AI and Crypto News_ April 7-13.wav
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Here is this week episode about the AI and Cryptocurrency market over the past week.
Episode #2
Episode #2
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Gemini 2.5 Pro’s (The first PhD-Level Artificial Intelligence?): AIME 2024 and GPQA Diamond Evidence
Gemini 2.5 Pro’s exceptional performance on the AIME 2024 (92.0%) and GPQA Diamond (84.0%) benchmarks provides compelling evidence of PhD-level intelligence in mathematics and scientific reasoning. The AIME 2024, a rigorous test for top high school students, demands advanced mathematical problem-solving, where Gemini 2.5 Pro outperformed competitors like o3-mini (87.3%) and Grok 3 (83.9%), showcasing expertise akin to graduate-level scholars.
Similarly, the GPQA Diamond, a graduate-level benchmark with 198 challenging questions in biology, physics, and chemistry, tests deep domain knowledge. Gemini 2.5 Pro’s 84.0% score surpasses human PhD experts’ average of 65% (74% when excluding clear mistakes) and leads AI models like Grok 3 (80.2%) and o3-mini (79.7%). While these results highlight its ability to handle complex, structured tasks, its capacity for creative, original research.
@webthreeth
Gemini 2.5 Pro’s exceptional performance on the AIME 2024 (92.0%) and GPQA Diamond (84.0%) benchmarks provides compelling evidence of PhD-level intelligence in mathematics and scientific reasoning. The AIME 2024, a rigorous test for top high school students, demands advanced mathematical problem-solving, where Gemini 2.5 Pro outperformed competitors like o3-mini (87.3%) and Grok 3 (83.9%), showcasing expertise akin to graduate-level scholars.
Similarly, the GPQA Diamond, a graduate-level benchmark with 198 challenging questions in biology, physics, and chemistry, tests deep domain knowledge. Gemini 2.5 Pro’s 84.0% score surpasses human PhD experts’ average of 65% (74% when excluding clear mistakes) and leads AI models like Grok 3 (80.2%) and o3-mini (79.7%). While these results highlight its ability to handle complex, structured tasks, its capacity for creative, original research.
@webthreeth
Accelerating the AGI Race: How Gemini's AI's Self-Designed Reinforcement Learning Redefines the Path to General Intelligence
David Silver of Google DeepMind unveiled a groundbreaking AI system that uses reinforcement learning (RL) to autonomously develop its own RL algorithms—surpassing those crafted by human experts over decades. This meta-learning approach enables the AI to innovate decision-making and reward optimization strategies entirely through trial and error.
Building on DeepMind’s achievements with systems like AlphaZero, which mastered complex games via self-play, this advancement represents a major step toward AI systems that can independently create and refine algorithms. It opens the door to a future where AI research accelerates beyond traditional human-led design, reducing dependency on manually curated data.
Link - https://youtu.be/zzXyPGEtseI?si=trKowe4Ycbs2bOZY
@webthreeth
David Silver of Google DeepMind unveiled a groundbreaking AI system that uses reinforcement learning (RL) to autonomously develop its own RL algorithms—surpassing those crafted by human experts over decades. This meta-learning approach enables the AI to innovate decision-making and reward optimization strategies entirely through trial and error.
Building on DeepMind’s achievements with systems like AlphaZero, which mastered complex games via self-play, this advancement represents a major step toward AI systems that can independently create and refine algorithms. It opens the door to a future where AI research accelerates beyond traditional human-led design, reducing dependency on manually curated data.
Link - https://youtu.be/zzXyPGEtseI?si=trKowe4Ycbs2bOZY
@webthreeth
Web 3.0 Ethiopia - DeFi & AI
Accelerating the AGI Race: How Gemini's AI's Self-Designed Reinforcement Learning Redefines the Path to General Intelligence David Silver of Google DeepMind unveiled a groundbreaking AI system that uses reinforcement learning (RL) to autonomously develop…
This basically means that without additional data AI can learn like a human and excel at a stuff. Deepmind is cooking like hell
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OpenAI Readying Itself to Enter The Social Media Race with AI-Powered Platform
OpenAI is reportedly developing a new social network to compete with platforms like X and Meta, aiming to integrate ChatGPT’s image generation directly into a dynamic social feed. The goal is to harness real-time user interaction to improve AI models—mirroring a strategy already employed by rivals.
