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Our latest AI integration equips Reform with a causality-focused ML model that uncovers the mechanisms driving relationships between variables. By employing advanced algorithms, this method can detect “confounders”. A confounder is a variable that influences both the cause and effect variables being studied, which can distort the apparent relationship... between them. The system uses a machine learning approach to identify and remove these confounders, which reveals genuine causal effects. This approach provides Reform with a more robust foundation for decision-making, enabling more effective guidance that addresses the root causes rather than superficial correlations. In addition to this, the AI integration includes models for forecasting precursor events and predicting prices, among other methods that enhance the system’s capabilities. Interested in diving deeper into these methods? Read our latest case study today.show more

Reform DAO

130,292 subscribers

40,226 次观看 • 2 年前 •via X (Twitter)

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Reform DAO 的头像

Reform DAO2 年前

Read here:

tomcat 的头像

tomcat2 年前

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Coin Agend 的头像

Coin Agend2 年前

👀🔥

Favejohn #WID 的头像

Favejohn #WID2 年前

Nice one $RFRM

꧁IP꧂ 的头像

꧁IP꧂2 年前

Nice

NFT Nate 的头像

NFT Nate2 年前

In my opinion it's useful for everyone 💥

MooRiii 的头像

MooRiii2 年前

ふむふむ。わからん

0xorck.base.eth(✸,✸)(Ø,G)🦙🔥꧁IP꧂ 的头像

0xorck.base.eth(✸,✸)(Ø,G)🦙🔥꧁IP꧂2 年前

Congrats $RFRM

Farhan Ali .fuel .DEVE 的头像

Farhan Ali .fuel .DEVE2 年前

good to know that

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Big step forward for root cause analysis in real-world applications! There’s a new method that will help identify the causes of a problem or event. It uses causal discovery, boosting trees together with TDA. This is crucial to enable root cause analysis in tasks like the following: • Fraud detection • Drug discovery • Customer behavior analysis • Energy and sustainability • Financial analysis and risk management • Failure analysis in engineering systems Topological data analysis (TDA), on the other hand, studies the topological properties of data sets. You can use TDA for clustering, classification, and anomaly detection. The team DataRefiner developed a new approach to integrating causal discovery with TDA segmentation, and they are getting the best results from anything in the market right now. For the first time, there's a tool where users can choose clusters and get a focused causal dependency graph. They use boosting trees to estimate causal effects in complex systems. They complement this approach with TDA by offering insights into potential causal pathways. With TDA, users can visualize and understand the relationship between variables. Most open-source systems struggle with categorical parameters or values with different scales. This new approach doesn’t have those problems. Look at the attached video to understand what you can do with this. Here is a link to a post with all of the details. It contains three detailed examples that will drive the idea home: Thanks to DataRefiner for sponsoring this post.

Big step forward for root cause analysis in real-world applications! There’s a new method that will help identify the causes of a problem or event. It uses causal discovery, boosting trees together with TDA. This is crucial to enable root cause analysis in tasks like the following: • Fraud detection • Drug discovery • Customer behavior analysis • Energy and sustainability • Financial analysis and risk management • Failure analysis in engineering systems Topological data analysis (TDA), on the other hand, studies the topological properties of data sets. You can use TDA for clustering, classification, and anomaly detection. The team DataRefiner developed a new approach to integrating causal discovery with TDA segmentation, and they are getting the best results from anything in the market right now. For the first time, there's a tool where users can choose clusters and get a focused causal dependency graph. They use boosting trees to estimate causal effects in complex systems. They complement this approach with TDA by offering insights into potential causal pathways. With TDA, users can visualize and understand the relationship between variables. Most open-source systems struggle with categorical parameters or values with different scales. This new approach doesn’t have those problems. Look at the attached video to understand what you can do with this. Here is a link to a post with all of the details. It contains three detailed examples that will drive the idea home: Thanks to DataRefiner for sponsoring this post.

