AI Safety Level Framework by Anthropic

The AI Safety Level (ASL) framework categorizes AI systems based on their potential for catastrophic risk. ASL-1 includes systems with no meaningful risk, such as a 2018 language model or an AI that only plays chess. ASL-2 covers systems with early signs of dangerous capabilities—like giving instructions on bioweapon creation—but where the information lacks reliability or isn’t more harmful than what’s already accessible through a search engine; current large language models, including Claude, fall into this category.

ASL-3 involves systems that significantly increase the risk of catastrophic misuse compared to traditional sources like search engines or textbooks, or that display early autonomous behaviors. ASL-4 and ASL-5+ have not yet been clearly defined, as they represent future, more advanced systems likely to exhibit a qualitative leap in misuse potential and autonomous capability.

Today, we are having the first ASL-3 level AI from Anthropic.

@webthreeth

Stargate UAE: A 1-GW AI Superhub

Stargate UAE is a joint initiative by OpenAI, Oracle, NVIDIA, Cisco, and SoftBank Group Corp. to build a 1-gigawatt high-performance computing facility at the center of the planned 5-GW UAE–US AI Campus. Purpose-built for the most demanding AI workloads, the hub will supply massive computational power to accelerate breakthroughs in healthcare, energy, finance, and advanced research, making the region a key global node for next-generation artificial-intelligence innovation. Under the partnership, the UAE will become the first country in the world to enable ChatGPT nationwide, giving people across the country the ability to access OpenAI's technology. Stargate UAE has the potential to provide AI infrastructure and compute capacity within a 2,000-mile radius, reaching up to half the world’s population.

@webthreeth

Anthropic Unveils Claude 4 Opus and Sonnet Models

Anthropic launched Claude 4 Opus and Claude 4 Sonnet, two advanced AI models designed to push the boundaries of coding and agentic tasks. Claude 4 Opus excels in complex, long-duration coding projects, capable of autonomously handling tasks that take humans up to seven hours, while Claude 4 Sonnet offers frontier performance for practical AI use cases. Cursor, an AI-powered code editor, announced the integration of Anthropic's Claude Sonnet 4 model on May 22, 2025, just 11 minutes after Anthropic's release.

አንትሮፒክ የተባለ ድርጅት፣ የኮዲንግ እና የተወካይ ተግባራትን ወሰን ለማስፋት ታስበው የተሰሩ ሁለት የተራቀቁ የሰው ሰራሽ የማሰብ ችሎታ ሞዴሎችን ማለትም ክላውድ 4 ኦፐስ (Claude 4 Opus) እና ክላውድ 4 ሶኔት (Claude 4 Sonnet) በተከታታይ የቀጥታ ስርጭቶች ይፋ አድርጓል። ክላውድ 4 ኦፐስ ውስብስብ እና ረጅም ጊዜ የሚወስዱ የኮዲንግ ፕሮጀክቶችን በማከናወን የላቀ ሲሆን፣ ሰዎች እስከ ሰባት ሰዓት ሊወስድባቸው የሚችሉ ተግባራትን በራሱ የማስተናገድ ችሎታ አለው። ከርሰር (Cursor) የተባለ በሰው ሰራሽ የማሰብ ችሎታ የሚንቀሳቀስ የኮድ አርታኢ፣ አንትሮፒክ ይፋ ካደረገ ከ11 ደቂቃዎች በኋላ፣ የአንትሮፒክን ክላውድ ሶኔት 4 ሞዴል ማካተቱን አስታውቋል::

@webthreeth

All of this is done by Veo3, according to Ehud AI Studio. It is in Amharic Videos.

Full Video - https://youtu.be/DXF-mnlvlEE?si=xBd9PL4j9xvaebuU

Wow. Especially the audio part is already done very well
@webthreeth

Seifu on EBS by Veo3

Source - Abenezer Alemayhu (Ehud AI Studio)

Join the channel - @webthreeth

AI Approaches Human-Level Math on FrontierMath Benchmark

A recent competition at MIT, highlighted by Epoch AI, showcased the o4-mini-medium AI model outperforming most human teams on FrontierMath.O4-mini solved 22% of the problems, exceeding the average human team's score of 19%. While o4-mini outperformed all but two of the eight human teams of mathematicians and undergraduates, the combined human score across all teams reached 35%, suggesting AI has not yet fully surpassed human capabilities. However, Epoch AI anticipates that AI could achieve superhuman performance on FrontierMath by the end of 2025.

