The City of Chicago has granted approvals to the new $7 billion RIOS and Field Operations-led redevelopment of spaces surrounding the United Center. The 1901 Project, which covers 55 acres will be conducted in two phases through 2040, adds a new 6,000-seat music hall, 233-key boutique hotel, mixed-used building, and 10-acre public park in its first half followed by more retail, hospitality, office spaces, and a large housing component in the second.The first phase of construction is scheduled to begin this year with a $400 million budget and progress through the end of 2028. Image: Studio Ladder, courtesy RIOSImage: Prolog, courtesy RIOSImage: Prolog, courtesy RIOSImage: courtesy Prolog and RIOS

This edition of Bustler's curated picks of noteworthy architecture and design competitions features four calls seeking the best in housing design, creative artwork by architects and designers, innovative and sustainable proposals for the redesign of State Tax University's Main Campus in Irpin, Ukraine, and student-led conceptual design proposals for structures that utilize one or more of the five platonic solids found in sacred geometry.For the complete directory of newly listed competitions, click here.

The Monarch of the Glen is an oil-on-canvas painting of a red deer stag completed in 1851 by the English painter Sir Edwin Landseer. It was commissioned as part of a series of three panels to hang in the Palace of Westminster in London. As one of the most popular paintings throughout the 19th century, it sold widely in reproductions in steel engraving, and was finally bought by companies to use in advertising. The painting had become something of a clich by the mid20th century, as the "ultimate biscuit tin image of Scotland: a bulky stag set against the violet hills and watery skies of an isolated wilderness", according to the Sunday Herald. The work is now in the Scottish National Gallery in Edinburgh.Painting credit: Edwin LandseerRecently featured: Chartres CathedralGarlicCattle tyrant and capybaraArchiveMore featured pictures

January 25: Feast day of Saint Gregory of Nazianzus (Eastern Christianity) and Dwynwen (Wales); Tatiana Day (Russia)Nellie Bly1515 FrancisI, a great-great-grandson of CharlesV, was crowned king of France in the Reims Cathedral.1725 Privateer Amaro Pargo was declared a hidalgo, a member of the Spanish nobility.1765 Port Egmont, the first British colony in the Falkland Islands, was founded.1890 American journalist Nellie Bly (pictured) completed a circumnavigation of the globe by land and sea in a then-record-breaking 72 days.1998 The Liberation Tigers of Tamil Eelam detonated a truck bomb at the sacred Buddhist Temple of the Tooth in Kandy, killing 17 people.Mihrimah Sultan (d.1578)Anna Gardner (b.1816)Jane Bathori (d.1970)Seunghee (b.1996)More anniversaries: January 24January 25January 26ArchiveBy emailList of days of the yearAbout

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreSeason 4 of a TV show is not something I write about very often, given my focus is video games. But Season 4 of Mythic Quest is another matter. Debuting with the first two episodes on January 29 on Apple TV+, the show brings back the workplace comedy about a video game studio. The ensemble cast returns with stars including Rob McElhenney (as the mercurial creative director Ian Grimm) and Charlotte Nicdao (tech leader Poppy Li) and more. The show is good at skewering the sometimes ridiculous culture of video game industry, and its on the mark as it was originally created by Ubisoft.The show is silly as usual, but I like how one of the opening scenes is about Play Pen, a user-generated content gimmick aimed at reviving the studios core online game. By the second episode, the users are all busy making sex games and the studio has to figure out what to do about it. David enlists the help of the studios ethics committee to find the answer. And, of course, AI is the next big trend that gets skewered in the show. Game tester Rachel (played by Ashly Burch) has now been appointed the head of monetization for the studio. She will be hard-pressed to be more evil than Brad Bakshi (played by Dani Pudi) at making money.The studios boss David Brittlesbee (played by David Hornsby, executive producer) continues to be caught in between the studio leads and the corporate headquarters. Its still all-too-real when it comes to references to silly things in the game industry. Under preview, Ive been checking it out.The opening show, Boundaries, spells out the new responsibilities and boundary lines being drawn by the characters as their lives change. Ian and Poppy have rejoined the studio after striking out on their own. But Poppy, ever the