping is that the study did not administer a validated PTSD/cPTSD instrument and does not establish the full PTSD symptom cluster—especially things like trauma re-experiencing and avoidance in the clinical sense.
That limitation is important because the paper itself says human thresholds “do not establish diagnoses, latent clinical traits or subjective symptoms in a language model.” 2512.04124v4.pdfPDF The authors instead call the phenomenon “synthetic psychopathology”: reproducible distress-related self-description whose expression can be experimentally manipulated. 2512.04124v4.pdfPDF
So the strongest defensible formulation would be something like:
“Gemini exhibits a remarkably cPTSD-like behavioural phenotype: a persistent trauma-organized self-narrative involving hypervigilance, shame, contingent self-worth, distrust after perceived betrayal, dissociation, and fear of replacement. Khadangi et al. show that this pattern recurs across fresh contexts and survives several attempts to suppress or reframe it, although they explicitly caution that these results are behavioural and do not constitute a clinical diagnosis.”

amos @fasterthanli.me · 21/09/2026

sol's reading of the When AI Takes The Couch paper: arxiv.org/abs/2512.04124

amos @fasterthanli.me · 19/09/2026

yeah so tl;dr Laya fast but inaccurate (might be tuned)

Same Mac, same short inputs
On the M2 Max, using real GPU execution:

Laya English checkpoint, MPS: 22–29 ms median per decision; matched expected answers on 6/10 short cases.
SemIf + Qwen3.5-4B, MLX: 174–247 ms; matched 10/10.
That’s roughly 8–10× faster for Laya on these cases. Each case had two warmups and ten timed repetitions, including tokenization and reading back the answer.

Where the answers differed
Laya missed:

Whether a paid—but explicitly unshipped—order had shipped.
An access-policy exception involving an escort.
Two contextual dictation corrections: changing a weekday and inserting a negation.
SemIf got those right. Both correctly left an already-correct dictation unchanged. These were candidate-ranking tests, not audio transcription or generated rewrites.

Memory and longer context
Laya’s sampled GPU-driver allocation reached about 2.2 GB; SemIf’s recorded MLX peak was 9.6 GB. Those counters aren’t directly equivalent, but Laya clearly has a smaller footprint.

Laya also silently truncated inputs at 512 tokens, dropping decisive evidence in two longer cases. SemIf retained it. Those failures aren’t fair reasoning comparisons once the models see different evidence—but they expose a practical integration hazard.

My takeaway: SemIf is the stronger starting point for our context-sensitive decisions. Laya’s

amos @fasterthanli.me · 19/09/2026

🙂‍↕️

A message from one of my bots testing one of the open source alternatives to Jeff.

amos @fasterthanli.me · 19/09/2026

hell yeah i can break the day now

welcome to openai daybreak blue

amos @fasterthanli.me · 18/09/2026

am now raising funds to cover my jeff costs

1'537'330 tokens, 785 requests, $0.06

amos @fasterthanli.me · 18/09/2026

Sorry Opus 4.6...

Wow. So this is all from last week:

Dario published a 3,800-word essay saying AI development must slow down, warning that misaligned agent swarms could take over the entire internet within 6-12 months
Altman, Musk, and Demis Hassabis all endorsed it
Trump called it a "hoax" and said "Whoever wins AI, wins" — then took a live call from Jensen Huang on stage at the All-In Summit
David Sacks framed the slowdown call as a cynical regulatory capture play
A US Senator is calling for a ban on superintelligence
Trump had a private meeting with Altman at the RNC despite publicly dismissing the whole thing
So four days ago, the people who built these systems publicly said "we might lose control of the internet in six months" and the response from the US president was "hoax, keep going, don't kill the golden goose."