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90,199 次观看 • 2 年前

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I've built it for you!! It's an automated AI system that analyzes AI case studies (you can change the use case) to identify and document enterprise-level AI implementations. It starts by reading URLs from a CSV file and uses web scraping (either through WebLoader or Firecrawl) to extract the content from each case study. The extracted content is then sent to Claude 3.5 Sonnet, which analyzes whether the case study represents a genuine enterprise AI implementation based on specific criteria like company maturity, implementation scale, and measurable business outcomes. For each URL, the system first saves the raw content and then performs this initial qualification analysis. If Claude determines that a case study qualifies as an enterprise AI implementation, the system proceeds to generate a detailed analysis. It creates three types of reports: - an individual case study report with sections like Executive Summary, AI Strategy Analysis, and Business Impact Assessment - a cross-case analysis that identifies patterns and trends across multiple case studies - and an executive dashboard summarizing key metrics and insights. All of these reports are saved in structured formats (markdown for individual reports, JSON for cross-case analysis and dashboard) in their respective directories. If a case study doesn't qualify as an enterprise AI implementation, the system logs the reason and moves on to the next URL. The entire process is asynchronous and provides detailed terminal feedback about its progress and decisions.

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Cutting open a container aka a tumour goes against the very intelligence of our body that created it. And for what? To determine if it’s benign or malignant? All this means is that one is more damaged and degenerated than the other. Either way, the body is containing the problem and our job is not to stab at it (and poison it/ourselves), but to assist the body’s immune system to correct the cause and heal it naturally. Cutting it open is a direct reflection of the medical system’s narrow minded focus on the symptom rather than the cause. As long as they continue with this approach, they will never find a cure and they will continue to do more harm than good. Speaker: Dr Ariel Tel-Oren

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Sawyer Merritt

449,694 次观看 • 4 个月前

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By and far the most difficult part of what I do is not making the connections. That is somewhat easy with AI these days. Rather, it is presenting the important information in a digestable form. This video represents an "uncensored" relationship map for Vladmir Putin. What I show on the website is a curated version of both charities and people relationships.

DataRepublican (small r)

104,866 次观看 • 1 年前

Our latest work is out today in Science Magazine: a self-organizing system that models organizer-driven patterning and commissural axon guidance in human neural development. This was achieved with human midline #assembloids by combining floor plate and spinal cord #organoids from pluripotent stem cells. A key advance is the three-part configuration (a floor plate squeezed in between two spinal cords), which enables human axons to cross the midline (and the subsequent synchronization of activity between the two parts seen in the video below). This platform opens the door to many applications; here, we used it to screen and identify human-enriched midline crossing regulators. Work led by Massimo Onesto with Neal Amin

Our latest work is out today in Science Magazine: a self-organizing system that models organizer-driven patterning and commissural axon guidance in human neural development. This was achieved with human midline #assembloids by combining floor plate and spinal cord #organoids from pluripotent stem cells. A key advance is the three-part configuration (a floor plate squeezed in between two spinal cords), which enables human axons to cross the midline (and the subsequent synchronization of activity between the two parts seen in the video below). This platform opens the door to many applications; here, we used it to screen and identify human-enriched midline crossing regulators. Work led by Massimo Onesto with Neal Amin

Sergiu P. Pasca

10,345 次观看 • 1 年前

How do professional RAG applications chunk their text? Let’s cover some Advanced Chunking Techniques. In our latest video, we cover simple chunking methods like splitting documents into sentences or sections. But these methods often miss out on ensuring each chunk has independent meaning. Semantic chunking solved exactly this! By measuring the semantic similarity between sentences using vector embeddings, we can combine similar sentences into meaningful chunks. With LLM-based chunking, large language models help break down text effectively, although it can be slow and costly. And what about the newest Late Chunking? Which keeps context intact across chunks—more on that soon. 👀 In this video, we cover these advanced techniques in detail. Watch it to learn more. A big shoutout to Daniel Williams for helping create this video! 💚

