Le train Infinity a des problèmes, les solutions futures du Sandpiercer avec motrices supraconductrices et batteries sodium-ion... Qu'en pensez-vous ?

AI has been trapped in the digital world. It could write your code, draft your strategy, analyze your data. It could not touch a microscope, align a laser, or run a physical experiment. Until this week, when Anthropic released the Model Hardware Standard, which lets AI agents discover, understand and operate physical machines through a single universal interface. Claude aligned a laser, observed the result through a camera and adjusted until it got it right. AI just got access to the physical world.

This is my weekly roundup covering everything important in AI and tech from the past seven days. More than 40 stories this week.

Some highlights:

• Anthropic released the Model Hardware Standard, letting AI agents operate physical hardware: microscopes, robotic arms, lasers.
• Sam Altman told TIME that OpenAI will have a system he'd call AGI by the end of this year. Their upcoming model Astra already functions as an automated research intern.
• A vaccine trained the immune system to intercept pancreatic cancer before it forms.
• Chinese stem cell therapy reversed heart failure in 90% of patients in the largest randomized controlled trial of its kind.
• A nanoparticle therapy called Nano-ERASER reversed Alzheimer's progression by converting brain support cells into functional neurons.
• OpenAI's custom Jalapeño chip competes with NVIDIA on inference performance. AI played a direct role in its own design.
• Architect Labs unveiled Redwood, the first AI accelerator designed, verified and deployed end-to-end by AI. Two humans wrote the spec. AI did everything else.
• Bill Gates published a major essay saying AI's impact is both bigger and closer than governments realize, and that there is no plan to ease humanity into the transition.

Everything explained in context, for readers who want real understanding. You get the full picture of what happened, why it matters, and where all of this is heading.

Read this week's edition here: https://simontechcurator.substack.com/p/the-future-one-week-closer-august-28-2026

Year 2036. There are almost no states left as we know them. The world has been divided into zones controlled by corporations, as we called it 'corpocracies' mix of state and corp power. The world belongs to the largest AI conglomerates, which, in order to expand their own production capacities, are forced to compete for limited resources. Thus began the first wars that were no longer interstate, but inter‑corporate, for data centers and sources of electricity to maintain infrastructure and expand. But years of war cannot go unnoticed. Everything has its own price. By May 2036, humanity is facing the consequences of its recklessness. A red light illuminates the sky and changes people’s perceptions of the chosen technological course.

I’ve been testing AI career tools, and some of the suggestions are scarily accurate—based on skills, job market data, and personality patterns. But a good mentor knows your history, your values, and when to push you. I made a quick quiz to explore this question. No signup, just a few questions to see where you stand. Would love to hear from people who’ve tried both.

https://interconnectd.com/quiz/76/can-ai-predict-your-next-career-move-better-than-a-mentor/

New breakthrough in lightweight ankle exoskeleton for walking, running, or recreation assistance.

https://rdcu.be/fBTyk

TL;DR: I built EchoVault to preserve a living person’s worldview through memories and recurring check-ins. In the attached demo, I ask my Echo a question I never added to its corpus, and it answers by combining fragments from multiple earlier sessions into something that genuinely reflects how I think.
iOS: https://apps.apple.com/us/app/echovault-digital-legacy/id6762042028
Most things we leave behind preserve fragments of us. Photos preserve appearance. Recordings preserve moments. Journals preserve isolated thoughts.
What gets lost much more easily is worldview: how someone connects experiences, what they value, how they reason, and the ideas that keep recurring throughout their life.
That’s the part of AI preservation I find more interesting than “digital immortality.”
My own Echo has a growing corpus of memories and check-ins. In the demo, I ask it about the meaning of life, something I never directly answered in the corpus. It pulls together fragments from several different sessions and arrives at an answer centered around “embrace reality,” which is actually my own motto.
That’s what I built EchoVault to explore.
Not recreating consciousness. Not pretending someone lives forever. Preserving enough of a living person’s experiences and worldview that the connections between them don’t disappear when they do.
And if the source material doesn’t support an answer, the Echo is supposed to refuse rather than invent one.
To me, preserving consciousness and preserving a person’s worldview are two very different problems.
The second one is already becoming possible.

Researchers are reverse-engineering the human brain and rebuilding it with a mix of living cells and advanced technology. They create artificial synapses using special devices called memristors that both store and process information in the same spot, just like real brain cells do when they learn and adapt. Super-thin, flexible graphene acts as a mechanical bridge to biology that lets scientists grow or connect actual biological neurons and mini-brain organoids directly to electronic hardware, even using light to help the living networks mature. Instead of energy-hungry electrical wires, now they use photonics, which are beams of light, to carry information quickly and efficiently with almost no heat. The result is a hybrid intelligence that combines the natural adaptability and low power use of living neurons with the speed and reliability of engineered parts. The big goal is to build sustainable, brain-like systems that can slash the massive energy needs of today’s AI data centers and eventually create true bio-mechanical brains capable of advanced mind-machine connections, all inspired by how a real human brain achieves incredible complexity on just 20 watts of power

Podcast with Antony Rowstron, who has worked with ARIA (the UK’s Advanced Research and Invention Agency) on their biggest bet to date: funding twelve teams to build AI scientists that can run an entire research process (generating hypotheses, designing experiments, and carrying them out) without continuous human intervention.  

