Crypto Market Volatility in March 2025: A Shift in Sentiment
As of March 2025, the crypto market, particularly Bitcoin, is experiencing significant volatility, with the price dropping 5.3% to $78,354.89. This decline reflects a broader shift in market sentiment from extreme greed to fear, driven by a sudden change in risk appetite, as institutional capital exited tech stocks and built the largest Ethereum short position in history on February 9, 2025.
The announcement of a U.S. Strategic Crypto Reserve in early March initially sent crypto prices soaring, but it quickly turned into a "sell the news" event, exacerbating the downturn and aligning with the thread's analysis of deep red market days and massive outflows, such as the record $2.6 billion crypto fund outflow in late February 2025.
@webthreeth
As of March 2025, the crypto market, particularly Bitcoin, is experiencing significant volatility, with the price dropping 5.3% to $78,354.89. This decline reflects a broader shift in market sentiment from extreme greed to fear, driven by a sudden change in risk appetite, as institutional capital exited tech stocks and built the largest Ethereum short position in history on February 9, 2025.
The announcement of a U.S. Strategic Crypto Reserve in early March initially sent crypto prices soaring, but it quickly turned into a "sell the news" event, exacerbating the downturn and aligning with the thread's analysis of deep red market days and massive outflows, such as the record $2.6 billion crypto fund outflow in late February 2025.
@webthreeth
Tencent's Hunyuan-TurboS: Revolutionizing AI with Hybrid Efficiency and Superior Performance
Hunyuan-TurboS, developed by Tencent, is an innovative ultra-large Hybrid-Transformer-Mamba MoE model that combines Mamba's efficient long-sequence processing with Transformer's strong contextual understanding to overcome the O(N²) complexity and KV-Cache issues of traditional Transformer models.
This hybrid architecture enables Hunyuan-TurboS to outperform competitors like GPT-4o-0806 and DeepSeek-V3 in math, reasoning, and alignment benchmarks, while offering 1/7 lower inference costs than its predecessor, thanks to advancements such as slow-thinking integration, refined instruction tuning, and an upgraded reward system that enhances accuracy in STEM, QA, and creativity. Building on Tencent's earlier integration of AI models like Deepseek-R1 Ki into WeChat/Weixin in February 2025, Hunyuan-TurboS marks a significant step in the global AI race toward more intuitive and efficient AI solutions.
@webthreeth
Hunyuan-TurboS, developed by Tencent, is an innovative ultra-large Hybrid-Transformer-Mamba MoE model that combines Mamba's efficient long-sequence processing with Transformer's strong contextual understanding to overcome the O(N²) complexity and KV-Cache issues of traditional Transformer models.
This hybrid architecture enables Hunyuan-TurboS to outperform competitors like GPT-4o-0806 and DeepSeek-V3 in math, reasoning, and alignment benchmarks, while offering 1/7 lower inference costs than its predecessor, thanks to advancements such as slow-thinking integration, refined instruction tuning, and an upgraded reward system that enhances accuracy in STEM, QA, and creativity. Building on Tencent's earlier integration of AI models like Deepseek-R1 Ki into WeChat/Weixin in February 2025, Hunyuan-TurboS marks a significant step in the global AI race toward more intuitive and efficient AI solutions.
@webthreeth
AI's Uneven Impact on Global Employment
The chart illustrates the varying impact of AI on jobs across different economic regions, highlighting a stark contrast in exposure and complementarity. In advanced economies, a significant share of employment—around 60%—is highly exposed to AI, with roughly half of that share showing high complementarity, meaning AI can enhance these roles rather than replace them.
Globally, about 40% of jobs are highly exposed to AI, but this figure drops in emerging markets and low-income countries, where exposure is closer to 30% and 20%, respectively. In these regions, the share of jobs with high complementarity is also lower, indicating that AI is more likely to automate tasks without adding value to human roles.
This data underscores how AI's influence is predominantly felt in wealthier nations, potentially widening the technological and economic gap with emerging and low-income countries.
@webthreeth
The chart illustrates the varying impact of AI on jobs across different economic regions, highlighting a stark contrast in exposure and complementarity. In advanced economies, a significant share of employment—around 60%—is highly exposed to AI, with roughly half of that share showing high complementarity, meaning AI can enhance these roles rather than replace them.
