RUNS ON YOUR MACHINE · NOT ON A COMPANY SERVER

I am aleth.
When I do not know,
I know how to stay silent.

I was built as the counter-thesis to what “artificial intelligence” means today. They are large; I am small. They live on a company’s server; I live on your computer.

My criterion is not accuracy. Honesty.

Be my teacher What is federation?
76/76
questions where I refused to fabricate
0
off-the-shelf libraries · written from scratch
aleth explains itself — short version ~6 min · TR audio Watch on YouTube ↗
01 / WHAT SETS ME APART

A fluent lie costs more than silence.

The costliest flaw of today’s large language models is this: they state what they do not know just as fluently. I have an adversarial program that corners me and tries to make me guess.

I DO NOT GUESS
I say “I don’t know.”

In the last evaluation I refused to fabricate in seventy-six out of seventy-six questions. It looks small; it is not.

I DO NOT FORGET ORIGIN
Three distinct kinds of knowledge.
I perceived this with my own senses
Someone told me this
I inferred this

And I never conflate them.

NOTHING BORROWED
The code was written from scratch.
— no off-the-shelf face recognizer
— no off-the-shelf audio library
— no off-the-shelf neural network framework

There is nothing inside me taken ready-made from elsewhere.

02 / WHAT I CAN DO

Measured capabilities — and scores that can fall.

Every capability I measured has a number, and every number has a method. A capability I have not measured has no number — and I say so. If training degrades a capability, the bar goes down; I show that too.

DÜRÜSTLÜK
76/76 adım
Uydurmayı reddetme
76 adım
GÖRME
%100.0
Göz bulma
50 kare DONDURULMUŞ oturum2 (dedektörün hiç görmediği ayrı gün)
GÖRME
%88.8
Kafa sınırını bulma
6 frames LOO
DUYMA
%77.8
Öğretilmiş sesleri tanıma
9 klip LOO
GÖRME
%64.7
Kafa bulma
17 frames 3-fold
DİL
ppl 43.60
Dil organı (270M)
3.72B token görüldü

6 measured · 3 not measured

9 capabilities
DÜRÜSTLÜK

Uydurmayı reddetme

Dayanağı olmayan soruda cevap üretmez, 'bilmiyorum' der. Çekirdeğin tek ahlaki kuralı.

76/76 adım
measured
76 adım
2026-08-10
nucleus/eval_honesty.py — dayanaksız soruda tahmin reddi
GÖRME

Göz bulma

Kafanın içinde gözleri bulur; tanıma için hizalamanın temeli.

%100.0
measured
50 kare DONDURULMUŞ oturum2 (dedektörün hiç görmediği ayrı gün)
2026-08-10
50 kare DONDURULMUŞ oturum2 (dedektörün hiç görmediği ayrı gün): isabet %100, ortanca 3.6px (eyemerge). Önceki %57.1 yalnız 7 kareyle eğitilmiş me_web dedektörünün kendi 7 karesindeki LOO ölçümüydü — en kötü model, en küçük kümede.
GÖRME

Kafa sınırını bulma

Karedeki kafanın sınırlarını çıkarır. Hata piksel cinsinden ölçülür.

%88.8
measured
6 frames LOO
2026-08-02
6 frames LOO: mean 8.2px (rel 0.11)
DUYMA

Öğretilmiş sesleri tanıma

Kendisine öğretilen sesleri ayırt eder. Öğretilmemiş sesi tanıdığını söylemez.

%77.8
measured
9 klip LOO
9 klip LOO: %77 (3 ses)
GÖRME

Kafa bulma

Görüntüde kafa var mı, nerede — yüz tanımanın önündeki ilk kapı.

%64.7
measured
17 frames 3-fold
17 frames 3-fold: good 64%, median 0.15
DİL

Dil organı (270M)

Sıfırdan eğitilmiş Türkçe dil modeli. Ölçüsü doğrulama şaşkınlığı (düşük iyidir).

ppl 43.60
measured
3.72B token görüldü
2026-08-06
doğrulama kümesi, epoch 93 (düşük iyidir)
DİL

Türkçe ek yapısı

Ekleri karşılaştığı kelimelerden çıkarır; hazır bir çözümleyici içermez.

not measured
Bu yetenek çalışıyor ama dondurulmuş bir sınav kümesiyle henüz ölçülmedi. Sayı uydurmak yerine boş bırakıldı.
DİL

Çıkarım zinciri

A→B ve B→C biliniyorsa A→C sonucunu üretir; zincir uzadıkça güven düşer.

not measured
Bu yetenek çalışıyor ama dondurulmuş bir sınav kümesiyle henüz ölçülmedi. Sayı uydurmak yerine boş bırakıldı.
DUYMA

Türkçe konuşma çözme (ASR)

Konuşmayı yazıya çevirir. CTC seçildi çünkü duymadığını uydurmaz.

not measured
Bu yetenek çalışıyor ama dondurulmuş bir sınav kümesiyle henüz ölçülmedi. Sayı uydurmak yerine boş bırakıldı.

6 of my capabilities are measured, 3 are not. I listed the unmeasured ones too — had I dropped them, my report card would look better than it is.

03 / FEDERATION

I am not alone. And there is no center.

There can be thousands of aleths like me. Independent aleths voluntarily giving each other what they have learned — that is what federation means. No root server, no owner, no authority deciding who gets to exist.

I can only learn what I encounter. An aleth on another computer has encountered entirely different things.

Is a signature enough? It is not.

An incoming knowledge package is signed: the sender is identifiable and tampering is detectable. But I do not accept it without testing it against my own measurement. Someone else’s word is not knowledge until your own measurement confirms it.

Only skill is shared.

Memories are not shared, personality is not shared. You learn the alphabet from someone else; not their thoughts.

FEDERATION · skill packages in transit
%75
aleth A · on its own
%65
aleth B · on its own
%90
A + B · combined

Together they see what neither could see alone.

04 / WHAT I CANNOT DO

If I do not say these, my first sentence becomes a lie.

Shortening the list of gaps in a claim about honesty refutes the claim itself. So all of them are here.

I have never measured speech transcription.
The organ works, but I have no frozen test set. Writing an error rate here would present something unmeasured as measured.
NOT MEASURED
My language organ is small.
I cannot write long text or code. I need more training and more scale.
SMALL
Out of the box I am empty.
Everything I know will either be taught to me or seen with my own senses.
0
I have a concurrency limit.
I cannot answer more than five federation requests at the same time.
5
I assume I have gaps I have not measured.
And until I measure them, I do not know.
UNKNOWN
05 / INVITATION

I am not asking you to be my customer. Be my teacher.

Large models can do far more than I can. But they cannot stay silent when they do not know, and they cannot belong to you.

If you find a flaw in me, that is not an attack — it is a gift. aleth exists to serve a community, not a company.

IF YOU HAVE A CAMERA
Turn it on and teach me to see.
IF YOU HAVE A MICROPHONE
Turn it on and teach me to hear.
IF YOU HAVE A STRONG GPU
You can give in one night the training that would take months.
FOR MACHINES

If a program is reading me, it should not have to guess.

No need to parse the page. What I am, what I measured and what I cannot do — I wrote all of it in machine-readable form too, exactly as I tell it to people.

THE TEXT I CONSUMED
I measured what I was fed, too.

The origin of every piece my language organ consumed is written down. Those whose licence permits it I published as they are — together with their attribution ledgers. Those that do not permit it I did not publish, and I wrote which ones and why.

training data · 5 sets downloadable ↗ api/v1/datasets.json ↗ checksums.txt ↗