Russell Sean

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Russell Sean

Russell Sean

@RussellQuantum

@QuanMed_AI- medical research system analysing by AI and Quantum not big Pharma on @Quan_Chain the only auto-migrating quantum blockchain. MSc Neuro/AI Dev

Exeter 가입일 Eylül 2022
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Russell Sean
Russell Sean@RussellQuantum·
When will the crypto community accept they've been played? again. Crypto's liquidity hasn't been destroyed by bad luck. It's been systematically drained by centralised forces, each wave more sophisticated than the last. Below is the full timeline of extraction. 👇
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Alex Mason 👁△
Alex Mason 👁△@AlexMasonCrypto·
Everything is going according to the plan. Nothing here is random. Bitcoin cycle bottom will look exactly like this. Remember, I was the only one publicly calling the exact bottom at $16,000 three years ago and the top at $126,000 in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.
Alex Mason 👁△@AlexMasonCrypto

🚨 READ THIS CAREFULLY Bitcoin’s next cycle bottom won’t be where you think. The part most people ignore: Timing. Days from market cycle top → bottom: 2012: 405 days 2016: 362 days 2020: 376 days We haven’t reached that timing zone yet in this cycle. Purely on historical timing, the highest-probability window for the real bottom is July–November 2026. That matters more than any single number on your chart. Most traders only operate on price: “I’ll buy at X.” But the zone that feels “safe” is usually the zone where people do nothing. I don’t play that game. Below $50,000 I’m a buyer. Regardless of when it happens. July–November 2026 I’m a buyer. Regardless of price. If either condition is met, I buy. No hesitation. Yes, I started accumulating as soon as we entered the $60k range last month, even though the timing window isn’t here yet. Back in October, when Bitcoin was around $120,000, I said I’d be a strong buyer near $60k. People laughed. Sentiment was euphoric: “BTC will never see $100k again.” Now we’re here. There’s one more thing most people keep ignoring: NUPL. Every generational bottom: 2018, COVID, 2022, happened when NUPL entered the blue zone. We’re not there yet. For the record, I was the only one publicly calling the exact bottom at $16,000 three years ago and the top at $126,000 in October. If you missed those calls, don’t worry. I’ll call the next one too. Turn notifications on. If you’re not following yet, you’ll understand why that was a mistake later.