This move also adds fuel to the rivalry between OpenAI’s Sam Altman and Elon Musk, who once offered $97.4 billion to acquire OpenAI. Altman responded with a tongue-in-cheek counteroffer to buy Twitter for the same amount, highlighting their escalating competition in AI and social media.
@webthreeth
OpenAI is reportedly developing a new social network to compete with platforms like X and Meta, aiming to integrate ChatGPT’s image generation directly into a dynamic social feed. The goal is to harness real-time user interaction to improve AI models—mirroring a strategy already employed by rivals.
This move also adds fuel to the rivalry between OpenAI’s Sam Altman and Elon Musk, who once offered $97.4 billion to acquire OpenAI. Altman responded with a tongue-in-cheek counteroffer to buy Twitter for the same amount, highlighting their escalating competition in AI and social media.
@webthreeth
OpenAI’s 5-Level AI Maturity Framework
OpenAI reportedly employs a five-level internal framework to gauge its progress toward Artificial General Intelligence (AGI). The framework outlines a structured evolution of AI capabilities.
đź“ŚLevel 1(Chatbots/Conversational AI) - This system proficient in natural language understanding like ChatGPT.
đź“ŚLevel 2 (Reasoners) - It introduces basic problem-solving abilities akin to those of a highly educated human, with signs of emerging reasoning without external tools.
đź“ŚLevel 3 (Agents) - It describes autonomous systems capable of managing complex tasks.
đź“ŚLevel 4 (Innovators) - It marks AI that contributes meaningfully to creativity and discovery, generating novel ideas or driving technological breakthroughs. At the pinnacle,
đź“ŚLevel 5 (Organizations) - It envisions AI systems capable of independently operating the complex functions of entire organizations, potentially surpassing human efficiency.
Image - Gamma AI
@webthreeth
OpenAI reportedly employs a five-level internal framework to gauge its progress toward Artificial General Intelligence (AGI). The framework outlines a structured evolution of AI capabilities.
đź“ŚLevel 1(Chatbots/Conversational AI) - This system proficient in natural language understanding like ChatGPT.
đź“ŚLevel 2 (Reasoners) - It introduces basic problem-solving abilities akin to those of a highly educated human, with signs of emerging reasoning without external tools.
đź“ŚLevel 3 (Agents) - It describes autonomous systems capable of managing complex tasks.
đź“ŚLevel 4 (Innovators) - It marks AI that contributes meaningfully to creativity and discovery, generating novel ideas or driving technological breakthroughs. At the pinnacle,
đź“ŚLevel 5 (Organizations) - It envisions AI systems capable of independently operating the complex functions of entire organizations, potentially surpassing human efficiency.
Image - Gamma AI
@webthreeth
TilfFotoBetBot: Ethiopia’s Viral AI-Powered Selfie Generator by Tilf Software
@TilfFotoBetBot by Tilf Software PLC is a groundbreaking AI-powered Telegram bot developed in Ethiopia that allows users to generate creative self-portraits by uploading 15–20 selfies.
Leveraging generative AI, the bot customizes user images into themed templates, offering a fun, personalized experience. Launched after 1.5 years of development, it went viral on TikTok, bringing in tens of thousands of users within hours and overwhelming the system due to high demand.
Despite challenges such as GPU costs, scaling issues, and Ethiopia’s preference for mobile money transfers, the team successfully relaunched the service. With pricing starting at 330 ETB for initial setup and 13 ETB per image thereafter, FotoBetBot is not only a technical achievement but also a monetized success story.
Tilf plans to expand FotoBet’s capabilities in 2025 to support object-based generation and e-commerce-focused tools.
@webthreeth
@TilfFotoBetBot by Tilf Software PLC is a groundbreaking AI-powered Telegram bot developed in Ethiopia that allows users to generate creative self-portraits by uploading 15–20 selfies.
Leveraging generative AI, the bot customizes user images into themed templates, offering a fun, personalized experience. Launched after 1.5 years of development, it went viral on TikTok, bringing in tens of thousands of users within hours and overwhelming the system due to high demand.
Despite challenges such as GPU costs, scaling issues, and Ethiopia’s preference for mobile money transfers, the team successfully relaunched the service. With pricing starting at 330 ETB for initial setup and 13 ETB per image thereafter, FotoBetBot is not only a technical achievement but also a monetized success story.
Tilf plans to expand FotoBet’s capabilities in 2025 to support object-based generation and e-commerce-focused tools.
