1/ The first big announcement: Google DeepMind has unveiled Genie 3
A new frontier for world models, the first AI that generates interactive 3D worlds in real time at 24 fps.

The breakthrough: minutes of consistency at 720p using only text descriptions. No pre-built 3D models required.
Let's break it down - with some examples: 2/ How does it work? Genie 3 creates worlds frame by frame, remembering up to a minute of past scenes. You enter a text prompt, navigate in real time, and the AI dynamically adapts the world to your movements.

With “Wide Research,” @ManusAI_HQ is bringing about a fundamental change in agentic work.

I instructed the tool to scan 100 scientific articles – including titles, abstracts, authors, journals, year, number of citations, institution, and country. Everything was automatically written into a table, sorted by relevance and impact.

The result: an immediately usable overview of the global research landscape. Ideal for science journalism, strategies in health tech – or simply to have more informed discussions.

Wide Research is rethinking research:

– Parallel scanning instead of individual queries
– Data directly usable for Notion, Excel, or video scripts
– Saves time, reduces costs – without compromising on depth

Here is the prompt: Use the Wide Research function.

Objective: Conduct a meta-analysis of 100 scientific articles on the topic of “Artificial Intelligence in Medicine.”

For each article, please record the following information:

1. Title of the article

2. Short abstract (2–3 sentences)

3. Name of the author(s) (first name + last name)

4. Year of publication

5. Name of the journal or source

6. Number of citations (if available)

7. Institution or university (if available)

8. Country or region of the main author

9. Link to the original source or DOI

Compile the results in a structured table. Sort by relevance and citation frequency. At the end, provide a brief overview by country/region (e.g., US, China, Germany) of how many studies come from each region.

Target audience: Readers with an interest in science who want to quickly gain an overview of research activities in the field of AI and medicine.

1. Microsoft presents medical superintelligence

Microsoft's LLM is not only designed for multiple-choice questions, but also for real medical diagnoses in realistic scenarios – and outperforms even top models such as o3.

This is a bigger breakthrough than much of what we are currently seeing. Let's take a look: 2. Microsoft has taken a decisive step toward medical superintelligence with the MAI Diagnostic Orchestrator, a system that has the potential to fundamentally change everyday medical care. At its core is an orchestrated collaboration between several highly developed AI models such as GPT-4, Gemini, Claude, and others. Instead of relying on a single model, these agents work together like a digital team of experts – discussing, analyzing, and weighing diagnoses in a structured “chain of debate” process. This approach is novel because it replicates complex decision-making processes that were previously the preserve of human medical teams.

1. Compute is the new gold.

The current breakdown is as follows:

US companies (Amazon, Google, Microsoft)8
~63 %

China (Tencent, Alibaba, Huawei)3
~28 %

Europe (e.g. OVH, Hetzner, Exoscale)6
~4 %

Rest of the world
~6
~5 %

What does it mean? Lets have a look: 2. A new digital divide is emerging: Only 32 countries have specialized AI data centers - mainly in the US, China and Europe. Africa, South America and large parts of Asia have little or no access to this infrastructure. This leads to a dramatic imbalance in research, economic development and technological progress. Countries without data centers have to rent expensive resources, are slower and dependent on tech giants from abroad.

Google DeepMind's AlphaGenome

Alongside Gemini-cli, Google has unveiled DeepMind AlphaGenome, an AI model from DeepMind that can simultaneously predict multiple biological functions from long DNA sequences - in particular, how genes are regulated and how genetic variants affect their activity.

I explain why this is a breakthrough and can be compared with AlphaFold here: 🧵 AlphaGenome is a new AI model from Google DeepMind that takes the understanding of the human genome to a new level.

Unlike previous systems, which often only analyze short sections of DNA or focus on individual tasks, AlphaGenome can examine extremely long sequences - up to one million base pairs - simultaneously and predict multiple biological functions.

I had the opportunity to test @Skywork_ai —thanks to the kind provision of access. I tried out the new “slides” feature and produced a video showing how I use it.

You can see the result for yourself: one shot, it worked right away. What used to take hours of research and transferring everything into a PowerPoint presentation can now be done in a few minutes. Below, I'll show you how it works, including the prompt. The prompt is as follows:

Create a full PowerPoint presentation in English titled
“The Future of Technology,” consisting of 7–10 slides.
Each slide should follow a clear structure and visual logic, and the tone should be professional, engaging, and suitable for a tech-savvy audience (business, academia, or innovation-focused stakeholders).

