Simon Hugo on Muck Rack

Simon Hugo

London
As seen in: Medium, JD Supra, Lexology, TREKNEWS.NET, Forces of Geek, LexBlog, Sci-Fi Bulletin
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Articles

UK Supreme Court judgment in Hopcraft, Johnson & Wrench - immediate implications for motor-finance lenders and next steps following FCA’s statement

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By Tom Webley, Claude Brown, Robert Falkner, Kathleen Garrett, Romin Dabir, Eleanor Chapman, Simon Hugo, Sarah Caldwell, Laura Neuhaus, Geraint Biggs, Ciara Elson
| Lexology Verified
• UKSC rows back significantly on the Court of Appeal’s decision on commissions for motor finance • Lenders are generally not liable for bribery or dishonest assistance, but one claimant succeeded under section 140A of the Consumer Credit Act 1974 (unfair relationship) • The FCA is to consult on an industry-wide scheme this October In the conjoined appeals of , and ([2025] UKSC 33), the UK Supreme Court (UKSC) examined three claims by claimants who purchased cars using motor finance against...
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Unraveling the Threat: DDoS Attacks on Large Language Model Applications

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By Simon Hugo
| Medium
A DDoS (Distributed Denial of Service) attack overwhelms a target system or network with a flood of malicious traffic, rendering it inaccessible to legitimate users by exhausting its resources or bandwidth. In this article, we will explore a critical scenario involving LLM (Language Model) applications and servers as primary targets of DDoS attacks. These applications demand significant computational resources, making them particularly susceptible to the devastating impacts of such assaults.
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Improve your brute force attacks with ChatGPT

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By Simon Hugo
| Medium
This article is for educational purpose only The emergence of generative AI and Large Language Model (LLM) represents a groundbreaking advancement in the field of artificial intelligence, revolutionizing the way machines interact with and understand human-generated content. Generative AI systems, such as OpenAI’s GPT (Generative Pre-trained Transformer) models, have the ability to autonomously generate coherent and contextually relevant text, mimicking human-like language patterns.
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