@webthreeth
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OpenAI Unveils Next-Generation Multimodal AI Models: o3 and o4-mini
OpenAI released two advanced AI reasoning models, o3 and o4-mini, showcasing major strides in multimodal AI capabilities.
The o3 model, OpenAI’s most powerful reasoning system so far, introduces the ability to interpret and reason with images—such as sketches, whiteboards, and even low-resolution visuals—by zooming, rotating, or cropping them during problem-solving.
This marks a significant evolution in AI’s capacity to integrate visual and textual information. Meanwhile, the o4-mini model offers a smaller, more efficient alternative, delivering strong performance in math, code, and visual tasks while being cost-effective.
Both models can autonomously use all ChatGPT tools, including web browsing, code execution, file handling, and image generation. They are now available to ChatGPT Plus, Pro, and Team users, with broader o3-pro support rolling out soon.
@webthreeth
OpenAI released two advanced AI reasoning models, o3 and o4-mini, showcasing major strides in multimodal AI capabilities.
The o3 model, OpenAI’s most powerful reasoning system so far, introduces the ability to interpret and reason with images—such as sketches, whiteboards, and even low-resolution visuals—by zooming, rotating, or cropping them during problem-solving.
This marks a significant evolution in AI’s capacity to integrate visual and textual information. Meanwhile, the o4-mini model offers a smaller, more efficient alternative, delivering strong performance in math, code, and visual tasks while being cost-effective.
Both models can autonomously use all ChatGPT tools, including web browsing, code execution, file handling, and image generation. They are now available to ChatGPT Plus, Pro, and Team users, with broader o3-pro support rolling out soon.
@webthreeth
OpenAI Unveils Codex CLI: A Game-Changing Open-Source Coding Agent for Developers
Codex CLI, launched by OpenAI on April 16, 2025, is a lightweight, open-source coding agent designed to run locally in a user's terminal, integrating the powerful coding capabilities of OpenAI's o3 and o4-mini models.
This tool aims to streamline the programming process by allowing developers to leverage AI directly within their command-line interfaces, enhancing workflows without the need for constant internet connectivity. Unlike more ambitious projects like OpenAI's "agentic software engineer" envisioned by CFO Sarah Friar—which could autonomously build and test apps—Codex CLI focuses on providing practical, immediate assistance for coding tasks.
OpenAI is also incentivizing adoption by offering $1 million in API grants to eligible software development projects, signaling their commitment to fostering a robust developer community around this new tool.
đź”—- https://github.com/microsoft/Codex-CLI
@webthreeth
Codex CLI, launched by OpenAI on April 16, 2025, is a lightweight, open-source coding agent designed to run locally in a user's terminal, integrating the powerful coding capabilities of OpenAI's o3 and o4-mini models.
This tool aims to streamline the programming process by allowing developers to leverage AI directly within their command-line interfaces, enhancing workflows without the need for constant internet connectivity. Unlike more ambitious projects like OpenAI's "agentic software engineer" envisioned by CFO Sarah Friar—which could autonomously build and test apps—Codex CLI focuses on providing practical, immediate assistance for coding tasks.
OpenAI is also incentivizing adoption by offering $1 million in API grants to eligible software development projects, signaling their commitment to fostering a robust developer community around this new tool.
đź”—- https://github.com/microsoft/Codex-CLI
@webthreeth
o3 Unveiled: Pioneering Agentic AI Training Beyond Traditional LLMs
Yesterday's OpenAI 's o3 model marks a significant shift as the first publicly available model trained as an "agent" rather than a traditional reasoning-focused language model, emphasizing its ability to autonomously execute complex, multi-step tasks by integrating tools like web search, Python, and image analysis.
Unlike conventional training methods—such as those used for earlier LLMs like GPT-4, which primarily focus on generating text responses through pattern recognition and prediction, or even reasoning models like o1 that emphasize step-by-step logical deduction—o3's agentic training enables it to actively interact with external environments, plan actions, and adapt workflows dynamically.
This approach mirrors human-like problem-solving by not just reasoning through a prompt but also performing actionable steps, such as coding or analyzing visuals, to achieve a goal.
@webthreetg
Yesterday's OpenAI 's o3 model marks a significant shift as the first publicly available model trained as an "agent" rather than a traditional reasoning-focused language model, emphasizing its ability to autonomously execute complex, multi-step tasks by integrating tools like web search, Python, and image analysis.