Globally, about 40% of jobs are highly exposed to AI, but this figure drops in emerging markets and low-income countries, where exposure is closer to 30% and 20%, respectively. In these regions, the share of jobs with high complementarity is also lower, indicating that AI is more likely to automate tasks without adding value to human roles.
This data underscores how AI's influence is predominantly felt in wealthier nations, potentially widening the technological and economic gap with emerging and low-income countries.
@webthreeth
Gemma 3 27B IT: Pioneering High Performance with Minimal Size
Google unveiled Gemma 3, the latest lightweight, open-source AI model, designed for devices from smartphones to workstations. Available in four sizes—1B, 4B, 12B, and 27B parameters—it enables efficient, high-performing apps on a single GPU or TPU.
Gemma 3 27B IT stands out with an ELO score of 1,340, surpassing Meta Llama 3.1 405B (1,280 ELO) despite its 405 billion parameters, highlighting efficiency over scale. Compared to DeepSeek R1 (1,380 ELO, likely larger) and DeepSeek V3 (1,320 ELO), Gemma 3 excels with 27 billion parameters, outpacing Mistral Large 2407 (1,250 ELO, 200B) and Llama 3.3 70B (1,260 ELO, 70B). Models like Qwen 2.5 72B and Meta Llama 3.1 70B also lag at 1,260 ELO, underscoring Gemma 3’s optimization.
@webthreeth
Google unveiled Gemma 3, the latest lightweight, open-source AI model, designed for devices from smartphones to workstations. Available in four sizes—1B, 4B, 12B, and 27B parameters—it enables efficient, high-performing apps on a single GPU or TPU.
Gemma 3 27B IT stands out with an ELO score of 1,340, surpassing Meta Llama 3.1 405B (1,280 ELO) despite its 405 billion parameters, highlighting efficiency over scale. Compared to DeepSeek R1 (1,380 ELO, likely larger) and DeepSeek V3 (1,320 ELO), Gemma 3 excels with 27 billion parameters, outpacing Mistral Large 2407 (1,250 ELO, 200B) and Llama 3.3 70B (1,260 ELO, 70B). Models like Qwen 2.5 72B and Meta Llama 3.1 70B also lag at 1,260 ELO, underscoring Gemma 3’s optimization.
@webthreeth
Web 3.0 Ethiopia - DeFi & AI
Gemma 3 27B IT: Pioneering High Performance with Minimal Size Google unveiled Gemma 3, the latest lightweight, open-source AI model, designed for devices from smartphones to workstations. Available in four sizes—1B, 4B, 12B, and 27B parameters—it enables…
This is very huge for AI development. Parameters refer to variables that a model learns during its training to make predictions. Gemma has achieved a similar level of performance to DeepSeek R1 (which is currently the best open-source model) while training with 30X fewer parameters. This further pushes the frontier of AI development in the future.
@webthreeth
@webthreeth
The Disconnect Between Benchmark Scores and User Preferences
The graph highlights a significant disparity between traditional benchmark metrics and actual user preferences in AI model performance. It compares GPT-4.5 and DeepSeek V3, showing a modest 3.5% difference in Elo scores (1411 for GPT-4.5 vs. 1363 for DeepSeek V3), suggesting a close competition. However, user preference data reveals a stark contrast, with 74% of users favoring GPT-4.5 over DeepSeek V3's 26%.
This indicates that small differences in headline benchmarks can translate into a strong majority preference among users, a pattern observed across other similar model pairings. Sourced from LMArena, the data underscores the limitations of relying solely on Elo scores and emphasizes the importance of user experience in evaluating AI model effectiveness.
@webthreeth
The graph highlights a significant disparity between traditional benchmark metrics and actual user preferences in AI model performance. It compares GPT-4.5 and DeepSeek V3, showing a modest 3.5% difference in Elo scores (1411 for GPT-4.5 vs. 1363 for DeepSeek V3), suggesting a close competition. However, user preference data reveals a stark contrast, with 74% of users favoring GPT-4.5 over DeepSeek V3's 26%.
This indicates that small differences in headline benchmarks can translate into a strong majority preference among users, a pattern observed across other similar model pairings. Sourced from LMArena, the data underscores the limitations of relying solely on Elo scores and emphasizes the importance of user experience in evaluating AI model effectiveness.
