Disclaimer

Last updated: September 2026

1. General Information & Editorial Purpose

The information provided on EyesTech (https://eyestech.in) is published in good faith for general journalistic, research, educational, and technical evaluation purposes only. While our engineering team and contributing analysts strive to provide rigorous, accurate, and up-to-date analysis, EyesTech makes no representations or warranties of any kind, express or implied, regarding the completeness, accuracy, reliability, or suitability of the information contained on this website.

2. Financial, Investment & Market Analysis Disclaimer

EyesTech regularly publishes investigative teardowns examining datacenter capital expenditures, semiconductor wafer contracts, cloud provider inference unit economics, hardware depreciation curves, and artificial intelligence company market valuations. None of the content published on EyesTech constitutes financial, investment, legal, tax, or professional trading advice.

Statements regarding stock movements, corporate valuations, capital investments, or cloud cost projections reflect editorial synthesis of publicly available telemetry, financial filings, and engineering estimates. Readers must not rely on any material on EyesTech as a basis for making investment or financial decisions. We strongly advise consulting a licensed financial advisor or certified professional prior to executing capital transactions.

3. Technical Benchmarks, Telemetry & Reproducibility

Technical benchmarks, latency figures, token throughput numbers, quantization metrics, and hardware performance tests published on EyesTech reflect specific experimental test harnesses, thermal environments, software driver versions, and model weights active at the time of evaluation. Due to hardware silicon lottery, vendor firmware updates, cloud cluster multi-tenancy noise, and continuous model weight iterations, benchmark outcomes may vary across different testing environments. EyesTech cannot guarantee identical reproducibility under differing runtime parameters.

4. Cybersecurity & Vulnerability Research Notice

Any technical teardowns detailing Common Vulnerabilities and Exposures (CVEs), sandbox bypasses, prompt injection surfaces, or agentic harness security parameters are published strictly for defensive engineering education, system hardening, and academic transparency. EyesTech adheres to responsible disclosure principles and does not endorse, encourage, or facilitate unauthorized access, malicious exploitation, or illegal activity against computer systems.

5. Intellectual Property & Nominative Fair Use

All trademarks, registered trademarks, service marks, brand names, product titles, and company logos appearing on EyesTech (including, but not limited to, Google, OpenAI, Anthropic, NVIDIA, Apple, Microsoft, Amazon Web Services, Meta, TSMC, and DeepSeek) are the property of their respective owners. The use of these trademarks and brand names on EyesTech constitutes nominative fair use for descriptive, editorial, and journalistic identification only and does not imply sponsorship, endorsement, or commercial affiliation.

6. External Links & Third-Party Services

Throughout our website, you may encounter hyperlinks leading to external third-party sites, academic preprint servers (such as arXiv), code repositories (such as GitHub), and official company portals. While we strive to link exclusively to authoritative and safe resources, EyesTech has no operational control over the content, security, or privacy policies of third-party domains. Following external links is at the user’s sole risk.

7. Advertising & Commercial Independence

EyesTech maintains strict editorial independence. Our newsroom and research desks operate independently from commercial advertisers and sponsors. Third-party advertisements served on the website (including via Google AdSense) are clearly demarcated. Editorial evaluations, benchmark teardowns, and hardware reviews are never influenced by commercial sponsors, affiliate relationships, or advertising partners.

8. Limitation of Liability

Under no circumstances shall EyesTech, its editorial directors, contributing analysts, or operating entity (EyesTech Systems Lab) be held liable for any loss, damage, downtime, or liability—whether direct, indirect, consequential, or incidental—arising out of or in connection with the use of, or inability to use, the information, code snippets, benchmarks, or guidance provided on this website.

9. Contacting Our Legal & Editorial Desks

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