Unlike conventional training methods—such as those used for earlier LLMs like GPT-4, which primarily focus on generating text responses through pattern recognition and prediction, or even reasoning models like o1 that emphasize step-by-step logical deduction—o3's agentic training enables it to actively interact with external environments, plan actions, and adapt workflows dynamically.
This approach mirrors human-like problem-solving by not just reasoning through a prompt but also performing actionable steps, such as coding or analyzing visuals, to achieve a goal.
@webthreetg
OpenAI o3 Model Ranks in Top 1% of Human Intelligence
Scoring an impressive 136 on the Mensa Norway IQ test, the OpenAI o3 model ranks in the 99th percentile of human intelligence. This places it above 99% of the human population in terms of cognitive ability, a level typically classified as "very superior" or "gifted." For context, this score exceeds the threshold required for membership in high-IQ societies like Mensa, which usually begins at an IQ of 130 (98th percentile).
The o3 model’s exceptional performance highlights its advanced reasoning and problem-solving capabilities, demonstrating intelligence that rivals and even surpasses that of the most cognitively capable humans.
@webthreeth
Scoring an impressive 136 on the Mensa Norway IQ test, the OpenAI o3 model ranks in the 99th percentile of human intelligence. This places it above 99% of the human population in terms of cognitive ability, a level typically classified as "very superior" or "gifted." For context, this score exceeds the threshold required for membership in high-IQ societies like Mensa, which usually begins at an IQ of 130 (98th percentile).
The o3 model’s exceptional performance highlights its advanced reasoning and problem-solving capabilities, demonstrating intelligence that rivals and even surpasses that of the most cognitively capable humans.
@webthreeth
Empowering Ethiopia’s Agri-Commerce with AI: ChipChip’s Search for an AI Agents Developer
ChipChip is an innovative agri-commerce platform in Ethiopia that connects smallholder farmers directly with consumers through a "social buying" model.
ChipChip is currently hiring an AI Agents Developer with a focus on LLM integration and data handling. At the heart of this role is a strong emphasis on artificial intelligence—particularly large language models (LLMs)—to create intelligent, conversational systems that interact with both structured SQL data and unstructured inputs.
The developer will be pivotal in designing AI agents that automate business processes, enhance customer support, and generate actionable insights in real time. Candidates are expected to bring deep experience in AI/ML development, Python, SQL, and frameworks like LangChain and RAG, while demonstrating a clear ability to turn data into dynamic, AI-driven solutions.
đź”— - https://forms.gle/RdtxRFqCa5vbYnDdA
@webthreeth
ChipChip is an innovative agri-commerce platform in Ethiopia that connects smallholder farmers directly with consumers through a "social buying" model.
ChipChip is currently hiring an AI Agents Developer with a focus on LLM integration and data handling. At the heart of this role is a strong emphasis on artificial intelligence—particularly large language models (LLMs)—to create intelligent, conversational systems that interact with both structured SQL data and unstructured inputs.
The developer will be pivotal in designing AI agents that automate business processes, enhance customer support, and generate actionable insights in real time. Candidates are expected to bring deep experience in AI/ML development, Python, SQL, and frameworks like LangChain and RAG, while demonstrating a clear ability to turn data into dynamic, AI-driven solutions.
đź”— - https://forms.gle/RdtxRFqCa5vbYnDdA
@webthreeth
Gemini 2.5 Flash: Google’s Fast, Cost-Efficient AI Model
Google’s Gemini 2.5 Flash, a new AI model in preview, combines low latency and cost-efficiency with customizable reasoning, making it ideal for tasks like coding and multimodal data processing. With a 1-million token context window, it handles large datasets effectively, while developers can adjust the model’s thinking budget to balance performance and cost.
Priced at $0.15 for input and $0.60 for output per 1M tokens for non-thinking tasks, it offers a competitive edge over rivals like OpenAI in specific use cases, positioning it as a versatile tool for developers seeking high performance at a lower cost. Gemini 2.5 Flash sits on the Pareto frontier, meaning it offers optimal performance for its cost, outperforming competitors like DeepSeek-R1, as noted in replies.
@webthreeth
Google’s Gemini 2.5 Flash, a new AI model in preview, combines low latency and cost-efficiency with customizable reasoning, making it ideal for tasks like coding and multimodal data processing. With a 1-million token context window, it handles large datasets effectively, while developers can adjust the model’s thinking budget to balance performance and cost.