Slide Structure: Title Slide – with presentation title, subtitle, and a futuristic visual theme Introduction – Why technology matters today and how it's shaping our future AI and Machine Learning – key trends, breakthroughs, and real-world applications Quantum Computing – explanation, current state, and future impact Sustainable Technologies – clean energy, smart cities, climate tech Biotech & Health Innovation – longevity, genomics, and AI in diagnostics The Role of Robotics & Automation – in industry, logistics, and daily life Ethical Challenges & Regulation – privacy, bias, and control in a tech-driven world Future Outlook – visionary trends (e.g., brain-computer interfaces, AGI) Closing Slide – powerful quote + key takeaway message Add concise bullet points, clean visuals, and optionally suggest design elements or icons per slide. Avoid large text blocks.

Could this be the solution for climate-change?

Researchers are developing a living material that actively extracts carbon dioxide from the atmosphere, using photosynthetic cyanobacteria that grow inside it.

Lets have a look at this research: 1. A research team at ETH Zurich has succeeded in developing a novel building material that not only grows but also actively binds carbon dioxide from the atmosphere. The basis for this is a hydrogel that is 3D-printed into the desired shapes.

Scientists Discover the Key to Axolotls’ Ability to Regenerate Limbs

The next huge breakthrough in medicine. The axolotl can regenerate and regrow entire body parts. Humans also have the ability to do this! And researchers have now found a way for humans to do the same.

What sounds like a sci-fi dream is becoming reality. I'll explain it to you here: 1. The axolotl is one of the few animals that can regenerate entire limbs, parts of its heart or spinal cord. For a long time, it was unclear how its cells know exactly what is to be regenerated - for example, just a hand or a complete arm.

CRISPR used to remove extra chromosomes in Down syndrome and restore cell function

This is a big breakthrough. Finally a causal therapy that offers a solution - a novelty.

How does it work and why is it so important? Let me explain: 1️⃣ A team of researchers at Mie University in Japan has achieved a groundbreaking breakthrough: Using CRISPR-Cas9 technology, they have succeeded for the first time in removing the extra chromosome 21 - the cause of Down syndrome - specifically from human cells.

#1 The coming unemployment caused by AI: a (brief) analysis

The economic debate continues to be dominated by two camps: one claims that AI will replace jobs, but that overall more new jobs will be created. The other camp sees the opposite: AI will replace significantly more jobs than it creates. I write about this topic regularly because it is the most important issue of our time and affects us all.

This post is a little longer, but I want to present a well-argued case (written without AI, all by myself). I welcome critical counterarguments.

So who is right? Let's try to find some answers: #2 First, the nature of the economy: The world of work is not a moral place where consideration is given to people's feelings. The world of work is competitive; that is a fact. Companies compete for sales markets, for supremacy, for market dominance. Samsung versus Apple, NVIDIA versus AMD, Meta and Grok versus OpenAI, and so on.

What counts here (especially for shareholders) is the expectation for the future, and this is shaped in such a way that companies do everything they can to maximize profits, not because they are greedy, but 1) because they are obligated to their shareholders (if they are listed on the public market) and 2) because profit means reinvestment in new assets and thus a competitive advantage. In short, profit has nothing to do with morality or greed, but is a necessity in capitalist competition.

Trump administration's whole-government AI plans leaked on GitHub

The Trump administration is preparing for the widespread use of AI in all government agencies. The entire document has been leaked. Here is the summary: 1. At the heart of this is the “AI. gov” project, developed by the General Services Administration (GSA) in collaboration with Technology Transformation Services (TTS) under the leadership of Thomas Shedd.

Meta has hired Scale CEO Alexander Wang. This move is part of a strategic goal. After ultimately falling short of expectations with Llama 4 and not releasing “Behemoth” as planned, Mark Zuckerberg is looking for ways to realign AI at Meta.

Here's a summary of what Scale has to do with this: 1. Meta had to act because its in-house LLaMA 4 models – especially the more powerful variants such as the model internally known as “Behemoth” – fell significantly short of expectations. Although Meta originally scored points with LLaMA as an open-source alternative to OpenAI and Google, the latest iterations showed weaknesses in complex reasoning, tool usage, and long-term planning – precisely the skills that are currently decisive for progress toward agentic systems and superintelligence.

Church lab automates 12 years of research in 2 days

Sometimes I have the privilege of receiving emails from people telling me about their breakthroughs. In such cases, it gives me great pleasure to help advance scientific knowledge by giving it a little reach with my modest means. And what these young scientists have discovered is enormous!

They have accomplished 12 years of scientific work in 2 years, automating systematic reviews – and reportedly doing so about 3000 times faster than a human team.

