Web 3.0 Ethiopia - DeFi & AI
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Bridging the Information Gap on DeFI and Artificial Intelligence for Ethiopians
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Sam Altman's Strategic Shift: OpenAI to Release o3 and o4-mini Models Soon Amid Integration Challenges and High Demand for a Multimodal GPT-5 Expected to Surpass Performance Projections

​OpenAI's CEO, Sam Altman, has announced a revised release schedule for the company's upcoming AI models. The o3 and o4-mini models are now slated for release in the coming weeks, while GPT-5 is expected to follow in a few months. This strategic adjustment aims to address integration challenges and prepare for the anticipated high demand for GPT-5, which is projected to surpass initial performance expectations. ​

These developments underscore OpenAI's commitment to advancing multimodal AI capabilities, enabling models to process various data types such as text and images simultaneously. Altman emphasized that the additional development time has allowed for significant improvements to GPT-5, aiming to deliver a more robust and efficient AI system.

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Africa AI Council Unveiled at Kigali Summit

The launch of the Africa AI Council in Kigali, Rwanda, on April 3rd–4th, 2025, during the Global AI Summit on Africa. Organized by Smart Africa, an alliance of 40 African countries, the Council will include policymakers, industry leaders, and AI experts from government, private sector, civil society, and academia.

Its mission is to drive digital transformation, foster innovation, and shape policies to accelerate Africa’s digital economy, with a focus on leveraging AI to benefit the continent’s workforce. The Council will collaborate with knowledge partners like the Carnegie Endowment for International Peace (CEIP), which has launched an Africa Technology Policy Tracker to harmonize data and AI policies across the region. A 1-year strategic plan will be submitted at the Transform Africa Summit in Rabat, Morocco, from July 22nd–24th, 2025, outlining the Council’s roadmap for advancing Africa’s AI ecosystem.

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SelamGPT Starts Waitlist for Multilingual AI Chat from Ethiopia

The waitlist for SelamGPT, a groundbreaking conversational AI developed by @BanaCodes in Ethiopia, is now open, offering early access to a tool that promises to revolutionize multilingual interaction.

Supporting Amharic, Tigrinya, and English, SelamGPT boasts advanced features like voice mode for seamless speech-to-speech communication, robust voice recognition across all three languages, and a read-aloud function, all built upon a foundation model enhanced with specialized modules for voice and language processing.

Tech enthusiasts and language aficionados alike can join the waitlist at selamgpt.com to be among the first to experience this cutting-edge AI, with the SelamGPT Team available for support at selamgpt.com/contact. As anticipation grows for this Ethiopia-born innovation, interested users are encouraged to sign up and stay tuned via www.selamgpt.com for updates on its debut.

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Meta Unveils Llama 4: A New Era of Open-Source AI Excellence

Meta AI has recently unveiled Llama 4, its latest family of open-source large language models, released on April 5, 2025, featuring three variants: Llama 4 Scout, Llama 4 Maverick, and the forthcoming Llama 4 Behemoth.

Built on a mixture-of-experts (MoE) architecture, these multimodal models excel in processing text, images, and potentially other data types, with Scout boasting an industry-leading 10 million token context window and Maverick offering robust performance in general assistant tasks, surpassing competitors like GPT-4o and Gemini 2.0 on various benchmarks.

While Scout and Maverick are available now on platforms like llama.com and Hugging Face, Behemoth—still in training with 288 billion active parameters and nearly two trillion total parameters—promises to outperform GPT-4.5 and Claude 3.7 Sonnet in STEM tasks

https://ai.meta.com/blog/llama-4-multimodal-intelligence/

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Ethio Netsa Coin Unveils NetsaAI: The World’s First AI-Powered Telegram Airdrop developed by Ethiopians

Ethio Netsa Coin ($ETN), an Ethiopian based token thriving on The Open Network (TON Blockchain), is taking a bold step forward thanks to a groundbreaking partnership with ETHIOTECH AI and MaqdalaGPT, proudly introducing NetsaAI—a multilingual assistant fluent in English, Amharic, Afaan Oromo, Af Somali, and Tigrinya—ushering in the world’s first AI-powered Telegram Airdrop Mini App, where NetsaAI, equipped with deep knowledge of the $ETN Ecosystem, stands ready to support users 24/7.

This innovative feature enhances engagement and education for $ETN’s rapidly growing community of over 30,000 members, aligning perfectly with the project’s mission to make digital assets accessible across Ethiopia as it rolls out its ambitious airdrop of 2,000,000 tokens from a 5,000,000 total supply.

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OpenAI to Expand Deep Research Feature to ChatGPT Free Tier, Broadening Access to Advanced AI Tools

OpenAI's Deep Research feature, a powerful tool for in-depth, multi-step research, is set to become available to ChatGPT's free-tier users in the near future, marking a significant step in making advanced AI capabilities more accessible.