Priced at $0.15 for input and $0.60 for output per 1M tokens for non-thinking tasks, it offers a competitive edge over rivals like OpenAI in specific use cases, positioning it as a versatile tool for developers seeking high performance at a lower cost. Gemini 2.5 Flash sits on the Pareto frontier, meaning it offers optimal performance for its cost, outperforming competitors like DeepSeek-R1, as noted in replies.
@webthreeth
Zeno 2.0 Launches: Orchid's Breakthrough AI for Quantitative Finance, Released Yesterday
Zeno 2.0 is Orchid’s groundbreaking AI copilot engineered to redefine the landscape of quantitative finance. Designed specifically for quants, analysts, and hedge funds, Zeno 2.0 revolutionizes research workflows by transforming academic papers into executable trading strategies—completely code-free.
With an 80% reduction in time from idea to execution, Zeno 2.0 empowers finance teams to move faster, explore deeper, and generate alpha more efficiently than ever before. At its core is a robust multi-agent architecture powered by 15 specialized LLMs, each fine-tuned for financial precision and speed.
In recent benchmark tests, it outperformed industry leaders across the board: 41% more effective than GPT-o1 on financial tasks, 25% better than Claude 3.7 for quant coding, and 20% stronger than Gemini 2.5. It also achieved a 95% score on FinBench, marking the second highest result ever recorded.
@webthreeth
Zeno 2.0 is Orchid’s groundbreaking AI copilot engineered to redefine the landscape of quantitative finance. Designed specifically for quants, analysts, and hedge funds, Zeno 2.0 revolutionizes research workflows by transforming academic papers into executable trading strategies—completely code-free.
With an 80% reduction in time from idea to execution, Zeno 2.0 empowers finance teams to move faster, explore deeper, and generate alpha more efficiently than ever before. At its core is a robust multi-agent architecture powered by 15 specialized LLMs, each fine-tuned for financial precision and speed.
In recent benchmark tests, it outperformed industry leaders across the board: 41% more effective than GPT-o1 on financial tasks, 25% better than Claude 3.7 for quant coding, and 20% stronger than Gemini 2.5. It also achieved a 95% score on FinBench, marking the second highest result ever recorded.
@webthreeth
Generative AI Agents as Hyper-Efficient Virtual Coworkers in Organizations
McKinsey & Company's diagram illustrates how generative AI–powered agent systems can function as hyper-efficient virtual coworkers, streamlining workflows from initial prompt to final output. The process begins when a user provides a natural language prompt, which is interpreted by an AI-driven agent system.
A central manager agent breaks down the task into smaller components and delegates them to various specialist agents—such as analyst, checker, and planner agents. These agents collaborate and interact with internal and external systems, including databases and organizational tools. Once the individual components are completed, the agent system assembles the results into a draft output and presents it to the user. Feedback is then incorporated, and the agents iterate on the output to refine and improve it. This continuous feedback loop allows for faster, more accurate, and scalable task execution.
@webthreeth
McKinsey & Company's diagram illustrates how generative AI–powered agent systems can function as hyper-efficient virtual coworkers, streamlining workflows from initial prompt to final output. The process begins when a user provides a natural language prompt, which is interpreted by an AI-driven agent system.
A central manager agent breaks down the task into smaller components and delegates them to various specialist agents—such as analyst, checker, and planner agents. These agents collaborate and interact with internal and external systems, including databases and organizational tools. Once the individual components are completed, the agent system assembles the results into a draft output and presents it to the user. Feedback is then incorporated, and the agents iterate on the output to refine and improve it. This continuous feedback loop allows for faster, more accurate, and scalable task execution.
@webthreeth
The World Bank launches Accelerating Development — a groundbreaking AI-powered podcast driving global impact through smarter insights
The World Bank has launched a new AI-powered podcast: Accelerating Development – #Ideas4Impact. Designed to make global development insights more accessible and actionable, the podcast uses generative AI to deliver content in two tailored formats: a Policy Makers Edition offering fast, focused takeaways, and a Researchers Edition featuring deep dives into the data, methodologies, and design strategies behind impactful development work.
