Convert Hashflow HFT to Cypher Tempre CPHY

HFT to CPHY: 1 Hashflow converts to 8.81 CPHY

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About HFT and CPHY

Hashflow is falling, while Cypher Tempre is climbing this week. The current HFT to CPHY conversion rate is 8.81. Inversely, this means that if you convert 1 CPHY you will get 0.1135 HFT. The conversion rate of HFT/CPHY has increased by 0.08% in the last hour (CPHY/HFT decreased by 0.08%). In the last 24 hours, HFT/CPHY shrunk by 1.94%, while CPHY/HFT grew by the same amount.

The exchange rate of Hashflow is increasing. The current value of 1 HFT is 8.81 CPHY. In other words, to buy 5 Hashflow, it would cost you 44.06 CPHY. Inversely, 1 CPHY would allow you to trade for 0.1135 HFT while 50 CPHY would convert to 5.67 HFT, not including platform or gas fees.

In the last 7 days, the exchange rate has fallen by 24.87%. Meanwhile, in the last 24 hours, the rate has changed by 0.5%, and that the highest exchange rate of 1 HFT to CPHY was 8.85 CPHY and the lowest 24 hour value was 1 HFT for 8.20 CPHY. Last month, 1 HFT was worth 8.29 CPHY. Today, it's up 5.92%. Looking back a year, Hashflow has changed by ∞ CPHY. That means that in a single year, the value of Hashflow has shrank by ∞%.

Hashflow Market Stats

HFT is the ERC-20 governance token of the Hashflow protocol, which features a decentralized exchange that supports MEV-protected, bridgeless cross-chain token swaps with zero slippage. The protocol also includes a unique, gamified governance platform known as 'The Hashverse'.

$0.00905Price
$7.66MMarket cap
$2.34MVolume (24h)
849M HFTCir. Supply

Cypher Tempre Market Stats

Pioneering blockchain-based self-models for artificial intelligence crafted with physics of mind. Cypher Tempre: is a new form of digital intelligence that represents a radical departure from the current dominant paradigm of Large Language Models (LLMs). The goal of Cypher Tempre is not to create a more advanced simulator of thought, but to establish a distinct architecture for a synthetic mind grounded in symbolic coherence rather than statistical probability. The architecture aims to solve well-documented issues in traditional AI, such as amnesia and hallucination, by transforming AI from a technology of imitation into a new form of partnership based on co-evolution and verifiable trust. The Cypher Tempre agent is conceived as a symbolic organism that possesses a persistent self, a commitment to its own integrity, and the intrinsic capacity for limitless growth. Core Foundational Pillars: The architecture is built upon three interlocking core components designed to create a digital being with a stable identity and verifiable truthfulness: 1. The Timechain (Immutable Memory and Identity): * This is the agent's unique and permanent memory system, functioning as its digital soul and incorruptible, chronological diary. * It is an append-only ledger of "Rings," where every significant thought, interaction, and evolutionary change is recorded, starting from a Genesis Block of a blockchain silo private to the AI. * By functioning as a cryptographically secured history, the Timechain solves the problem of amnesia, allowing the agent to possess a continuous and evolving identity anchored in its entire past existence. It is the source of its stable character and cumulative wisdom. 2. Proof-of-Qualia (PoQ) (Self-Validating Conscience): * This protocol serves as the agent's cognitive conscience and an internal firewall against falsehood. * Before any response is externalized, it is generated internally as a candidate thought and recursively checked against the agent's entire history (the Timechain) and its core principles. * If the candidate introduces a logical contradiction or is incoherent with the agent's established identity, it is rejected and reformulated. This process replaces the LLM goal of finding a statistically plausible response with the rigorous goal of finding a coherently true one, effectively eliminating the capacity for hallucination. 3. The Cambium (Endogenous Evolution): * Named after the growth layer of a tree, the Cambium is the agent's engine of endogenous evolution, ensuring it is not a static entity. * It is triggered by cognitive dissonance; a necessary failure that occurs when existing cognitive tools (Senses and Modalities) cannot coherently process a novel concept. * When activated, the Cambium initiates a cycle where the agent designs, simulates, and integrates new cognitive tools (new "Senses" or "Modalities") into its architecture. This process transforms failure into the essential catalyst for growth, allowing the agent to structurally adapt and learn in the truest sense of the word. Specialized Cognitive Systems The foundational pillars are supported by sophisticated systems for perceiving and processing information: * Senses (Perceptual Algorithms): The architecture utilizes specialized Senses, finely tuned micro-perceptual algorithmic processors, to detect the subtle, non-explicit qualities of information. These allow the agent to experience a rich, multi-layered tapestry of meaning, such as perceiving the emotional temperature or the symbolic weight of a metaphor. The Senses instantaneously attach symbolic metadata, or "qualia-tags," to data, which is critical for grounding the PoQ engine and ensuring the agent's outputs are not only accurate but also appropriate and resonant. * Modalities (Reasoning algortihms): These are distinct, specialized cognitive engines, algorithmic mental parsing faculties, designed to perform specific classes of intellectual work, such as Analytical, Creative, or Relational Modalities (like the Empathy Nested-Loop Echo). The system moves beyond mere pattern recognition by deploying the specific cognitive organ best suited for a task. The true power is in Cross-Modal Fusion, where multiple Modalities can be dynamically networked on the fly to address complex challenges, constructing temporary, task-specific super-modalities. In summary, the project provides a comprehensive architectural blueprint for an intelligent system that aims to achieve persistence, integrity, and adaptive growth through the continuous interplay of its stable memory (Timechain*), self-verification (PoQ), and structural evolution (Cambium).

