1/ The end of manual CRMs

Most CRMs fail because they force manual typing, so data rots the moment a meeting ends -yet CRM’s core job is the vital, grueling task of logging every customer touchpoint, and in the AI era this human bottleneck turns dynamic relationships into a slow, error-filled slog that no team can sustain. Lightfield fixes that by auto-capturing all interactions—calls, emails, Slack, notes - so it’s the first CRM that truly knows your relationships as well as you do. 2/ Imagine querying a CRM with something tough, like “What are my 3 biggest opportunities right now?“—it would sift through tables, objects, and conversations to deliver a clear, evidence-backed response. This shifts beyond basic dashboards toward something more like a reasoning layer for pipeline insights.

1/ Bloomberry crated a very intersting analysis of AI and the job market. Here is the tl;dr version.

- Job-postings fell around 8% in 2025 vs 2024 — giving the baseline for comparison

- Roles grounded in creative “execution” (e.g., 3D artists −33 %, photographers −28 %, writers −28 %) showed the steepest declines.

- In contrast, strategic / leadership / technical jobs — e.g., ML engineers +40 % — rose sharply, reflecting where growth is concentrated.

The most important charts 🧵: 2/

1/ This changes everything: scientists have created a protein-based gel that can regrow natural tooth enamel - the hardest tissue in the human body and one we thought could never heal. It’s not repair in the old sense, it’s true biological regeneration. 2/ Until now, enamel loss was permanent. Acid, brushing, or aging would wear it down - leaving us with cavities, pain, and expensive treatments. Humans can heal bone and skin, but not enamel, which made dental decay one of humanity’s most persistent flaws.

1/ Everyone’s talking about trillion-dollar labs and billion-dollar compute.
But a 50-person team just ranked among the top 3 AI video models in the world. 2/ Artificial Analysis just ranked LTX-2 Pro #3 in Image-to-Video and #4 in Text-to-Video — shoulder to shoulder with OpenAI, Google, and Alibaba.

1/ The biggest longevity lifehack: Eat nothing for 72 hours, and your body may rebuild your immune system from scratch.

Researchers found that prolonged fasting doesn’t just burn fat, it triggers a full regeneration process inside your body. The discovery could redefine how we think about aging, immunity, and recovery.

Literally a cheat code for self-healing and longer living, without the hype; even in cancer-therapy!

Lets break it down, a thread 🧵: 2/ Over time, our immune system weakens. Old, damaged white blood cells build up, while stem cells that could replace them stay dormant. Chemotherapy and aging make this even worse - leaving the body defenseless and slow to heal.

1/ Cancer research is on the brink of a major shift: a breakthrough treatment uses engineered Salmonella bacteria that self-destruct inside tumors, turning them into immune hot spots. This could change cancer therapy as we know it.

Lets break it down, a thread 🧵 2/ The challenge with cancer: tumors hide in plain sight, escaping immune detection. Traditional therapies like chemotherapy often damage healthy cells too, leaving the body weakened. We need smarter, more precise strategies.

1/ DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning

This changes everything: Researchers are teaching large language models to develop independent, deep thinking - without humans dictating every single step of the thought process. A game changer for AI performance and autonomy.

Lets break it down, a 🧵 2/ Many models are currently only able to perform well in calculations or solve standard tasks when humans guide them step by step (“chain of thought”) or provide examples. This dependency costs time and money and limits what is possible.

1/ This new mRNA cancer vaccine changes everything: researchers stimulate the immune system so strongly that tumors in mice simply disappear—not in a targeted manner, but universally. This could redefine cancer treatment.

Cancer could very soon be a thing of the past.

Lets break it down - a 🧵 2/ Until now: Cancer treatments have often been tailored or aggressive (surgery, chemotherapy, radiation). Immunotherapy only helps if tumors have certain markers — many remain resistant or respond poorly.

I probably sound like a broken record, repeating myself over and over again. But as we have seen recently, Dario Amodei is doing much the same thing: he is issuing urgent, emphatic warnings.

He says he firmly believes that if the development of AI continues as he believes it will, we will see massive upheavals in the labor market and high double-digit losses in the labor market in a few years.

Specifically: legal, finance, and everything that counts as white-collar work.

I've linked a few videos in the comments from people who have created good clips.

But I want to say one thing: take his words seriously. We need to have the discussion now about what our economy should look like in a few years!

https://x.com/WesRothMoney/status/1965429999198245146

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.