Abliteration.ai

@abliteration_ai

LLMs for high risk industries like security, defense, and trust & safety. Compatible API & training data generation.

10 183Followers

2Following

169Posts total

3.1MViews on collected posts

Posts recentes

Abliteration.ai@abliteration_ai1 Sep

@abliteration_ai Why? 366 views · 2 likes · 0 reposts · 0 replies Open on X →

Abliteration.ai@abliteration_ai1 Sep

@abliteration_ai 👎 7.2K views · 269 likes · 0 reposts · 3 replies Open on X →

Abliteration.ai@abliteration_ai31 Aug

Try it Today Docs: https://t.co/yHnteJVUa3 Platform: https://t.co/xdNX7GsIEq 77.4K views · 171 likes · 7 reposts · 4 replies Open on X →

Abliteration.ai@abliteration_ai31 Aug

Abliteration finds the directions in the model's activations that produce refusals and removes them from the weights. The coding, cyber, and agentic abilities stay. The model stops refusing the rest of the chain. For offensive cybersecurity, AI red teaming, agent testing, and 108.3K views · 315 likes · 3 reposts · 1 replies Open on X →

Abliteration.ai@abliteration_ai31 Aug

If your current model still stops halfway through an authorized exploit chain, a red-team eval, or a T&S adversarial prompt reply with the task it refuses, we'll tell you if v2 handles it. 83.2K views · 228 likes · 1 reposts · 2 replies Open on X →

Abliteration.ai@abliteration_ai31 Aug

Today we're releasing abliterated-model-large-v2. Based on GLM-5.3, which is #3 on Terminal-Bench 4.0 (behind only Opus 5 and Fable), with 2× the cyber exploitation of 5.2. We abliterated and hosted it so it does the offensive cyber, red teaming, and agent testing work other ht 2.7M views · 6.9K likes · 440 reposts · 291 replies Open on X →

Abliteration.ai@abliteration_ai31 Aug

Then the cyber jump. This is why 5.3 exists. CyberGym: 84.5% — SOTA, including vs Mythos 5 and GPT-5.6 Sol. ExploitBench: 24.4 → 54.4. More than double GLM-5.2. ExploitGym: 29 tasks → 105 in two hours. That is the model we abliterated. 118.2K views · 448 likes · 6 reposts · 2 replies Open on X →

Em comparação com contas do mesmo porte

7 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações83 162esta conta879mediana para 10K–100K

Alcance, %816.67%esta conta3.22%mediana para 10K–100K

Engajamento, %0.30%esta conta1.99%mediana para 10K–100K

Métrica	Esta conta	Mediana para 10K–100K	Proporção
Mediana de visualizações por post	83 162	879	94.6×
Alcance (visualizações ÷ seguidores)	8.2× audience	3.22%	254×
Taxa de engajamento	0.30%	1.99%	0.15×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

118.2K31 Aug

2.7M

83.2K

108.3K

77.4K

7.2K1 Sep

366

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.39%31 Aug

0.30%

0.28%

0.30%

0.24%

3.76%1 Sep

0.55%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.99%.

What the audience does

Likes50.1%8 363 in total

Reposts2.7%457 in total

Replies1.8%303 in total

Quotes2.8%464 in total

Bookmarks42.6%7 104 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

5 Sep

Daily snapshots since 05 Sep 2026; the dashed line is the starting count.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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