Latest Cortex (CTXC) News Update

Deep Dive

1. @BithumbOfficial: Delisting over transparency failures bearish

"Bithumb will remove CTXC trading pairs at 6:00 AM UTC Dec 29 due to inadequate disclosures on business model sustainability"
– MEXC News (28 Nov 2025 · 8:37 AM UTC)
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What this means: Bearish for CTXC as exchange exits signal eroding institutional trust, potentially triggering liquidity crunches.

2. @Cryptoprime00: Binance trade targets hit bullish

"CTXC/USDT Take-Profit target 3 ✅ Profit: 14.65% in 3h08m"
– @Cryptoprime00 (2,388 followers · 27 Dec 2025 4:09 AM UTC)
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What this means: Short-term bullish for traders, though hyperactive signal accounts (514k+ posts) suggest caution about sustainability.

3. @OKX: Multi-exchange delisting cascade bearish

"OKX delisted CTXC in June 2025 after flagging compliance gaps, triggering 11.8% intraday drop"
– OKX Learn (29 Nov 2025 · 10:30 AM UTC)
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What this means: Bearish structural risk as exchanges increasingly prune low-viability tokens, amplifying sell pressure.

Conclusion

The consensus on CTXC is bearish, dominated by exchange exits and transparency concerns, though day traders exploit volatility. Monitor CTXC withdrawals from Bithumb wallets today – a spike could signal panic, while muted outflows might suggest holders are trapped.

Deep Dive

1. Delisting Deadline (29 December 2025)

Overview:
Bithumb, a top South Korean exchange, will delist CTXC at 6:00 AM UTC today, citing failures in project transparency, business sustainability, and development progress. Holders must withdraw tokens immediately to avoid losing access.

What this means:
This is bearish for CTXC because delistings from major platforms typically reduce liquidity, amplify selling pressure, and damage investor confidence. While CTXC remains on other exchanges, Bithumb’s exit signals waning institutional trust. (MEXC News)

2. Pre-Delisting Warning (29 November 2025)

Overview:
Bithumb issued a critical investment warning for CTXC a month prior, highlighting unresolved concerns about disclosures and regulatory compliance. The exchange noted the project’s failure to address red flags during routine evaluations.

What this means:
The warning foreshadowed today’s delisting, reflecting heightened scrutiny on projects to meet evolving exchange standards. Investors were urged to diversify holdings, underscoring risks tied to CTXC’s operational opacity. (OKX)

3. Earlier Delistings (June/April 2025)

Overview:
OKX and ONUS delisted CTXC earlier this year, citing low liquidity and failure to meet updated listing criteria. OKX’s June 2025 removal triggered a 11.8% intraday price drop.

What this means:
These precedents highlight a pattern of declining exchange support, likely driven by CTXC’s shrinking trading volumes (-86.92% over 60 days) and lack of proactive engagement with platform requirements.

Conclusion

Cortex’s repeated delistings reflect systemic issues in transparency and compliance, exacerbating its 90-day price decline of -89.85%. With exchanges increasingly prioritizing project accountability, will CTXC address these gaps to retain remaining listings, or face further erosion of its market foothold?

Deep Dive

1. ZkProver GPU Optimization (2025)

Overview: Cortex upgraded its zero-knowledge proof system to leverage GPU acceleration, addressing critical performance bottlenecks.

The team solved persistent memory leaks in ZkProver and expanded compatibility to Nvidia’s 10/20/30 series GPUs. This enables cheaper verification of on-chain AI inferences while supporting consumer-grade hardware. Mobile optimizations were added to ZkMatrix’s interface, broadening device compatibility.

What this means: This is bullish for CTXC because faster, more accessible ZK proofs could lower operational costs for AI dApps. However, the 90%+ price decline since April 2025 suggests market skepticism about execution timelines.
(Source)

2. Verifiable AI Foundation (Nov 2025)

Overview: Cortex completed foundational work for auditable AI models through technical partnerships.

The team merged PyTorch and TVM model support in MRT (Model Representation Tool) and collaborated with EZKL/Taiko on ZKML implementations. A deterministic runtime environment was created to enable reproducible AI inferences – crucial for dispute resolution in decentralized applications.

What this means: This is neutral-to-bullish as it positions CTXC for verifiable AI use cases, but the lack of mainnet implementation details (as of Dec 2025) leaves adoption timelines unclear. The 259% surge in 24h trading volume suggests speculative interest in these developments.
(Source)

3. Full Node v1.10.34 (2025)

Overview: The latest node version improved network resilience and storage capabilities.

Updates include a redesigned P2P protocol, NAS4 distributed storage integration, and dependency library modernization. These changes aim to reduce sync times and improve data availability for AI model hosting.

What this means: This is bullish for network operators as it simplifies node maintenance, though the -90% YTD price action indicates developers haven’t translated these upgrades into visible ecosystem growth yet.

Conclusion

Cortex maintains technical focus on AI/blockchain interoperability despite exchange delistings and severe price erosion. The ZK-proof enhancements and deterministic AI runtime could differentiate its infrastructure if adoption materializes. How will the team demonstrate real-world use cases to counterbalance the 97.85% annual price decline?

Deep Dive

1. Full LLM Support (2026)

Overview: Cortex plans to enable full support for Large Language Models (LLMs) on its blockchain by 2026, allowing developers to deploy advanced AI models like GPT-4 or Llama directly into smart contracts. This builds on their existing deterministic runtime for verifiable inference (Cortex Labs).

What this means: Bullish for CTXC’s utility, as LLM integration could attract AI-focused dApps. However, computational costs and competition from centralized AI platforms pose risks.

2. MRT Lower Architecture Refactor (2026)

Overview: The Model Representation Tool (MRT), used to convert AI models into blockchain-compatible formats, will undergo a low-level architecture overhaul in 2026. This aims to reduce latency and improve quantization accuracy for models like PyTorch and ONNX.

What this means: Neutral-to-bullish. While efficiency gains could boost developer adoption, delays in refactoring might slow ecosystem growth.

3. ZkML Research (Ongoing)

Overview: Cortex is deepening collaborations with ZK-proof projects like EZKL and Taiko to implement verifiable AI inference via zero-knowledge machine learning (ZkML). Recent progress includes GPU-optimized ZkProvers and memory leak fixes.

What this means: Bullish long-term, as ZkML could position CTXC as a leader in trustless AI. Short-term bearish risks include technical complexity and reliance on partner ecosystems.

Conclusion

Cortex’s 2026 roadmap emphasizes bridging AI and blockchain through LLMs, infrastructure upgrades, and ZkML – critical for its niche in decentralized AI. However, recent exchange delistings (e.g., Bithumb on 29 Dec 2025) highlight operational risks. Will verifiable AI adoption outpace regulatory and technical hurdles?