Adam Consuli

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Adam Consuli

Adam Consuli

@suprememperor

@BuildOnJulia Founder & CEO. Engineer. Investor.

World Katılım Ekim 2021
15 Takip Edilen1.4K Takipçiler
Adam Consuli retweetledi
Ricardo
Ricardo@Ric_RTP·
The real reason the US is invading Venezuela goes back to a deal Henry Kissinger made with Saudi Arabia in 1974. And I'm going to explain why this is actually about the SURVIVAL of the US dollar itself. Not drugs. Not terrorism. Not "democracy." This is about the petrodollar system that has kept America the dominant economic power for 50 years. And Venezuela just threatened to end it. Here's what really just happened: Venezuela has 303 billion barrels of proven oil reserves. The largest on Earth. More than Saudi Arabia. 20% of the entire world's oil. But here's the part that matters: Venezuela was actively selling that oil in Chinese yuan. Not dollars. In 2018, Venezuela announced it would "free itself from the dollar." They started accepting yuan, euros, rubles, anything BUT dollars for oil. They were petitioning to join BRICS. They were building direct payment channels with China that bypass SWIFT entirely. And they were sitting on enough oil to fund de-dollarization for decades. Why does this matter? Because the entire American financial system is built on one thing: The petrodollar. In 1974, Henry Kissinger made a deal with Saudi Arabia: All oil sold globally must be priced in US dollars. In exchange, America provides military protection. This single agreement created artificial demand for dollars worldwide. Every country on Earth needs dollars to buy oil. This lets America print unlimited money while other countries work for it. It funds the military. The welfare state. The deficit spending. The petrodollar is more important to US hegemony than aircraft carriers. And there's a pattern of what happens to leaders who challenge it: 2000: Saddam Hussein announces Iraq will sell oil in euros instead of dollars. 2003: Invaded. Regime change. Iraq's oil immediately switched back to dollars. Saddam lynched. The WMDs were never found because they never existed. 2009: Gaddafi proposes a gold-backed African currency called the "gold dinar" for oil trade. Hillary Clinton's own leaked emails confirm this was the PRIMARY reason for intervention. Email quote: "This gold was intended to establish a pan-African currency based on the Libyan golden Dinar." 2011: NATO bombs Libya. Gaddafi sodomized and murdered. Libya now has open slave markets. "We came, we saw, he died!" Clinton laughed on camera. The gold dinar died with him. And now Maduro. With FIVE TIMES more oil than Saddam and Gaddafi combined. Actively selling in yuan. Building payment systems outside dollar control. Petitioning to join BRICS. Partnered with China, Russia, and Iran. The three countries leading global de-dollarization. This isn't coincidence. Challenge the petrodollar. Get regime changed. Every. Single. Time. Stephen Miller (US homeland security advisor) literally said it out loud two weeks ago: "American sweat, ingenuity and toil created the oil industry in Venezuela. Its tyrannical expropriation was the largest recorded theft of American wealth and property." He's not hiding it. They're claiming Venezuelan oil BELONGS to America because US companies developed it 100 years ago. By this logic, every nationalized resource in history was "theft." But here's the DEEPER problem: The petrodollar is already dying. Russia sells oil in rubles and yuan since Ukraine. Saudi Arabia is openly discussing yuan settlements. Iran has been trading in non-dollar currencies for years. China built CIPS, their own alternative to SWIFT with 4,800 banks in 185 countries. BRICS is actively building payment systems that bypass the dollar entirely. The mBridge project lets central banks settle trades instantly in local currencies. Venezuela joining BRICS with 303 billion barrels of oil would accelerate this exponentially. That's what this invasion is really about. Not stopping drugs. Venezuela accounts for less than 1% of US cocaine. Not terrorism. There's zero evidence Maduro runs a "terror organization." Not democracy. The US supports Saudi Arabia, which has zero elections. This is about maintaining a 50-year-old agreement that lets America print money while the world works for it. And the consequences are terrifying: Russia, China, and Iran are already denouncing this as "armed aggression." China is Venezuela's biggest oil customer. They're losing billions. BRICS nations are watching a country get invaded for trading outside the dollar. Every nation considering de-dollarization just got the message: Challenge the dollar and we will bomb you. But here's the problem... That message might accelerate de-dollarization, not stop it. Because now every country in the Global South knows what happens if you threaten dollar hegemony. And they're realizing the only protection is to move FASTER. The timing is insane too: January 3rd, 2026. Venezuela invaded. Maduro captured. January 3rd, 1990. Panama invaded. Noriega captured. 36 years apart. Almost to the day. Same playbook. Same "drug trafficking" excuse. Same real reason: control of strategic resources and trade routes. History doesn't repeat. But it rhymes. What happens next: Trump's press conference at Mar-a-Lago sets the narrative. US oil companies are already lined up. Politico reported they've been approached about "returning to Venezuela." The opposition will be installed. Oil will flow in dollars again. Venezuela becomes another Iraq. Another Libya. But here's what nobody's asking: What happens when you can no longer bomb your way to dollar dominance? When China has enough economic leverage to retaliate? When BRICS controls 40% of global GDP and says "no more dollars"? When the world realizes the petrodollar is maintained by violence? America just showed its hand. The question is whether the rest of the world folds or calls the bluff. Because this invasion is an admission that the dollar can no longer compete on its own merits. When you have to bomb countries to keep them using your currency, the currency is already dying. Venezuela isn't the beginning. It's the desperate end. What do you think?
