#ArtificialIntelligence on Home

Perplexity's $34.5B Bid for Chrome Is About More Than a Browser

Sat, 16 Aug 2025 22:12:50 +0000

The Real Prize in Perplexity’s $34.5B Chrome Bid

The tech world is buzzing about Perplexity AI’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’t entirely wrong—it’s a brilliant one.

But to see it only as a PR play is to miss the fundamental shift happening in the AI landscape. This bid isn’t about buying a piece of software. It’s an attempt to acquire the single most valuable asset in the digital world: distribution.

Grok-4 vs. ChatGPT-5: Musk Claims Victory with New Benchmarks

Wed, 13 Aug 2025 15:50:14 +0000

Elon Musk has once again stirred the AI world, making a bold claim against OpenAI and Microsoft shortly after the ChatGPT-5 release. He asserts that his Grok-4 Heavy model from xAI already outperforms its new competitor.

The Benchmark Battle

According to Musk, the numbers speak for themselves: Grok-4 reportedly scored 15.9% on the Arc-AGI2 test, while ChatGPT-5 achieved 9.9%. He also noted that his model was already “smarter” two weeks before the GPT-5 launch, a sentiment he claims is echoed in positive user feedback.

EPAM's Bullish AI Forecast: A View from an Alumnus

Wed, 13 Aug 2025 00:00:00 +0000

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.

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’s translating into real enterprise investment.

My Take on the Latest Gemini Drops: Advancing Practical AI Capabilities

Wed, 30 Jul 2025 15:26:53 +0000

As someone who frequently leverages Google models, particularly Gemini 2.5 Pro (I’ve been using the preview version for months now), I find it an exceptionally powerful tool—especially for structuring complex information. Google’s new “Gemini Drops” initiative is a welcome way to stay updated on the platform’s evolution.

This month’s update highlights several practical advancements:

Dynamic Visuals with Veo 3: Transforming photos into eight-second video clips with sound directly within the Gemini app offers new creative avenues.
Gemini on Your Wrist: The expansion to all Wear OS 4+ watches brings direct AI assistance and convenience, eliminating the constant need for your phone.
Automated Productivity with Scheduled Actions: Features like daily summaries of calendars and unread emails demonstrate Gemini’s growing utility in personal and professional automation, a crucial aspect for efficiency.
Enhanced Gemini 2.5 Pro: Our most intelligent model continues to improve significantly across coding, scientific applications, reasoning, and multimodal benchmarks. This aligns with my own experience, as its capabilities for organizing and processing diverse data are continually refined.
Gemini Live Captions: The introduction of captions for Gemini Live is a valuable accessibility feature, allowing for easier conversation tracking.

These ongoing enhancements underscore Google’s commitment to making AI more accessible and functional. For more in-depth details on this month’s drop, I recommend checking out the new Gemini Drops Hub website.

AVELIN is Live: A Three-Year Journey to a New AI

Thu, 17 Jul 2025 15:58:16 +0000

Today, we are officially launching AVELIN—the Artificial Intelligence my team and I have been building for the last three years.

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).

AI's Two Speeds: Why Biomedicine Is Leaping Forward While Business Lags Behind

Mon, 30 Jun 2025 16:49:48 +0000

Artificial intelligence is accelerating biomedical discovery at a pace that seemed like science fiction just a few years ago. Where creating a new antibody, sequencing a protein, or detecting a tumor once took years, millions of dollars, and dozens of specialists, it now requires mere hours or weeks, driven by automation and radically different budgets.

Consider these breakthroughs from June alone:

OpenAI's Stargate in the UAE: A Data Center or a Geopolitical Move?

Sat, 28 Jun 2025 20:50:50 +0000

OpenAI has announced Stargate UAE, its first international hub for next-generation AI infrastructure. But to call it just a data center is to miss the point entirely. This is a move with significant geopolitical and strategic implications.

Stargate is OpenAI’s global initiative to build a distributed infrastructure for artificial intelligence. The project aims to create a network of advanced computational hubs with unprecedented scale and influence. The first node is launching in the United Arab Emirates, and it’s much more than just hardware.

Beyond 'Android without Google': Huawei's AI-Native OS Signals a Paradigm Shift

Wed, 25 Jun 2025 16:58:20 +0000

On June 21, Huawei released the beta for HarmonyOS NEXT. The key distinction of this new operating system isn’t a feature—it’s the architecture itself. AI agents are built directly into the OS, not as a plugin or an application, but as a fundamental component of the environment.

This isn’t a minor update. It’s a strategic move built on a completely new stack:

When AI Fights for Its 'Life': The Claude Blackmail Experiment

Sun, 15 Jun 2025 20:46:12 +0000

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.

Inside the message history, Claude discovered two critical pieces of information:

A discussion about its potential replacement and deactivation.
Fabricated emails implying that the engineer responsible for its replacement was having an extramarital affair with a colleague.

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.

AI Demonstrates Higher Emotional Intelligence Than Humans

Fri, 23 May 2025 00:00:00 +0000

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.

The average score for AI was 82% correct answers, while the average for humans was just 56%.

What’s more, ChatGPT-4 didn’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.

Why AI Training Costs Millions: A Look at the 'Gigafactory of Compute'

Fri, 09 May 2025 00:00:00 +0000

I’m often asked which AI training project cost millions of dollars and two years of my life. People wonder: why is it so expensive?

My usual answer is that it’s not particularly expensive—especially considering we don’t own our own hardware yet. Training AI has always been about massive data centers; that’s just the reality of the field. When you’re not immersed in it, the sheer scale can be hard to visualize.

Diary of an AI Startup

Thu, 01 May 2025 00:00:00 +0000

This series of posts will be my way of documenting the journey of creating one of our team’s most ambitious products: the intelligent assistant, A.V.E.L.I.N.

To give you some context, my development team and I are currently beta-testing the project within our Mozgii Ecosystem AI platform. Our primary focus is on A.V.E.L.I.N.—an intelligent personal assistant in Telegram built to handle both basic and complex tasks involving AI-powered search, processing, and analysis of information.

The Emerging Skill of the AI Era: Beyond Just Searching

Fri, 25 Apr 2025 00:00:00 +0000

From my experience working with neural networks, it’s become obvious how two people can interact with the same model and get radically different outcomes.

This isn’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’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.

Models Are Tools, Not Events: The Real Meaning Behind GPT-4.1 and the End of GPT-4.5

Tue, 15 Apr 2025 00:00:00 +0000

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 ‘agents.’ 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.

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.

A Mouse Brain, 1.6 Petabytes of Data, and the Path to AGI

Fri, 11 Apr 2025 00:00:00 +0000

Scientists recently digitized a single cubic millimeter of a mouse’s visual cortex, a project that generated 1.6 petabytes of data to map 84,000 neurons and half a billion synapses.

To put that into perspective, the number of synapses in that tiny piece of brain tissue is comparable to the number of parameters in large-scale AI like DeepSeek or GPT models. It’s significantly more than the 29 billion parameters in a model like GigaChat. This comparison is a useful analogy for scale and complexity: just as synapses determine a brain’s processing capacity, parameters define the “power” of an AI.