Let's take a closer look: 1. otto-SR is a new AI system designed to radically accelerate and improve systematic reviews in medicine. It is based on the GPT-4.1 and o3-mini models and performs tasks that would otherwise take weeks or months – from screening and data extraction to meta-analysis. In a test run on preoperative nutrition, otto-SR identified 114 relevant studies, while the original human review found only 64. This even changed the result: a previously insignificant finding became significant.

SEAL: LLM That Writes Its Own Updates Solves 72.5% of ARC-AGI Tasks—Up from 0%

This is a breakthrough that is rarely seen and could open up undreamt-of possibilities. In the following, I will go into more detail and summarize this breakthrough: 1. Large language models (LLMs) are powerful tools, but their architecture has a fundamental limitation: they are static after training. Their knowledge and abilities are essentially frozen at the level of their last training. New research from the Massachusetts Institute of Technology (MIT) now presents a promising solution: the SEAL (Self-Adapting Language Models) framework. This system enables an LLM to generate its own model updates and thus adapt persistently to new tasks and information.

1. Machanize wants to abolish all jobs. They make no secret of this. They are developing an AI program that is extremely promising and is being financed by everyone from Google to Stripe.

Here is an insight into the company and how they are doing it: 2. Mechanize, a young start-up from San Francisco, makes no secret of what it really wants: to eliminate all jobs - as quickly as possible. While previous tech companies hid their automation plans behind euphemisms such as “increasing productivity” or “assistance systems”, Mechanize says it openly: The goal is a fully automated economy. Behind it are three founders - Tamay Besiroglu, Ege Erdil and Matthew Barnett - with research backgrounds at Epoch AI.

1. "We are past the event horizon; the takeoff has started. Humanity is close to building digital superintelligence, and at least so far it’s much less weird than it seems like it should be."

Sam Altman has once again published an article on his personal blog. It is nothing less than a glimpse into the future. Here I summarize the most important quotes: 2. "AI will contribute to the world in many ways, but the gains to quality of life from AI driving faster scientific progress and increased productivity will be enormous; the future can be vastly better than the present. Scientific progress is the biggest driver of overall progress; it’s hugely exciting to think about how much more we could have."

Reinforcement learning is changing everything—from the way AI thinks to the billion-dollar infrastructures of tech giants.

Semianalysis has written a long essay explaining why models can suddenly work coherently for long time what this means for the future, and how it works.

Here is a summary of the key aspects: 1. While the whole world is talking about ChatGPT, a revolution is taking place in the background that is turning the entire AI industry upside down. Reinforcement learning is the real reason why models such as OpenAI's o3 can suddenly solve complex math problems and work coherently for hours on end. What used to only work in chess and Go is now transforming the way machines learn to think. This development will cost billions of dollars and disrupt the entire infrastructure of tech giants.

Dario Amodei never tires of outlining the serious impact on AI. Many now see him as an AI doomer, but he is simply trying to warn us about what is coming.

Why is this so important? Let me explain: 1. The warning from Anthropic, a leading AI startup, sounds drastic: We are facing a “pretty terrible decade” in which white-collar entry-level jobs in particular could be automated on a large scale. Behind this is a combination of technological progress, economic pressure, and political passivity.

Palantir CEO Alex Karp:

“Those of us in tech cannot have a tin year to what is this going to mean for the average person”

Dario Amodei is now joined by the Palantir CEO, who warns of major upheavals:

“We have to will it to be, because otherwise we’re going to have deep societal upheavals that I think many in our elite are just really ignoring,” Karp said.

Here is why: #1 In a recent interview, Alex Karp, CEO of Palantir, warns urgently of the social upheaval that the rapid use of artificial intelligence could bring. His central message: if AI is introduced unregulated and without political design, there is a risk of profound social destabilization - above all through the loss of traditional entry-level jobs.

Apple doesn't see reasoning models as a major breakthrough over standard LLMs - new study

Here is why: In its latest study, The Illusion of Thinking, Apple questions the widespread assumption that large language models are already capable of real logical thinking - i.e. real “reasoning”. Instead of a cognitive breakthrough, the Apple researchers see a kind of illusion: the models merely create the impression of thinking without actually having stable, comprehensible thought processes.

Lets freaking go: ‘This is revolutionary!’: Breakthrough cholesterol treatment can cut levels by 69% after one dose

Countless people die from cardiovascular diseases. The biggest problem: heart attacks due to calcified arteries.

Without exaggeration, this could be over forever with a single injection!

Let me explain how it works: 1. A new gene therapy from Verve Therapeutics is currently causing quite a stir because it could herald a genuine medical revolution: VERVE-102, as the therapy is called, has shown in initial clinical trials that it can reduce LDL cholesterol - the “bad cholesterol” - by over 50 %,