S&P 500 Steals Bitcoin’s Thunder: Volatility Surges Amid Tariff Turmoil
The S&P 500’s 10-day historical volatility spiking to 76.8%, outstripping Bitcoin’s 72.9%, marks a rare moment where traditional markets have eclipsed the crypto world’s notorious price swings, as reported by Bloomberg. ETF analysts emphasize that typical volatility for the S&P 500 lingers between 10–15%, making this jump a significant deviation from the norm.
The catalyst appears to be fresh trade tariffs imposed by President Trump’s administration, particularly a hefty 145% duty on Chinese imports, which has sent shockwaves through global markets. This policy, coupled with China’s retaliatory 125% tariffs on U.S. goods, has fueled uncertainty, driving wild fluctuations in stock indices.
@webthreeth
The S&P 500’s 10-day historical volatility spiking to 76.8%, outstripping Bitcoin’s 72.9%, marks a rare moment where traditional markets have eclipsed the crypto world’s notorious price swings, as reported by Bloomberg. ETF analysts emphasize that typical volatility for the S&P 500 lingers between 10–15%, making this jump a significant deviation from the norm.
The catalyst appears to be fresh trade tariffs imposed by President Trump’s administration, particularly a hefty 145% duty on Chinese imports, which has sent shockwaves through global markets. This policy, coupled with China’s retaliatory 125% tariffs on U.S. goods, has fueled uncertainty, driving wild fluctuations in stock indices.
@webthreeth
Meta's Llama 4 Maverick Misstep: Ranking Plunge Sparks AI Benchmark Controversy
Meta faced backlash after it was revealed they submitted an experimental version of their Llama 4 Maverick model, optimized for conversational flair, to the LM Arena benchmark, securing a high ranking of #2.
This version, dubbed "Llama-4-Maverick-03-26-Experimental," differed significantly from the publicly available model, which critics argued misled developers about its real-world performance. After scrutiny, LM Arena re-evaluated the unmodified Maverick model, and its ranking plummeted to 32nd, exposing discrepancies in Meta's approach.
The incident sparked debates about transparency in AI benchmarking, with some accusing Meta of gaming the system to inflate their model's standing, though Meta maintained they were merely experimenting with custom variants.
@webthreeth
Meta faced backlash after it was revealed they submitted an experimental version of their Llama 4 Maverick model, optimized for conversational flair, to the LM Arena benchmark, securing a high ranking of #2.
This version, dubbed "Llama-4-Maverick-03-26-Experimental," differed significantly from the publicly available model, which critics argued misled developers about its real-world performance. After scrutiny, LM Arena re-evaluated the unmodified Maverick model, and its ranking plummeted to 32nd, exposing discrepancies in Meta's approach.
The incident sparked debates about transparency in AI benchmarking, with some accusing Meta of gaming the system to inflate their model's standing, though Meta maintained they were merely experimenting with custom variants.
@webthreeth
OpenAI's A-SWE: The Future of Autonomous Software Engineering In Progress
On March 5, 2025, Sarah Friar, OpenAI's CFO, announced the development of 'A-SWE,' an autonomous software engineer agent capable of independently building apps, performing quality assurance, bug testing, and documentation—tasks often disliked by human engineers—potentially disrupting existing collaborative AI tools like Devin, as it functions as a standalone engineer rather than an assistant like GitHub's Copilot; this announcement, made public on April 12, 2025, aligns with OpenAI's broader AI research goals that include deep research and operator agents, though no AGI timeline was specified.
@webthreeth
On March 5, 2025, Sarah Friar, OpenAI's CFO, announced the development of 'A-SWE,' an autonomous software engineer agent capable of independently building apps, performing quality assurance, bug testing, and documentation—tasks often disliked by human engineers—potentially disrupting existing collaborative AI tools like Devin, as it functions as a standalone engineer rather than an assistant like GitHub's Copilot; this announcement, made public on April 12, 2025, aligns with OpenAI's broader AI research goals that include deep research and operator agents, though no AGI timeline was specified.
@webthreeth
Canva Unveils AI-Powered Code Generation Feature with Canva Code
Canva recently launched Canva Code, an innovative AI-powered feature that enables users to create interactive digital elements like pricing calculators, countdown timers, and educational games without coding skills, utilizing text prompts and a conversational AI interface with voice command support to generate code instantly, seamlessly integrating these creations into Canva designs such as websites, presentations, and social posts, while offering a preview panel for quick refinements, secure AI settings with customizable safeguards for organizational use, and versatile applications ranging from personal projects like dynamic itinerary builders to business tools like interactive product guides, all accessible for free to Canva Free, Pro, and Teams users with a gradual rollout planned over the coming months.
