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... 10:51
Google’s New AI Can Now Think at Superhuman Level (Scary Fast)

AI Revolution

1+ months ago 9K views

Google's advancements in AI focus on mixture of depths (M-MOD), enabling efficient compute allocation by directing processing power to significant tokens and bypassing less important ones. This innovation allows faster processing rates with reduced resources, achieving equal or superior performance to standard transformers. Additionally, Google launched the VO2 AI video generation model priced competitively, alongside the introduction of the AI co-scientist system aimed at enhancing research outcomes through autonomous hypothesis generation and evaluation. The results demonstrate improvements in efficiency and insights, pointing toward transformative potential in both content generation and scientific research.
06:34 - 06:43

AI co-scientist aids researchers in generating and refining hypotheses.

Google Neural Network Architectures Research & Innovations
... 18:39
$20 vs $200 Google Gemini Deep Research VS OpenAI Deep Research VS Perplexity Deep Research!🤖

Josh Pocock

1+ months ago 2K views

OpenAI's deep research tools, part of their $200 monthly plan, have been gaining significant attention, yet alternatives exist. Google's Gemini Advanced model has emerged as a strong competitor, offering deep research capabilities for about $20 a month. Despite the hype around OpenAI, it's crucial to recognize Google's earlier developments in deep research tools, which include features such as prompt-based learning and comprehensive AI functionalities. The video compares deep research tools from OpenAI, Google, and a free option from Perplexity, focusing on their performance, accessibility, and user feedback.
04:04 - 04:10

Exploring the upgrade process to access Google Gemini Advanced deep research.

Google Natural Language Processing (NLP) Research & Innovations
... 5:38
Google Stocks Tank, OpenAI to Make Super Bowl Ad Debut | Vantage with Palki Sharma | N18G

Firstpost

1+ months ago 38K views

Artificial intelligence is experiencing rapid developments, with Google launching its Gemini 2 model while investing significantly to address AI demands. Companies face pressure from investors as they strive for cost efficiency following the success of cheaper AI models like China's DeepSeek. Governments are blocking DeepSeek in various countries due to national security concerns, even as user adoption grows. OpenAI, responding to declining user engagement, is diving into advertising with a Super Bowl commercial, signaling a shift in marketing strategies. As AI becomes omnipresent, its impact on daily life is poised to escalate.
02:30 - 02:37

Multiple countries have restricted DeepSeek due to national security threats.

Google AI Trends Finance
... 11:27
The Best LLM? Google vs OpenAI, Anthropic and DeepSeek

Trelis Research

1+ months ago 1K views

Google's new AI models, including Gemini Pro and Flash, show competitive pricing and performance against OpenAI's offerings. Market predictions suggest OpenAI will release a superior model by the end of June, although several companies, including Meta and Anthropic, may compete closely. Google can undercut competitors due to its proprietary TPU technology, allowing for cheaper processing. Analysts observe a shift in user expectations towards models providing detailed reasoning, suggesting a challenge for OpenAI and Google to keep up with better offerings in the fast-evolving AI landscape.
02:10 - 02:24

Google's TPU technology allows for cheaper processing than competitors' models.

Google Natural Language Processing (NLP) AI Trends
... 5:
Is China’s DeepSeek the end of Nvidia’s AI dominance?

South China Morning Post

1+ months ago 13K views

Chinese startup Deep Seek has gained attention for its AI models, V3 and R1, which were released in December and January. These models reportedly match or exceed the performance of prominent chatbots like OpenAI's ChatGPT, all while being developed at a lower cost and with less computing power. Their open-source nature allows third-party developers to innovate further. The achievement has caused concerns in the semiconductor industry, particularly for companies like Nvidia and TSMC, as the ability to train effective AI models with reduced resources raises questions about the value of heavy investments in high-end GPU technology.
02:33 - 02:42

Deep Seek's cost-effective models challenge investments in Nvidia and TSMC.

Deepseek AI hardware AI Trends
... 18:33
Deep Research by OpenAI - The Ups and Downs vs DeepSeek R1 Search + Gemini Deep Research

AI Explained

1+ months ago 51K views

OpenAI recently launched Deep Research, its latest agent powered by the GPT-3 model. Initial tests reveal impressive capabilities, although significant caveats exist, particularly in comparing performance against human benchmarks. While the agent excels at retrieving obscure information, its ability to act consistently as a useful assistant is still under evaluation. Cost considerations and the need for VPN access in certain regions also pose challenges for users. Overall, while advancements in AI are notable, human performance still significantly outstrips AI in certain tasks, raising important questions about the future of AI efficacy in complex problem solving.
03:21 - 03:48

Deep Research achieves 72% on key benchmarks, yet humans perform better.

OpenAI Machine Learning Research & Innovations
... 21:26
Open AI DEEP RESEARCH Vs Gemini 1.5 Pro Deep Research - First Glance

Code Raiders

1+ months ago 1K views

Initial experiences using OpenAI's new deep research tool were shared, comparing it to Google Gemini's Advanced 1.5 Pro. The speaker utilized both models to answer three questions, including one related to software engineering, a query about Irish nationality, and a wish to learn Chinese Mandarin. The AI responses varied in detail and depth, highlighting nuances in the results from OpenAI. While Google Gemini proved faster, the speaker found OpenAI's depth and exploratory insights particularly valuable, although both tools have areas for improvement, particularly in user interface and clarity of information presentation.
15:40 - 16:01

OpenAI generated several useful AI solutions for learning Chinese Mandarin.

OpenAI Deep Learning Research & Innovations
... 21:26
Open AI DEEP RESEARCH Vs Gemini 1.5 Pro Deep Research - First Glance

Code Raiders

1+ months ago 1K views

Initial experiences using OpenAI's new deep research tool were shared, comparing it to Google Gemini's Advanced 1.5 Pro. The speaker utilized both models to answer three questions, including one related to software engineering, a query about Irish nationality, and a wish to learn Chinese Mandarin. The AI responses varied in detail and depth, highlighting nuances in the results from OpenAI. While Google Gemini proved faster, the speaker found OpenAI's depth and exploratory insights particularly valuable, although both tools have areas for improvement, particularly in user interface and clarity of information presentation.
15:40 - 16:01

OpenAI generated several useful AI solutions for learning Chinese Mandarin.

OpenAI Deep Learning Research & Innovations