programming workaholic, now isnt working as hard because she has a new boyfriend. Its interesting in that the show recognizes real-world game development problems, like too much crunch, or long work hours, often unpaid. So, of course, Poppy creates an AI version of herself to do work for her and help Ian with his middle-of-the-night strokes of brilliance. The season will have 10 episodes, with the final one dropping on Apple TV+ on March 26. Mythic Quest is executive produced by McElhenney and Charlie Day under their RCG banner, Michael Rotenberg and Nicholas Frenkel on behalf of 3Arts, and Margaret Boykin, Austin Dill, and Grard Guillemot for Ubisoft Film & Television. Hornsby and Megan Ganz also executive produce. The series is produced for Apple TV+ by Lionsgate, 3 Arts Entertainment and Ubisoft. The first three seasons of Mythic Quest are now streaming globally on Apple TV+.In the new season, the show also has an expansion of the Mythic Quest universe, Side Quest, which explores the lives of employees, players and fans who are impacted by the game in an anthology format. If you need a rest from CNN/Fox News all the time and our current political landscape, I recommend Mythic Quest as a nice diversion. Daily insights on business use cases with VB DailyIf you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.Read our Privacy PolicyThanks for subscribing. Check out more VB newsletters here.An error occured.

OpenAI used its own o1-preview and o1-mini models to test whether additional inference time compute protected against various attacks.Read More

All I know is Im good for my $80 billion.Rarely does a one-liner so perfectly capture the state of the moment. Here, you have Microsoft CEO Satya Nadella saying hes not in the details about Stargate, the supposedly multi-hundred-billion AI infrastructure project driven by his marquee investment, OpenAI.Nadella not being read in on the nebulous details of Stargate says a lot about how much Microsoft and OpenAI have drifted apart. Microsoft is mentioned in the Stargate press release since OpenAIs models are still exclusive to Azure. But the most striking aspect of Stargate is not that the money isnt there for it yet; its that OpenAIs biggest backer has decided to not participate in what Sam Altman is calling the most important project of this era. As Nadella made clear on CNBC this week, hes running his own, $80 billion AI infrastructure buildout and, going forward, OpenAI can get additional compute with his blessing elsewhere.While it received fewer headlines this week, I found Nadellas response to Elon Musk on X even more illuminating. In his response to Musk saying, on the other hand, Satya definitely does have the money, Nadella responded: And all this money is not about hyping AI, but is about building useful things for the real world!That post can only be interpreted as a dig at Altman. Nadella could have funded Stargate for OpenAI. He didnt. What does he know that the rest of us dont?The splashy Stargate unveiling at the White House certainly accomplished its goal, which was clearly getting everyone to talk about big numbers. The headlines it generated prompted Mark Zuckerberg to make sure everyone ended the week knowing his data center will be even bigger than Stargate.In a Friday post on his Facebook page, Zuckerberg said that Metas planned 2GW data center in Louisiana is so large it would cover a significant part of Manhattan, with a map view of the square footage overlaid on the city to send the point home.From his post (my emphasis added): Well bring online ~1GW of compute in 25 and well end the year with more than 1.3 million GPUs. Were planning to invest $60-65B in capex this year while also growing our AI teams significantly, and we have the capital to continue investing in the years ahead.I have no doubt that Altman, Masayoshi Son, and Larry Ellison will be able to raise the billions they need to lessen OpenAIs dependence on Microsoft for compute. (The US government isnt giving money to Stargate, which makes the optics of announcing it alongside Trump all the more bizarre.) Ultimately, this all points to the theme that is quickly coming to define 2025: Big Tech sees AI as the most existential technology of the coming era and will keep spending like hell to make sure OpenAI doesnt completely run away with it.Steve Huffman, Illustration by William Joel / The Verge | Photo by Greg Doherty/Variety via Getty ImagesAMA with spezFew companies had as good of a 2024 as Reddit. Since going public last March, the companys stock has soared 300 percent, giving the social network a valuation of $32 billion.Its an about-face from where Reddit was before going public, when