algorithms - CybAI news

01 Jun

My Top 5 Favorite Algorithm Problems at Codewars

stp2y0 CommentsNewsalgorithms, codewars, coding, community, development, engineering, inclusive, leetcode, opinion, software

What is codewars? Codewars is a social network of programmers who get together to challenge each other to solve code challenges. Codewars is one of the best websites for practicing algorithms and solving Katas. Katas? Yes, as in Karate. What are katas in codewars? In the spirit of martial arts, more specifically Karate, these code problems are called katas. The katas are divided, ascendingly, according to their difficulty. There are katas from 8th kyu to 1st kyu, with 1st kyu being the most difficult type of kata of all. There are katas on many, many topics: algorithm development, efficiency, regex,…

31 May

Google’s AI Overviews Will Always Be Broken. That’s How AI Works

stp2y0 CommentsGenAIalgorithms, artificial intelligence, deep learning, google, machine learning, search, search engines

A week after its algorithms advised people to eat rocks and put glue on pizza, Google admitted Thursday that it needed to make adjustments to its bold new generative AI search feature. The episode highlights the risks of Google’s aggressive drive to commercialize generative AI—and also the treacherous and fundamental limitations of that technology.Google’s AI Overviews feature draws on Gemini, a large language model like the one behind OpenAI’s ChatGPT, to generate written answers to some search queries by summarizing information found online. The current AI boom is built around LLMs’ impressive fluency with text, but the software can also…

31 May

Google Admits Its AI Overviews Search Feature Screwed Up

stp2y0 CommentsRAG modelsalgorithms, artificial intelligence, google, machine learning, search, search engines

When bizarre and misleading answers to search queries generated by Google’s new AI Overview feature went viral on social media last week, the company issued statements that generally downplayed the notion the technology had problems. Late Thursday, the company’s head of search Liz Reid admitted the flubs had highlighted areas that needed improvement, writing that “we wanted to explain what happened and the steps we’ve taken.”Reid’s post directly referenced two of the most viral, and wildly incorrect, AI Overview results. One saw Google's algorithms endorse eating rocks because doing so “can be good for you,” and the other suggested using…

25 May

The US Is Forming a Global AI Safety Network With Key Allies

stp2y0 CommentsRAG modelsalgorithms, artificial intelligence, china, machine learning, regulation

The US is widely seen as the global leader in artificial intelligence, thanks to companies like OpenAI, Google, and Meta. But the US government says it needs help from other nations to manage the risks posed by AI technology.At an international summit on AI Safety in Seoul on Tuesday, the US delivered a message from Secretary of Commerce Gina Raimondo announcing that a global network of AI safety institutes spanning the US, UK, Japan, Canada, and other allies will collaborate to contain the technology’s risks. She also urged other countries to join up.“Recent advances in AI carry exciting, life-changing potential…

23 May

Most US TikTok Creators Don’t Think a Ban Will Happen

stp2y0 CommentsRAG modelsadvertising, algorithms, china, instagram, meta, privacy, social media, tiktok

A majority of US TikTok creators don’t believe the platform will be banned within a year, and most haven’t seen brands they work for shift their marketing budgets away from the app, according to a new survey of people who earn money from posting content on TikTok shared exclusively with WIRED.The findings suggest that TikTok’s influencer economy largely isn’t experiencing existential dread after Congress passed a law last month that put the future of the app’s US operations in jeopardy. The bill demands that TikTok separate from its Chinese parent company within a year or face a nationwide ban; TikTok…

23 May

AI Is a Black Box. Anthropic Figured Out a Way to Look Inside

stp2y0 CommentsAIalgorithms, artificial intelligence, deep learning, neural networks, research

Last year, the team began experimenting with a tiny model that uses only a single layer of neurons. (Sophisticated LLMs have dozens of layers.) The hope was that in the simplest possible setting they could discover patterns that designate features. They ran countless experiments with no success. “We tried a whole bunch of stuff, and nothing was working. It looked like a bunch of random garbage,” says Tom Henighan, a member of Anthropic’s technical staff. Then a run dubbed “Johnny”—each experiment was assigned a random name—began associating neural patterns with concepts that appeared in its outputs.“Chris looked at it, and…