Agent skill + stdlib Python service to strip multi-vendor AI provenance marks from text and files — for privacy and hygiene on content you own. The skill is a thin client: it drives the machinery over HTTP, so the agent host needs no Python.
Here is an interesting AI video called “”. (It is not an adult-only video.)
Outside it’s hot. Inside it’s STEAMY.
Aubrey de Grey believes ageing is accumulated damage in a biological machine and argues that medicine may eventually become capable of repairing that damage faster than it appears. He gives humanity a 50/50 chance of reaching what he calls “longevity escape velocity” within the next 12–15 years.
Peter and Aubrey discuss why the body ages, the seven categories of damage that must be repaired, stem-cell and gene therapies, the mouse experiment that could transform the field and why Aubrey believes rejuvenation treatment will ultimately be available to everyone rather than reserved for the wealthy.
They also explore what happens to population, work, fertility, relationships, religion and the meaning of life if people stop getting sick from ageing. Aubrey explains why AI cannot replace the missing biological experiments, why longevity research remains so difficult to fund, and why he is driven by the 110,000 people he says die from ageing-related causes every day.
TIMESTAMPS:
00:00:00 — Trailer.
00:00:48 — Can We Cure Ageing?
00:04:24 — The 12–15 Year Prediction.
00:06:17 — The Body Is a Machine.
00:15:21 — How Aubrey Entered Longevity.
00:18:45 — Would You Want to Live Forever?
00:20:15 — Does Longevity Change Risk?
00:21:53 — Will Population Explode?
00:24:22 — Can You Choose Your Age?
00:30:19 — The Seven Types of Ageing Damage.
00:36:54 — What Rejuvenation Treatment Looks Like.
00:45:35 — Will It Be Expensive?
00:48:39 — Who Would Refuse It?
00:53:00 — Why Longevity Research Lacks Funding.
00:56:02 — The Mouse Experiment.
01:00:18 — The Breakthrough That Changes Everything.
01:01:35 — Does Death Give Life Meaning?
01:05:22 — Bryan Johnson and AI
01:12:32 — AlphaFold, AGI and AI Risk.
01:15:13 — Why Funding Is So Hard.
CONTACT PETE:
› Website – https://www.petermccormack.com/
› Feedback – https://www.petermccormack.com/contact.
› Email – [email protected].
› Instagram – / mccormack555
› X/Twitter – https://twitter.com/petermccormack/
CONNECT WITH AUBREY DE GREY:
Because adding a quick instruction to an AI’s guide file is fast and low-risk, developers continually tack on new rules whenever the AI makes a mistake (e.g., “Don’t use library X,” or “Always run tests with flag Y”). Over time, however, the original context and reasoning behind older instructions fade from human memory.
Agent instruction files like CLAUDE.md exhibit unbounded growth due to “catastrophic remembering,” a process where the original rationale for instructions is lost, making safe deletion difficult…
A company’s ability to survive throughout a large portion of the industrial era rested on well-known fundamentals: capital, clients, staff, intellectual property, physical infrastructure, dependable suppliers, and efficient management. These principles are still important. However, digital trust and resilience have become an additional factor in organizational survival due to the global economy’s digital transition.
Interconnected networks, cloud computing, software, data, digital identities, third-party providers, Internet of Things (IoT) devices, artificial intelligence, and increasingly intricate technology ecosystems are now essential to nearly every enterprise. Therefore, the security of a modern organization depends on the digital relationships and technology it uses.
Central europe is engineering the AI fortress of the future.
Barron’s reveals how Poland is rapidly positioning itself as Europe’s next digital powerhouse through massive American hyperscaler capital, aggressive government policy, and returning native engineering talent.
While Western Europe stagnates under heavy bureaucracy, Warsaw is quietly building a high-performance compute vault to anchor sovereign digital infrastructure across the continent.
Poland surpassed the 1 trillion dollar annual output milestone in 2025, taking 20th spot globally. World Bank reports project AI adoption could boost Polish GDP by up to 12.1 percent over the next decade.
U.S. giants are already all-in: Amazon committed over 5 billion dollars through 2028, Microsoft spent 1.7 billion on hyperscale cloud regions, and Google signed strategic government agreements to accelerate deployment. Local agency KRiBSI is committing over 106 million dollars to bid for one of the EU’s medium-scale AI gigafactories housing 75,000 accelerators.
Private infrastructure lead Beyond.pl is scaling Nvidia-powered hubs, while startups like ElevenLabs, Nomagic, and Synerise head toward massive global markets.
The Sovereign Compute Pivot.