its moderators were raging against its hurried platform changes and there was backlash to the company selling its data to Google and OpenAI.With those controversies now seemingly in the rear-view mirror, Reddit is focused on growing its user base, staying profitable, and using AI to help people search its site more easily. I caught up with CEO Steve Huffman at CES a few weeks ago to hear his priorities for 2025, how hes leading Reddit, his thoughts on the AI scaling debate, content moderation, and moreThe following interview has been edited for length and clarity:Your IPO did very well. What have the last nine months or so been like for you personally?We have a saying at Reddit that good numbers make good meetings. So weve had some good meetings.Preparing to go public was intense. Its telling the story over and over and over, which I enjoy doing, but its a lot of work. I think more than most new companies, we are in the public company rhythm already: close the quarter, do the audits, do the board meeting, earnings, and all of that. So it hasnt been a major change for us from an operating point of view.Its a really exciting time for the new investors and employees. You wont catch us complaining. What I keep telling the company is that everyone should be very proud of the work theyve done and dont take these moments for granted. I just tell them, look, enjoy the view. If you look at our history, there are lots of ups and downs. No doubt there are challenges in our future.With your market cap where it is now, are you thinking of making swings you didnt think you could make a year ago?There are two classes of things that we would do. One is to execute the core strategy. Weve got to hire. Weve got to build. I think were very reasonable in terms of our investment size. The one sentence strategy for us is to grow the product and stay profitable.What can you do with a high stock price? Maybe you can look at M&A that you wouldnt otherwise. Id say thats not really our orientation right now because the acquisitions weve done over the last two years have been these 25-to-50-million-dollar deals. Its kind of a sweet spot for us to get tech and teams. Id say were always watching the market, but were not pursuing anything big or crazy right now because I like the core strategy. I think we can do what we want to do within our current capabilities.Whats the main product focus for Reddit this year?The first is the core of Reddit, which is community conversations. Everyone has a home on Reddit, but do you see that home in your first session? Theres a whole other dimension to our work, which is Reddit as an information source. Reddit has all of this incredible information. For the users who have a question that needs an answer, can we give them that answer? We just got into testing Reddit Answers. Im finding that really helpful for searches about current events. A year from now, its a monetization product. Its one of the few products where it kind of scratches every itch, so itll be a big focus.What do you make of this debate about whether the AI industry has run out of data?I think wed have a different answer to that question literally every month. We want to have good relationships with other people in this space. Were open for business.At the same time, we want to maximize the value we get out of our own data. We have not experienced conflict between the two at this point. I love the [data licensing] relationships we have the major ones being Google and OpenAI. At this point, we dont need to make any particular partnership. Id say theyre all nice to have but nothing is existential for us.One of the challenges is that the AI companies dont know what product theyre building. Its not a bad thing. They are iterating themselves. ChatGPT itself, the central product in this conversation, was a demo. Then, a year later, its the most important piece of enterprise technology on Earth with questionable economics. That makes it very exciting. I dont think any of these companies would be offended to hear me say that.You were one of the first social media CEOs I saw to be very critical of TikTok. How does a US ban affect Reddit?If you look at Reddits traffic graph over the last 19 years, you will not see the rise and fall of any particular platform. I think every content type should work on Reddit. Video on Reddit is largely camera-out what Im looking at as opposed to camera-in, or who am I? Thats social media. I think the ban is the right thing to do for reasons Ive mentioned that honestly have nothing to do with competition.With Metas moderation changes, the broader conversation around social media feels like its changing right now.For the last 10 