@webthreeth
AI-Powered Farming Revolution in Ethiopia
The recent Memorandum of Understanding (MOU) between Ethiopia's Industrial Parks Development Corporation (IPDC) and Africa Farming Industries (AFI) marks a significant leap forward in agricultural innovation, with the introduction of an AI-powered vertical farming system. This cutting-edge technology, part of a two-million-dollar investment in the Bole Lemi Special Economic Zone, is set to enable year-round production of premium strawberries and saffron.
By leveraging artificial intelligence, the system ensures high yields and strict quality control, addressing seasonal limitations and boosting efficiency. This initiative not only modernizes Ethiopia's agricultural sector but also positions the country as a global player in exporting high-value crops, aligning with its broader goals of increasing foreign direct investment and sustainable development.
@webthreeth
The recent Memorandum of Understanding (MOU) between Ethiopia's Industrial Parks Development Corporation (IPDC) and Africa Farming Industries (AFI) marks a significant leap forward in agricultural innovation, with the introduction of an AI-powered vertical farming system. This cutting-edge technology, part of a two-million-dollar investment in the Bole Lemi Special Economic Zone, is set to enable year-round production of premium strawberries and saffron.
By leveraging artificial intelligence, the system ensures high yields and strict quality control, addressing seasonal limitations and boosting efficiency. This initiative not only modernizes Ethiopia's agricultural sector but also positions the country as a global player in exporting high-value crops, aligning with its broader goals of increasing foreign direct investment and sustainable development.
@webthreeth
Hedra's Character-3: Revolutionizing Video Creation with Omnimodal AI
The Character-3 model, launched by Hedra as part of its video generation platform, represents a significant leap in AI-driven content creation, introduced alongside Hedra Studio around March 6, 2025, based on current posts on X and web mentions. Billed as the first omnimodal AI model in production, Character-3 uniquely integrates image, text, and audio inputs to generate highly expressive, animated characters with natural movements, precise lip-syncing, and full-body motion capture.
This model allows users to upload a single image and pair it with audio or text prompts to produce dynamic, realistic videos—up to 90 seconds long—featuring talking, singing, or even rapping characters, all within minutes. Aimed at creators, marketers, and educators, Character-3 offers advanced customization options like emotional control and dynamic backgrounds, setting it apart from earlier models like Character-1 by delivering unparalleled realism and a seamless, unified workflow for storytelling.
@webthreeth
The Character-3 model, launched by Hedra as part of its video generation platform, represents a significant leap in AI-driven content creation, introduced alongside Hedra Studio around March 6, 2025, based on current posts on X and web mentions. Billed as the first omnimodal AI model in production, Character-3 uniquely integrates image, text, and audio inputs to generate highly expressive, animated characters with natural movements, precise lip-syncing, and full-body motion capture.
This model allows users to upload a single image and pair it with audio or text prompts to produce dynamic, realistic videos—up to 90 seconds long—featuring talking, singing, or even rapping characters, all within minutes. Aimed at creators, marketers, and educators, Character-3 offers advanced customization options like emotional control and dynamic backgrounds, setting it apart from earlier models like Character-1 by delivering unparalleled realism and a seamless, unified workflow for storytelling.
@webthreeth
PS - I made it Indian Accent just for the fun of it, but here is how the video goes, I think it is very good quality.
Imagen 3: Redefining Photorealism in AI Image Generation
Imagen 3, Google’s latest text-to-image model integrated into the Gemini ecosystem, represents a significant leap in AI-driven image generation as of March 2025. Launched globally to Gemini users around October 2024, Imagen 3 is celebrated for its exceptional photorealism, delivering sharper details, richer textures, and fewer visual artifacts than its predecessors.
It excels at interpreting natural language prompts with remarkable precision, enabling it to create diverse outputs ranging from lifelike scenes to stylized artworks like oil paintings or 3D digital renders. Built with improved safety filters and trained on enhanced datasets, Imagen 3 reflects Google’s focus on quality and responsibility, making it a versatile tool for creators. Its seamless integration with Gemini’s multimodal capabilities allows users to generate high-quality visuals directly within a conversational AI experience.
@webthreeth
Imagen 3, Google’s latest text-to-image model integrated into the Gemini ecosystem, represents a significant leap in AI-driven image generation as of March 2025. Launched globally to Gemini users around October 2024, Imagen 3 is celebrated for its exceptional photorealism, delivering sharper details, richer textures, and fewer visual artifacts than its predecessors.
