Tau Net
@Tau_Net
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$AGRS | Sound Decentralized Development & Governance Is Solved. The Only Blockchain That Adapts to the Collective Requirements of Its Users.
Worldwide
Joined February 2015
Imagine software that adapts to you—individualized to your needs. Ohad Asor and the Tau Team are building the first and ONLY blockchain that its users fully control:
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Tau's synthesis is crucial for complex DeFi systems. Where a single logical inconsistency can drain millions, as seen in previous DAO and other DeFi infrastructure hacks. Tau's tech is used to build Tau Net and $AGRS to address these critical vulnerabilities.
Gen AI's probabilistic nature creates entropy precisely where complex systems need precision. The V-model dev model is the standard for critical products developed for the medical industry. The deeper you are into your V-model product development cycle, the more it costs to fix.
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Blazing-fast image creation – using just your voice. Try Grok Imagine.
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Tau Net and $AGRS' AI amplifies human ingenuity rather than replacing it.
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We must move beyond statistical approximation to Formal Logical reasoning and Reactive Synthesis. While others chase marginal improvements in LLM accuracy, Tau is building Tau Net. A critical ingredient for decentralized, safe & reliable AI. For mission-critical applications in
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The paper concludes LLMs "can never have the ability of true correct reasoning" due to fundamental limitations in their working principle. Tau Net addresses this by utilizing Tau Language to build its architecture. It can describe machine learning problems within a logical
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Paper quote: "All 'truth' and 'correctness' in LLMs are just 'statistical plausibility in text' but completely not correspondence to reality.". Ohad has consistently argued this point. In his MLST interview: "Machine learning is good for precisely the cases when you don't know.
While machine learning models and LLMs are exceptional at recognizing patterns, they fall short when it comes to providing logically sound solutions for intricate or complex issues. Modern software and network development increasingly demands reliability. Tau steps in with
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New paper confirms what @OhadAsor has been saying for years:. LLMs cannot achieve true, correct reasoning. The paper "Why Cannot Large Language Models Ever Make True Correct Reasoning?" echoes Ohad's core argument - statistical methods fundamentally lack correctness guarantees.
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Stanford’s HELM report shows GPT-4 hits 90%+ accuracy on math tasks. 90% accuracy in financial calculations means 1 in 10 transactions could be wrong!. This is why Tau Net & $AGRS exists. To deliver guaranteed correctness through formal verification. The Future of DeFi.
AI's Critical Reliability Gap in Fintech & DeFi. Current LLMs and coding tools produce plausible code that can fail disastrously in real-world use. Financial systems demand mathematical accuracy to meet regulatory standards and preserve user trust. Why LLMs Fall Short:.People
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RT @tau_l0g1x: COULD FORMAL VERIFICATION CHANGE BLOCKCHAIN CONSENSUS?. Could @Tau_Net's formal verification breakthroughs enable entirely n….
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RT @tau_l0g1x: TAU LANGUAGE - MATHEMATICAL GUARANTEES FOR DIGITAL CIVILIZATION. @Tau_Net's formal specification language creates mathematic….
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The tide is starting to turn as the industry begin to realize the truth.
The AI programming shift is happening, and it's bigger than prompts or LLMs. Across the industry, a new truth is setting in: the most critical aspect of software dev used to be writing code; now, it's about conveying intent accurately in specifications. Tau Net and $AGRS lead,
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Specs are written in Tau Language. If it can written in the Tau language it's executable. Tau Language is built on formal logic. - Every statement is verifiable. - Every output is guaranteed according to your specification.
Logical AI Software Specification & Reasoning: GSSOTC. > Tau Language is a logical AI language enabling Software & AI specification with advanced AI capabilities such as:. - Mechanized Reasoning.- Correct by Construction Software.- Built-in Consistency.-
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Vibe Coding is broken. Reactive Synthesis is the Answer. Tau Net leverages Tau's Reactive synthesis tech synthesising correct-by-construction software from specifications. Tau's specifications are executable as functional software. You describe what it should do, and it
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Here’s the root issue:. AI code tools use probabilistic methods. They don’t know when they’re wrong. They guess. You’re still the safety net—debugging, validating, reverse-engineering what the tool just spit out.
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It gets worse. The study found developers wrote 47% more code with AI. Not better code, just more of it. Bloated, verbose, overengineered output = more tests, more idle time, more review friction. Actual utility was negative in real-world settings.
Vibe-coding is all fun and games until you have to vibe-debug, vibe-refactor, and vibe-deploy.
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The false speed illusion. Developers thought they were saving time with AI. In reality, tasks took 19% longer. Why?.•61% of code was rejected.•Accepted code still needed rework.•Prompting cycles killed flow.•AI missed critical context in mature codebases.
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AI coding tools promise to save developers time, but a recent study reveals they're doing the opposite. Productivity dropped 19% for experienced devs using AI tools on mature codebases. Let’s break down why and why Reactive Synthesis. 👇
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RT @tau_l0g1x: The Mathematical Breakthroughs Behind Tau Language. Three 70+ year old problems in logic and mathematics were recently solve….
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Unlike gen AI that produces probable outputs, reactive synthesis constructs programs guaranteed to satisfy temporal specifications. Tau Net & $AGRS will be the first AI blockchain and tokenomics that can adapt automatically to its participants requirements.
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