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Adam Consuli retweetledi
Pavel Durov
Pavel Durov@durov·
I’m turning 41, but I don’t feel like celebrating. Our generation is running out of time to save the free Internet built for us by our fathers. What was once the promise of the free exchange of information is being turned into the ultimate tool of control. Once-free countries are introducing dystopian measures such as digital IDs (UK), online age checks (Australia), and mass scanning of private messages (EU). Germany is persecuting anyone who dares to criticize officials on the Internet. The UK is imprisoning thousands for their tweets. France is criminally investigating tech leaders who defend freedom and privacy. A dark, dystopian world is approaching fast — while we’re asleep. Our generation risks going down in history as the last one that had freedoms — and allowed them to be taken away. We’ve been fed a lie. We’ve been made to believe that the greatest fight of our generation is to destroy everything our forefathers left us: tradition, privacy, sovereignty, the free market, and free speech. By betraying the legacy of our ancestors, we’ve set ourselves on a path toward self-destruction — moral, intellectual, economic, and ultimately biological. So no, I’m not going to celebrate today. I’m running out of time. WE are running out of time.
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JuliaOS
JuliaOS@BuildOnJulia·
A new frontier for the swarm. We’re partnering with @UseRobora - bringing JuliaOS modules + swarm intelligence into robotics. Robora’s platform will now run on: → modular code → real-time autonomy → decentralized orchestration This isn’t just integration. It’s AI × Robotics × Blockchain - unleashed. The swarm expands.
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Larry@purewallet
Larry@purewallet@LarryPureLabs·
Inclusion 2025 on the Bund, Shanghai! I am humbled and honored to represent all of the values and tenants of this years Inclusion 2025 Conference, inclusion amongst the top minds and trendsetters within fintech/disruptive technologies is truly a major milestone! As a featured speaker my keynote topic “Global stablecoin strategy and policy, experts talk” is one of main topics for this years conference! Proud to represent @BuildOnJulia on the global stage and bring eyes on JuliaOS at the most prestigious fintech innovation, policy, and disruptive technology conference in all of APAC! “The Inclusion Conference is China's flagship summit hosted at Shanghai’s historical “Bund” that brings together global entrepreneurs and academic leaders to explore directions of financial innovation in the era of Al, demonstrate influential practices in scientific innovation ecosystems, and discuss how to rebuild innovation-driven growth via finance and technology. The Main Forum on September 10 in particular will feature top minds and business leaders, as well as members from China's and Asia's policy community”.
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Adam Consuli retweetledi
Larry@purewallet
Larry@purewallet@LarryPureLabs·
AIDC’s & JuliaOS education and integration! (Context for $JOS in AIDC) By @LarryHashpowerX @BuildOnJulia Let’s start with the basics! - Unit of Measurement: It is often measured in FLOPS (floating-point operations per second). A higher number means faster calculations per unit of time. - Computing Power Carriers: At the core of a computing center are thousands of high-performance GPUs (graphics processors), supported by CPUs, high-speed networks, storage, and cooling systems for efficient collaboration. - Uses of Computing Power: It drives AI models through "learning" (training) and "working" (inference). It also supports scientific computing, big data analysis, graphics rendering, and other computation-intensive applications. Types of Computing Power, Features, and Market Prices Computing power in intelligent computing centers focuses on AI's core tasks: training and inference. Training Computing Power - Purpose: "Teaches" AI models by feeding them massive data (e.g., images) and adjusting parameters to learn skills (e.g., face recognition). This stage consumes the most resources and can take days or months. - How It's Sold: Typically in packages based on time and hardware (e.g., "rent 8-card A100 server for 1 week" or "rent 32-card H100 cluster for 1 month"). Users get exclusive access for intensive, long-duration tasks. - Price Characteristics: High unit price, paid for the duration needed. Inference Computing Power - Purpose: Enables trained AI models to work by processing user inputs (e.g., questions or data) and delivering results. Each request requires far less