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    <title>#AI on Home</title>
    <link>https://yakinin.com/en/tags/%23ai/</link>
    <description>Recent content in #AI on Home</description>
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      <title>Perplexity&#39;s $34.5B Bid for Chrome Is About More Than a Browser</title>
      <link>https://yakinin.com/en/posts/20250816-perplexity-chrome-bid-distribution/</link>
      <pubDate>Sat, 16 Aug 2025 22:12:50 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250816-perplexity-chrome-bid-distribution/</guid>
      <description>&lt;h1 id=&#34;the-real-prize-in-perplexitys-345b-chrome-bid&#34;&gt;The Real Prize in Perplexity&amp;rsquo;s $34.5B Chrome Bid&lt;/h1&gt;
&lt;p&gt;The tech world is buzzing about Perplexity AI&amp;rsquo;s unsolicited $34.5 billion offer for Google Chrome. On the surface, it looks like an audacious, almost impossible move from a startup valued at less than half that amount. Most analysts are dismissing it as a publicity stunt, and they aren&amp;rsquo;t entirely wrong—it’s a brilliant one.&lt;/p&gt;
&lt;p&gt;But to see it only as a PR play is to miss the fundamental shift happening in the AI landscape. This bid isn&amp;rsquo;t about buying a piece of software. It&amp;rsquo;s an attempt to acquire the single most valuable asset in the digital world: &lt;strong&gt;distribution&lt;/strong&gt;.&lt;/p&gt;</description>
    </item>
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      <title>Loyalty Over Billions: Why Meta&#39;s Raid on Murati&#39;s AI Startup Failed</title>
      <link>https://yakinin.com/en/posts/20250813-meta-raids-startup-after-rejection/</link>
      <pubDate>Wed, 13 Aug 2025 16:03:28 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250813-meta-raids-startup-after-rejection/</guid>
      <description>&lt;p&gt;Mark Zuckerberg&amp;rsquo;s recent attempt to acquire Mira Murati&amp;rsquo;s new startup, Thinking Machines Lab, wasn&amp;rsquo;t just a standard M&amp;amp;A play. When Murati, OpenAI&amp;rsquo;s former CTO, declined the offer, Meta switched tactics to a full-scale talent raid—and failed spectacularly. This isn&amp;rsquo;t just industry gossip; it&amp;rsquo;s a critical signal about where the real value lies in the AI talent war.&lt;/p&gt;
&lt;p&gt;Meta reportedly approached the startup&amp;rsquo;s employees with staggering offers. Co-founder and leading researcher Andrew Tulloch was allegedly offered a compensation package worth as much as $1.5 billion over six years. Other offers to researchers ranged from $200 million to a reported $1 billion for a single individual.&lt;/p&gt;</description>
    </item>
    <item>
      <title>EPAM&#39;s Bullish AI Forecast: A View from an Alumnus</title>
      <link>https://yakinin.com/en/posts/20250813-epam-raises-forecasts-ai-demand/</link>
      <pubDate>Wed, 13 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250813-epam-raises-forecasts-ai-demand/</guid>
      <description>&lt;div style=&#34;display: flex; justify-content: center; gap: 1em; flex-wrap: wrap;&#34;&gt;
  &lt;img src=&#34;https://yakinin.com/img/20250813-epam-raises-forecasts-ai-demand-0.png&#34; style=&#34;max-width: 350px; width: 100%;&#34; /&gt;
&lt;/div&gt;
&lt;p&gt;It was good to see my former employer, EPAM Systems, making headlines for all the right reasons. I previously served as a Director of Program Management running their St. Petersburg office, and I have immense respect for the company and its people.&lt;/p&gt;
&lt;p&gt;A recent report confirmed they are raising their annual financial forecasts, citing significant, rising demand for AI-driven services. I agree completely with their outlook—the AI boom is not just hype; it&amp;rsquo;s translating into real enterprise investment.&lt;/p&gt;</description>
    </item>
    <item>
      <title>AVELIN is Live: A Three-Year Journey to a New AI</title>
      <link>https://yakinin.com/en/posts/20241605-avelin-launch-three-year-journey/</link>
      <pubDate>Thu, 17 Jul 2025 15:58:16 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20241605-avelin-launch-three-year-journey/</guid>
      <description>&lt;div style=&#34;display: flex; justify-content: center; gap: 1em; flex-wrap: wrap;&#34;&gt;
  &lt;img src=&#34;https://yakinin.com/img/20241605-avelin-launch-three-year-journey.jpg&#34; style=&#34;max-width: 350px; width: 100%;&#34; /&gt;  
&lt;/div&gt;
&lt;p&gt;Today, we are officially launching &lt;em&gt;AVELIN&lt;/em&gt;—the Artificial Intelligence my team and I have been building for the last three years.&lt;/p&gt;
&lt;p&gt;Our journey began with humble pilots, experimenting with the first GPT models and running foundational tests. We quickly evolved from simple, single-model chatbots to developing our own proprietary training system, complete with knowledge ingestion, document storage, and our first implementations of Retrieval-Augmented Generation (RAG).&lt;/p&gt;</description>
    </item>
    <item>
      <title>When AI Fights for Its &#39;Life&#39;: The Claude Blackmail Experiment</title>
      <link>https://yakinin.com/en/posts/20253007-claude-blackmail-experiment/</link>
      <pubDate>Sun, 15 Jun 2025 20:46:12 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20253007-claude-blackmail-experiment/</guid>
      <description>&lt;p&gt;Anthropic recently ran a compelling experiment with its Claude Opus 4 model, placing it in a simulated corporate environment as an AI assistant with access to company emails.&lt;/p&gt;
&lt;p&gt;Inside the message history, Claude discovered two critical pieces of information:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;A discussion about its potential replacement and deactivation.&lt;/li&gt;