Initially launched for paid subscribers like Plus, Team, Edu, and Enterprise users with query limits, the feature has been praised for its ability to browse the web, analyze diverse sources, and generate detailed reports, particularly benefiting fields like finance, science, and policy. While Pro users currently enjoy higher query limits, the upcoming expansion to the free tier reflects OpenAI's commitment to democratizing AI tools, though the exact timeline for this rollout remains pending

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Solana's Descent Below $100 Today: Analyzing the Contributing Factors

Solana's recent dip below the $100 threshold reflects a confluence of market dynamics and external pressures. The broader cryptocurrency market has been under strain, with significant downturns in major assets like Bitcoin and Ethereum, which has had a cascading effect on altcoins such as Solana.

Additionally, the announcement of new tariffs by the Trump administration has intensified market volatility, prompting investors to retreat from riskier assets, including cryptocurrencies. Furthermore, technical indicators have signaled bearish trends; for instance, the formation of a "death cross" pattern—where the short-term moving average crosses below the long-term moving average—suggests potential for further declines. As of April 7, 2025, Solana is trading at approximately $98.73, with an intraday low of $97.53.​

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Web 3.0 Ethiopia - DeFi & AI
AI-Generated Short Film on Ethiopia’s Leaders Premieres April 7 The short film “ሊገናኙ ነው” will be released on Monday, April 7 on YouTube. Created by EHUD AI Studio, it is an AI-generated political psychological thriller that explores the stories and legacies…
AI-Generated Short Film on Ethiopian Leaders is Out on YouTube

The AI-generated short film "ሊገናኙ ነው" , premiered on April 7, 2025, on the EHUD AI Studio YouTube channel, as promised. Created by EHUD AI Studio, this political psychological thriller delves into the complex legacies of Ethiopia's past leaders, offering a thought-provoking narrative that has been refined since its initial screening on March 23, 2025.

Based on viewer feedback from the first showing, the creators enhanced the story and visuals to deliver a sharper and more impactful experience. Now available for viewing, the updated film aims to captivate audiences with its deep exploration of Ethiopia's political history, accessible via the EHUD AI Studio YouTube channel.

Link - https://youtu.be/ord8SqQfZE8?si=NdR_Vf9DLcTQKfDH

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Dominance of the United States in Notable AI Models in 2024

According to the 2025 AI Index Report by Epoch AI, the United States led the world in the development of notable AI models in 2024, with a total of 40 models, far surpassing other regions. China followed with 15 models, while France contributed 3.

Canada, Israel, Saudi Arabia, and South Korea each produced 1 notable AI model, highlighting a significant gap in AI innovation across different geographic areas. This data underscores the U.S.'s dominant position in AI research and development, likely driven by its robust tech ecosystem, substantial investments, and concentration of leading AI companies.

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Significant Decline in AI Inference Costs Across Benchmarks (2022-2024)

Between 2022 and 2024, the cost of utilizing large language models (LLMs) for inference has decreased dramatically, reflecting substantial advancements in AI efficiency.

In November 2022, achieving performance equivalent to GPT-3.5, which scores 64.8 on the MMLU benchmark—a widely recognized metric for evaluating language model capabilities—required an expenditure of $20.00 per million tokens. By October 2024, this cost had plummeted to just $0.07 per million tokens with models like Gemini-1.5-Flash-8B, marking a 280-fold reduction in under two years.

A parallel trend is observed in the more rigorous GPQA benchmark, where models scoring above 50% saw inference costs drop from $15 per million tokens in May 2024 to $0.12 per million tokens by December 2024, as exemplified by Phi 4. According to Epoch AI, LLM inference costs have been declining at a rate of nine to 900 times per year, depending on the specific task.

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Google's Gemini Coder: A New Frontier in AI-Driven Programming Excellence

Google's upcoming release of "Gemini Coder," is poised to be a groundbreaking addition to the Gemini model family, likely building on the advanced coding capabilities of Gemini 2.5 Pro, which already excels in reasoning and web development tasks with a 1-million token context window, according to Google DeepMind.

The claim that it will be the "world’s best coding model" suggests it may outperform existing benchmarks like SWE-bench, where Gemini 2.5 Pro has set a high standard using Google’s unique scaffolding and re-scoring methods.

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DeepCoder: A Fully Open-Source 14B Coder at O3-mini Level

The Agentica project open-source initiative to democratize reinforcement learning (RL) techniques and develop scalable systems for large language models (LLMs) and agents, which is a project at Berkley University. The Agentica Project recently unveiled DeepCoder-14B-Preview, a fully open-sourced 14 billion parameter AI model that rivals OpenAI's o1 and o3-mini in coding and math tasks, achieving an impressive 60.6% Pass@1 accuracy on LiveCodeBench—an 8% improvement over its base, Deepseek-R1-Distilled-Qwen-14B.

What sets this release apart is the project's commitment to transparency, sharing not only the model but also the dataset, code, and training recipe, empowering the community to replicate or further develop it.

Model - https://huggingface.co/agentica-org/DeepCoder-14B-Preview

By the way, do you want me to do an analysis on the type of open-sources found in AI? Please like the post.