computation than training. How It's Sold: - By request/token volume (e.g., "X amount of $dollars/$JOS per 1,000 image recognition requests"). - By resources and time (e.g., hourly or minute-based billing for smaller setups like single-card servers). - By reserved resources (users commit to a fixed amount for stability and discounts). - Price Characteristics: Lower unit price, but totals can add up with high volume. Five Key Factors Influencing Computing Power Sales Purchasing computing power involves more than unit price. Prices and packages depend on these factors: Capacity Type and Precision - Type: Specify training or inference needs, as they require different hardware, software, and service models. - Precision: Common formats include FP32 (single precision), FP16/BF16 (half precision), and INT8 (8-bit integer). Match precision to the application's tolerance. Hardware Configuration and Performance - GPU Model and Quantity: Core element; variations in generation, model, performance, memory, and interconnection bandwidth cause major price differences. - CPU and Memory: Essential for data feeding to GPUs. - Storage I/O: Critical for high-speed data access in training. - Network Bandwidth and Latency: Vital for intra-cluster communication, especially in large-scale tasks. Duration of Use and Billing Mode - Duration: Short-term on-demand vs. long-term stable use; commitments often yield discounts. Billing Models: - On-demand: Flexible but highest unit price. - Reserved instances/packages (e.g., monthly or yearly): Lower price for committed resources. - Spot/bidding: Low cost for idle resources, but interruptible; suits fault-tolerant tasks. - Pay-per-use: Based on actual consumption; ideal for variable inference. Software Ecosystem and Service Support (Pre-installed Frameworks and Tools) Saves time if AI libraries and environments are ready. For optimization, integrate JuliaOS, an open-source framework built on the Julia language for high-performance AI swarm intelligence. JuliaOS enables decentralized agent-based architectures, allowing swarms of AI agents to collaborate, adapt, and execute tasks in real time—up to 100x faster than Python-based systems—with features like neural network orchestration and parallel scaling for efficient resource utilization in training and inference.
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Adam Consuli retweetledi
JuliaOS
JuliaOS@BuildOnJulia·
JuliaOS + @KiiChainio Innovation Unleashed Integrating JuliaOS into the KiiChain ecosystem, a key player in emerging markets, marks a significant leap forward. KiiChain devs can now harness their creativity to craft cutting-edge apps, bridges, and tools, all powered by the swarm.
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JuliaOS
JuliaOS@BuildOnJulia·
Crafted by the restless. For those who refuse to settle, who see the world and demand it be remade - better, faster, more powerful. This is the swarm. Not a single mind, but a multitude - millions working in concert, pushing every boundary, refusing to accept the old ways. No closed doors. No compromise. No slowing down. JuliaOS is radically open, relentlessly fast, and built with your vision at its core. Intelligence without chains - modular, scalable, secure, and always ready for the next challenge. For developers, this is your new home. For investors, this is your new frontier. For everyone who believes in progress, this is your future. JuliaOS. Stay restless. Swarm on.
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JuliaOS
JuliaOS@BuildOnJulia·
Every single partner is handpicked. Every product crafted with precision and a plan. Nothing happens by chance. Together, they fuel a dynamic, ever-evolving ecosystem.
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JuliaOS
JuliaOS@BuildOnJulia·
🔹 CONSCIOUS - Q3 2025 The swarm’s mind. A decentralized LLM that’s not hosted, not throttled, and not beholden. Trained for coordination. Tuned for autonomy. Uncaged intelligence is coming.
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JuliaOS
JuliaOS@BuildOnJulia·
We've ditched email logins on PULSE! All you need now is a wallet. Connect and create. Keep your eyes peeled for a big update this week. The agentic future is coming.
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JuliaOS
JuliaOS@BuildOnJulia·
We'll repeat this until everyone gets it. We're not building software. We're building a shift. PULSE went live. Our no-code dApp. CONSCIOUS got teased. Our LLM. Together, these are set to transform the landscape. Our complete product stack will be interconnected. It will make sense, not just be an excuse to attach a token to a cool dApp. We didn't come to compete. We came to dominate. Are you ready?
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JuliaOS
JuliaOS@BuildOnJulia·
CONSCIOUS The intelligence layer fueling the OS. The heart. The brain. It's coming to life. @ConsciousLLM
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Adam Consuli
Adam Consuli@suprememperor·
Our community will soon find out what @BuildOnJulia truly means. The Swiss Army knife of AI projects.
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Larry@purewallet
Larry@purewallet@LarryPureLabs·
Why agentic enhancement is important, the devil is in the details. @BuildOnJulia
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Adam Consuli
Adam Consuli@suprememperor·
A step closer to impact the whole mining industry in a positive way.
RAX Finance@RaxFinance

