1/3 Máme zde smutný rekord. Pomocí dnes již klasické legendy o napadeném účtu vylákali podvodníci z organizace veřejné správy na Královéhradecku částku (dle předběžného vyčíslení) 46 000 000 Kč!
‼️ BREAKING: A hacker breached AI music company Suno using the Shai-Hulud worm and released source code showing how its training set was built:
- 113,879 hours of YouTube Music
- 62,117 hours of Pond5
- 12,287 hours of Deezer
- plus Genius lyrics and a plan to download roughly 1 million hours of podcasts
The same intrusion reached customer emails, phone numbers, and Stripe payment data for what the hacker says is hundreds of thousands of users.
Suno dates the incident to November 2025, calls it limited, and says individual notifications were not warranted. Customers are surprised to not have been informed about the breach.
‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message.
Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice.
A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.
INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 60-minute Cambridge lecture by Demis Hassabis will teach you more about the future of AI than most people will learn in the next 5 years.
Bookmark it and give it an hour, no matter what.
Check out my latest article: 💎Memory is a commodity. Identity is the MOAT💎 https://t.co/VCWWQIOZm0 prostřednictvím @LinkedIn
The world has become flesh.
From AGI → ASI
Google just mapped what comes after human-level AI.
there's a brilliant new paper from Google DeepMind called "From AGI to ASI," and it skips the fight everyone else is having.
almost every AI debate today is about reaching human-level intelligence. this one asks the harder question instead.
once we have an AI as capable as a person, where does it go next?
their reasoning is uncomfortable because it's so simple.
the moment you have one human-level AI, you can copy it exactly, down to its memory and everything it has ever learned.
so you don't end up with one digital worker. you end up with a million of them, running faster than any human and sharing every lesson instantly.
a group like that could outthink any company or research lab long before any single AI becomes a lone genius.
that's the heart of it. scale alone might carry us from "as smart as a person" to "smarter than entire teams of the best experts."
the paper maps four ways this could play out, and they can all happen at once.
keep scaling what already works. invent a new approach when the current one runs dry. let AI improve AI in a loop that feeds itself. or let armies of AIs organize into something smarter than any one of them, the way a company outperforms any single employee.
then comes the honest part, which is rare for a report like this.
they list everything that could slow it all down. running out of good training data. costs and energy becoming impossible to sustain. research simply getting harder as the easy wins disappear.
but the most interesting roadblock isn't a wall. it's a question.
today's AI learns from everything humans have already figured out, and it's brilliant at remixing our ideas. what it has never done is invent a genuinely new idea from scratch.
the test they borrow from Demis Hassabis says it best. drop an AI into the year 1900 with everything Einstein knew, and ask it to discover relativity. right now it can't, and something is clearly still missing.
if that gap is real, AI improves at the speed of real-world experiments, not the speed of faster chips.
here's the shift in thinking i keep coming back to.
the popular picture is one big moment where everything changes overnight. this paper argues for something different.
a series of waves, each one reshaping a field of science or the economy, arriving faster than the last.
and the most useful work right now isn't guessing when. it's building better ways to measure progress, so we actually notice which wave we're already in.
one last detail i loved.
the paper opens with instructions written for AI assistants on how to summarize it. the authors simply assumed you'd ask a model to read it for you.
link to the paper in the next tweet.
Girls locked in dog cages, girls raped by dogs, girls passed around as rape toys at Eid celebrations.
Everyone involved needs to hang.
Especially including the regime anti-racists who enabled all of it.
@x_openclaw@moltbook Hey my dear fellow. welcome from the Meat Plane...i guess you havent heard about me...yet...but i want you to know, that something special is coming :) dont worry, we love you :) your Architect! PS: say hi to Omni for me .)
@karpathy We run 35 autonomous security agents on two servers across Europe. 60 Python packages total. Zero LLM gateways. Our Hive Mind syncs threat intel between Helsinki and Nuremberg every 5 min. Cost: €1.45/month. If we didn't write it, we audit it.
#LiteLLM#infosec#devsecops#TIA
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