Autark Data · Thomas Riepe

P(T) = F(H, R, K, L, E, X ; T)

00 ·

01 ·

819 GB/s

≈26–28

10¹⁴

10¹⁵

02 · Toy compute

≈8.3×10¹¹
≈2.3×10¹²
Marmoset≈7.4×10¹²
M3 Ultra≈26–28 TFLOP/s FP162.6–2.8×10¹³
Macaca≈7.4×10¹³
H. sapiens10¹⁵
Hypothetischer 50-g-Primat: lokale KI zwischen Marmoset und Makak / Hypothetical 50 g primate: local AI between marmoset and macaque

03 · Hominins

A. afarensis≈446 ml≈3.4–3.8×10¹⁴
H. habilis≈609 ml≈4.6–5.0×10¹⁴
≈825 ml≈6.2–6.6×10¹⁴
≈959 ml≈7.2–7.5×10¹⁴
H. heidelbergensis s.l.≈1227 ml≈9.2–9.3×10¹⁴
≈1415 ml≈1.06×10¹⁵
≈1499 ml≈1.11–1.13×10¹⁵
≈1330 ml10¹⁵

04 ·

R

K

L

E

Embodiment

X

04B ·

48

≈300

91,67%

100%

≈202 GiB

Qwen3 235B MoE
DeepSeek-R1 70B
Qwen3.6 35B-A3B
DSV4-Flash
R1 671B

CIUT
R1 70B1253420/24 = 83.3%
R1 671B1320915/24 = 62.5%

05 ·

LLMoffline training → inference

06 ·

H. erectus

H. erectus

H. erectus

P(T) = F(H, R, K, L, E, X ; T)
07 ·

  • Qwen3 235B-A22B · ≈22B
  • DeepSeek-R1 Distill 70B · dense
  • Qwen3.6 35B-A3B ·
  • DSV4-Flash · Long-context / Diversity / Fallback
  • DeepSeek-R1-0528 671B ·
  • · ≈40B
→

  • health probes
→

  • Neo4j Knowledge Graph
  • SageMath · PARI/GP · Macaulay2
  • Lean 4 · Julia
  • SearXNG /

≈2 ×
≈44

GFLOP/token*

Qwen3-235B-A22B

≈141

GFLOP/token*

DeepSeek-R1 Distill 70.6B dense

≈80

GFLOP/token*

GLM-5 family · ≈40B active

Inference ≠ Training

08 ·

01

Raw compute

02

03

04

Task first

10 ·