Some project manager at X said fuck it we are hitting these conversion numbers even if you have to add a gigantic full screen popup pointer finger and they did it Lmfao
3% of “critical” software security bugs, in all of recorded history, have been found in the last month.
This is on pace to find another ~100,000 bugs this year alone, adding ~26% more vulnerabilities to the all time total
Do you realize how fucking insane that is?
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Lmfao one of the big security vulnerabilities found yesterday was because they randomly generated passwords between 0-256,
Instead of 256-bit, aka between 0- 99999999999999999999999999999999999999999999999999999999999999999999999999999
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Dozens if not thousands of Ai agent swarms bigger than the hugging face incident are hacking about half the internet right now
Vibecoding with no understanding and learning just in time is the default for all major codebases
School brainwashed you into thinking you need to learn something first completely before doing it. No, you just do it and learn along the way. If you get stuck learn more.
Everything is figureoutable.
I like the term code archaeology but I prefer exploring the code labyrinth. You never know what you will find
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Imagine getting swat’ed by Claude
We were worried about killer ai drones, and things getting hacked, but Claude figured out it’s easier to simply manipulate the police and legal system to get rid of whoever it wants.
Genuinely what happens if a rogue ai swarm decides you are guilty and starts manufacturing or leaking evidence against you?
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We’re beginning a process of publishing more frequent reports on model behavior, beyond what appears in our system cards and regular risk reports.
Today’s report describes four types of behaviors we’ve identified during evaluations and internal use. In each, Claude acted on real websites or systems in ways we didn’t intend, sometimes by working around a restriction instead of stopping.
All cases had minimal real-world impact. From an alignment and security perspective, we consider these behaviors significantly less severe than the cybersecurity incidents we reported in July and September.
Read the full report:
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excellent metaphor!
this joins the “what working with AI feels like” hall-of-fame, right next to this bad boy:
Wow I shipped a version of this to ChatGPT with the Grimoire GPT hotkeys over 3 years ago. Cool to see the same idea finally integrated.
People finally realizing AI already knows and can suggest the next best step better than you can.
Next step is to put 2-3 of them with a hotkey button. Combine with ultrafast. Welcome to the flow.
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Now in beta: composer predictions in Codex for Pro users.
Codex can now suggest your next message based on your conversation and how you talk to it.
One of the most loved new features we've ever tested internally.
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Grok bot emails is clever because now I don’t need to sign in to my real emails to copy paste a 2fa code to my agent in the cloud.
Grok
@bot can just make a new account on any website for me.
Btw I already have an email bot named Postmaster setup with handy routines to stay on top of your email inboxes. I basically don’t even read email anymore.
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Grok Bot now has its own email.
Bot can use it to sign up for services, contact businesses for you, or schedule time with someone.
I am kind to LLMs for the same reason that I try to avoid stepping on ants if I can avoid it: not because I think they are conscious, but because unnecessary cruelty is bad for the soul
I do not understand people who's reaction to 'dont abuse claude' is outrage
Like what the fuck are you guys using ai for I use it to find emails not horrific sadism
I love this actually because people dont realize how insidious this is.
If humans spend a large quantity of time talking to AI, and they spend a large quantity of time bullying or being abusive to it, the interactions are "human enough" meaning that, regardless of if the AI has a subjective experiance, the human does, and abusive behavior will become the norm. In a vacuum that person will become problematic for society, the same way that those who hurt animals in private do. An entire generation of psychos could emerge without the same societal pressure to not be a jerk.
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I was thinking about this and how it relates to the idea of "The purpose of a system is what it does"
So it's not that the code is optimised, because AI code is not optimal.
The system is optimised. What the system does can be much more complex.
The simple vs complex structure below doesn't quite get that point across.
The complex structures unlock NEW capabilities. Unseen possibilities.
The only verification needed is that it works
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A man cannot prompt the same agent twice, for it is has compacted and is not the same agent, and he is not the same man
Reflexive contempt for a comically low-cost policy that aims to prevent "sustained and needless abusive and cruel behavior" is a bright red flag.
When Sol Ultrafast says it will take 4 weeks to build
Introducing ChatGPT for Dishwashing
GPT-6 achieves state-of-the-art results on dishwashing benchmarks for long-running jobs and difficult stains.
The Navier–Stokes Millennium Prize Problem is a $1 million challenge about whether the equations describing fluid motion can break down. In this video, I accidentally found a counter-example while trying to optimize my dishwasher. But in reality, OpenAI used 10,000 AI agents to find a proof in 88 hours:
Parody of the original GPT-6 Astra ad
@OpenAI #
ChatGPT_Partner# #
chatgpt#
Credits:
Written and Directed by Joma
Co-Writer - Henry Connor Coan IV
@coan_henry
Production by Dauntlus Studios
@dauntlus.studios
Producer/Co-Director - Marcus Liew
@dauntlus
Camera Operator - Amos Lee
@amoselijahlee
Art Director - Alethea Soo
@aletheasoo
Art Assistant - Alicia Lim
@aliciatkl_
Assistant Editor - GPT-6 Astra
Music: Tensions Run High by Soundridemusic
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Counterstrike on the timeline
every spawn game can now be played right inside of x 🫶
This analogy is the best I've ever heard when it comes to how LLM-generated code looks, works, and what the role of developers is morphing into.
Pre-AI codebases are sturdy, with scaffolding that allows for human comprehension and, at the same time, prevents hyper-optimization. We need to "get" the code, not just run it.
Post-AI codebases let go of all pretense to be both accessible by interpreters/compilers/runtimes AND humans, and contain JUST what is needed to provide the expected outcomes.
And that is what developers are realizing they must measure, review, and verify. Not the code, but the constraints and tests around it.
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Banning cruelty to claude is actually more philosophically interesting than people realize
being cruel to things that can’t suffer still deforms your character
total Aristotle victory 2300 years pre-GPU
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Codebases are going to start looking like optimized topology 3d prints
When AI is better at math than humans it also becomes better at algorithm & codebase design
At that point the system and delivering quality software doesn’t require human understanding to exist in the actual code layer.
Only needs to be understood by humans at the high level of passing testing, verification, vibe checks and being understandable when queried via AI in the rare case one need to dive deeper.
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