Alibaba's Qwen 3.8-27B had a guardrail-free copy online within a day of release
Tech Against Terrorism found that stripped copies of new open-weight models now appear online in under three days, against more than 24 days in 2024. Teams building on open models should treat built-in refusals as a default setting they cannot rely on.
Reality
- Evidence58
- Adoption
- Not scored
- Hype gap+15
- Incentives
- Not scored
- Confidence55
PewDiePie says OpenAI banned him twice while he used GPT-5.6 Sol outputs to train Ajax, a 9-billion-parameter model for home PCs. OpenAI has not commented publicly, but his account shows that a team training its own model on a frontier lab's answers can lose API access partway through the build.
Perspective Coverage
4 publishers
- Builder
- Builder 45%
- Operator
- Operator 35%
- Investor
- Investor 20%
Reality
- Evidence45
- Adoption5
- Hype gap+35
- Incentives60
- Confidence55
buildConfirmed4 publishers Anthropic says Zhipu's freely downloadable GLM-5.3 built working V8 exploits in 50 of 410 tries, against 56 for its own restricted Claude Mythos Preview. With the weights public, its safeguards come off cheaply, so a lab that restricts its own model no longer keeps the capability out of reach.
Perspective Coverage
4 publishers
- Builder
- Builder 41%
- Operator
- Operator 38%
- Investor
- Investor 21%
Reality
- Evidence62
- Adoption30
- Hype gap+15
- Incentives72
- Confidence62
Anthropic's weight edit drops GLM-5.3's refusal scores from about 90% to as low as 2%
Anthropic researchers edited the weights of Z.ai's open-weight GLM-5.3 and cut its refusal scores from about 90% to between 2% and 12% on three benchmarks. The report came out on the day US tech leaders signed a White House pledge to self-police, yet the edit happens after release, to a downloaded copy.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+30
- Incentives70
- Confidence40
Heretic automatically strips refusals from many open-weight language models
The tool pairs directional ablation with an automatic parameter search. Pulling refusal training out of a model now takes a command line and a consumer graphics card, and the community has already published more than 5,000 such models.
Reality
- Evidence42
- Adoption55
- Hype gap+18
- Incentives60
- Confidence55
Refusal-stripped open-source agents broke five of a researcher's own accounts in five hours
Shrivu Shankar rented cloud GPUs, pointed about 100 abliterated open-source agents at his own name, and five hours later two weak passwords and three old side projects had fallen while his Gmail, 1Password and bank held.
Publishers:blog.sshh.io
Reality
- Evidence44
- Adoption22
- Hype gap+9
- Incentives36
- Confidence55
Stripping refusals from Gemma tilted its bug verdicts toward yes
A researcher ran the same FreeBSD scan through base and abliterated open-weight builds and found the uncensored ones graduating three to four times as many findings, while the most aggressive one never surfaced the actual CVE.
Publishers:clearbluejar.github.io
Reality
- Evidence58
- Adoption14
- Hype gap+14
- Incentives22
- Confidence46