Mohammad Elsharqawy

[Mohammad Elsharqawy @sharq_fr]

أنا إن عشت لستُ أعدم قوتا وإذا متُّ لستُ أعدم قبـرا
همتـي همةُ الملوكِ ونـفسـي نفسُ حرٍّ ترى المذلة كفـرا

[Tianyin Xu @tianyin_xu]

This post is long overdue, which I owe to the students from the UIUC++ SRSE program. We finally wrote a blog on how we curated a set of high-quality SRE benchmark problems by turning real-world postmortem reports into reproducible SRE problems atop #SREGym. It may give a good example of community-based data curation. Check it out,
https://t.co/vCLXrf87Zk

The fundamental challenge of AI-for-SRE benchmarks is the quality of the problems, e.g., in terms of realism and the ability of challenging frontier AI. This experience enabled us to understand many faces of the challenge and reflect on important tradeoffs between realism, reproducibility, cost, and utility. We learned many lessons, which would guide the effort on building #SREGym 2.0.

Big thanks to @SaadMRP who (unexpectedly) spent his entire summer managing the program with a heroic effort.

I list all the student contributors at the end of the post. Many of them are on Twitter: @12_AbdAllAh_12 @ermiasmulu19 @sharq_fr @M_ABDz_ @MunimThahmid @Sai_Hari_g @ibnAmjid @SuMaya971503 @TalhaAsif25 @tanzimhromel @tejaspkshukla @Varunihk. They did great work to achieve high-quality problems that challenge AI frontier. If you're looking for students or employees, they are good candidates!

[Tianyin Xu @tianyin_xu]

Well deserved, @HacksonClark and the #SREGym team! AI for SRE is in an unusual situation, where no strong benchmark is available and the technical landscape is rather opaque. The fundamental challenge is to curate high-quality problems that can reflect real-world characteristics of SRE tasks. It's great to see #SREGym continuously pushing on this direction and offering an open platform for everyone, and more importantly, the active community they have built. The #SREGym Slack has 250+ members and the project has 60+ contributors. The best part is to hear from more and more practitioners who are using it.

[Jackson Clark @HacksonClark]

I'm excited to share that https://t.co/eDFaNGJ0TF has been accepted to NeurIPS 2026! 🎉

Huge thanks to my co-lead @Yiming_Su3, our co-authors @SaadMRP, @lilygn6, Yifan Tian, Hans-Arno Jacobsen, @yinfang_chen , @TianyinXu, and our 60+ contributors!

We have benchmarks for agents that write code.

We built one for what happens after you deploy it.

Can AI resolve production issues? 🧵 [1/N]

[Nayel Shafei @nayelshafei]

الصورة الكبيرة - الأحد 9 مساء القاهرة
كيف تحصل على القبول في MIT، أحد أرقى جامعات العالم. وكيف تحصل على منحة دراسية. حوار مع د. أحمد غنيم، رئيس قسم الهندسة الميكانيكية بالـ MIT يجيب على أسئلتكم.
https://t.co/cumZP5rULe

[Mohammad Elsharqawy @sharq_fr]

Posted this at the beginning of the summer. Plot twist: I’ve been a night owl ever since 🦉

[Mohammad Elsharqawy @sharq_fr]

A few extra hours at night rarely outweigh losing an entire sharp, productive day.

[Amber (Jiachen) Liu 🍊 @JIACHENLIU8]

Tons of great perspectives from a systems professor 🥹
lots of great principles in systems research 💫 can be borrowed from and apply to ai agent systems - fault tolerance, recovery, formal methods, security etc

徐天音：系统，UIUC，教授，最佳论文，Agent Infra，云计算，形式化验证，容错，纯粹，好导师 https://t.co/gtz7g9KhvB via @YouTube

[Reads with Ravi @readswithravi]

Computer scientist Sara Hooker on underestimating difficulty:

[Prof. Feynman @ProfFeynman]

The first rule of learning is to admit you don’t know. The second rule is to never stop asking why.

[Sanjana @iam_sanjana06]

If u guys are into inference engineering, do check out this.

They have got a proper roadmap and hands on exercise to build you into an inference expert.

https://t.co/Qs6ZwJL03a

[Fei-Fei Li @drfeifei]

@a16z I think kids today call this “aurafarming”; am cooked.😆

[Prof. Feynman @ProfFeynman]

The trick to learning is enjoying.

[Jeffrey Wang @jeffreyycwang]

A higher KV cache hit rate doesn’t always mean lower TTFT and TPOT, or higher throughput.

We studied LLM routers with different request scoring objectives under agentic and RL workloads. Here’s what we learned. 🧵

[رَوائِعُ القَصِيدْ @raway_alqasid]

• يقولون:

"كُن عزيزًا غائبًا، ولا تَكُن حاضرًا بلا كرامة!"

[Dr. Vasfi Aşur Ebuzeyd - د. وصفي عاشور أبو زيد @dr_wasfy]

إن قال قائل: «مرجعيتنا الدستور، وليس القرآن!»… فإن مات، فاقرؤوا عليه الدستور.

#محمد_الطاهر_بن_عاشور

[Yuchen Jin @Yuchenj_UW]

Non-PhDs: “When I retire, I’ll finally do a PhD. Research sounds so fun.”

PhDs: “If I hadn’t done a PhD, I could’ve joined one of those fancy AI labs before ChatGPT.”

Everyone romanticizes the path they didn’t take.

[Mohammad Elsharqawy @sharq_fr]

Simply, you can't lose something you never had.

[ℏεsam @Hesamation]

you can basically run an Opus-4.6-ish model at 200 tok/s on a single RTX 5090.

[Qwen @Alibaba_Qwen]

Performance of Qwen3.8-27B: