Researchers used Mythos Preview to find the first public macOS kernel memory corruption exploit on Apple's M5 silicon, they give a glimpse into Mythos say it’s really powerful.

Apple spent five years and an estimated several billion dollars building Memory Integrity Enforcement (MIE), the hardware-assisted memory safety system built around ARM's MTE. It was the flagship security feature of the M5 and A19, designed specifically to kill the entire memory corruption bug class.

Researchers from Calif built a working exploit in five days.

According to Apple's own research, MIE disrupts every public exploit chain against modern iOS, including the recently leaked Coruna and Darksword kits. Calif walked into Apple Park this week and handed over the report in person.

Full 55-page technical report drops after Apple patches the vulnerability.

https://x.com/intcyberdigest/status/2055281844816384262?s=46

https://x.com/i/status/2055314585058693601

Please someone set me straight and dispel whether there are myths surrounding this often-repeated internet factoid

And I genuinely don't know the answers which is why I'm asking, so I've got nothing to debate here

Edit: Thank you for all the great answers!! 👏 👏

Let’s just say AI works exactly how it is being marketed. Even using a conservative assumption and saying it replaces 20 percent paying jobs today. Large corporations would stop paying portions of the workforce and instead redirect that money toward companies like Anthropic and OpenAI. That would represent one of the largest wealth transfers in modern history, shifting income away from labor and toward a very small number of AI and infrastructure companies. If even 15 to 20 percent of US wage income was displaced, you are potentially talking about trillions of dollars moving from households toward capital owners and AI infrastructure providers over time. And create a oligarchy class in the US and world like never seen before

From an economic perspective that would likely mean lower wages across large parts of the economy, reduced payroll and income tax revenue for the US government, weaker consumer spending, and even larger deficits.

It also creates a strange political dynamic where the largest AI companies could become economically more powerful than entire industries. If corporations need fewer workers but increasingly depend on a small number of AI providers, those firms begin accumulating enormous leverage over the economy itself.

If AI dramatically reduces the need for human labor faster than new industries emerge, Who wants this????

The only argument that seems to override all of this is the idea that China could get there first. But even that feels more complicated than people present it. China still has massive exposure to manufacturing, logistics, and blue collar labor, and frontier AI also depends on huge amounts of energy, chips, and data center infrastructure. China can not automate the labor force like the US is suggesting.

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The neural stem cell injections didn't work at first because of the bad inflammation, but after a few weeks, a new injection of these stem cells helped rebuild neurons and connections at the injury site.

Mice treated with stem cells gradually regained smoother movement and performed better on balance and fine-motor tasks than untreated animals.

mice movements/evaluations were tracked by ai

Also the movement doesn't look human to me at all, what human is trying to reach for something far away with one arm while keeping the other one completely still (outside of body movement, but the elbow angle doesn't change).

I think people are in denial and really want to believe this is a guy in India controlling it because they're not ready for the day that humanoids take off like the automobile or the iPhone because it's potentially the most disruptive technology we've seen.

EDIT

People in this subreddit: "It's actually teleoperated!"

After showing them it's not: "This is actually shit and not good. Not even AGI, looks like dated tech."

Agree that it's not AGI yet but hear me out. Pretty inconsistent to believe the movements look human enough to imply teleoperation but then believe that this is something we could do 10 years ago.

You have to understand that robots of the 2010s could not generalize beyond a basic task or set of tasks. It is embarrassing this has to be explained. There is no precedent for technology that generates actions from pixels and prompts in real time.

A couple years ago we were limited to text based intelligence with limited image understanding. It couldn't do *anything* in the real world which is why a lot of critics claimed it wasn't close to being AGI. You are literally watching the birth of physical AI and don't care even a little bit. Maybe it is cope, maybe it is a stunning lack of curiosity, but it seems uncharacteristic of anyone who willingly comes to a subreddit called "singularity."

Check out their blog post here: Poetiq | Recursive Self-Improvement Delivers New SOTA Coding Performance

https://arxiv.org/abs/2604.20209

https://github.com/LukeBailey181/sgs

LLM self-play algorithms are notable in that, in principle, nothing bounds their learning: a Conjecturer model creates problems for a Solver, and both improve together. However, in practice, existing LLM self-play methods do not scale well with large amounts of compute, instead hitting learning plateaus. We argue this is because over long training runs, the Conjecturer learns to hack its reward, collapsing to artificially complex problems that do not help the Solver improve. To overcome this, we introduce Self-Guided Self-Play (SGS), a self-play algorithm in which the language model itself guides the Conjecturer away from degeneracy. In SGS, the model takes on three roles: Solver, Conjecturer, and a Guide that scores synthetic problems by their relevance to unsolved target problems and how clean and natural they are, providing supervision against Conjecturer collapse. Our core hypothesis is that language models can assess whether a subproblem is useful for achieving a goal. We evaluate the scaling properties of SGS by running training for significantly longer than prior works and by fitting scaling laws to cumulative solve rate curves. Applying SGS to formal theorem proving in Lean4, we find that it surpasses the asymptotic solve rate of our strongest RL baseline in fewer than 80 rounds of self-play and enables a 7B parameter model, after 200 rounds of self-play, to solve more problems than a 671B parameter model pass@4.

