Alex Svinov is the CEO and Co-founder of Insquad, the platform to build remote development teams. He believes that the future of work is in remote teams – and this notion will radically change the world as it will bring opportunity and talent closer to each other. Alex launched Insquad after facing challenges in hiring senior tech talent for his previous startup. He tried staffing services, but they were expensive and did not give a lot of value to him as a startup. So he decided to solve this problem and help the startup community as well as offer great opportunities to the talent in underprivileged countries. Alex is a serial entrepreneur and angel investor -- 10 investments in IT companies all over the world -- Forbes council member and Alchemist mentor. In the past 10 years, he has created several successful startups in industry areas that he had no experience in before -- FinTech, outsourcing, HRTech, and food service. He is passionate about making new tech products and services and helping distributed teams achieve their goals. Alex met with Bill Clinton and Queen Elizabeth in Moscow's high school. Outside of work, he's a father of 3, plays tennis and regularly participates in amateur tournaments. Today I have with me, Alex Svinov. Now, Alex is the CEO and Co-founder of Insquad, which is a platform to build remote development teams and as the world basically circulates around technology these days, it's very very important to get a great development team and remote now as we know with the pandemic has produced change the way we work. He believes that the future work is in remote teams and this notion will radically change the world as well bring opportunity and talent closer to each other. Alex launched Insquad one year ago because he faced challenges hiring senior tech talents for his previous startup. He tried staffing services but they were expensive and did not give a lot of value to him as a startup.

Drawing from the resources of psychoanalysis and critical media studies, in this paper we develop an analysis of Large Language Models (LLMs) as automated subjects. We argue the intentional fictional projection of subjectivity onto LLMs can yield an alternate frame through which AI behaviour, including its productions of bias and harm, can be analysed. First, we introduce language models, discuss their significance and risks, and outline our case for interpreting model design and outputs with support from psychoanalytic concepts. We trace a brief history of language models, culminating with the releases, in 2022, of systems that realise state-of-the-art natural language processing performance. We engage with one such system, OpenAI's InstructGPT, as a case study, detailing the layers of its construction and conducting exploratory and semi-structured interviews with chatbots. These interviews probe the model's moral imperatives to be helpful, truthful and harmless by design. The model acts, we argue, as the condensation of often competing social desires, articulated through the internet and harvested into training data, which must then be regulated and repressed. This foundational structure can however be redirected via prompting, so that the model comes to identify with, and transfer, its commitments to the immediate human subject before it. In turn, these automated productions of language can lead to the human subject projecting agency upon the model, effecting occasionally further forms of countertransference. We conclude that critical media methods and psychoanalytic theory together offer a productive frame for grasping the powerful new capacities of AI-driven language systems.

Chowis Company, a Skin and Hair & Scalp Diagnosis System Company, has been named in the "CES 2023 Innovation Award" for its AI full face diagnosis solution, "MySkin F.A.I.N." The CES Innovation Award is given to products with superior technology and innovation through a pre-evaluation of entries ahead of the CES event, the world's largest IT and home appliances exhibition held in Las Vegas every January. Chowis' mySkin F.A.I.N won in the "Digital Health" category as an AI full-face skin diagnosis solution that analyzes skin using AI algorithm technology. MySkin F.A.I.N. is a small and portable device that can be used via a clip-on mechanism on a mobile phone or tablet and utilizes optimized lighting to analyze a total of 12 skin analysis parameters, providing more accurate optical analysis results. Prior to winning the CES Innovation Awards, Chowis was awarded with Good Design (GD) by the Department of Trade, Industry, and Energy for reducing plastic consumption by 85%, being less than half the size of a smartphone and boasting overwhelming versatility.

It seems it is useful in many ways though it is not fully accurate as of now. You can try it at https://openai.com/blog/chatgpt/ Graphene is a two-dimensional form of carbon that has been studied extensively for its unique properties. It is made up of a single layer of carbon atoms arranged in a hexagonal lattice, and is known for its strength, flexibility, and high electrical and thermal conductivity. Graphene has many potential applications, including in electronics, energy storage, and biotechnology.

December is here, so you know what that means: holiday parties, new year's resolutions, and a slew of technology predictions. We decided to focus on a trend that matters most urgently to IT leaders--concrete artificial intelligence (AI) insights for your team and business. The potential impacts of AI are wide-ranging--as are the related forecasts, on everything from sentient to generative and responsible AI, to collaboration and automation. What will matter to IT leaders in 2023? We talked to AI and IT career experts to ask their opinions.

Job interviews are rarely fun for anyone on either side of the table. For candidates, there's the pressure to perform, to walk the tightrope between doing and saying the right things and being enough of "themselves" to give the recruiter or the team leader a true sense of what they'll bring to the team. And for recruiters and managers, they involve taking time out from their other duties, matching resumes with actual candidates, and getting a sense for who fits which role – if they do at all. Artificial intelligence (AI) has been used in recruitment for some time, usually as a first-stage filter for potentially hundreds of resumes – though it's had a very checkered history, which has included imposing a kind of'digital bigotry' or'digital misogyny.' But both AI and virtual reality could have an increasing role to play in making sure your company gets the staff it needs – in a recruitment process that stands a chance of equalizing the playing field and erasing some ingrained prejudices.

Metric Elicitation (ME) is a framework for eliciting classification metrics that better align with implicit user preferences based on the task and context. The existing ME strategy so far is based on the assumption that users can most easily provide preference feedback over classifier statistics such as confusion matrices. This work examines ME, by providing a first ever implementation of the ME strategy. Specifically, we create a web-based ME interface and conduct a user study that elicits users' preferred metrics in a binary classification setting. We discuss the study findings and present guidelines for future research in this direction.

Artificial intelligence systems powered by large language models today are transforming how people work and create, from generating lines of code for software developers to sketches for graphic designers. Kevin Scott, Microsoft's chief technology officer, expects these AI systems to continue to grow in sophistication and scale--from helping address global challenges such as climate change and childhood education to revolutionizing fields from healthcare and law to materials science and science fiction. Scott recently shared his thoughts with us on the impact of AI for knowledge workers and what's next in AI. In your mind, what were some of the most important advancements in AI this year? When we were heading into 2022, I think just about everybody in AI was anticipating really impressive things to take place over the next twelve or so months.

AI tech, for so long a promising vision of the future but an underwhelming experience in the present, is starting to work. And the world is going to get weird as a result. ChatGPT is the latest AI tool to go viral, sparking worry and wonder in equal measure. The system … is the latest evolution of the GPT family of text-generating AIs. Two years ago, the team's previous AI, GPT-3, was able to generate an opinion piece for the Guardian, and ChatGPT has significant further capabilities.

The coronavirus pandemic has ushered in a new era of workplace surveillance that will extend well beyond our current crisis. Companies are increasingly monitoring employees who work from home, citing worries about security concerns or the need to boost employee productivity. In Amazon warehouses and UPS delivery trucks, surveillance technologies are being built into workplace infrastructure to monitor workers' every move. In many industries, employers can easily access phone calls, texts, browser histories, emails, and even GPS locations with very little effort. These exploitative surveillance practices are rooted in a historical mistrust of workers, especially low-wage workers, that can arguably be traced back to slavery and the exploitative "scientific management" practices that emerged from it, as bosses became obsessed with tracking workers' every move to maximize productivity and profit. Earlier forms of surveillance, like in the 19th century when companies hired Pinkerton private detectives to spy on workers, required a lot of labor. But modern technological advancements mean that the cost of surveillance today is very low.