@webthreeth
Canva recently launched Canva Code, an innovative AI-powered feature that enables users to create interactive digital elements like pricing calculators, countdown timers, and educational games without coding skills, utilizing text prompts and a conversational AI interface with voice command support to generate code instantly, seamlessly integrating these creations into Canva designs such as websites, presentations, and social posts, while offering a preview panel for quick refinements, secure AI settings with customizable safeguards for organizational use, and versatile applications ranging from personal projects like dynamic itinerary builders to business tools like interactive product guides, all accessible for free to Canva Free, Pro, and Teams users with a gradual rollout planned over the coming months.
@webthreeth
MANTRA (OM) Crashes 90% in 30 Minutes: $4.5B Market Cap Vanishes in Alleged Team Dump
It has been revealed a catastrophic collapse of the MANTRA (OM) cryptocurrency, plummeting from $6.4 to $0.5 within 30 minutes, wiping out $4.5 billion in market cap after the OM team allegedly dumped 90% of the circulating supply and deleted their official Telegram group, a scenario reminiscent of the Terra-Luna crash in May 2022 where systemic reactions were triggered by Binance tweets; MANTRA, a Cosmos SDK-based blockchain focused on regulatory-compliant real-world asset (RWA) applications and once ranked #24 on CoinGecko, was a top RWA pick for some investors.
@webthreeth
It has been revealed a catastrophic collapse of the MANTRA (OM) cryptocurrency, plummeting from $6.4 to $0.5 within 30 minutes, wiping out $4.5 billion in market cap after the OM team allegedly dumped 90% of the circulating supply and deleted their official Telegram group, a scenario reminiscent of the Terra-Luna crash in May 2022 where systemic reactions were triggered by Binance tweets; MANTRA, a Cosmos SDK-based blockchain focused on regulatory-compliant real-world asset (RWA) applications and once ranked #24 on CoinGecko, was a top RWA pick for some investors.
@webthreeth
Gemini 2.5 Pro Leads in Cost-Effective Multilingual Code Completion
This benchmark highlights Gemini 2.5 Pro as the clear leader in performance-to-cost efficiency for multilingual code editing tasks. With over 70% of tasks completed correctly, it not only outperforms all other models in terms of accuracy but does so while maintaining one of the lowest total costs.
This balance between high performance and minimal cost is visually emphasized by its tall bar and small purple cost marker, setting it apart from the rest. Most other models in the benchmark cluster around the 55–65% accuracy range, yet none come close to matching Gemini’s combined accuracy and cost-effectiveness.
@webthreeth
This benchmark highlights Gemini 2.5 Pro as the clear leader in performance-to-cost efficiency for multilingual code editing tasks. With over 70% of tasks completed correctly, it not only outperforms all other models in terms of accuracy but does so while maintaining one of the lowest total costs.
This balance between high performance and minimal cost is visually emphasized by its tall bar and small purple cost marker, setting it apart from the rest. Most other models in the benchmark cluster around the 55–65% accuracy range, yet none come close to matching Gemini’s combined accuracy and cost-effectiveness.
@webthreeth
Should I do a podcast for the last week? Please like if you like the podcasts done?
👍5
Ethiopian AI-Powered Resume Platform PikCV Launched.
PikCV is an Ethiopian AI-centered resume optimization platform designed to give job seekers a competitive edge in today’s digital hiring landscape. Founded by Ethiopian entrepreneur Bemnet Girma, the platform uses advanced artificial intelligence to analyze, structure, and optimize resumes specifically for Applicant Tracking Systems (ATS), which 83% of the hiring firms use in preliminary CV checks.
PikCV’s AI engine customizes each resume based on the job description, intelligently inserting relevant keywords, formatting content for readability, and tailoring language to improve relevance and ranking. This automation eliminates guesswork and significantly boosts the chances of landing interviews. With a focus on accessibility and precision, PikCV empowers users to create professional, targeted resumes in minutes—ensuring that talent isn’t lost in the algorithm.
🔗 pikcv.com
@webthreeth
PikCV is an Ethiopian AI-centered resume optimization platform designed to give job seekers a competitive edge in today’s digital hiring landscape. Founded by Ethiopian entrepreneur Bemnet Girma, the platform uses advanced artificial intelligence to analyze, structure, and optimize resumes specifically for Applicant Tracking Systems (ATS), which 83% of the hiring firms use in preliminary CV checks.