It excels at interpreting natural language prompts with remarkable precision, enabling it to create diverse outputs ranging from lifelike scenes to stylized artworks like oil paintings or 3D digital renders. Built with improved safety filters and trained on enhanced datasets, Imagen 3 reflects Google’s focus on quality and responsibility, making it a versatile tool for creators. Its seamless integration with Gemini’s multimodal capabilities allows users to generate high-quality visuals directly within a conversational AI experience.
@webthreeth
Web 3.0 Ethiopia - DeFi & AI
Imagen 3: Redefining Photorealism in AI Image Generation Imagen 3, Google’s latest text-to-image model integrated into the Gemini ecosystem, represents a significant leap in AI-driven image generation as of March 2025. Launched globally to Gemini users around…
Here is an example of an Gameplay that was done by Imagen 3 from scratch with a matter of minutes. Is this impressive? Please click 👍. If you find it as one
👍1
MeetGamma: Revolutionizing Digital Content Creation with AI
MeetGamma is an innovative AI-powered platform designed to revolutionize the creation of presentations and landing pages, enabling users to produce polished, professional content in a fraction of the time traditionally required.
By leveraging advanced artificial intelligence, MeetGamma allows users to input specific requirements—such as a desired page type or use case—and generates customizable structures that can be fine-tuned with a variety of themes or branded elements. The tool streamlines the process by offering intuitive interfaces for editing content, selecting designs, and publishing pages instantly on a Gamma subdomain.
For advanced users, features like custom domains are available through a Gamma Pro subscription, enhancing its utility for businesses and individuals looking to establish a strong digital presence.
@webthreeth
MeetGamma is an innovative AI-powered platform designed to revolutionize the creation of presentations and landing pages, enabling users to produce polished, professional content in a fraction of the time traditionally required.
By leveraging advanced artificial intelligence, MeetGamma allows users to input specific requirements—such as a desired page type or use case—and generates customizable structures that can be fine-tuned with a variety of themes or branded elements. The tool streamlines the process by offering intuitive interfaces for editing content, selecting designs, and publishing pages instantly on a Gamma subdomain.
For advanced users, features like custom domains are available through a Gamma Pro subscription, enhancing its utility for businesses and individuals looking to establish a strong digital presence.
@webthreeth
Gemini Unveils Deep Research with 2.0 Flash Thinking Model, Now Free for All
On March 14, 2025, Google rolled out a significant upgrade to its Gemini AI assistant, launching the Deep Research feature powered by the Gemini 2.0 Flash Thinking Experimental model—and making it freely accessible to all users, not just Gemini Advanced subscribers.
Initially introduced in December 2024 for premium users, Deep Research transforms Gemini into a powerful research companion, capable of scouring the web, synthesizing data from diverse sources, and delivering detailed, multi-page reports on complex topics in minutes.
With the 2.0 Flash Thinking model, the feature now boasts enhanced reasoning capabilities, offering real-time visibility into its research process and producing high-quality insights for tasks like market analysis, academic research, or product comparisons. Users can customize research plans, export reports to Google Docs.
@webthreeth
On March 14, 2025, Google rolled out a significant upgrade to its Gemini AI assistant, launching the Deep Research feature powered by the Gemini 2.0 Flash Thinking Experimental model—and making it freely accessible to all users, not just Gemini Advanced subscribers.
Initially introduced in December 2024 for premium users, Deep Research transforms Gemini into a powerful research companion, capable of scouring the web, synthesizing data from diverse sources, and delivering detailed, multi-page reports on complex topics in minutes.
With the 2.0 Flash Thinking model, the feature now boasts enhanced reasoning capabilities, offering real-time visibility into its research process and producing high-quality insights for tasks like market analysis, academic research, or product comparisons. Users can customize research plans, export reports to Google Docs.
@webthreeth
Baidu’s Launch of ERNIE X1 and 4.5: Pioneering AI Innovation and Affordability
Baidu’s recent launch of ERNIE X1 and ERNIE 4.5 marks a significant advancement in the AI landscape, positioning the Chinese tech giant as a formidable player in the global market. ERNIE X1, a deep-thinking reasoning model with multimodal capabilities, delivers performance on par with DeepSeek R1 but at half the price, featuring enhanced understanding, planning, reflection, and autonomous tool use.
Meanwhile, ERNIE 4.5, Baidu’s latest foundation model, excels in multimodal understanding, boasting superior language abilities, reasoning, memory, and hallucination prevention, while outperforming models like GPT-4o across various benchmarks. Both models are now freely accessible to individual users via the ERNIE Bot website, with API access for enterprises on Baidu’s Qianfan platform, signaling Baidu’s strategy to democratize AI and intensify competition in the industry.