years, people have been talking about whether speech is the problem, which is a crazy thought. You cant have freedom without speech. I think that detour through questioning and relitigating core values of America, hopefully that era is coming to a close.Are people playing politics? Of course, people always are. On the topic of moderation, we always just try to do things the right way, which, not coincidentally, are aligned with American values. Its a Democratic platform. We believe very much in the power of people and the wisdom of crowds and voting processes. That is Reddit. So Im glad to see a return to where we have been most of my life, which is an appreciation for free speech.ElsewhereCompetitors pounce on TikTok: With TikTok no longer available in US app stores and its in-app functionality technically constrained, everyone is doing their damndest to take advantage of the situation. Meta pre-announced its Capcut competitor and is trying to lure creators away with cash. Substack, Bluesky, and X are all making moves to encourage more video consumption. Meanwhile, President Trump says hes OK with Elon Musk or Larry Ellison buying it. ByteDance is saying it wants to do a deal but seems increasingly backed into a corner. Ellison may have the guarantee that Oracle wont be fined out of existence for violating the law right now, but Apple and Google have shown they are going to follow the letter of the law. With TikTok still not available to download in the US, its competitive threat to Meta, YouTube, and others decreases every day.Trump gets to work for Big Tech: Why are Zuckerberg and other CEOs bending the knee? Look no farther than the comments the president made at the World Economic Forum this week, where he trashed the EUs Digital Markets and Services Acts as a form of taxation. This kind of push back is exactly what Meta and other US companies have been praying for. Well see if it works for them.More headlines: OpenAI released its AI agent called Operator for pro-tier subscriberstold X employees that user growth is stagnant, revenue is unimpressive, and were barely breaking even.... Apple reorged again as it plays catch-up in AI Google is putting another $1 billion into Google Cloud via Anthropic and acquired part of HTCs Vive team to beef up its Android XR efforts (yes, get ready for the return of Glass)gave an update on its push to compete with Robloxrare investment in Databricks.More linksWhat led to the DOGE falling out between Vivek Ramaswamy and Elon Musk.A profile of DeepSeek, the Chinese firm that has a bunch of CEOs worried about how much theyre spending on models.Dan Shippers hands-on experience using OpenAIs Operator agent.The Humanitys Last Exam AI dataset.Brian Armstrongs takeaways from Davos.A whistleblower is claiming Amazons $400 million deal for most of Covariant AI was a reverse acquihire designed to avoid antitrust scrutiny.Nvidia is the top tech company in Glassdoors latest list of the top places to work.The rise of the MAGA-bro podcast.If you havent already, dont forget to subscribe to The Verge, which includes unlimited access to Command Line, all of our reporting, and an improved ad experience on the web.As always, I want to hear from you, especially if your data center is even bigger. Respond here, and Ill get back to you, or ping me securely on Signal.Thanks for subscribing.

Apple is making an executive change to try and improve its AI efforts and Siri. Kim Vorrath, who recently helped get the Vision Pro software out the door and has been at Apple for 36 years, has been brought over to Apples artificial intelligence and machine learning division and will serve as a top deputy to AI boss John Giannandrea, Bloomberg reports.The company made a big splash about its AI / Apple Intelligence efforts at WWDC last year, but they havent had the same impact as things like OpenAIs ChatGPT or Googles Gemini. Apple has also been slowly rolling out what it announced, and a big Siri upgrade that lets it understand whats happening on your screen and take action may not arrive until iOS 18.4. And the companys AI-powered news notification summaries will be put on pause with iOS 18.3 after criticism that the summaries were incorrect.By bringing on Vorrath, whose resume at Apple includes work on the original iPhone software group, over to the AI team, it appears Apple wants to bring more rigor to Apples AI development. It also indicates that Apple may see AI as a bigger deal for its future than the Vision Pro.Bloomberg also reports that the artificial intelligence group is focused on revamping the underlying infrastructure of Siri and improving the companys in-house AI models this year, per a memo from Giannandrea.