What sets this apart is its multilingual reach — available in seven languages including English, Spanish, French, Arabic, Portuguese, Chinese, and Hindi — ensuring key ideas travel farther and faster. Backed by the latest World Bank research and advanced AI, this podcast is a fresh step forward in global knowledge sharing around the world.
https://www.podbean.com/podcast-network/wbginstitute
The World Bank has launched a new AI-powered podcast: Accelerating Development – #Ideas4Impact. Designed to make global development insights more accessible and actionable, the podcast uses generative AI to deliver content in two tailored formats: a Policy Makers Edition offering fast, focused takeaways, and a Researchers Edition featuring deep dives into the data, methodologies, and design strategies behind impactful development work.
What sets this apart is its multilingual reach — available in seven languages including English, Spanish, French, Arabic, Portuguese, Chinese, and Hindi — ensuring key ideas travel farther and faster. Backed by the latest World Bank research and advanced AI, this podcast is a fresh step forward in global knowledge sharing around the world.
https://www.podbean.com/podcast-network/wbginstitute
I feel like the age of podcasting will looks so different over the next 24 - 36 months. This will be coupled with the increasing sophistication of video generation plus increasing audio quality generated through Audio Overview.
Personal Opinion
I found the post on Twitter, the question isn't even mine, but it made me think in depth. The true benefits of AI won’t reach everyone until it’s seamlessly integrated into our everyday devices—only then will its impact be widely understood, and the question becomes much like in the time of the Renaissance: will you be among the enlightened few or the unaware many?
@webthreeth
I found the post on Twitter, the question isn't even mine, but it made me think in depth. The true benefits of AI won’t reach everyone until it’s seamlessly integrated into our everyday devices—only then will its impact be widely understood, and the question becomes much like in the time of the Renaissance: will you be among the enlightened few or the unaware many?
@webthreeth
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xAI Unveils Grok 3 API: Redefining Affordable AI for Real-World and Reasoning Tasks
xAI has officially launched the Grok 3 family API, introducing Grok 3 and Grok 3 Mini to developers worldwide yesterday.
This release marks a major step forward for xAI, offering two distinct models: Grok 3, positioned as the most powerful non-reasoning model available—ideal for domains like law, finance, and healthcare—and Grok 3 Mini, a highly efficient reasoning model priced at just $0.30 per million input tokens, making it five times more affordable than rivals like Gemini 2.5 Pro.
The API supports a massive 131,072-token context window and is fully compatible with leading dev tools like Vercel and Cursor, empowering teams to build cutting-edge applications with ease. Backed by benchmark results from Artificial Analysis, the launch emphasizes Grok 3 Mini’s strong performance in STEM, mathematics, and programming—setting a new standard for cost-effective AI capability.
@webthreeth
xAI has officially launched the Grok 3 family API, introducing Grok 3 and Grok 3 Mini to developers worldwide yesterday.
This release marks a major step forward for xAI, offering two distinct models: Grok 3, positioned as the most powerful non-reasoning model available—ideal for domains like law, finance, and healthcare—and Grok 3 Mini, a highly efficient reasoning model priced at just $0.30 per million input tokens, making it five times more affordable than rivals like Gemini 2.5 Pro.
The API supports a massive 131,072-token context window and is fully compatible with leading dev tools like Vercel and Cursor, empowering teams to build cutting-edge applications with ease. Backed by benchmark results from Artificial Analysis, the launch emphasizes Grok 3 Mini’s strong performance in STEM, mathematics, and programming—setting a new standard for cost-effective AI capability.
@webthreeth
Ethiopian AI Platform SelamGPT Introduces Real-Time Search and Voice-Enabled Multilingual Support
@SelamGPT, a multilingual AI chatbot developed in Ethiopia by @BanaCodes, has launched a new set of features aimed at enhancing user interaction and access to real-time information. The platform now supports a real-time search engine that delivers up-to-date responses on trending topics, current events, and breaking news.
In addition to its existing support for Amharic, Tigrinya, and English, SelamGPT offers voice recognition and read-aloud capabilities across all three languages, enabling more accessible and natural communication. Looking ahead, the team is working to integrate image generation features that accept prompts in local languages.
@webthreeth
@SelamGPT, a multilingual AI chatbot developed in Ethiopia by @BanaCodes, has launched a new set of features aimed at enhancing user interaction and access to real-time information. The platform now supports a real-time search engine that delivers up-to-date responses on trending topics, current events, and breaking news.
In addition to its existing support for Amharic, Tigrinya, and English, SelamGPT offers voice recognition and read-aloud capabilities across all three languages, enabling more accessible and natural communication. Looking ahead, the team is working to integrate image generation features that accept prompts in local languages.
@webthreeth
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