@HashpowerX and @BuildOnJulia are delighted to announce a strategic cooperation (1million dollar MOU) focused on agentic ai and merge mining integration. Look for further developments and announcements coming from this exciting new partnership. #AI #Web3 #AgenticAI

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Adam Consuli@suprememperor·
Hybrid LLMs is a very interesting topic. Multimodal models. AI industry is facing a big shift. And I was thinking, maybe JuliaOS should have its own LLM ... Time to enter a domain. And participate in the shift.
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JuliaOS
JuliaOS@BuildOnJulia·
JuliaOS + @HashpowerX • Mining optimization IP developed and tested together • Access to one of the world most powerful gpu providers • Diversification into merge mining Suddenly your hardware doesn't mine. It strategizes.
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Larry@purewallet
Larry@purewallet@LarryPureLabs·
JuliaOS: Key Challenges/Solutions for AI-Native Applications in Enterprise Production Scenarios By @LarryMetaTrust Powered by @BuildOnJulia AI-native applications in enterprise settings must address several critical challenges to ensure effective deployment and operation. These challenges include security, professionalism, collaboration, and responsibility. The specific solutions outlined below to tackle five key aspects. Core Challenges 1. Security: Data Security: Protecting sensitive enterprise data from breaches and unauthorized access. Model Interaction Security: Ensuring safe and secure interactions between AI models and users or systems. Application Security: Safeguarding the application itself from vulnerabilities and threats. 2. Professionalism and Collaboration: Enabling large-scale AI models to understand and address complex, industry-specific business problems effectively. Facilitating seamless collaboration between AI systems and human teams to enhance productivity. 3. Responsibility: Defining the roles and responsibilities of AI when assisting or replacing human tasks. Determining whether AI can reliably bear these responsibilities while maintaining accountability. Five Key Aspects to Address To overcome these challenges, enterprises must focus on the following areas: 1. Enterprise Glossary: Each enterprise has a unique glossary of technical terms and jargon. AI models must integrate these terms to accurately interpret and respond to enterprise-specific queries, reducing ambiguity and improving response accuracy. 2. Domain Knowledge Base: Large AI models require a robust knowledge base to stay relevant. While model training occurs periodically, external data and knowledge evolve rapidly. Integrating a dynamic knowledge base ensures real-time updates, enhancing the timeliness and effectiveness of AI responses. 3. Scenario Paradigm: AI models are designed for general use, but business scenarios vary widely. To address this, a flexible architecture is needed to adapt general models to specific, variable scenarios. For example, Huawei Cloud has developed seven agent scenario paradigms inspired by human problem-solving: - Session Interaction - Content Understanding - Perceptual Reception - Central Decision-Making - Knowledge Query - Design Generation - Data Analysis - These paradigms simplify the development of AI agents tailored to diverse enterprise needs. 4. Model Gateway: A model gateway is essential for managing large-scale AI applications. It serves multiple purposes: Business Routing: With numerous models available (both self-built and third-party), the gateway directs specific business tasks to the most suitable model. Unified Interface: Models often differ in input and output formats. A gateway standardizes these interfaces for seamless integration. Failover Mechanism: As IT systems, AI models may experience failures or downtime. A gateway enables failover mechanisms to enhance application availability. Observability and Performance Tracking: The gateway provides a control point to monitor model performance, measure inference accuracy, evaluate costs, and track feedback for continuous improvement. By addressing these challenges and implementing solutions across these five aspects, enterprises can effectively deploy AI-native applications, ensuring security, professionalism, and accountability in production environments. Driven by the swarm on JuliaOS!
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