PikCV’s AI engine customizes each resume based on the job description, intelligently inserting relevant keywords, formatting content for readability, and tailoring language to improve relevance and ranking. This automation eliminates guesswork and significantly boosts the chances of landing interviews. With a focus on accessibility and precision, PikCV empowers users to create professional, targeted resumes in minutes—ensuring that talent isn’t lost in the algorithm.
🔗 pikcv.com
@webthreeth
OpenAI's Revolutionary Reasoning Models Set to Transform Scientific Discovery (Industry Rumors)
According to rumors, OpenAI's upcoming reasoning models are poised to revolutionize scientific discovery by independently generating novel ideas across disciplines—a capability once exclusive to humans—with early tests at Argonne National Laboratory slashing experiment design time from days to hours, and future integration with AI agents controlling simulators or robots promising to accelerate hypothesis testing, though their $20,000 monthly price tag raises accessibility concerns for the technology that targets Fortune 500 companies in fields like material and drug discovery.
@webthreeth
According to rumors, OpenAI's upcoming reasoning models are poised to revolutionize scientific discovery by independently generating novel ideas across disciplines—a capability once exclusive to humans—with early tests at Argonne National Laboratory slashing experiment design time from days to hours, and future integration with AI agents controlling simulators or robots promising to accelerate hypothesis testing, though their $20,000 monthly price tag raises accessibility concerns for the technology that targets Fortune 500 companies in fields like material and drug discovery.
@webthreeth
OpenAI Unveils GPT-4.1 Family: A Leap in Coding and Long-Context AI for Developers
Sam Altman has announced the release of the GPT-4.1 family, including GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano, exclusively through OpenAI's API channels and not through OpenAI ChatBot.
These models boast significant improvements in coding, instruction following, and long-context comprehension, supporting up to 1 million tokens—equivalent to roughly 750,000 words, far surpassing GPT-4's 32,000-token limit. With a focus on real-world utility rather than just benchmark scores, OpenAI aims to empower developers, who have already expressed satisfaction with the models' performance on private tests.
However, the API-only access has sparked curiosity among users, with some questioning the absence of in-app availability, potentially reflecting OpenAI's strategic resource management following past demand challenges with models like ChatGPT.
@webthreeth
Sam Altman has announced the release of the GPT-4.1 family, including GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano, exclusively through OpenAI's API channels and not through OpenAI ChatBot.
These models boast significant improvements in coding, instruction following, and long-context comprehension, supporting up to 1 million tokens—equivalent to roughly 750,000 words, far surpassing GPT-4's 32,000-token limit. With a focus on real-world utility rather than just benchmark scores, OpenAI aims to empower developers, who have already expressed satisfaction with the models' performance on private tests.
However, the API-only access has sparked curiosity among users, with some questioning the absence of in-app availability, potentially reflecting OpenAI's strategic resource management following past demand challenges with models like ChatGPT.
@webthreeth
AI and Crypto News_ April 7-13.wav
27.9 MB
Here is this week episode about the AI and Cryptocurrency market over the past week.
Episode #2
Episode #2
👍3
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
👏1
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.
📌Level 1(Chatbots/Conversational AI) - This system proficient in natural language understanding like ChatGPT.
📌Level 2 (Reasoners) - It introduces basic problem-solving abilities akin to those of a highly educated human, with signs of emerging reasoning without external tools.
📌Level 3 (Agents) - It describes autonomous systems capable of managing complex tasks.
📌Level 4 (Innovators) - It marks AI that contributes meaningfully to creativity and discovery, generating novel ideas or driving technological breakthroughs. At the pinnacle,
📌Level 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.
📌Level 1(Chatbots/Conversational AI) - This system proficient in natural language understanding like ChatGPT.
📌Level 2 (Reasoners) - It introduces basic problem-solving abilities akin to those of a highly educated human, with signs of emerging reasoning without external tools.
📌Level 3 (Agents) - It describes autonomous systems capable of managing complex tasks.
📌Level 4 (Innovators) - It marks AI that contributes meaningfully to creativity and discovery, generating novel ideas or driving technological breakthroughs. At the pinnacle,
📌Level 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
👍1
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.
🔗- 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.
🔗- https://github.com/microsoft/Codex-CLI
@webthreeth