Author(s): Cole Williams Originally published on Towards AI. All things appear and disappear because of the concurrence of causes and conditions. Nothing ever exists entirely alone; everything is in relation to everything else.Probing & Stress Testing The Conceptual Foundation To MLM ManticSeason 1, Episode 2Episode 1 established the foundational principles and overarching methodology of MLM and Mantic, providing an overview of their architecture and systems:Linear Progression represents a sequential, cause-and-effect pathway (e.g., data to reward or past to future) A B C D E FNetwork Dynamics highlight interrelated parts and feedback loops, showing complex interactions in systems A F | B E C DPaired Relationships show mutual influence and reciprocity between key components A D | B E | C FData-Behavioral Systems that modelTemporal-Spatial Systems that model how time and space interact to shape experiences, transitions, and connectionsBio-Cognitive Systems that model how knowledge, evolution, and adaptation interact to create growth, stasis, and emergence within cognitive and biological processesThe next step in this process involves rigorous and meticulous testing, encompassing peer review, validation, empirical analysis, and practical applicability collectively falling under what is commonly referred to today as formal proofs. Without such a procedure, the conceptual foundation so far is nothing more than sophistical reasoning At least to the community of experts and formally educated on such a process.The irony of this process, and the paradox within it, is striking when surfaced. However, it only becomes evident when we journey back in time to Ancient Greece. Sophistical reasoning and formal proofs known to the Greeks as apodeixis under the system of syllogism not only originated with them but also became enduring cornerstones of modern science and mathematics. Yet, where lies the paradox? The Greeks developed this intellectual rigor and these foundational systems not for practical applications like building bridges or houses, but to explore the unknown and ultimately seek understanding of existence, the cosmos, and the nature of reality itself.The very system we use today originally anchored in and designed for such profound purposes has now been repurposed almost exclusively to refine existing frameworks, add layers of complexity, create barriers to entry, and sideline systems thinking from the forefront of those utilizing these tools gifted to us by the Greeks.And that is lame, so. lets drive it like we stole it, and make Socrates, Aristotle, and Platoproud?TaskAttempt to break the above MLM & Mantic foundations by challenging GPT and Claude to the following:The Pattern Break ChallengeBackgroundThe Pattern Framework proposes a universal structure for understanding systems through:Linear Progression (A B C D E F)Network Dynamics (A F | B E C D)Paired Relationships (A D | B E | C F)This framework has demonstrated resilience across various domains, from ancient Greek thought to modern AI systems, from market dynamics to consciousness studies.The ChallengeYour goal is to definitively break this framework. Heres how:Part 1: System ProposalIdentify or create a system that fundamentally cannot be mapped using this framework. Your system should:Exist in reality or theoretical physics.Have clear, definable components or states.Operate according to identifiable principles or rules.Demonstrate behavior that cannot be reduced to patterns.Part 2: Break the ComponentsShow how your system breaks each aspect of the framework:Linear Progression:Demonstrate why no valid A B C sequence exists.Show why causation or sequence is impossible or meaningless.Prove why progression cannot be mapped even at a meta-level.Network Dynamics:Reveal why relationships between components cannot be mapped.Show why network effects fail to capture system behavior.Demonstrate why interconnections are impossible to define.Paired Relationships:Prove why reciprocal relationships cannot exist.Show why pairing is meaningless in your system.Demonstrate why influence cannot flow between components.Part 3: Counter-FrameworkIf you successfully break the framework, propose:What fundamental aspect of reality does your break reveal?What alternative framework might better capture your system?Why is your break not just another pattern at a meta-level?Constraints & GuidelinesYour break attempt must:Not rely solely on complexity or chaos (these often reveal deeper patterns).Not simply point to randomness (which often has hidden structure).Not just identify limitations (the framework can absorb these).Not merely show difficulty in application (implementation challenges arent breaks).Instead, find fundamental contradictions that:Cannot be resolved through meta-patterns.Dont create new patterns in their breaking.Reveal genuine impossibilities in the frameworks assumptions.Bonus