Amine retweeted
Just how big was the Israeli “zero-click” malware attack?
@citizenlab researcher @billmarczak tells me, “The ads were at an enormous scale…hundreds of millions of impressions, meaning hundreds of millions of these ads were shown on devices over a period of a few months…even devices that don't get hacked, that aren't the quote, unquote real targets, there is still quite a bit of invasive data collection from those devices. So we're talking on the order of millions and millions of devices.”
Amine retweeted
I think we have 1-2 years left before the broader masses catch up on what you can actually do with AI today. Sell that gab until, there's some still time left to make cash.
But that's the timeline.
Company vision with decade-long horizon makes zero sense right now.
Amine retweeted
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that.
Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
Amine retweeted
防犯カメラの映像から飲食店のテーブル稼働状況を可視化
🔹YOLO26xで人物を検知し、手動設定したテーブル区域に対応付け
🔹1.5秒以上の滞留で着席と判定し、テーブルごとの利用時間を計測
🔹空席・利用中の状態、稼働率、滞在時間をダッシュボードに表示
Abdul Ahad Raza氏が開発。
情報元はリプ欄。
Amine retweeted
Type of shit you can do when you don't have to fund and defend Israel in their 7 wars of choice
Amine retweeted
Last year, @amnesty revealed technical evidence of spyware firms like Intellexa developing tools for zero-click infection through online ads.
We warned of a dangerous new threat to civil society. Now @citizenlab has caught devices at Al Jazeera being hacked via malicious ads. 🧵
Amine retweeted
let me tell you why saas is not dead and how deep in the rabbit hole we are on x
⬖ my wife is technical enough, worked as QA before, understands the concepts of cloud, hosting, frontend vs backend, etc etc.
⬖ she has 2 subs to copen ai and claude, uses them on desktop and on mobile
⬖ she has heard me rambling about ai for 4 years non stop and knows most terms
⬖ she has vibed a few websites for fun and is a creative person overall
so i see she subscribed (recurring lol) to a "learn driving tests" app
i asked her wtf why dont u vibe yourself one?? it will be even better, more visual, tailored to you, etc etc.
she was like "uhm but why, someone already put all the effort and i just wanna be done with my driving tests"
now think about the people who have NONE OF THE bulletpoints above lmfao 💀
put a price tag and just put the saas in the bag lil bro
no one is vibecoding shit
Amine retweeted
everyone can cook. restaurants still exist
everyone being able to build software won’t kill software companies. it just means more people can build what they need
Amine retweeted
this is very easy to disprove, empirically from what we see since decades: We have open-source alternatives to most SaaS that you can self-host with a single Docker container. They are basically free and far easier than vibe-coding. Yet, many people still choose SaaS - why is that? Because ownership comes with responsibility and maintenance, both are expensive, economically and physiologically (stress).
Vibe coding costs even more than open source (tokens cost money, prompting costs time, stress costs), and also sometimes more than SaaS, because suddenly you own the bugs and the uptime.
Real fun when it breaks on a Sunday and you have to spin up some prompts to fix it instead of paying 12$ per month to a company that handles everything properly.
I think people use vibe coded currently because it's new and exciting, but eventually see the real costs it has and instead will go with the peace of mind option for a few dollars.
Amine retweeted
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.
So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.
TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
Amine retweeted
Alhumdulilah, something very special to share today! We’ve been collaborating with @quran (Quran Foundation) to help lead the redesign of Quran.com and its family of services, which are now live.
Our shared intention was to develop beautiful interfaces into revealed knowledge and guidance. To create inviting, thoughtful experiences for diverse individuals, organisations and communities to understand and apply timeless Islamic wisdoms in our digital, increasingly AI-driven era.
Heart-centered design requires framing our work as an amanah (responsibility). In my design practice of around 25 years, I have rarely come across more humble, considerate, dedicated souls than those found at the Quran Foundation team. I am deeply honoured to be involved.
May God bless the efforts of our teams and enable this project to benefit many hearts, insha’Allah.
Amine retweeted
Unreal Model Context Protocol (MCP) provides an official, Epic-supported way to connect your favorite agentic LLM tools directly to Unreal Engine🤝
Built on the open MCP standard, it enables agents to take action in your projects using the capabilities exposed by each editor—so you can use compatible agentic coding tools or build your own integrations, skills, and workflows around how you create: epic.gm/ue-mcp-docs
Amine retweeted
Cool Github repo, 29k stars
1 MCP server for reverse engineering across binaries, applications and runtime behavior.
Ask your AI agent to investigate a feature in any app with REA, even without the app’s source code.
REA turns the app’s machine code back into readable code.
The agent reads that code, explains how the feature works, shows the evidence, and can build its own version for your project.
Amine retweeted
this was so crazy i had to build a native mac UI for it
17,000x faster than Finder
github.com/zeusinsight/Finde…
The people wanted it, here it is.
Full disk search, in milliseconds. 17,000x faster than Finder.
github.com/noahdunnagan/fsea…
Amine retweeted
please if you're talented and ambitious do not work on saas. pick a physical problem in the world and take it on, the models are too good not to
