Latest Cortex (CTXC) News Update

Deep Dive

1. @CTXCBlockchain: Verifiable AI Roadmap Update Bullish

"✅ Unified TVM & PyTorch frontends ➡️ Full LLM support in 2026"
– Cortex Labs (53.1K followers · 12.8K impressions · 2025-11-21 13:56 UTC)
View original post
What this means: This is bullish for CTXC because advancements in zero-knowledge machine learning (ZKML) position Cortex as a player in verifiable AI – a sector projected to grow 89% annually through 2030 (Gartner).

2. @bl_ockchain: CHEW Memecoin Hype Mixed

"Cortex Vortex memecoin CHEW hits $1.6M vol day one – MindFak 11.6M MC comps"
– BlockchainBaller (31.1K followers · 8.4K impressions · 2025-09-03 14:36 UTC)
View original post
What this means: This is mixed for CTXC because while memecoin spin-offs may temporarily boost network activity, they risk diluting Cortex’s AI-focused brand identity long-term.

3. @Kross_Roads: Robinhood Tool Integration Neutral

"Vibe code custom indicators on Robinhood in 60s – Cortex keeps improving!"
– Crossroads (29.7K followers · 15.2K impressions · 2025-09-10 01:18 UTC)
View original post
What this means: This is neutral because while the Robinhood integration expands retail access, CTXC’s 30-day price remains down 58% (CMC Data), suggesting limited immediate impact.

4. MEXC News: Bithumb Delisting Bearish

"Bithumb cites 'lack of transparency' in CTXC project, delisting effective Dec 29"
– Published 2025-11-28 08:37 UTC
What this means: This is bearish because Bithumb handled $4.8B in spot volume last month – losing this liquidity hub could exacerbate CTXC’s 71% 60-day decline.

Conclusion

The consensus on Cortex is mixed, torn between technical progress in AI infrastructure and severe exchange credibility challenges. While the team’s ZKML developments suggest long-term potential, immediate risks dominate with CTXC facing delisting from its 5th major exchange this year. Watch the CTXC/BTC pair post-Dec 29 delisting – a hold above 0.0000015 SAT could signal bottom formation, while breakdown may trigger new lows.

Deep Dive

1. Bithumb Delisting (29 November 2025)

Overview:
Bithumb will delist CTXC on 29 December 2025 after a review found deficiencies in transparency, business sustainability, and development progress. The exchange urged users to withdraw tokens by the deadline.

What this means:
This is bearish for CTXC as delistings often reduce liquidity and investor confidence. However, the token remains tradable on other exchanges like OKX and MEXC. Market perception may suffer, especially if other platforms follow Bithumb’s lead (MEXC News).

2. Investment Warning (7 November 2025)

Overview:
Bithumb issued a critical warning about CTXC’s lack of disclosures and unresolved compliance issues, foreshadowing the delisting.

What this means:
The warning highlights regulatory risks and operational red flags. While not an immediate delisting, it signaled deteriorating trust between Cortex and exchanges, contributing to CTXC’s 56% monthly price drop (CoinMarketCap).

3. Verifiable AI Milestones (21 November 2025)

Overview:
Cortex Labs shared progress on its AI infrastructure, including unified PyTorch/TVM frameworks and a deterministic runtime for verifiable inference. Plans for LLM support and GPU upgrades were outlined.

What this means:
This is neutral-to-bullish, demonstrating technical execution in AI/blockchain integration. However, market focus remains on exchange risks rather than developmental strides. Sustained progress could rebuild credibility long-term (Cortex Labs).

Conclusion

Cortex balances technical advancements against mounting exchange scrutiny. While its AI roadmap shows promise, Bithumb’s delisting underscores operational vulnerabilities. Will other exchanges reassess CTXC’s compliance, or can development wins stabilize its position? Monitor liquidity metrics and exchange announcements closely.

Deep Dive

1. Large Language Model Support (Q1 2026)

Overview: Cortex plans to expand its Model Representation Toolkit (MRT) to support transformers and llama.cpp, enabling developers to deploy verifiable large language models (LLMs) on-chain (Cortex Labs). This aligns with AI’s shift toward LLMs and aims to attract developers needing auditability for generative AI applications.

What this means: This is bullish for CTXC as it positions Cortex as a rare blockchain platform for transparent LLM inference. However, adoption depends on seamless integration with popular AI frameworks and resolving computational costs for on-chain operations.

2. MRT Architecture Refactor (Q1–Q2 2026)

Overview: A comprehensive redesign of MRT’s lower architecture will focus on standardization and scalability, targeting enterprise-level AI model deployment. The update includes enhanced Symbol/Function/Graph constructs for complex model representations.

What this means: This could improve developer adoption by simplifying AI DApp creation. Risks include potential delays in backward compatibility, which might fragment existing projects if not managed carefully.

3. Hardware Runtime Upgrades (Q3–Q4 2026)

Overview: Cortex will upgrade its CVMRuntime library to leverage NVIDIA’s latest CUDA architectures and next-gen CPU/GPU hardware, aiming for 2–5× faster inference speeds (CTXCBlockchain).

What this means: Performance gains could make Cortex competitive with centralized AI services. However, reliance on hardware partnerships and timely SDK updates creates execution risk.

Conclusion

Cortex’s roadmap focuses on bridging AI and Web3 through verifiable LLMs, scalable infrastructure, and hardware optimizations. While technically ambitious, recent exchange delistings (e.g., Bithumb) highlight operational risks and the need for clearer communication. Will Cortex’s 2026 technical leaps outweigh its growing credibility challenges in traditional crypto markets?

Deep Dive

1. Verifiable Inference Runtime (21 Nov 2025)

Overview: Enables blockchain-based AI models to produce cryptographically verifiable outputs, addressing trust issues in decentralized AI.

The update merges TVM (Tensor Virtual Machine) and PyTorch frontends into Cortex’s Model Representation Tool (MRT), allowing developers to deploy models from either framework. Integration with EZKL and Taiko’s zk-SNARK systems lets nodes validate AI inferences without re-executing entire models.

What this means: This is bullish for CTXC because it positions Cortex as a pioneer in auditable AI – critical for DeFi prediction markets or NFT generative art where output legitimacy matters. (Source)

2. MRT Architecture Overhaul (2026 Roadmap)

Overview: A ground-up redesign of Cortex’s core model compiler to enhance efficiency.

The refactor aims to decouple MRT from legacy NNVM/TVM dependencies, reducing technical debt. Early testing shows 40% faster model compilation times and better support for Large Language Models (LLMs).

What this means: This is neutral for CTXC – while it improves long-term scalability, the 2026 timeline delays tangible benefits. Developers may face migration challenges during the transition. (Source)

3. Hardware Acceleration Upgrades (2026 Roadmap)

Overview: Runtime optimizations for newer CPU/GPU architectures to boost inference speeds.

The upgrade targets NVIDIA’s Hopper GPUs and AMD’s MI300X accelerators, with early benchmarks showing 2.1x faster MNIST digit recognition tasks. OpenCL support expansion allows FPGA mining devices to participate in AI inference.

What this means: This is cautiously bullish for CTXC because faster, cheaper inferences could attract more dApp builders – but depends on hardware adoption rates in crypto mining pools.

Conclusion

Cortex is betting heavily on ZK-proofs and hardware synergies to carve a niche in AI-blockchain hybrids. While the technical roadmap is ambitious, exchange delistings (Bithumb, OKX) and a 77% price drop YTD highlight adoption risks. Will verifiable AI overcome market skepticism about CTXC’s utility?