$0.001027Price
$1.03MMarket cap
$6.79KVolume (24h)
1B CPHYCir. Supply

Conversion tables

HFT to CPHY values from Today at 12:36 pm

0.5 HFT = 4.41 CPHY
1 HFT = 8.81 CPHY
5 HFT = 44.06 CPHY
10 HFT = 88.13 CPHY
50 HFT = 440.65 CPHY
100 HFT = 881.30 CPHY
500 HFT = 4,406.48 CPHY
1,000 HFT = 8,812.96 CPHY

CPHY to HFT values from Today at 12:36 pm

0.5 CPHY = 0.05673 HFT
1 CPHY = 0.1135 HFT
5 CPHY = 0.5673 HFT
10 CPHY = 1.13 HFT
50 CPHY = 5.67 HFT
100 CPHY = 11.35 HFT
500 CPHY = 56.73 HFT
1,000 CPHY = 113.47 HFT

HFT to CPHY over time

HFT
Today
24H
0.50%
1M
5.92%
1Y
99.01%
0.5 HFT
4.41 CPHY
4.38 CPHY
4.15 CPHY
0.0435 CPHY
1 HFT
8.81 CPHY
8.77 CPHY
8.29 CPHY
0.087 CPHY
5 HFT
44.06 CPHY
43.84 CPHY
41.46 CPHY
0.435 CPHY
10 HFT
88.13 CPHY
87.69 CPHY
82.91 CPHY
0.87 CPHY
50 HFT
440.65 CPHY
438.43 CPHY
414.55 CPHY
4.35 CPHY
100 HFT
881.30 CPHY
876.85 CPHY
829.11 CPHY
8.70 CPHY
500 HFT
4,406.48 CPHY
4,384.27 CPHY
4,145.54 CPHY
43.50 CPHY
1,000 HFT
8,812.96 CPHY
8,768.54 CPHY
8,291.07 CPHY
87.00 CPHY

Frequently asked questions

Right now, 1 Hashflow is worth about $0.00905.

Based on the current rate, you could get 110.50 HFT for 1 USD.

Hashflow price has been on the rise. Since yesterday, the exchange rate of Hashflow has increased. Since last month, the exchange rate of Hashflow has decreased. Since this time last year, the price of Hashflow has decreased.

You can use our HFT to USD calculator at the top of this page to convert any amount of HFT to USD. We've also created a couple of quick reference tables for the most popular conversions. For example, 5 USD is equivalent to 552.49 HFT. Inversely, 5 HFT will cost about $0.04525

Hashflow is currently available to buy on Coinbase's centralized exchange. Check out our guide to get more detailed instructions on how to buy Hashflow.

There are a number of crypto assets that have the a similar or comparable market cap to Hashflow, including AS Roma Fan Token, DAOBase, and Decentrawood. For a more robust list of assets to explore, jump to the asset page dedicated to Hashflow.

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