Sun.Jul 12, 2020

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Revealed: Dominic Cummings firm paid Vote Leave's AI firm £260,000

The Guardian Data Protection

Boris Johnson’s chief adviser declines to explain reason for payments to Faculty A private company owned and controlled by Dominic Cummings paid more than a quarter of a million pounds to the artificial intelligence firm that worked on the Vote Leave campaign. The prime minister’s chief adviser is declining to explain the reason for the payments to Faculty, which were made in instalments over two years.

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How Two-Factor Authentication Keeps Your Accounts Safe

WIRED Threat Level

Here are some of the best authenticator apps and options. It may take a moment to set up, but once you have 2FA enabled where it counts, you can rest easier.

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Google updates policies to ban any ads for surveillance solutions and services

Security Affairs

Google announced that starting from August it will update its policies to reject ads proposed by organizations offering surveillance software. Google announced the update of its Google Ads Enabling Dishonest Behavior policy to “prohibit the promotion of products or services that are marketed or targeted with the express purpose of tracking or monitoring another person or their activities without their authorization.

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Security Affairs newsletter Round 272

Security Affairs

A new round of the weekly SecurityAffairs newsletter arrived! Every week the best security articles from Security Affairs free for you in your email box. CISA warns organizations of cyberattacks from the Tor network Cisco Talos discloses technicals details of Chrome, Firefox flaws Huawei faces 5G ban from Britishs 5G network within months Former Yahoo!

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.