prompt: "Work overnight. Make a 7-minute 'I investigated...' style YouTube documentary about life after the singularity. Plan the story with multiple agents, make it look and sound like a real doc with grade, music and SFX, and if you finish, start a part 2."

Video: LTX-2.5 image-to-video in ComfyUI, about 2.5 minutes per clip. The interview speech and lip sync come out of LTX in the same pass.
Narrator: Qwen3-TTS.

From Universal Modder on X: "Introducing NPCTalk: make the NPCs of any game talk in realtime. I made every NPC in GTA V answer to me in character, in their own cloned voice, in under 1s, and they act on what you say.”

“Packaged all the skills Claude learned into a single repo, built on open models: NVIDIA Nemotron ASR for transcription, Qwen 3.8 27B for realtime dialogue, and Fish Audio Drama 3 for the cloned voices, self-hosted on a serverless GPU. "

Groundwater engineers learned that contaminants trapped in stagnant pockets leaks out slowly, so they pump in pulses, pausing to let it seep back into the flowing channels. Claude suggested the sleeping brain works the same way. During deep sleep, vessels pulse about every 50 seconds to flush out waste, and that waste has to diffuse out of the tissue first.

Its prediction: the best pulse rate should depend on the size of the molecule. Bigger molecules like tau would need slower pulses. That could mean tuning sleep tech or drugs to the specific toxic protein you want cleared.

When I asked whether this was really unknown, it said parts already are known (vessel pulsing drives clearance). It also walked back its claim that the brain's rhythm "matches" the diffusion time. But it couldn't find anyone applying the groundwater pulse-timing idea to the brain.

Anyone in brain fluid dynamics or hydrogeology: is this new, known, or already ruled out?

1. PHP2Shell: a hole in the software behind ~70% of websites. Governments took sites offline.

2. eMudhra: the master keys that prove websites are real were cracked. One was the number 4.

3. California: data on every public school student since 2023 stolen, including disability status.

4. Railway: hackers stole customers’ secret keys from a hosting platform used by millions of developers.

5. Zeabur: 321,810 accounts breached. The company is shutting down.

6. LiteLLM: an AI tool downloaded 3.4 million times a day was poisoned with a password stealer.

7. GitLab: a 10-out-of-10 severity hole in every version since 2014.

8. Carn: criminals used an AI hacking tool to break into 100+ companies.

9. Ahold Delhaize: hackers knocked the owner of Food Lion and Stop & Shop offline.

10. Onamae: malware planted on up to 26,739 customer servers in Japan.

11. Signal: a bug could leave your mic and camera on after you hang up.

12. NGINX: 3 critical holes in software running ~1/3 of websites.

13. HTTP/3: a single connection can crash 7 of the 10 web server types tested.

14. Plex: hackers breaking into home media servers.

15. SafePay ransomware: FBI warns it has hit 600+ critical infrastructure organizations.

16. Palo Alto: ransomware gangs breaking in through company firewalls.

17. Bullhorn: platform used by 10,000+ companies knocked offline.

18. Medi-Cal: 970,000 patients’ data stolen.

19. WordPress: hackers stole a plugin maker’s keys and used them to plant backdoors on websites.

20. AOMEI: backup software’s update server handed out a backdoor.

21. Meta Muse: Meta’s AI agent exposed users’ personal and business secrets.

22. Tor: 333 relays hijacked to steal logins.

23. TiDB Cloud: database company’s cloud breached.

24. State Bank of India: India’s biggest bank confirms a data breach.

25. OVHcloud: hackers slipped a password stealer into a cloud company’s official tool.

26. Siemens: a software hole being used to spread malware.

27. North Korea: state hackers launch a new attack campaign on South Korea.

This is not unexpected. Human programming is about as good on security as hand made stuff was good on precision--until machines got involved.

This creates another unique period in time where those who understand AI will be shooting fish in a barrel and making large gains in their chosen field, until best practices catches up.

Those responsible for cyber security had a good six months now to use AI to find the problems. If they took it casually then, they've got a fire under them now.

more and more im seeing people ask questions like "what is the first problem agi would solve" and go on to describe millennium problems that have stood unsolved for decades.

to me, agi is an average person. generally intelligent and capable of adapting to new jobs, but still average. arguably we have long since crossed that threshold, but my personal opinion is that we haven't and current models are wildly spiky in terms of capability. to me, that is not agi and is just a extremely sophisticated algorithm that mimics most, but not all, human cognitive processes.

but when we talk of solving millennium problems or curing diseases, isn't that clearly ASI? something that takes years of research from whole industries is not "general intelligence" in any meaning of the term.

i think this moving of goalposts started with the o1 release, but im honestly not sure. what do you think?

https://x.com/canva/status/2113348707223753165

u/px403 writes:

If you haven't directly inlined AI tooling into your continuous integration pipeline, now's the time to do it. Like 95% of the bugs coming in have trivial fixes that can be merged within 20 mins of being reported with minimal human gatekeeping.

Code is cheap. Right now, the code in any given codebase should be like 5% product, 95% tests. The robots are actually really good at building tests. You should be able to branch protect your main branch, and auto merge anything that tests green. If something fucks up, write more tests. This is the new way, and it's actually incredible to see it working at scale with hundreds of devs firing their slop cannons at the same time, and having everything coalescing into a living project that continues to improve in real time before your eyes.

Let's state it. AGI is even more likely to happen in 2-24 months than ever. But we know this has a price, in electronics, in compute.

So it makes sense to determine what would be the first tasks AGI should solve, other than the obvious global warming.

My 2 cents:

A) Energy: Low impact easy energy generators, either by classical fusion, laser-boron, etc. more efficient solar panels, other forms of energy to be harvested.

B) Electronics: manufacturing and technologies to overcome shortages and be less power-hungry

once AGI itself is sustainable and cheap:

C) Medical conditions and longevity

D) Energy storation: batteries.

E) Wealth for everyone: in a world with real abundance, no meaning to have wealth/social disparities

And for you what would be the priority?

Not 10, 60

used opus 5.5 to track my adhd medication peak curve and my claude study logs.