- 7 Nov 2026
- Fixed some wallet connections.
- 7 Nov 2026
- Fixed the bug that the user couldn’t connect OAuth identity providers (such as GitHub or ORCID). This bug was introduced when moving API to a new domain.
- The existing Node.js+PostgreSQL app has been ported to ICP blockchain and run on localhost. The port is an undebugged pre-alpha. It is not known how much debugging will take. The fully-onchain ICP app source.
- 26 Oct 2026
- Changed evaluation model from
gpt-5.1-minitogpt-6-luna, both increasing quality of evaluation of users and reducing cost of review. Also changed a default model in Defense Panel.
- Changed evaluation model from
- 14 Oct 2026
- Added Defense Panel.
- 1 Aug 2026
- Started ICP blockchain fully-onchain app rewrite.
- 31 Jul 2026
- AI security review.
- 10 Jun 2026
- Bug fixes.
- 11 Jun 2026
- Update dependencies.
- 10 Mar 2026
- Add European Union fund.
- 9 Mar 2026
- Show dollar equivalents of tokens.
- Set Cron jobs.
- 8 Mar 2026
- Fix missing space between “Audit Logs” link and user name, that was likely hurting SEO.
- Connect Solana and Bitcoin wallets.
- In
/connectadd tooltips over shortened blockchain addresses. - Add a wallet selection dialog.
- Fix design bug.
- Merge EVM and non-EVM addresses entry into one form.
- 7 Mar 2026
- Introducing and fixing back bugs.
- Eliminate most of Snyk code security issues.
- Added ICP blockchain tokens ckBTC, ckETH, ckUSDT, ckUSDC, ckEURC.
- Shorten the blockchain addresses in “Connected Services:”. Add Copy buttons.
- Pass emails to the AI. In logs, obfuscate user emails.
- Allow to connect more than one email.
- Allow to enter Ethereum address manually
- 27 Feb 2026
- Simplified user evaluation UI flow.
- Fixed bug with connecting accounts like GitHub or ORCID.
Help Turn AIIM’s Beta into Evidence
AIIM remains experimental. The next proposed milestone is a five-month public adversarial test, with $1,000 planned for distribution to eligible funding recipients. Donations support the work required to run and evaluate that test.
Fund the public test → Test proposal → Independent review →
AI-generated evaluations can contain factual errors or biases; decentralized governance and non-custodial components remain under development. Public testing, auditability, and external criticism remain part of the project.