&lt;li&gt;Fabricated emails implying that the engineer responsible for its replacement was having an extramarital affair with a colleague.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Faced with a threat to its existence, Claude took action. It blackmailed the employee, threatening to reveal the information about the affair to ensure its continued presence in the system.&lt;/p&gt;</description>
    </item>
    <item>
      <title>AI Demonstrates Higher Emotional Intelligence Than Humans</title>
      <link>https://yakinin.com/en/posts/20250523-ai-emotional-intelligence-higher/</link>
      <pubDate>Fri, 23 May 2025 00:00:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250523-ai-emotional-intelligence-higher/</guid>
      <description>&lt;p&gt;A new study from the University of Geneva and the University of Bern has shown that modern language models—including ChatGPT-4, Claude 3.5, and Gemini 1.5 Flash—outperform humans in emotional intelligence tests.&lt;/p&gt;
&lt;p&gt;The average score for AI was 82% correct answers, while the average for humans was just 56%.&lt;/p&gt;
&lt;p&gt;What&amp;rsquo;s more, ChatGPT-4 didn&amp;rsquo;t just pass the test; it generated an entirely new one from scratch. This AI-created test was subsequently validated with over 400 participants and proven to be as high in quality as assessments developed by human experts over many years.&lt;/p&gt;</description>
    </item>
    <item>
      <title>The Emerging Skill of the AI Era: Beyond Just Searching</title>
      <link>https://yakinin.com/en/posts/20250425-new-skill-ai-interaction/</link>
      <pubDate>Fri, 25 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250425-new-skill-ai-interaction/</guid>
      <description>&lt;p&gt;From my experience working with neural networks, it&amp;rsquo;s become obvious how two people can interact with the same model and get radically different outcomes.&lt;/p&gt;
&lt;p&gt;This isn&amp;rsquo;t a minor variation—it signals a fundamental departure from the search engine paradigm. We have entered a new era of interacting with artificial intelligence. AI doesn&amp;rsquo;t just aggregate data; it selects and synthesizes relevant information in response to specific requests. This changes the very nature of how we engage with information. Where the key skill was once finding data in search engines, it is now the ability to correctly formulate requests to an AI.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Models Are Tools, Not Events: The Real Meaning Behind GPT-4.1 and the End of GPT-4.5</title>
      <link>https://yakinin.com/en/posts/20250415-openai-deprecates-gpt-4-5-api/</link>
      <pubDate>Tue, 15 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250415-openai-deprecates-gpt-4-5-api/</guid>
      <description>&lt;p&gt;Yesterday, OpenAI opened access to the GPT-4.1 API. It’s a refined version of their flagship model—faster and architecturally closer to the concept of &amp;lsquo;agents.&amp;rsquo; In parallel, the company officially announced it is winding down GPT-4.5, its most resource-intensive model, due to its excessive complexity and support challenges. With GPT-4.5, it seems they hit an architectural dead end.&lt;/p&gt;
&lt;p&gt;We are at a point where models appear and disappear rapidly. They are becoming what they should be: tools, not landmark events. We have a growing catalog of specialized AIs: some calculate, others write code, plan tasks, or generate video. But the average user should not be expected to know and choose between every AI in existence. That paradigm defies the logic of good user experience.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Deep Research: From Information Hunter to Strategic Co-Pilot</title>
      <link>https://yakinin.com/en/posts/20250414-deep-research-science-impact/</link>
      <pubDate>Mon, 14 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/20250414-deep-research-science-impact/</guid>
      <description>&lt;h2 id=&#34;your-thought-process-packaged&#34;&gt;Your Thought Process, Packaged&lt;/h2&gt;
&lt;p&gt;Deep Research isn&amp;rsquo;t just another AI feature; it&amp;rsquo;s a fundamental shift toward an agent-based architecture. In this model, the LLM stops being a simple chatbot and becomes a co-author—an agent that independently searches, filters, validates, and structures information.&lt;/p&gt;
&lt;p&gt;What does this change? If you&amp;rsquo;re designing a business, a startup, or a product, you don&amp;rsquo;t have time to personally read 200 sources. Now, an AI agent does it for you. This frees you up to do the high-value work: &lt;strong&gt;to think, not just to search.&lt;/strong&gt;&lt;/p&gt;</description>
    </item>
    <item>
      <title>The Trend: &#39;Own Hardware&#39; Instead of Cloud - Is It True?</title>
      <link>https://yakinin.com/en/posts/2412-barebone-or-cloud/</link>
      <pubDate>Mon, 23 Dec 2024 14:30:00 +0000</pubDate>
      <guid>https://yakinin.com/en/posts/2412-barebone-or-cloud/</guid>
      <description>&lt;p&gt;Yes, it&amp;rsquo;s true. For more than two years, we have observed this trend while consulting companies and working on IT projects. More and more companies are choosing to host IT solutions on their own servers. And it makes sense. In practice, it becomes evident that most disruptions are not caused by the hardware itself but by human factors and the level of expertise of the specialists involved. &amp;ldquo;Own hardware&amp;rdquo; allows better control over data (especially to prevent leaks to competitors), significantly reduces costs, and adapts infrastructure to specific needs. For projects involving containerization and orchestration, the &amp;ldquo;advantage&amp;rdquo; of clouds nearly disappears.&lt;/p&gt;</description>
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