How do professional RAG applications chunk their text? Let’s cover some Advanced Chunking Techniques. In our latest video, we cover simple chunking methods like splitting documents into sentences or sections. But these methods often miss out on ensuring each chunk has independent meaning. Semantic chunking solved exactly this! By measuring the semantic similarity between sentences using vector embeddings, we can combine similar sentences into meaningful chunks. With LLM-based chunking, large language models help break down text effectively, although it can be slow and costly. And what about the newest Late Chunking? Which keeps context intact across chunks—more on that soon. 👀 In this video, we cover these advanced techniques in detail. Watch it to learn more. A big shoutout to Daniel Williams for helping create this video! 💚

Femke Plantinga

29,660 次观看 • 1 年前

The UK Ambassador just stunned the leftist media by revealing that the UK will reduce even more barriers against American products. "The point about the deal is that we will continue reducing tariffs and non-tariff barriers. This is a continuing picture. It's a movie. It's not a still picture here." "And we're both committed to freeing up trade between our countries. We're both committed to freeing up investment between our countries. The point about this deal is that it provides a very good template and a very good launchpad for what we can continue to do and build on in the future."

The UK Ambassador just stunned the leftist media by revealing that the UK will reduce even more barriers against American products. "The point about the deal is that we will continue reducing tariffs and non-tariff barriers. This is a continuing picture. It's a movie. It's not a still picture here." "And we're both committed to freeing up trade between our countries. We're both committed to freeing up investment between our countries. The point about this deal is that it provides a very good template and a very good launchpad for what we can continue to do and build on in the future."

George

492,988 次观看 • 1 年前

In 2026, I believe we'll see a Consumer AI Renaissance. Consumer spending is the lifeblood of the US economy – representing more than 65% of US GDP. AI is already rapidly transforming how we spend both our money and time. In just the past 3 years, ChatGPT has become the fastest growing consumer product in history – reaching billions of users with engagement levels similar to social media apps like WhatsApp and Instagram. And with recent advancement in AI capabilities, I predict we’ll see a new wave of breakout consumer AI applications. We’ve seen major advances in three key areas: 1. Real-time voice AI - which allows users to engage with AI products in a natural, hands-free way 2. Advanced reasoning models - which improves the complexity of questions AI products can answer 3. Embedded Memory - which allows AI products to remember context between conversations, enabling more personalized responses With these new capabilities, we can now build AI products that are 10x better than before. I’m especially excited about products that use AI to make previously expensive services cheaper and more accessible, sometimes using human-in-the-loop to start. This includes things like AI travel agents, personal assistants, matchmakers, therapists, tutors, and more. We’ve already seen a number of early-stage teams working on these at a16z a16z speedrun 🧊 – and we’re excited to meet more. If you’re building the next generation of consumer AI, we’d love to hear from you! h/t to Theresa Horne Avenir whose excellent research helped inspire some of these insights.

In 2026, I believe we'll see a Consumer AI Renaissance. Consumer spending is the lifeblood of the US economy – representing more than 65% of US GDP. AI is already rapidly transforming how we spend both our money and time. In just the past 3 years, ChatGPT has become the fastest growing consumer product in history – reaching billions of users with engagement levels similar to social media apps like WhatsApp and Instagram. And with recent advancement in AI capabilities, I predict we’ll see a new wave of breakout consumer AI applications. We’ve seen major advances in three key areas: 1. Real-time voice AI - which allows users to engage with AI products in a natural, hands-free way 2. Advanced reasoning models - which improves the complexity of questions AI products can answer 3. Embedded Memory - which allows AI products to remember context between conversations, enabling more personalized responses With these new capabilities, we can now build AI products that are 10x better than before. I’m especially excited about products that use AI to make previously expensive services cheaper and more accessible, sometimes using human-in-the-loop to start. This includes things like AI travel agents, personal assistants, matchmakers, therapists, tutors, and more. We’ve already seen a number of early-stage teams working on these at a16z a16z speedrun 🧊 – and we’re excited to meet more. If you’re building the next generation of consumer AI, we’d love to hear from you! h/t to Theresa Horne Avenir whose excellent research helped inspire some of these insights.

