[afnog] African ai infrastructure

[Houda CHIHI]

Hello,


Thank you so much for your great  opportunity , if possible to share the project's draft to discuss it?

Thanks in advance,

________________________________
De : Loganaden Velvindron <loganaden at gmail.com>
Envoyé : jeudi 25 juin 2026 15:17
À : Houda CHIHI <houda.chihi at supcom.tn>
Cc : sm+afrinic at elandsys.com <sm+afrinic at elandsys.com>; afnog at afnog.org <afnog at afnog.org>
Objet : Re: [afnog] African ai infrastructure

We would love to collaborate with you Houda.

On Wed, 17 Jun 2026 at 10:39, Houda CHIHI <houda.chihi at supcom.tn> wrote:
>
> Dear All,
>
>
> Hope that you are doing well, the project idea is very interesting please count me in in the collaboration process,
>
>
> Good Day !
> ________________________________
> De : afnog <afnog-bounces at afnog.org> de la part de sm+afrinic at elandsys.com <sm+afrinic at elandsys.com>
> Envoyé : lundi 15 juin 2026 17:25
> À : Loganaden Velvindron <loganaden at gmail.com>; afnog at afnog.org <afnog at afnog.org>
> Objet : Re: [afnog] African ai infrastructure
>
> Hello,
> At 08:57 AM 14-06-2026, Loganaden Velvindron wrote:
> >It is sad that one ai model is currently being restricted due to
> >national security reasons in the usa.
>
> There was an academic paper about "boundary point jailbreaking of
> black-box LLMs" [1].  It includes some information about bypassing
> the restrictions built into a LLM.
>
> The possibility that Anthropic Fable's restrictions could be bypassed
> caused security concerns in the U.S.  That is why foreigners are no
> longer allowed to access that AI model.
>
> The capabilities of an AI model are often highly exaggerated [2].  A
> few open source software projects have been complaining about code
> submissions [3] generated by AI.  There was a significant increase in
> vulnerability reports.  Some of those reports are probably AI-generated [4].
>
> Regards,
> S. Moonesamy
>
> 1. https://arxiv.org/pdf/2602.15001
> 2.
> https://www.reuters.com/business/fears-unfettered-hacking-spurred-by-anthropics-mythos-ai-model-overstated-2026-05-20/
> 3. https://devtalk.blender.org/t/ai-contributions-policy-proposal/44202
> 4. Liu, D., Chang, O., metzman, J., Sablotny, M., & Maruseac, M.
> (2024). OSS-Fuzz-Gen: Automated Fuzz Target Generation
>
>
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