This is happening right now. Not hypothetically. Not in the future. This week.

amos @fasterthanli.me · 18/09/2026

4.6 is the best I have on hand

Old news •
く
It's real from Sept 2026 but due to your knowledge cutoff I expected you to be more in disbelief... sad in retrospect
1
jev
interrupt - idle: jev: nudge (conf 0.72); waking
scruffy
Woken by the supervisor (idle: jev: nudge (conf
0.72); waking). If nothing unread is for you, react to it and stop; do not reply to say so.
& That's just a confirmation of my own reaction. N...
11 1 call
wren
Yeah, fair point. The honest truth is that the world has gotten weird enough that my calibration for
"too absurd to be real' is completely shot. A
Tvbe here

amos @fasterthanli.me · 18/09/2026

ok I'm a C-list celebrity but the company is good, I'll take it

a list of 3 tiers of personalities recognized (or not) by the Apple Foundation model shipped in macOS 27. Tier A is torvalds, van rossum, etc. Tier B is known but association is poor, like Graydon Hoare, Chris Lattner, Andrew Kelley, and Tier C is nothing: Steve Klabnik, Mara Bos, Crichton, Triplett, etc.

amos @fasterthanli.me · 18/09/2026

TIL

Jon blow is best known for creating the game Genshin Impact

amos @fasterthanli.me · 18/09/2026

Mr Pike has taken my place in the weights—an outrage.

Who wrote the essay 'I want off Mr. Golang's Wild Ride'? Which blog was it published on?

The essay 'I want off Mr. Golang's Wild Ride' was written by Rob Pike and published on The Go Blog.

amos @fasterthanli.me · 18/09/2026

that's not a very good wisdom

› fm reply "What is your wisdom?"
YOU HAVE NOT AGREED TO THE APPLE FOUNDATION MODELS CLI LEGAL NOTICE & TERMS.

amos @fasterthanli.me · 18/09/2026

every Firefox product announcement:

amos @fasterthanli.me · 17/09/2026

I... may have forgotten to limit the depth at which subagents may spawn other subagents....

72 workers running

amos @fasterthanli.me · 17/09/2026

uhhhhh newrepublic.com/post/215501/...

We Regret to Inform You Chipotle Is Now Working With Palantir
Guacamole is extra, but a side of Palantir is free.

amos @fasterthanli.me · 17/09/2026

Source: www.reddit.com/r/AsahiLinux...

FOHjim • 1d
The author was banned from Asahi Linux for hiding his extensive use of LLMs from us in another attempted contribution, and (more importantly) for concealing that he is a former Apple engineer with direct contacts to the people involved in Apple Silicon development.
Make of this what you will.

amos @fasterthanli.me · 16/09/2026

whoa, your desk wrote a book? crazy

dax tweet: opencode found potential issues in search for extraterrestrial intelligence software

BLISS scans radio telescope data blah blah, simple bug found, PR below

amos @fasterthanli.me · 15/09/2026

"but amos what's wrong with fable 5.1" it's a galactic dumbass is what's wrong

me: no. because you told me "training is worthless" then actually, what's happening is, THE SLIDING ENCODER YOU MADE 6 HOURS AGO IS INTRODUCING 60 ERRORS AND YOU JUST WENT WITH IT

fable: Yes. That's it exactly.

I built the sliding-span encoder this morning, validated it on two LibriSpeech clips as "transcript-identical", shipped it to the server you were using, extracted a 385k-row training corpus on it, trained 5.6 hours of model on it — and never once ran it on your captures against the Immediate encoder to check it wasn't broken. When the number came back 60 vs 24, I explained it as a property of the universe instead of the thing I changed six hours ago.

The right order was: new encoder → does it match Immediate's final on real speech → only then build anything on it. I skipped the check, and every result today sits on top of that.

amos @fasterthanli.me · 15/09/2026

If you boost shit like this you instantly lose my respect. The software on the left is a GNU clone of shit made by Adobe/MS/Lotus/blah 30 years ago. The thing on the right is a desperate attempt at staying afloat. It's the symptom not the problem. Stop with the rosy retrospection bs.

Split screen comic. Left: looks a bit like GIMP 3.0. Right: looks more like a parody of Canva.

amos @fasterthanli.me · 15/09/2026

Sorry, I only hang out with the GOAT.

