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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Can AI start thinking by itself : A recent research thinks so

A recent research paper which reveals that large language models can now think in a latent space.

This means that these models can perform reasoning internally without needing to display every step in a way that's visible to users. This advancement suggests that even smaller models can achieve impressive results by using smarter design rather than just being bigger, making AI more efficient and possibly more widespread.

@webthreeth
Altcoin Market Plummets by $234 Billion: Bitcoin's Performance Creates Growing Divergence

According to Glassnode, the altcoin market has just experienced one of its most significant devaluations on record, losing $234 billion in market value.

This sharp decline underscores a widening gap between altcoins and Bitcoin, which continues to outperform its counterparts.

This divergence highlights the increasing volatility and risk within the altcoin sector, while Bitcoin maintains its relative stability and investor confidence.

@webthreeth
The second president to adopt Bitcoin, launched the first memecoin - Central African Republic


In an astonishing 48-hour period since its launch, $CAR has skyrocketed from an $80K market cap to an all-time high of $900M in just four hours, with nearly $1B in trading volume on decentralized exchanges.

The memecoin has been listed on several major exchanges including @MEXC_Official, @BingXOfficial, @BitMartExchange, @LBank_Exchange, and @XTexchange, among others, and has become the trending #1 on Solana, amassing over 27,000 holders.

Alongside its market success, $CAR has launched new initiatives in the Central African Republic, endorsed by President Faustin-Archange Touadéra, making it the first-ever country memecoin.

Looking ahead, the team plans to expand exchange listings, secure major partnerships, initiate a global marketing campaign, and collaborate with large institutions to boost credibility and impact, all while continuing to update on development initiatives in the country.

@webthreeth
CZ's Dog Named Broccoli Sparks Meme Coin Frenzy Across Blockchains


Binance co-founder and former CEO Changpeng Zhao, known as "CZ," sparked a meme coin frenzy when he revealed his dog's name, Broccoli, on X, leading to the creation and speculation around numerous "CZ's Dog" tokens on BNB Chain. Tokens like CLEO, BROWNIE, and PERRY saw multi-million dollar market caps as traders tried to predict the name. However, these tokens plummeted after the reveal.

The actual naming of his 18-month-old Belgian Malinois as Broccoli triggered a rush on BNB Chain's Four.meme launchpad, with one Broccoli token momentarily reaching a $400 million market cap.

The frenzy around Broccoli-related tokens on BNB Chain was so intense that it reportedly knocked the Four.meme platform offline. Despite the chaos, one version of the BROCCOLI token settled at around a $74 million market cap, generating over $220 million in trading volume within two hours and creating at least 11 wallets with more than $1 million profits.

@webthreeth
Perplexity AI Unveils Deep Research: A Game-Changer in AI-Powered Inquiry

Perplexity AI launched its Deep Research tool, an innovative feature aimed at transforming how users conduct research. This new tool allows users to generate expert-level insights on various topics quickly, with free access up to 5 queries per day, and up to 500 queries per day for Pro users.

Deep Research performs multiple searches, reviews hundreds of sources, and compiles comprehensive reports, scoring 93.9% accuracy on the SimpleQA benchmark and 21.1% on Humanity's Last Exam, outperforming leading models like Gemini Thinking and DeepSeek-R1. This launch positions Perplexity AI as a formidable competitor in the AI research tool market, offering a solution that's both accessible and powerful.

@webthreeth
The Libra Rug Pull: From Political Promise to Crypto Catastrophe

Libra token was launched with much fanfare, promoted by none other than the President of Argentina, Javier Milei, as a means to stimulate the country's economy.

The token's market cap soared to an astonishing $4.5 billion within hours, fueled by speculative buying and promises of economic rejuvenation. However, the excitement was short-lived as insiders, including the development team, executed what's now infamously known as the "Libra Rug Pull." They manipulated liquidity pools, adding only Libra tokens without any backing assets like USDC, which allowed them to siphon off over $100 million in mere minutes, leaving retail investors with nearly worthless tokens.

The aftermath of the Libra Rug Pull was swift and severe. The token's value plummeted by 94%, erasing billions from the market cap and causing widespread panic selling among investors.