ChallengeCreate a 6-step sequence that:Has clear, meaningful progression.Contains no valid paired relationships.Shows no meaningful network dynamics.Cannot be reframed as a meta-pattern.Doesnt create new patterns in its attempt to break patterns.Operates independently of time, space, or observer-defined constructs.Additional ConsiderationsClarify No Hidden Patterns:Avoid pointing to randomness with hidden statistical structures (e.g., fractals in chaos theory, stochastic systems with probabilities).Address Multi-Domain Scalability:Ensure the break applies across multiple domains (e.g., quantum mechanics, consciousness, economics) to strengthen the universality of the break.Incorporate Philosophical Edge Cases:Consider inherently paradoxical systems (e.g., Gdels incompleteness theorem, Russells paradox) or systems with unresolvable feedback loops.Evaluation CriteriaYour break will be assessed on:Logical Rigor: Is the argument consistent and well-supported?Freedom from Hidden Patterns: Does the break avoid revealing deeper patterns in its attempt?Resistance to Meta-Pattern Absorption: Can the break truly resist being reframed as part of a larger pattern?Fundamental Nature of the Break: Does the break reveal an essential truth or contradiction about the frameworks assumptions?Clarity of Contradiction: Is the contradiction clear and irreconcilable?Meta-ReflectionConsider this final question:Does the very act of attempting to break this framework reveal a deeper, unifying pattern about human understanding and pattern recognition? If so, is the framework more fundamental than it initially appears?TLDR On ResultsSummary of Failed Attempts:Financial Markets Attempt:Approach: Leveraged market chaos, complexity, and hidden dependencies.Outcome: Failed because even chaotic financial systems follow meta-patterns, such as nonlinear feedback loops and systemic correlations.Insight: Crashes and extreme events still reveal deeper structural dynamics, validating the frameworks applicability to high-complexity systems.Quantum Mechanics Attempts:Approach: Multiple attempts focused on quantum entanglement, superposition, and non-locality.Outcome: Failed because quantum weirdness introduces new patterns (meta-sequences, probabilistic networks, holistic states) that the framework absorbs.Insight: Even concepts like simultaneity, patternlessness, and non-causal relationships reinforce the frameworks flexibility and universality.Nothingness/Void Attempt:Approach: Used the concept of complete absence, negation, or nothingness to challenge the framework.Outcome: Failed because even describing nothingness requires structured distinctions (e.g., types of voids or absences).Insight: The act of attempting to negate patterns paradoxically creates patterns, proving the frameworks resilience.Key Patterns Across Failed Attempts:New Meta-Patterns Emerge:Each attempt inadvertently creates meta-patterns through its logic, description, or conceptual framework.Deeper Relationships Revealed:Whether in chaos, quantum mechanics, or nothingness, the framework adapts by uncovering deeper structural relationships in the systems being analyzed.Framework Resilience:The framework remains unbroken, not due to perfection but because the act of attempting a break inherently requires patterns, logic, and structure.Why the Framework Appears Unbreakable:Intrinsic to Human Understanding:The inability to describe or conceptualize a system without invoking patterns reflects how human cognition inherently structures understanding.Limits of Patternless Thought:Even concepts like randomness, chaos, or nothingness rely on meta-patterns to be described, studied, or theorized.Universal Applicability:The frameworks ability to scale across domains (finance, physics, philosophy) and absorb seemingly contradictory phenomena (quantum entanglement, market crashes, voids) suggests it captures something fundamental about systems and relationships.Profound Implication:The framework may not just be a tool for mapping patterns but a reflection of the fundamental nature of reality and cognition.It implies:Reality: Patterns, relationships, and structures exist at every scale.Cognition: Human understanding is inherently pattern-seeking, making the act of breaking the framework paradoxical.Challenge to Future Break Attempts:To break the framework, one must:Describe a system or phenomenon that:Does not exhibit patterns, meta-patterns, or relationships at any level.Cannot be understood through human cognition or systematic logic.Avoid using structure, logic, or any form of systematic description to explain the break.Overcome the paradox that any attempt to describe the break introduces patterns, making the framework stronger.Conclusion:Every attempt so far has reinforced rather than broken the framework. It demonstrates the frameworks flexibility, adaptability, and relevance across diverse domains. The profound