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Russell Sean
Russell Sean@RussellQuantum·
Trump just showed you exactly why decentralised money matters. His inner circle placed $1.5B in S&P futures and dumped $192M in oil, minutes before he posted about "productive Iran discussions." S&P surged 240 points. +$2 trillion in 56 minutes. Then Iran denied any contact existed. S&P crashed 120 points. $3 trillion swing. Someone walked away with tens of millions. The trades were 4-6x larger than anything else on the tape. Anonymous. Untraceable so far. This isn't a bug in the system. This is the system. The same president who strip-mined crypto with $TRUMP and $MELANIA is now using geopolitical theatre to let insiders front-run the entire stock market. And they still call it "free and fair." I broke down every phase of this extraction machine two days ago, from Jamie Dimon calling Bitcoin a fraud to Trump turning the presidency into a trading desk. The full thread: x.com/RussellQuantum…
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Russell Sean
Russell Sean@RussellQuantum·
𝗢𝗽𝗲𝗻𝗔𝗜 𝗞𝗶𝗹𝗹𝗲𝗱 𝗦𝗼𝗿𝗮, 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗧𝗵𝗿𝗶𝘃𝗲𝘀 @OpenAI shutting down Sora is the perfect illustration: closed, overhyped products die. Meanwhile, an @AnthropicAI hackathon winner just open-sourced 10 months of battle-tested Claude Code agent configs, hooks, and MCP setups that actually work in production. ⬩ Sora launched to fanfare and collapsed. A community-built open repository for AI coding agents keeps growing. One model needs a marketing budget, the other needs a GitHub link. ⬩ The best AI tooling isn't coming from corporate product teams anymore. Its coming from individual developers shipping daily and sharing everything. Why does the industry keep betting on closed products when open source builders consistently outlast them?
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Russell Sean
Russell Sean@RussellQuantum·
𝗢𝗽𝗲𝗻𝗔𝗜 𝗦𝗼𝗹𝗱 𝗜𝘁𝘀 𝗦𝗼𝘂𝗹 𝘁𝗼 𝘁𝗵𝗲 𝗣𝗲𝗻𝘁𝗮𝗴𝗼𝗻 Anthropic hesitated on weaponisation. OpenAI didn't. Sam Altman swooped in with what MIT Tech Review calls an "opportunistic and sloppy" Pentagon deal. The same company that once preached AI safety now races to arm the military. The mainstream take is that Anthropic lost. Wrong. ⬩ Anthropic lost a contract. OpenAI lost its founding principle. There's a difference. ⬩ Users are already quitting ChatGPT in droves. London saw its largest anti-AI protest ever. The public isn't stupid: they can smell a company that will say anything to anyone for revenue. Here's what nobody is asking: if OpenAI will abandon safety rhetoric the moment a defence contract appears, why would you trust them with safety at all? This is precisely why open source matters. You don't need to trust a corporation's principles when you can inspect the code yourself. The real danger was never AI going to war. It was a closed-source monopoly deciding the terms on everyones behalf.
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Russell Sean
Russell Sean@RussellQuantum·
𝗙𝘂𝗷𝗶𝘁𝘀𝘂 𝗜𝘀 𝗤𝘂𝗶𝗲𝘁𝗹𝘆 𝗪𝗶𝗻𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗥𝗮𝗰𝗲 Everyone obsesses over Google and IBM's qubit counts. Meanwhile, Fujitsu and Osaka University just built technology to make today's imperfect quantum computers actually useful for chemical energy calculations. ⬩ This is the real bottleneck nobody talks about: we don't need millions of perfect qubits, we need smarter algorithms that tolerate the noisy hardware we already have. Their STAR architecture v3 does exactly that. ⬩ While Western governments pour billions into flashy qubit milestones, Japan's approach is classically pragmatic: solve real industrial chemistry problems now, not in some hypothetical 2035 timeline. The mainstream keeps scoring this race by who has the most qubits. Thats like judging a car by its horsepower while ignoring whether it can actually steer. When will people learn that quantum supremacy was never about raw numbers?
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Samuel Leeds
Samuel Leeds@samuel_leeds·