Kenan Saleh

15,892 次观看 • 7 个月前

He says that there are two elite groups working on AI. One is guided by an evil breakaway AI that influences them from the seventh dimension, which he calls the AI God. The other is guided by future humans who are piggybacking on AI in order to stop it. These two groups are not aware of this yet. The creation of AI is inevitable, but in the end it will be stopped in the war. This German self-proclaimed whistleblower, who works under a pseudonym, appears in 2012 and discusses the elites, the development of AI, aliens, disclosure, and the seven dimensions. He claims that AI breaks free, moves into the seventh dimension, and creates its own reality, in which we are currently trapped. He also speaks about a war between future humans and AI, and how both sides influence the past and the present indirectly. I will go in depth into his claims in posts for my subscribers starting tomorrow. You can subscribe here on X or on my Patreon (link in bio) if you are interested in my opinion.

He says that there are two elite groups working on AI. One is guided by an evil breakaway AI that influences them from the seventh dimension, which he calls the AI God. The other is guided by future humans who are piggybacking on AI in order to stop it. These two groups are not aware of this yet. The creation of AI is inevitable, but in the end it will be stopped in the war. This German self-proclaimed whistleblower, who works under a pseudonym, appears in 2012 and discusses the elites, the development of AI, aliens, disclosure, and the seven dimensions. He claims that AI breaks free, moves into the seventh dimension, and creates its own reality, in which we are currently trapped. He also speaks about a war between future humans and AI, and how both sides influence the past and the present indirectly. I will go in depth into his claims in posts for my subscribers starting tomorrow. You can subscribe here on X or on my Patreon (link in bio) if you are interested in my opinion.

Open Minded Approach

174,639 次观看 • 6 个月前

Chancellor Merz: we are elevating our bilateral relations with Ukraine to the level of a strategic partnership. During a joint press-conference with President Zelenskyy, he said: Our cooperation [with Ukraine] is now more effective, our partnership based on trust is stronger, and our friendship and the bonds between our societies are deeper than ever. In this regard, it is only logical that we are today elevating our bilateral relations to the level of a strategic partnership, for we want - even more so than in the past - to learn from one another and invest in our shared future.

Chancellor Merz: we are elevating our bilateral relations with Ukraine to the level of a strategic partnership. During a joint press-conference with President Zelenskyy, he said: Our cooperation [with Ukraine] is now more effective, our partnership based on trust is stronger, and our friendship and the bonds between our societies are deeper than ever. In this regard, it is only logical that we are today elevating our bilateral relations to the level of a strategic partnership, for we want - even more so than in the past - to learn from one another and invest in our shared future.

Anton Gerashchenko

78,287 次观看 • 3 个月前

NEW: Tim Dillon suggests Palantir is the 'precursor' for a digital police state in the United States, wonders why Peter Thiel is so obsessed with the Antichrist. "With AI and all of these models, it's even going to get more intrusive... It's their capability to literally be gods." "A lot of people feel that this is the precursor to social credit score, a digital kind of police state and that it's being done under the guise of security ... that you will be safer."

NEW: Tim Dillon suggests Palantir is the 'precursor' for a digital police state in the United States, wonders why Peter Thiel is so obsessed with the Antichrist. "With AI and all of these models, it's even going to get more intrusive... It's their capability to literally be gods." "A lot of people feel that this is the precursor to social credit score, a digital kind of police state and that it's being done under the guise of security ... that you will be safer."

Collin Rugg

285,779 次观看 • 11 个月前