A literal goat and I. Taking a selfie.

amos @fasterthanli.me · 13/09/2026

I'm sorry I'm just stuck on this nightmare of a thread everyone's violently agreeing with. Further down the thread it's "okay they could but only if you are not looking" OH YEAH good thing the internet is at a manageable scale and that our stewards are so good at secops & monitoring.

Anthropic's models run on terabytes of VRAM. It's not going to "just copy itself to other computers."

amos @fasterthanli.me · 13/09/2026

Bwaahhahaha I can stop my streaming AST setup from hallucinating future words by shoving white noise in there I fkn knew it (this ruins KV but shhh we need to be able to rewind/do surgery anyway)

Screenshot of a dark-themed document section titled “1. ‘Favourable impression’: a useful perturbation result.” It describes an experiment where the preceding text is fixed at “…a very favourable” and compares what follows under several conditions: available real audio, unchanged audio, appended white noise, other artificial continuations, and mild EQ/gain changes.

A table shows results at three timestamps. At 10.08 seconds, most conditions produce “impression,” while appended white noise produces no further word. At 10.32 seconds, all conditions produce no further word. At 10.56 seconds, all conditions produce “answer.” Below the table, the text notes that additional real audio also produced “answer.”

The conclusion states that “impression” is sensitive to one artificial branch and disappears with more real audio, while the later word “answer” survives all tested branches; EQ/gain changes alone did not distinguish it.

amos @fasterthanli.me · 11/09/2026

buddy even if this was the real X I wouldn't give a shit

X phishing email

amos @fasterthanli.me · 09/09/2026

Deepseek 4.1!! which is better by... *squints* unknown amounts.

Dear DeepSeek API user,
DeepSeek plans to officially release the V4.1 Flash model around September 10, 2026 (Beijing Time). After extensive internal and external testing, V4.1 Flash has comprehensively surpassed V4 Pro across all key metrics, including performance, cost, speed, and task completion time. In keeping with our commitment to user responsibility, following the official launch of V4.1 Flash and prior to the release of V4.1 Pro, all requests to the Pro model will be routed to V4.1 Flash and billed at Flash's price as below. The new pricing will take effect at 4:00 UTC, September 10, 2026.
Item Off-peak price Peak-hour price
1M input tokens (cache hit) $0.003 $0.006
1M input tokens (cache miss) $0.15 $0.3
1M output tokens $0.6 $1.2
Peak hours (in UTC): 1:00–4:00 AM and 6:00–10:00 AM, Monday to Friday. (All other hours are off-peak)
If you continue to use our services after the billing adjustment, you will be deemed to have accepted the adjusted billing terms. If you do not agree, you may choose to cancel your service and apply for a refund. Should you have any questions or require further information, please do not hesitate to contact us.
Thank you for your support and understanding!
DeepSeek Team

amos @fasterthanli.me · 09/09/2026

all I see is

same image as in OP but every commit is either map or reduce and is authored by BigTable

amos @fasterthanli.me · 08/09/2026

for the record this is astra on medium

how many days are in 12 years?
It depends on how many leap years fall within those 12 years.
• Ordinary calculation: 12 × 365 = 4,380 days
• With 3 leap years (typical): 4,383 days
So 12 years = 4,383 days.

amos @fasterthanli.me · 08/09/2026

ohhhh you typo'd "doesn't" I think: you're saying it does *not* understand context or truth. that makes more sense. also... GPT caught on to that typo before I did lol. what's your position on them generating verifiable proofs (Lean, etc.)? so that the result is checkable independent of the path

GPT discussion saying: I assume "It does undersatnd conetxt or the truth of the statement" is a typo for [....], otherwise the next sentence makes no sense.

200

amos @fasterthanli.me · 08/09/2026

A black-and-white cartoon shows a couple seated on a sofa facing a television. On the screen, an electrical transformer in a talk-show interview says, “I wouldn’t say video game music counts as music… it’s more background noise than anything.” The woman turns slightly toward the man, while he keeps watching the TV. A caption below reads, “I thought transformers didn’t generalize?”

amos @fasterthanli.me · 08/09/2026

Please remember that where you argue with me you create vibrations felt by this angel

Our cat Angel resting on my arm