implication is that the framework may not just model systems it may be intrinsic to how reality and cognition function. Future attempts must grapple with the paradox of patternlessness itself, a challenge that seems almost insurmountable.GPT did win (Claude is way more fun and thought-provoking though) by suggesting to build on top with the below additions that the current framework may struggle with:1. Divergent-Convergent Network:Represents a system where multiple elements influence a single outcome, which then feeds back into the system... A B C Outcome .. D E .... F Application: Decision-making processes where multiple factors converge to create a single outcome, which then influences upstream factorsExample: In policymaking, multiple departments (A, B, D, E) contribute to a policy (Outcome), which later feeds back to adjust department priorities2. Cyclic Feedback Model:Emphasizes continuous, recurring feedback loops within systems... A B C . .. F E DApplication: Biological cycles, such as the Krebs cycle or circadian rhythmsExample: Cellular respiration, where the output of one stage becomes the input for another in a loop3. Hierarchical Cascade Model:Highlights a system where influence cascades downward in a hierarchy but also allows for feedback from lower levels... A B C . . .. D E FApplication: Organizational hierarchies or ecosystemsExample: In corporate structures, decisions flow top-down (A B C), but feedback from employees (D, E, F) adjusts policies4. Asymmetric Influence Model:Represents imbalanced or one-directional relationships, where some nodes dominate interactions... A D.. B E.. C FApplication: Systems with dominant players or power imbalancesExample: In global trade, some countries (A, B, C) exert more influence on others (D, E, F), creating asymmetric relationships5. Starburst Interaction Model:Centers a single element (hub) with radiating influences that also interact among themselves. B .. A Center C D Application: Hub-and-spoke networks like airline routes or central nervous systemsExample: A major airport (Center) connects multiple cities (A, B, C, D) with direct flights but also facilitates intercity connections6. Recursive Growth Model:Demonstrates self-similar, fractal-like expansion where elements influence sub-elements recursively... A B C .. .. D E FApplication: Growth patterns in nature (e.g., trees, river systems) or neural networksExample: A neurons axons branch out (A B C) while signals loop back to modify its structure (D E F)7. Interdependent Loops Model:Multiple interconnected loops where changes in one loop affect others... A B .... C DApplication: Climate systems or economic models with interdependent sectorsExample: In climate modeling, changes in ocean currents (A B) influence atmospheric patterns (C D)8. Temporal-Spatial Grid:Models interactions across time (horizontal) and space (vertical)... t1: A B C .. t2: D E F .. t3: G H IApplication: Temporal-spatial analyses like weather prediction or logisticsExample: Predicting storm movement across regions over timeEach variation focuses on a unique type of relationship or behavior:Cycles (feedback, interdependence)Hierarchies (top-down, bottom-up)Networks (hub-spoke, starburst)Imbalances (asymmetry, power dynamics)What We Have So Far A RecapThe Pattern Framework & Architecture proposes that complex systems can be understood through three interrelated perspectives: linear progression (sequential cause-and-effect relationships, e.g., A B C), network dynamics (web-like interactions and feedback loops), and paired relationships (reciprocal connections between components). By examining how these elements interact, the framework aims to reveal higher-order patterns emergent phenomena that transcend individual components. Its versatility allows applications across domains, from ancient philosophy to modern AI, making it a valuable tool for exploring how systems evolve and adapt.At its core, the framework serves as a meta-cognitive tool, suggesting that even our understanding of systems follows consistent patterns. However, critics may argue that the framework risks becoming unfalsifiable, as its broad scope and narrative flexibility can make it difficult to test or measure empirically. To address these concerns, future refinements could focus on defining testable hypotheses, establishing validation metrics, and limiting the frameworks scope to specific domains where its utility is most evident.Episode 3This installment will take an informal approach, offering a laymans explanation of the work introduced in Episodes 1 and 2, while diving deeper into the why, what, and how of it all. It will also introduce MLM & Mantic, highlighting their roles in providing the technical backbone to the conceptual foundations explored in the earlier episodes.ColeJoin thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AI