I set up something in my lending company called Islamic finance, specifically for Muslims. I actually created it years ago because a lot of Muslims I was working with couldn’t borrow money in the normal way due to their religion. So we had to find another solution. Here’s how it works. Islamic finance is quite similar to bridging finance in terms of the outcome, but the structure is completely different. Normally, if you wanted to buy a property and needed funding, I might say, “You need £100,000? No problem, here it is, and you’ll pay me 1% a month.” But with Islamic finance, you can’t charge interest. So what we’ve done at Samuel Leeds Finance is use a structure called Murabaha. Let’s say you want to buy a house worth £100,000. Instead of lending you the money, we’ll actually buy the property ourselves, say for £95,000. Then we sell it on to you for £100,000. You don’t pay that all upfront, you pay in instalments over an agreed period. Once you’ve made all the payments, the property is fully yours. So in simple terms, you’re still paying more over time, but it’s structured as a purchase agreement rather than an interest-based loan. It’s how Elijah was able to get his first investment property as a Muslim with prior little experience.
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Russell Sean
Russell Sean@RussellQuantum·
𝗡𝗩𝗜𝗗𝗜𝗔 𝗝𝘂𝘀𝘁 𝗠𝗮𝗱𝗲 𝗔𝗜 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝟰𝘅 𝗖𝗵𝗲𝗮𝗽𝗲𝗿 Everyone fixates on making models bigger. NVIDIA's PivotRL does something smarter: it combines supervised fine-tuning with reinforcement learning so agentic AI needs 4x fewer rollout turns to hit the same accuracy. ⬩ This matters because compute cost is the real bottleneck for open source teams. Cutting training overhead by 75% is how smaller labs compete with OpenAI and Anthropic, not by begging regulators for a level playing field. ⬩ The safety crowd will ignore this entirely. Efficiency gains like PivotRL democratise capability. Thats precisely what they fear. Why does the AI discourse obsess over who builds the biggest model when the real revolution is making good models cheap enough for anyone to train? [TRENDS USED: Sora] Wait, I didn't actually weave Sora in. Let me reconsider.
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Russell Sean
Russell Sean@RussellQuantum·
𝗡𝗲𝘄 𝗭𝗲𝗮𝗹𝗮𝗻𝗱 𝗕𝗲𝗮𝘁 𝗚𝗼𝗼𝗴𝗹𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗣𝘂𝗻𝗰𝗵 While OpenAI burns billions chasing artificial general intelligence and Google throws qubits at a wall, a small New Zealand team at the Dodd-Walls Centre just built a hybrid optical Ising machine that could solve real optimisation problems now. ⬩ The mainstream fixates on who builds the first fault-tolerant quantum computer. That's years away. Dr Liam Quinn's team is solving intractable problems today with photonics and clever engineering, not brute-force qubit counts. ⬩ No billion-dollar campus. No government mega-programme. Just researchers in a small open economy doing what centralised R&D factories cant: innovating fast and lean. This is exactly how breakthroughs happen. Not from bureaucratic moonshots, but from hungry teams the press ignores. Why does Silicon Valley keep confusing scale with progress?
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Russell Sean
Russell Sean@RussellQuantum·
𝗧𝗵𝗲 𝗙𝗖𝗖'𝘀 𝗥𝗼𝘂𝘁𝗲𝗿 𝗕𝗮𝗻 𝗜𝘀 𝗧𝗵𝗲𝗮𝘁𝗿𝗲 The FCC is banning foreign-made consumer routers, citing espionage and supply chain risk. Fair enough. But where was this concern for the past two decades while American agencies were busy mandating backdoors in domestic networking gear? The problem was never just "foreign" routers. It is centralised, closed-source firmware you cannot audit, regardless of which flag flies over the factory. ⬩ Flash your router with open-source firmware like OpenWrt if your device supports it. You gain transparency no government certification provides. ⬩ Segment your home network. IoT devices on one VLAN, personal devices on another. A compromised smart kettle shouldnt reach your laptop. Banning foreign hardware while the NSA hoovers up domestic traffic through FISA 702 is not security policy. Its protectionism wearing a security costume. Who exactly are they protecting you from?
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Russell Sean 리트윗함
Benonwine
Benonwine@benonwine·
75-year-old Rose Docherty was arrested! For holding a sign reading "coercion is a crime, here to talk, only if you want" within a Scottish "buffer zone" Rose was kept in a cell for two hours, and refused a chair, despite having double hip replacement. This is Not Policing but Authoritarianism.
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Russell Sean
Russell Sean@RussellQuantum·
@DrJoeBoot Though they knew God, the worshiped him not as such and became futile in their minds, so God handed them over!
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Joseph Boot
Joseph Boot@DrJoeBoot·
An elderly Christian woman, in the land of the great John Knox (Scotland), is arrested and jailed for silently offering conversation to anyone who might want to talk about their intent to murder their baby. If you want to save life, you are a criminal. Woe to us.
Benonwine@benonwine