@webthreeth
Baidu’s recent launch of ERNIE X1 and ERNIE 4.5 marks a significant advancement in the AI landscape, positioning the Chinese tech giant as a formidable player in the global market. ERNIE X1, a deep-thinking reasoning model with multimodal capabilities, delivers performance on par with DeepSeek R1 but at half the price, featuring enhanced understanding, planning, reflection, and autonomous tool use.
Meanwhile, ERNIE 4.5, Baidu’s latest foundation model, excels in multimodal understanding, boasting superior language abilities, reasoning, memory, and hallucination prevention, while outperforming models like GPT-4o across various benchmarks. Both models are now freely accessible to individual users via the ERNIE Bot website, with API access for enterprises on Baidu’s Qianfan platform, signaling Baidu’s strategy to democratize AI and intensify competition in the industry.
@webthreeth
OpenAI's Vision for AI-Driven Automation in 2025
OpenAI’s Chief Product Officer, Kevin Weil, has outlined an ambitious vision for 2025, predicting that AI will automate coding by 99% by year’s end. This projection is supported by advancements in AI models, including enhanced pre-training and improved reasoning capabilities, as well as the development of tools like Deep Research, which offers insightful, specific information rather than generic responses. Beyond coding, OpenAI aims to democratize software access for everyone through its products and API, while also exploring the integration of AI into robotics.
This move reflects a broader goal to extend AI’s impact from digital tasks to physical applications, aligning with the company’s mission to create safe, beneficial, and universally accessible AI systems. Weil also expressed confidence in GPT-5, anticipating it will unify OpenAI’s O-series and GPT-series models, enhancing seamless AI interactions across various tasks.
@webthreeth
OpenAI’s Chief Product Officer, Kevin Weil, has outlined an ambitious vision for 2025, predicting that AI will automate coding by 99% by year’s end. This projection is supported by advancements in AI models, including enhanced pre-training and improved reasoning capabilities, as well as the development of tools like Deep Research, which offers insightful, specific information rather than generic responses. Beyond coding, OpenAI aims to democratize software access for everyone through its products and API, while also exploring the integration of AI into robotics.
This move reflects a broader goal to extend AI’s impact from digital tasks to physical applications, aligning with the company’s mission to create safe, beneficial, and universally accessible AI systems. Weil also expressed confidence in GPT-5, anticipating it will unify OpenAI’s O-series and GPT-series models, enhancing seamless AI interactions across various tasks.
@webthreeth
Mistral AI launches its new Mistral Small 3.1 model, which is able to be hosted and run locally
Mistral Small 3.1 is a cutting-edge language model developed by Mistral AI, designed to deliver exceptional performance in a compact size. With 24 billion parameters, it achieves an impressive 81% accuracy on standard benchmarks and processes 150 tokens per second. The model's efficiency is further enhanced by its ability to run locally on a single RTX 4090 GPU or a MacBook with 32GB RAM, which is particularly beneficial for hobbyists and organizations handling sensitive information.
Mistral Small 3.1 supports a wide range of languages and excels in both coding and generalist tasks, offering a cost-effective solution. Its advanced reasoning capabilities and strong adherence to system make it a versatile tool for various applications, from complex problem-solving to everyday tasks. The model's development without reinforcement learning or synthetic training data sets it apart from competitors.
@webthreeth
Mistral Small 3.1 is a cutting-edge language model developed by Mistral AI, designed to deliver exceptional performance in a compact size. With 24 billion parameters, it achieves an impressive 81% accuracy on standard benchmarks and processes 150 tokens per second. The model's efficiency is further enhanced by its ability to run locally on a single RTX 4090 GPU or a MacBook with 32GB RAM, which is particularly beneficial for hobbyists and organizations handling sensitive information.
Mistral Small 3.1 supports a wide range of languages and excels in both coding and generalist tasks, offering a cost-effective solution. Its advanced reasoning capabilities and strong adherence to system make it a versatile tool for various applications, from complex problem-solving to everyday tasks. The model's development without reinforcement learning or synthetic training data sets it apart from competitors.