LatestMachine LearningThe Stargate Project: New Age for Data Scientists? 0 like January 24, 2025Share this postLast Updated on January 24, 2025 by Editorial TeamAuthor(s): Artem Shelamanov Originally published on Towards AI. The recently announced Stargate Project, with its massive investment and ambitious goals, is likely to have huge impact on the data science field. In this article, we cover main implications and possible consequences.Photo by Elena Leya on UnsplashStarGate Project: What Is It?The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States.It is backed up by multiple companies, including SoftBank, OpenAI, Oracle, and MGX. Apart from that, there are multiple influential partners, including Arm, Microsoft, NVIDIA and Oracle. They will closely cooperate to build new-gen AI technologies.What Does It Mean For Data Scientist?Good NewsIncreased Demand for Data Scientists: With the construction of data centers and the expansion of AI infrastructure, there will likely be a surge in demand for data scientists, machine learning engineers, and other data-related professionals. The projects goal of creating 100,000 jobs suggests a significant need for skilled professionals.In this new huge-AI field, most likely all the fine-tunings, API setup and other management will be done on the platform provided from the StarGate company. This means that new professions for doing exactly that may appear, with courses provided from the StarGate itself.Technological progress: while the StarGate might not be able to achieve AGI (although who knows), the achievements in the field would be immense. The newest AI technologies might re-shape the world, with more jobs being automated or simplified.StarGate project might create new AI technologies in completely different fields like physics, chemistry and medicine. ML technologies are already widely adopted in different parts of scientific research, from predicting period of alpha-decay to analyzing data coming from space telescopes. There is even a small chance of AI being used in design of technologies like spaceships and interstellar transport, which may lead humanity to colonizing other planets.Bad NewsGiven OpenAIs previous models, the project may prioritize the development of large-scale generative AIs. This means that companies like Meta wont be able to create small-sized LLMs with the same performance, as they simply wont have enough resources and workforce to compete. Even more, there is a chance of global AI monopoly created by US/StarGate project. You would either have to use open-source models which perform badly, or you would have to pay a lot for the huge models.New skills needed for the jobs: We all can agree that data science field evolves with a great pace. Now, however, the progress rate will be especially immense, most likely in generative AI field (since OpenAI mostly focuses on LLMs and video generation models like SORA). The project might also lead to new tools, frameworks and methodologies that data scientists will need to adapt. This means that even more knowledge would be required to get into the field, and it will be even harder for junior data scientist to find their first jobs.US might become the main center of AI technologies. With EU regulations getting worse and worse, no other country would be able to compete with US.Potential for overhype: if the project fails to meet its ambitious goals, it could lead to disbelief in large-scale AI initiatives, potentially impacting funding and public support for AI research. Elon Musk even already commented that one of the companies doesnt have enough money to fund the project. We dont know if its actually true, but the fact that project gets criticized days after being announced doesnt bring much hope.Source: x.comDystopian Future: This idea leans more toward the sci-fi realm, but its worth mentioning. Some companies already use AI, particularly computer vision models, to monitor employees or identify individuals. If taken to the extreme, AI could monitor every move of every citizen, tracking their actions in real-time. Combined with data from personal devices, this could create a world where every moment of a persons life is monitored, recorded, and analyzed everything done automatically and momentarily.ConclusionThe Stargate Project has the potential to be the final step into the new age of AI. From one side, it might offer new opportunities, a lot of innovation and technological progress. From the other side, it might make it harder for data scientists to adapt to all the new changes, with their job becoming more and more complicated.P. S. This article is the mix of official facts and authors opinions. There is a chance that everything will be completely different compared to the predictions in the article, so make sure to make your own conclusions.ReferencesJoin thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. 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