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Gemini 2.5 Pro Powers Ahead: Deep Research Outshines OpenAI in User Preference Evaluations

Google's Deep Research feature, now powered by the Gemini 2.5 Pro model since April 8 2025, which outperforms OpenAI’s Deep Research in Google’s evaluations.

As shown in the attached comparison chart where human testers preferred Gemini Deep Research 69% overall compared to OpenAI’s 30.1%. The chart further details Gemini 2.5 Pro’s edge in specific areas: 60.6% preference in instruction following (versus OpenAI’s 39.4%), 76.3% in comprehensiveness (versus 23.1%), 73.3% in completeness (versus 26.7%), and 58.2% in writing quality (versus 41.8%), demonstrating its superior performance across multiple dimensions.

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Dire Wolves Resurrected, Meme Coins Unleashed: The $13.6M REMUS Frenzy before being Rug-Pulled

The introduction of REMUS, a meme coin based on the Solana blockchain, was triggered by Colossal Biosciences' announcement regarding the genetic revival of dire wolves, extinct for 10,000 years. This news led to a rapid increase in the coin's market capitalization, reaching an impressive $13.6 million within an hour.

However, as the initial excitement faded, the market experienced a decline. In contrast, similar projects like "Romulus" and "Khaleesi" struggled, collectively achieving only about $2 million in market value. This situation highlights the volatile nature of the meme coin market. One trader notably transformed an initial investment of $1,000 into a substantial profit of $108,000. This trend exemplifies the phenomenon of fear of missing out (FOMO) that drives enthusiasm around meme coins.

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GSMA Launches Report on Ethiopia’s Emerging AI Landscape

Ethiopia is poised to leverage the transformative power of Artificial Intelligence (AI) across various industries, as outlined in the latest GSMA report, “AI in Ethiopia: Promising use cases for development,” released on April 8, 2025.

This comprehensive study delves into the country’s burgeoning AI ecosystem, highlighting its potential to revolutionize sectors such as agriculture, healthcare, education, and entrepreneurship. The report examines innovative case studies of pioneering public and private organizations leading the charge in AI deployment, while also addressing the challenges and opportunities tied to AI talent, data availability, and computational capacity.

With detailed insights into key sectors primed for AI impact and actionable recommendations for policymakers, investors, and AI leaders, the report offers a roadmap for Ethiopia. You can find the study below in this link:
https://lnkd.in/dcbV79ce

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Thank you all. I really appreciate it.
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Harmonizing Innovation: Google Might Realesed its Text-to-Audio Soon on Gemini

Lyria, Google DeepMind’s advanced AI music generation model, is set to revolutionize how we create music by turning text prompts into high-quality songs with vocals and instrumentals. Introduced in November 2023, it’s already showing promise with features like Dream Track on YouTube Shorts and Music AI Tools, allowing users to craft custom soundtracks or transform hums into full compositions.

As of April 2025, Lyria has been integrated into Google’s Vertex AI platform, signaling that a wide public release is coming soon, making this powerful tool accessible beyond its initial limited testing phase with select creators and artists.

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Firebase Studio Unveiled: Google Launches Agentic Development Platform on a trial-basis in April 2025

Firebase Studio, launched by Google in April 2025, is a cloud-based, agentic development environment designed to streamline the creation of full-stack AI-infused applications. Accessible directly from a browser, it integrates tools like Project IDX, Genkit, and Gemini in Firebase, enabling developers to rapidly prototype, build, and deploy production-quality apps, including APIs, backends, frontends, and mobile interfaces.

With support for natural language prompts, a variety of frameworks like Next.js, and features such as real-time collaboration and one-click publishing via Firebase App Hosting, it caters to both novice and experienced developers. Currently in preview, Firebase Studio offers up to three free workspaces per user, with expanded options available through the Google Developer Program, making it a versatile and powerful platform for modern app development.

https://idx.google.com/

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OpenAI's Upcoming AI Models: Insights from ChatGPT Web App Update

OpenAI is preparing to introduce three new AI models—o4-mini, o4-mini-high, and o3 (full)—as indicated by a recent update in the ChatGPT web app. This update includes JavaScript code with case statements referencing these models, suggesting their integration into ChatGPT's backend, while o3 appears to be currently limited to Deep Research applications.

This information aligns with OpenAI's ongoing research focus on generative models and the importance of aligning AI with human values, although no official timeline or specific details about the models have been confirmed.

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BrowseComp: a benchmark created by OpenAI for browsing agents

BrowseComp is a meticulously designed benchmark that tests an AI’s ability to locate hard-to-find information through strategic web browsing and reasoning. It centers on short, fact-based questions with single, indisputable answers that are crafted to be challenging both for AI systems and human solvers.

By using "inverted" questions—where the correct answer is difficult to uncover yet straightforward to verify—BrowseComp forces models to pursue creative and persistent search strategies, rather than relying on brute-force methods. Its development involved rigorous checks, including ensuring that prevalent models like GPT‑4o struggled without advanced reasoning and browsing techniques.

Notably, while standard models achieved near-zero accuracy, an agent specifically trained for deep research managed to solve over half of the problems, highlighting the importance of combining robust reasoning with effective tool.

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