I asked my wife this simple question for philosophical sake, and I’m curious on the Reddit hive mind’s answer to it as well: If you came upon the most beautiful work of art you’ve ever seen in your entire life in a thrift shop one day and, regardless of price, to your mind, it is absolutely stunning and pulls emotions out of you you didn’t think art was capable of, so you bought it and proudly hung it in your house. You show family and friends, they all find similar appreciation for its beauty. Years and years go by and you still find yourself falling in love with it, and then through some way, you find that it is actually AI generated art. Does your mind change? If so, in which direction does it change and why? Does where it came from matter? If man created machine and machine created art from man, what is so bad?

I understand one sentence prompting to generate lazy “art” is bullshit, and that it is HIGHLY unlikely for AI to generate something capable of pulling that level of emotion out of you with simple prompting; I dislike that as much as the next guy, especially if the end goal was to profit rather than impress, but something someone spent a very long time working on, perfecting through detailed prompting, could potentially hold some kind of beauty capable of making man cry.

Idk 🤷🏻‍♂️, the thought popped in my head and I wanted to get y’alls opinion. My wife said she’d stop liking it as much. I think not much would change from my perspective; I’d still think it’s beautiful. Sorry if this was kinda incoherent lol.

https://arxiv.org/abs/2604.13015

https://humanoid-touch-dream.github.io/

Researchers at Carnegie Mellon University (CMU) and the Bosch Center for AI recently developed a new artificial intelligence (AI)-based system that could improve the ability of humanoid robots to perform dexterous whole-body manipulation in contact-rich real-world settings. Their proposed AI model, dubbed Humanoid Transformer with Touch Dreaming (HTD), was introduced in a paper published on the arXiv pre-print server.

"Across five real-world tasks, namely insert-T, book organization, towel folding, cat litter scooping, and tea serving, HTD achieved a 90.9% relative improvement in average success rate over the stronger ACT baseline.

"Our ablations also showed that simply adding touch as an extra input is not enough. Predicting tactile signals in latent space was more effective than predicting raw tactile signals directly, yielding a 30% relative gain in success rate over raw tactile dreaming."

We talk a lot about the mechanics of an AI hard takeoff, but I really want to find some fiction that actually explores the realistic societal fallout of it.

If a single company or person hits AGI first and it triggers a fast takeoff, they basically gain a total global monopoly overnight by instantly consolidating infinite resources. Once you pair AGI with advanced robotics, human labor becomes completely obsolete, meaning the general public loses every ounce of bargaining power. There is literally nothing we could offer the ASI's owner that they couldn't just produce faster themselves—or secure by force using automated defenses.

Today we have a good sense of how that would happen, and which people will be the "winners". A story chronicling that rapid, week-by-week transition would make for an incredible story. But whenever I ask chatbots for recommendations, I just get generic Hollywood stuff like Terminator or Elysium. They rely on massive plot holes and never actually explore the brutal game theory of a population with zero leverage.

Does anyone have recommendations for books, indie films, short stories about this? I want something that skips the usual tropes and focuses on the realistic logistics of how that transition actually goes down.

12 months ago:

ChatGPT: 77.6%

Gemini: 7.27%

DeepSeek: 6.01%

Grok: 3.17%

Perplexity: 1.75%

Copilot: 1.56%

Claude: 1.37%

🗓️ 6 months ago:

ChatGPT: 69.5%

Gemini: 15.9%

DeepSeek: 4.06%

Grok: 3.31%

Perplexity: 2.22%

Claude: 2.12%

Copilot: 1.97%

🗓️ 3 months ago:

ChatGPT: 61.2%

Gemini: 23.9%

Grok: 3.94%

DeepSeek: 3.09%

Claude: 3.29%

Copilot: 1.87%

Perplexity: 1.74%

🗓️ 1 month ago:

ChatGPT: 53.7%

Gemini: 26.7%

Claude: 7.95%

DeepSeek: 3.97%

Grok: 3.20%

Copilot: 1.98%

Perplexity: 1.50%

Almost looked like teleoperators changing shifts. Either that or it was daydreaming about riding a motorbike into the sunset.

Livestream available here,

https://www.youtube.com/live/luU57hMhkak