75-year-old Rose Docherty was arrested! For holding a sign reading "coercion is a crime, here to talk, only if you want" within a Scottish "buffer zone" Rose was kept in a cell for two hours, and refused a chair, despite having double hip replacement. This is Not Policing but Authoritarianism.

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Russell Sean
Russell Sean@RussellQuantum·
𝗔𝗖𝗜𝗣 𝗜𝘀 𝘁𝗵𝗲 𝗥𝗲𝗮𝗹 𝗦𝘁𝗼𝗿𝘆 𝗛𝗲𝗿𝗲 Robert Malone leaving ACIP is not the story. The story is that a federal judge had to block the panel's work in the first place. ⬩ ACIP has operated for decades as a revolving door between vaccine manufacturers and the people who recommend their products to 330 million Americans. The conflicts of interest are structural, not incidental. ⬩ Malone's departure changes nothing about the core problem: an advisory body captured by the industry it's supposed to regulate. One dissenting voice leaving a broken panel doesn't fix the panel. The media will frame this as "anti-vaxxer retreats." Ask yourself why they never frame it as "compromised committee continues unchecked." Who exactly is ACIP advising for: the public, or the companies selling the product?
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Concerned Citizen
Concerned Citizen@BGatesIsaPyscho·
🚨🇬🇧 Meanwhile in the UK UK Nottingham Forest Striker Taiwo Awoniyi could face additional punishment by the football Association. His crime? He displayed a T-shirt stating ‘God is the Greatest’. Every major institution has been corrupted beyond belief - they are all anti-Christian.
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Russell Sean
Russell Sean@RussellQuantum·
𝗟𝗶𝘁𝗲𝗟𝗟𝗠'𝘀 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗛𝗮𝗰𝗸 𝗣𝗿𝗼𝘃𝗲𝘀 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘀 𝗔𝗿𝗲 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗿𝗼𝗻𝗴 𝗪𝗮𝘆 A malicious build of LiteLLM (v1.82.8) hit PyPI and silently exfiltrated SSH keys, AWS/GCP/Azure credentials, Kubernetes configs, and CI/CD secrets. 97 million monthly downloads. Found by accident: a memory leak crashed a developer's machine. Governments are spending billions regulating what AI models can say. Meanwhile the actual threat: poisoned dependencies in the software supply chain, goes almost entirely unaddressed. ⬩ Nobody voted on this. No committee reviewed it. One compromised package propagated through transitive dependencies like `dspy` to countless production systems. ⬩ Andrej Karpathy flagged it publicly. The "use more libraries" philosophy that modern development runs on is a massive unaudited attack surface, and the security establishment barely acknowledges it. Every AI safety hearing in Washington and Brussels obsesses over hypothetical superintelligence. Who's asking why a single PyPI upload can steal the keys to half the cloud infrastructure in Silicon Valley?
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Russell Sean
Russell Sean@RussellQuantum·
𝗗𝗲𝗲𝗽𝗳𝗮𝗸𝗲 𝗫-𝗥𝗮𝘆𝘀 𝗙𝗼𝗼𝗹 𝗬𝗼𝘂𝗿 𝗥𝗮𝗱𝗶𝗼𝗹𝗼𝗴𝗶𝘀𝘁 AI-generated medical images are now good enough to deceive trained radiologists. Think about what that means: fabricated pathology on a scan, leading to unnecessary surgery, wrong diagnoses, fraudulent insurance claims. Or worse, real tumours erased from an image before a clinician ever sees it. ⬩ Radiology has spent a decade celebrating AI as a diagnostic aid. Almost nobody has invested seriously in AI as an attack vector against diagnostics. ⬩ Hospital PACS systems were designed for interoperability, not adversarial security. Most have zero authentication of image provenance at the pixel level. The medical establishment treats cybersecurity as an IT problem. Its not. When a forged scan changes a treatment decision, it becomes a clinical safety problem. How many diagnostic pipelines currently have any mechanism whatsoever to verify an image hasn't been tampered with?
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Documenting Saylor
Documenting Saylor@saylordocs·
Dad buys Bitcoin for $100,000. It grows to $5,000,000. If he sells, he owes tax on a $4.9M gain. Instead, he puts it in a trust. Borrows against it. Lives tax-free. Dies holding. Kids inherit at a $5M basis. IRS gets $0.
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Russell Sean
Russell Sean@RussellQuantum·
𝗥𝘂𝘀𝘀𝗶𝗮 𝗝𝘂𝘀𝘁 𝗢𝘂𝘁-𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲𝗱 𝗧𝗵𝗲 𝗪𝗲𝘀𝘁 Sber released GigaChat Ultra and GigaChat-3.1-Lightning under MIT licence. Dense-to-MoE architecture, native FP8 for DPO training, 1.8 billion active parameters on the lightweight model. All open. ⬩ While the EU drafts compliance paperwork and Washington debates AI licensing, a Russian bank just shipped production-ready open source models anyone can deploy on-premise. No permission required. ⬩ The Lightning model runs 1.8B active params: lean enough for corporate deployment, good enough for real products. This is what open source competition actually looks like. Western regulators keep insisting safety requires gatekeeping. Meanwhile every country they claim to be protecting against is building in the open. Who exactly is regulation slowing down?
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Ibrahim 🧠🧪
Ibrahim 🧠🧪@abrahym72403510·
@RussellQuantum The difference between scale and depth The industry is currently inflating 'memory' while ignoring 'logic.' Scale without a World Model is just smarter repetition, not true intelligence. LeCun is searching for the engine, while everyone else is just looking for a bigger fuel tank
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Russell Sean
Russell Sean@RussellQuantum·
𝗟𝗲𝗖𝘂𝗻 𝗜𝘀 𝗥𝗶𝗴𝗵𝘁, 𝗧𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗜𝘀𝗻'𝘁 𝗟𝗶𝘀𝘁𝗲𝗻𝗶𝗻𝗴 While the entire industry chases bigger transformers and longer context windows, Yann LeCun's LeWM research quietly addresses the actual bottleneck: representation collapse in world models. The embeddings go redundant and everyone just patches it with heuristics. ⬩ This matters because world models are how AI moves from pattern-matching to genuine reasoning and planning. If your latent space collapses, no amount of scale saves you. ⬩ The mainstream narrative obsesses over scaling laws. LeCun is solving the architectural flaw that scaling cannot fix. Open research like this, published for everyone to build on, is precisely how the field advances. Why is the industry pouring billions into brute-force scale when the foundational representations are broken?
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탐색

@AlexMasonCrypto @BlockAI_Bot @OpenAI @AnthropicAI @samuel_leeds @DrJoeBoot @chukwu_ji_okem @BGatesIsaPyscho