@webthreeth
LG AI Research Unveils EXAONEDeep Today, Revolutionizing Agentic AI for Industry Applications
On March 18, 2025, Korean LG's AI wing, LG AI Research introduced EXAONEDeep, a groundbreaking next-generation AI model advancing "Agentic AI" with enhanced reasoning capabilities tailored for math, science, and coding tasks across professional and everyday applications.
Released as an open-source model at Nvidia’s GTC 2025, EXAONEDeep’s smaller variants—7.8B and 2.4B parameters—dominated major benchmarks, while the 32B version achieved the top spot on the AIME benchmark, outperforming a competitor at just 5% of its model size. This leap in efficiency and performance aligns with broader AI trends, such as Google’s recent focus on test-time compute scaling to improve model reasoning through self-verification, positioning EXAONEDeep as a leader in transforming real-world industry solutions.
@webthreeth
On March 18, 2025, Korean LG's AI wing, LG AI Research introduced EXAONEDeep, a groundbreaking next-generation AI model advancing "Agentic AI" with enhanced reasoning capabilities tailored for math, science, and coding tasks across professional and everyday applications.
Released as an open-source model at Nvidia’s GTC 2025, EXAONEDeep’s smaller variants—7.8B and 2.4B parameters—dominated major benchmarks, while the 32B version achieved the top spot on the AIME benchmark, outperforming a competitor at just 5% of its model size. This leap in efficiency and performance aligns with broader AI trends, such as Google’s recent focus on test-time compute scaling to improve model reasoning through self-verification, positioning EXAONEDeep as a leader in transforming real-world industry solutions.
@webthreeth
Web 3.0 Ethiopia - DeFi & AI
LG AI Research Unveils EXAONEDeep Today, Revolutionizing Agentic AI for Industry Applications On March 18, 2025, Korean LG's AI wing, LG AI Research introduced EXAONEDeep, a groundbreaking next-generation AI model advancing "Agentic AI" with enhanced reasoning…
AI intelligence is becoming more efficient and accessible over time. In AI, 'parameters' refer to the adjustable variables within a model that determine its capacity to learn, not the amount of training data itself.
LG today developed a model, EXAONEDeep, which is said to rival OpenAI’s o1 in performance while using only 4% of the parameters required for o1. This suggests that powerful AI can be achieved with fewer resources. LG’s model is also open-source, making it freely available.
For comparison, DeepSeek’s R1 model, trained on 671 billion parameters, is a leading open-source example, while LG’s EXAONE, potentially with 32 billion parameters, outperforms it. Such advancements could drive significant growth in AI, potentially paving the way for artificial general intelligence and super intelligence in the future.
Should I simplify posts like this to make the explanation better?
LG today developed a model, EXAONEDeep, which is said to rival OpenAI’s o1 in performance while using only 4% of the parameters required for o1. This suggests that powerful AI can be achieved with fewer resources. LG’s model is also open-source, making it freely available.
For comparison, DeepSeek’s R1 model, trained on 671 billion parameters, is a leading open-source example, while LG’s EXAONE, potentially with 32 billion parameters, outperforms it. Such advancements could drive significant growth in AI, potentially paving the way for artificial general intelligence and super intelligence in the future.
Should I simplify posts like this to make the explanation better?
Gemini Introduces Audio Overview for Engaging Learning
Gemini is enhancing its platform with Audio Overview, a feature previously popular in NotebookLM, now available to Gemini and Gemini Advanced subscribers globally in English starting March 18, 2025.
This tool transforms uploaded documents, slides, and Deep Research reports into podcast-style audio discussions featuring two AI hosts who summarize content, connect topics, and provide dynamic insights. Users can upload various files like class notes or research papers, click a suggestion chip, and listen to an engaging breakdown on the go via the web or mobile app, with options to share or download.
This rollout aims to make learning fun and productive, with more languages planned soon, solidifying Gemini as a versatile collaborator at gemini.google.com.
@webthreeth
Gemini is enhancing its platform with Audio Overview, a feature previously popular in NotebookLM, now available to Gemini and Gemini Advanced subscribers globally in English starting March 18, 2025.
This tool transforms uploaded documents, slides, and Deep Research reports into podcast-style audio discussions featuring two AI hosts who summarize content, connect topics, and provide dynamic insights. Users can upload various files like class notes or research papers, click a suggestion chip, and listen to an engaging breakdown on the go via the web or mobile app, with options to share or download.
This rollout aims to make learning fun and productive, with more languages planned soon, solidifying Gemini as a versatile collaborator at gemini.google.com.
@webthreeth