David Novisov/ Andrey Gololobov

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David Novisov/ Andrey Gololobov

David Novisov/ Andrey Gololobov

@sabcoin

I am very excited about Polymarket

POLYMARKET & GONKA Ai Katılım Ocak 2017
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David Novisov/ Andrey Gololobov retweetledi
Alter Ego
Alter Ego@AlterEgo_eth·
10 GitHub repos that cut your Claude Code token usage by 60–90% This will help you when creating your own trading bots and tools for Polymarket, as well as for any other tasks Here's the full list 1. RTK (Rust Token Killer) CLI proxy that filters terminal output before it
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Polymarket
Polymarket@Polymarket·
BREAKING: Tucker Carlson hits all-time high in the 2028 Presidential Election odds, as he teases a potential run. 7% chance.
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Polymarket
Polymarket@Polymarket·
Hyperliquid up or down? 5 minute up/down HYPE polymarkets are now live.
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DeltaForge
DeltaForge@DeltaForgeInfo·
Do you really think next week will be quiet? Markets rarely stay calm when the world isn’t. If you expect volatility, don’t just watch it - trade it on @Polymarket
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David Novisov/ Andrey Gololobov
I'm just in the process of actively synchronizing and strategically aligning my schedule for final order pickup! 🚀 The platform is currently in the dynamic data loading phase, which opens up a wonderful window of opportunity for flexible planning and optimization of the pickup.
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David Novisov/ Andrey Gololobov retweetledi
Polymarket
Polymarket@Polymarket·
We price the future. Now you can lever it. Perps are coming to Polymarket. Sign up for early access 👇
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Pentagon Pizza Watch
Pentagon Pizza Watch@pizzintwatch·
INTRODUCING ELECTIONHUB 🔵🔴 A live war room for US elections.
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David Novisov/ Andrey Gololobov retweetledi
Charles Guillemet
Charles Guillemet@P3b7_·
Today, Google Quantum AI published a research paper that might boost the post-quantum migration. Their team has tailored Shor’s algorithm to solve the 256-bit Elliptic Curve Discrete Logarithm Problem. ECDLP is the hard mathematical problem that secures ECDSA: the signature scheme underpinning most blockchains, TLS certificates, and countless authentication systems, using fewer than 1,200 logical qubits and 90 million Toffoli gates. Translated to hardware: fewer than 500,000 physical qubits, executing in a few minutes. A few minutes. Less than a Bitcoin block time. Less than two Ethereum epochs. The long-standing argument that public keys can simply remain hidden is now moot (In fact, it has always been x.com/P3b7_/status/1…). What exactly changed Shor's algorithm has been known since 1994 as a generic quantum approach to factoring integers and computing discrete logarithms. But "known" and "practical" are very different things. The real progress is in the engineering: how many qubits and gates you actually need once you compile the algorithm into a fault-tolerant quantum circuit. The last breakthrough by the INRIA Rennes team required ~2,100 logical qubit count for ECDLP. Google's engineers optimized the full circuit stack to ~1,200 logical Qubits. The recent algorithmic trendline is clear: every 12-18 months, the resource estimates drop significantly. And these are pure algorithmic gains: they compound on top of hardware improvements, which remain a major challenge. However, as of today, we're still far from having such a quantum computer. This didn't change. Zero Knowledge Proof Here's where it gets interesting. Google chose not to publish their optimized circuits. Instead, they released a zero-knowledge proof that their circuits achieve the claimed resource counts. We have no doubt they know how to do it, but no clue how (sounds magic ;-)) The reasons are likely multiple: competitive advantage, national security implications, or simply not wanting to hand a blueprint to adversaries. Regardless, it establishes a powerful (and elegant) precedent. What’s ironic: Google's ZK proof is not itself post-quantum secure. What’s next? The good news is that we already have the tools: Post Quantum Cryptography, now we need to migrate. A few days ago, Google announced it is targeting 2029 for full post-quantum readiness. NIST plans to deprecate RSA signatures by 2030 and disallow all legacy algorithms by 2035. Most organizations haven't started their cryptographic inventory. Major blockchain protocols are currently discussing the path forward. Cryptography exists to create mathematical trust in the security of systems. That trust is now being eroded, not by a working attack, but by the increasingly credible prospect of one. In security, the moment you start doubting the foundation is the moment you should be rebuilding it. What this means for blockchains For blockchain ecosystems specifically, the threat is central. ECDSA on secp256k1 (Bitcoin) and P-256 curves (broadly used elsewhere) is the cornerstone of security. Unlike traditional systems where you can rotate certificates behind a corporate firewall, blockchain migration requires coordination across decentralized, permissionless networks. This process will likely take time. I'll be diving deeper into the concrete challenges and strategies for PQC migration on blockchains and secure systems at my keynote this Thursday at EthCC conference.
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Donut
Donut@DonutAI·
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Gonka
Gonka@gonka_ai·
The conversation continues. The full English version of the interview with David and Daniil Liberman @DaLiberman is live. A deeper dive into AI as an ecosystem that shapes incentives, power, and human behavior, not just tools. Watch here: youtube.com/watch?v=wp7izq…
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David Novisov/ Andrey Gololobov retweetledi
Gonka
Gonka@gonka_ai·
The year where compute stopped being abstract and started becoming real. More nodes. More silicon online. More people choosing to build instead of rent. Thank you to everyone who ran hardware, reviewed code, participated in governance, broke things, fixed things, and kept the
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David Novisov/ Andrey Gololobov retweetledi
Gonka
Gonka@gonka_ai·
New Conversation Out Now Recorded in Tashkent, Danil and David Liberman @DaLiberman discuss decentralized AI, compute sovereignty, and why advanced infrastructure is consolidating faster than most expect. The episode was recorded during their working visit to Uzbekistan,
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David Novisov/ Andrey Gololobov retweetledi
Gonka
Gonka@gonka_ai·
A new interview with Daniil Liberman @DaLiberman has been published by CBN, focusing on the concentration of AI infrastructure and the structural risks of centralized hardware control. The conversation looks at how access to compute shapes who can build, how distributed networks
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David Novisov/ Andrey Gololobov retweetledi
Gonka
Gonka@gonka_ai·
Why integrate PoC directly into vLLM? Unloading and reloading model weights during validation adds avoidable latency and memory churn. PoC v2 keeps the model warm in memory. Validation becomes a runtime state transition instead of a context switch.
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David Novisov/ Andrey Gololobov retweetledi
Gonka
Gonka@gonka_ai·
Daniil Liberman @DaLiberman spoke with Bloomberg Adria on the monopolization of AI infrastructure — who controls compute, what that means for the rest of the world, and what the alternative looks like. Leaders for BBA, March 9, 2026.
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