@webthreeth
Grok III : 'The Smartest AI' expected to be released on Monday


Grok 3, the latest iteration of xAI's AI model, is poised to redefine the standards of artificial intelligence with its advanced capabilities in context understanding, nuanced response generation, and insightful assistance across various knowledge areas.

With enhancements in natural language processing and machine learning, Grok 3 is set to offer improved complex reasoning and a more intuitive user interaction. This eagerly awaited update is expected to be released on Monday.

@webthreeth
OPENAI Roadmap : A single unified GPT-5 Model

The OpenAI roadmap outlines a progression towards a single unified GPT-5 model, as depicted in the image.

Starting with GPT-4.0, the roadmap shows an incremental increase in performance over time. GPT-4.5 is marked as the last non-reasoning model, indicating a shift in focus towards more advanced capabilities. The roadmap then progresses to O1 and O3, with O3 noted as not being released as a standalone model. The culmination is the GPT-5 model, which comes in three versions: Free, Plus, and Pro, integrating all tools including voice, search, canvas, and deep research.

This roadmap suggests a strategic development path aimed at enhancing performance and integrating comprehensive functionalities into a unified model.

@webthreeth
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Deep Research to expand it's capabilities over the coming weeks?

OpenAI has recently introduced "Deep Research," an AI-powered tool within ChatGPT designed to enhance research capabilities by synthesizing information from multiple online sources.

According to recent announcements, over the coming weeks, OpenAI plans to expand Deep Research's features to include data visualizations and graphs. This update aims to provide users with a more comprehensive analysis, moving beyond text-only outputs to incorporate visual elements that can enhance understanding and presentation of complex data.

The integration of data and graphs is expected to make the tool even more useful for generating in-depth research reports, offering users not only textual analysis but also visual representations of data trends and patterns.

@webthreeth
Grok 3 : Comparison in Science and Math to other GPT Models

At the launch of Grok 3 Event, a detailed benchmark comparison was presented, showcasing the performance of various AI models across different domains.

The chart highlighted the capabilities of Grok-3, Grok-3 mini, Gemini Pro, DeepSeek-V3, Claude 3.5 Sonnet, and GPT-4o in Math (AIME '24), Science (GPQA), and Coding (LCB Oct-Feb). Grok-3 demonstrated a strong performance, particularly in Science with a score of 75, while Grok-3 mini showed a balanced performance across all three categories.

This visual representation provided a clear insight into how Grok-3 stacks up against its competitors in these specialized areas, emphasizing its advanced capabilities in the AI landscape.

@webthreeth
Reasoning + Test-Time Compute : Grok-3 vs Other Models

During the launch of Grok 3 Event, a comprehensive comparison of various AI models' reasoning capabilities was showcased through the "Reasoning + Test-Time Compute" benchmark chart.

This chart illustrated the performance of Grok-3 Reasoning Beta, Grok-3 mini Reasoning, o3mini(high), o1, Deepseek-R1, and Gemini-2 Flash Thinking across three domains: Math (AIME'24), Science (GPQA), and Coding (LCB Oct-Feb).

Grok-3 Reasoning Beta led with impressive scores of 96 in Math, 85 in Science, and 79 in Coding, demonstrating its superior reasoning capabilities. The comparison highlighted the advancements in AI reasoning and computational efficiency, setting a new benchmark in the field.

@webthreeth
SKYworkAI released the best video generation AI model to date.

SkyReels V1 540p, developed by SkyworkAI, stands out from other video generation models due to its superior performance across various metrics.

According to the comparison data, SkyReels V1 achieves the highest overall score of 82.43, surpassing models like VideoCrafter-2.0 VEnhancer and CogVideoX1.5-5B.

Finetuned on HunyuanVideo with 10M film and TV clips, the T2V model delivers advanced facial animation, capturing 33 distinct expressions with over 400 natural movement combinations.

@webthreeth
A lesson for Ethiopia AI Developers: French Mistral AI launches Mistral Saba 24B, an AI model that is designed specific to MENA Region

Mistral AI has launched Mistral Saba, a groundbreaking 24-billion-parameter AI model specifically designed for the Middle Eastern and South Asian markets. This model focuses on enhancing interactions in Arabic, offering a culturally sensitive approach that general-purpose models often lack. It's trained on datasets from these regions, providing more accurate and relevant responses in Arabic than larger, more general models.

