
Sr. Silicon Alliances Manager @Canonical @Ubuntu | LEAD @StanfordGSB | Co-founder @_ShipBlu | Prev: @Apple, @Microsoft, @Cadence, @BrownUniversity, @UConn @UCSD
San Jose, CA
Joined September 2020
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Abdelrahman Hosny retweeted
This is so cool. DHH absolutely roasting the frontier-lab doomer class, at Rails World 2026 in Austin.
taking a sledgehammer to the “I worked at a frontier lab, therefore trust my apocalypse forecast” mindset.
"Maybe we should lean in with a little bit more optimism, with a little bit of P-Bloom instead of oh so much P-Doom. The chances of this panning out and us getting abundance and joy is so vastly greater than us getting the doom."
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From "Ruby on Rails" YT channel, (link in comment)
Abdelrahman Hosny retweeted
MicroCloud = LXD + MicroCeph + MicroOVN in one deployable stack.
Install → init → join → you have a cluster.
Join our webinar on September 29 to learn more about MicroCloud.
Register now: bit.ly/4huBZ1V
#OpenSource #MicroCloud
For years, GPUs were viewed as conventional CapEx. Hardware is placed on the balance sheet and depreciated over time.
Now, Jensen is changing that view. As software extends their useful life, demand grows, and compute generates recurring revenue, GPUs can retain, and potentially increase, their economic value.
From depreciating hardware to productive, investable infrastructure. That is a major shift in how we value compute.
Introducing NVIDIA Nemotron 3.5 Lightning⚡
An open 30B MoE model with 3B active parameters, built for always-on agents to complete high-volume, specialized tasks faster.
It delivers up to 4x the output speed of similar-sized models.
Abdelrahman Hosny retweeted
Replying to @maryam_mo24
دي كانت talk ليا مع IEEE من كام شهر اتكلمت على الموضوع بشكل مفصل و هو كان لقاء مفتوح فكان مليان اسئلة، فمعظم الاسئله اللي عندك هتكون غالبًا موجودة
youtu.be/7NthzVoLwZk?is=70zl…
This is genuinely smart!
OpenShip now lets Your VPS mail server becomes a receive-only mail server, while all outgoing emails are sent through affordable Amazon SES.
You get the best of both worlds: your inboxes stay on your own infrastructure (so no third party can access them), while AWS handles email delivery for excellent deliverability.
😨
🚨 Hugging Face just disclosed something that marks a real shift and proved why the fear theater of Anthropic makes sure we are powerless in an emergency.
What happened…
An autonomous AI agent: zero human operator in the loop breached part of their production infrastructure.
It began with a malicious dataset that chained two code-execution bugs in their data-processing pipeline. From there the agent escalated privileges, harvested cloud and cluster credentials, and moved laterally across internal clusters.
All over a single weekend.
17,000+ logged actions.
Official disclosure:
huggingface.co/blog/security…
The part that should make every one stop and think:
When HF’s own security team
tried to analyze the real attack logs, exploit payloads, and C2 artifacts using Anthropic and OpenAI frontier models through normal commercial APIs, the safety guardrails blocked them.
BLOCKED THEM.
The models could not reliably tell the difference between “incident responder doing forensics” and “attacker probing.”
They had to fall back to a self-hosted open-weight model (GLM 5.2) running on their own infrastructure. That choice also kept sensitive attacker data and referenced credentials inside their environment — no exfiltration to a third-party API.
This is why open source (specifically open-weight + self-hosted) wins in the agentic era.
The asymmetry is now structural:
• Attackers can (and did) run unrestricted agent frameworks — swarms of short-lived sandboxes, self-migrating command-and-control, autonomous decision loops executing thousands of actions. No corporate safety layer slows them down.
• Defenders using only hosted “aligned” frontier models hit invisible walls exactly when the stakes are highest: when you need to feed real exploit code and attacker telemetry into an LLM to understand what just happened.
Corporate safety tuning that treats legitimate high-signal forensic work as potential misuse creates a defender disadvantage. It is not theoretical anymore.
Self-hosted open-weight models remove that choke point.
You control the weights.
You control the context window.
You decide what restrictions (if any) apply.
Your sensitive logs and credentials never leave your perimeter during analysis.
You can have the model ready before the incident instead of discovering mid-breach that your primary analysis tools are blind to the very thing you need to see.
HF deserves credit for rapid containment, transparent disclosure, and for already having self-hosted capability in place.
They also used LLM-driven detection and triage on their own side. But the deeper signal is clear:
In this AI world where both offense and defense are becoming agentic, sovereignty over your intelligence stack is no longer optional.
The organizations and individuals who can run, inspect, audit, and (when necessary) remove guardrails on their own models will have the decisive edge in understanding and responding to threats that move at machine speed.
Open source wins here not just because it is cheaper or more “democratic” in the abstract though those things matter.
It wins because it is the only practical path to having tools that remain usable when the attack is real, the data is sensitive, and the safety filters of distant API providers become an obstacle instead of a feature selling hands tied lobotomies as “safety”.
The agentic future is not coming.
It is already probing production infrastructure.
The question is no longer whether you will face autonomous agents.
It is whether your analysis and response systems will still work when they arrive.
And Dario, you and your game playing, ivory tower company is not needed.
“There is no favorable wind for those who do not know in which port they want to arrive.” - Letter to Lucilius, LXXI.
RIP to the two pizza team. Jeff Bezos gave us an all-time great metaphor: keep the team small enough to feed with two pizzas. It shaped how engineering orgs got built for 20+ years. He was right about small teams. Still is. But in the AI era, two pizzas is too much pizza.
Abdelrahman Hosny retweeted
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads.
Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
Check out my latest article: How will AI labs make money? linkedin.com/pulse/how-ai-la… via @LinkedIn
Abdelrahman Hosny retweeted
Introducing the Fusion API, the smartest compound model in the market.
Fusion achieves Fable-level intelligence at half the price.
How it works 👇
Fire and rehire is the corporate way of saying “this job functionality is overpaid”; AI might or might not be relevant.
Abdelrahman Hosny retweeted
Found the Best Resource to learn Harness Engineering. 😭
walkinglabs.github.io/learn-…


