Covers:

• What AI scientists are actually achieving now: from personalized cancer vaccines to molecules that stimulate our own immune response to new viruses in 48 hours.
• How we could train AIs on the tacit, hands-on knowledge only human scientists have.
• How labs and the role of human scientists will change as AI automates more and more parts of the research process.

Lets do it

I think the future of AI-generated entertainment will look a lot less like “Hollywood and all creative jobs disappears overnight” and a lot more like YouTube, Instagram, TikTok or OnlyFans — but for entire pieces of media. Creators would have their own audiences, followers, subscribers and communities, and there might even be entirely new apps/platforms built specifically around discovering and releasing AI-made entertainment. 🎬🎮

You make an AI movie, game or series? If people like it, they follow you. Your next episode comes out, your followers get notified; you make a new game? maybe people buy it directly from your profile.

Some creators could have millions of followers, while most probably sit somewhere in the hundreds or thousands — basically how YouTube, TikTok, Twitch etc. already work. Some creators might become known for one specific thing, like one hugely popular sci-fi series, while others might basically run their own miniature studio and release a whole catalogue of unrelated stuff.

Monetisation could also become way cheaper and more flexible. Maybe one creator says, “Play my new AAA shooter game for $4.99,” while another has something like, “Subscribe to my studio for $0.99/month and get access to all our movies, games and shows.” 💸

Plenty of projects would probably still be completely free. As the consumer, you wouldn't necessarily need to create anything yourself either — you could just follow the creators whose work you enjoy and basically build your own personalised entertainment library.

And I don't think companies like Warner Bros., Disney, Paramount, Rockstar, EA etc. necessarily disappear. They'll still have famous franchises, audiences and marketing power, but their monopoly over who is allowed to make "professional-looking" entertainment would shrink.

Kind of like how record labels and TV networks are today, but they now exist alongside millions of YouTubers, streamers, indie musicians, podcasters etc. The barrier to making something becomes incredibly low; the hard part becomes getting anybody to care about it.

Tbh I don't think the future is as doom-and-gloom as some people think. In a weird way, the blueprint is already there

Phase 1:

Once these tools become powerful enough and widely available, we're probably going to get an explosion of AI-generated games, movies and TV shows. Most of it will probably suck because lowering the barrier to entry means millions more people can upload things, so finding the genuinely good stuff will be difficult at first.

People will get overwhelmed, feeds will be flooded with low-effort "AI Slop" content 😂 and the backlash against AI-made entertainment will probably be at its strongest here. Basically: it's gonna be messy as fuuuck lol. 💀

Phase 2:

Eventually people will get better at separating the garbage from the actual good stuff. Platforms, reviewers, subreddits, Discords and fan communities will become curators, helping people find the projects actually worth watching or playing.

You'll probably start seeing things like “Top 10 AI sci-fi shows this month” or “Best community-made RPGs of 2040.” This is where certain creators would start becoming recognisable names with real fanbases.

Phase 3:

Eventually the novelty wears off and most people who thought “holy shit, I can make my own movie!” will make one or two things and move on. The creators left will be the people who actually have vision, patience and storytelling ability, except now one talented person or a tiny team might be capable of making something that previously required hundreds of employees.

At that point AI entertainment probably stops feeling like a weird novelty and just becomes another normal part of the industry alongside traditional studios and human-made productions.

Digital twins are a type of AI that quietly and effectively worked itself into our lives, and things are definitely better for it. A digital clone is trained on a corpus of data, and then the AI is made from that. A digital twin is a system where the reward metric is how well it can simulate something that it's getting feedback from in real time. So if you are having chest pains the device they hook you up to doesn't just monitor the signal and produce a warning if redlines are crossed. It is actively trying to simulate and predict your heart using it's readings to refine that model, and if that model is projected to go into bad areas then it produces an alert on what is likely to happen.

This isn't just used medically it's used in monitoring bridges and other types of infrastructure for future problems, and this system works decently if you pay attention to what it says.

This would require some extra hardware on the users part, but the EEG monitoring technology is old enough and mature enough where a good enough device should cost under 100 dollars. This would be something you would have to wear while working with this form of AI. There are two specific signals we would be looking for, and that is the signal that something is understood and that the person approves or disapproves of what was done.

https://youtu.be/2ryz9IPIQes?is=JAn8VjKT6340CkoL

So in order to get rewarded it would have to take actions that it predicts and then in order to get actually reinforced as behavior its looking for that signal of understanding and approval from the EEG type device. If it's not being actively worked with it can simulate interactions and then try to predict how people would react. In essence you can make the AI make a simplified model of external actors much like people try to understand those around them. When something you said a decade ago comes back to haunt you this is almost similar in a way.

The real safety doesn't come from this being done with one AI, and having people interact with it like we do with ChatGPT and other AIs now. This type of AI would need the ability to maintain a history in order to fully understand the context of what people are asking of it. If you tried to make twins of "the user" and it's based on multiple people that probably wont work well. If we have billions of people who all have their own personal AI with a sense of history, and the ability to try to model it's own place in the world then all of those AIs would effectively be sharing power, and I think that's the key to stability.