Interestingly, due to the cultural and linguistic overlap between the Middle East and South Asia, Saba also performs well with Indian-origin languages, particularly South Indian languages like Tamil and Malayalam.

This release represents Mistral AI's strategic move to cater to the unique needs of these markets, offering a solution that is both efficient in terms of speed (processing over 150 tokens per second) and cost-effective.

@webthreeth
Solana's Price Plunge: The Bursting of the Meme Coin Bubble


The Solana (SOL) price has experienced a significant decline of 40% over the past month, primarily driven by the bursting of the meme coin bubble. The initial surge in SOL's price was fueled by the popularity of meme coins on the Solana blockchain, with projects like Pump.fun becoming hotbeds for minting and trading these speculative assets.

However, as the hype around meme coins, including high-profile tokens like MELANIA and LIBRA, faded, investor confidence waned. Reports of insider trading and pump-and-dump schemes further exacerbated the downturn, leading to a substantial loss in value and trading volume for Solana. This has resulted in SOL falling below $170, its lowest since early November, reflecting a broader market sentiment shift away from meme coin speculation.

@webthreeth
According to LM Arena, Grok III is the leader in all measuring fields for AI. Let's see how competitions respond over the next couple of weeks.

@webthreeth
SWE-Lancer: Benchmarking AI in Real-World Software Engineering

SWE-Lancer is a new benchmark introduced by OpenAI to evaluate the performance of AI models in real-world freelance software engineering tasks.

It comprises over 1,400 tasks sourced from Upwork, collectively valued at $1 million in real-world payouts. SWE-Lancer tests models on a wide range of tasks from basic bug fixes to complex feature implementations, spanning the full engineering stack from UI/UX to systems design. It assesses both independent coding tasks and managerial decisions, where models must choose between different implementation proposals.

Despite the advanced capabilities of current frontier models, they struggle to solve the majority of these tasks, highlighting the gap between AI's potential and its practical application in complex software engineering scenarios.

@webthreeth
I hate that politicians got involved and killed the Solana based Memecoins. They really destroyed the chance to build generational wealth. I had bought 1 SOL, and it is tanking like 🤣
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Google Launches Its AI Co-Scientist to Transform Biomedical Research

Google's AI Co-Scientist, unveiled on February 19, 2025, is an innovative tool built on the Gemini 2.0 platform, designed to accelerate scientific discovery by assisting researchers in biomedical fields.

This multi-agent AI system can generate novel hypotheses, create detailed research plans, and summarize relevant literature based on natural language inputs from scientists, such as exploring new applications for existing drugs or understanding disease mechanisms.

Unlike fully autonomous systems, it acts as a collaborative partner, enhancing human expertise rather than replacing it, and has been tested by researchers at institutions like Stanford University and Imperial College London, showing promise in areas like liver fibrosis research.

@webthreeth
xAI Makes Grok 3 Free for Everyone: Unlock the Power of AI by trying new features


xAI announced via a post on X that Grok 3, described as "the world’s smartest AI," is now available for free to all users—until the servers melt, as humorously noted in the post. The post also highlights that X Premium+ and SuperGrok users will enjoy increased access to Grok 3, along with early access to advanced features like Voice Mode.

Trained on xAI’s Colossus supercomputer, which utilizes over 200,000 GPUs and 10 times the computing power of its predecessor, Grok 3, Grok 2, the model features advanced reasoning modes like "Think" and "Big Brain," as well as a new DeepSearch tool for real-time research and summarization.

@webthreeth
Majorana 1 Chip Unveiled: Microsoft Harnesses Fourth State of Matter for Quantum Leap Forward


The Majorana 1 chip, unveiled by Microsoft on February 19, 2025, marks a revolutionary step in quantum computing by introducing topological qubits that rely on a newly created fourth state of matter. Developed using advanced materials known as topoconductors, this quantum processing unit harnesses this exotic state—beyond the familiar solid, liquid, and gas—to enable smaller, faster, and more stable qubits.

The quantum processing unit is designed to be smaller, faster, and more stable than previous qubit technologies, addressing long-standing challenges like error rates and scalability in quantum systems. Named after physicist Ettore Majorana, the chip harnesses exotic quasiparticles to create a robust computational framework, potentially enabling the development of a million-qubit processor.

@webthreeth