በቅርቡ በማሳቹሴትስ የቴክኖሎጂ ኢንስቲትዩት (MIT) በተካሄደና በኢፖክ ኤአይ (Epoch AI) ትኩረት በተሰጠው ውድድር፣ “ኦ4-ሚኒ-ሚዲየም” (o4-mini-medium) የተሰኘው የሰው ሰራሽ አስተውሎት ሞዴል በፍሮንትየርማዝ (FrontierMath) ላይ ከአብዛኞቹ የሰው ቡድኖች የተሻለ ውጤት አስመዝግቧል። ፍሮንትየርማዝ ውስብስብ እና አዲስ ዓይነት የሂሳብ ችግሮችን መፍታትን የሚለካ መድረክ ነው። "o4-mini-medium" ከቀረቡት ችግሮች ውስጥ 22 በመቶውን መፍታት የቻለ ሲሆን፣ ይህም በውድድሩ የተሳተፉ የሰው ቡድኖች ካስመዘገቡት አማካይ 19 በመቶ ውጤት ይበልጣል።

@webthreeth

AI Search Tools Erode Google’s Market Share

In March 2025, Google’s global search market share dropped to 89.71%—its lowest since 2015—according to Statcounter. This decline reflects a significant shift as users increasingly prefer AI-powered search tools like xAI’s Grok, ChatGPT, and Perplexity. These platforms offer direct, conversational responses, outperforming traditional link-based results. Frustration with Google's ad-heavy, SEO-saturated pages has accelerated this trend, as AI tools provide faster, more personalized insights, challenging Google’s dominance in the search landscape.

በማርች 2025 የጉግል የአለማቀፍ የፍለጋ ገበያ ድርሻ ወደ 89.71% ዝቅ ብሏል—ይህም ከ2015 ወዲህ ያለው ዝቅተኛው ነው—ሲል ስታትካውንተር (Statcounter) አስታውቋል። ይህ ቅናሽ ተጠቃሚዎች እንደ ኤክስኤአይ (xAI) ግሮክ (Grok)፣ ቻትጂፒቲ (ChatGPT) እና ፐርፕሌክሲቲ (Perplexity) ያሉ በሰው ሰራሽ የማሰብ ችሎታ (AI) የሚሰሩ የፍለጋ መሳሪያዎችን በብዛት предпочитаಶಸ್ በመሆናቸው የተከሰተውን ከፍተኛ ለውጥ ያሳያል። እነዚህ መድረኮች ቀጥተኛና ውይይት መሰል ምላሾችን በመስጠት ባህላዊ በሆኑ በመገናኛ አገናኞች ላይ የተመሰረቱ ውጤቶችን ይበልጣሉ።

@webthreeth

OpenAI Upgrades Operator with Advanced o3 Model

OpenAI is enhancing Operator, its autonomous AI agent capable of browsing the web and executing tasks within a cloud-hosted virtual machine, by replacing the GPT-4o-based model with a more advanced version based on the new o3 model. Known for superior performance in reasoning and math, o3 surpasses its predecessor across key benchmarks. While the Operator API will continue using GPT-4o, the upgraded "o3 Operator" has been fine-tuned with additional safety datasets to better handle decisions around confirmations and refusals.

OpenAI የተባለው ድርጅት ኦፕሬተር የተሰኘውን፣ በራሱ የሚንቀሳቀስና ድረ-ገጾችን መቃኘት እንዲሁም በክላውድ በተስተናገደ ቨርቹዋል ማሽን ውስጥ ተግባራትን ማከናወን የሚችለውን ሰው ሰራሽ አስተውሎት (AI) ወኪሉን አቅም እያሳደገ ነው። ይህንንም እያደረገ ያለው አሁን ያለውን በGPT-4o ላይ የተመሰረተ ሞዴል በአዲሱና የላቀ የማመዛዘንና የሒሳብ ችሎታ እንዳለው በሚነገርለት የo3 ሞዴል በመተካት ነው።አዲሱ o3 ሞዴል በቀዳሚው ሞዴል ላይ በተለያዩ ቁልፍ የመመዘኛ መስፈርቶች የተሻለ አፈጻጸም እንዳስመዘገበ ተገልጿል።

@webthreeth

A Five-Level Roadmap to Transformational AI

Bloomberg’s reporting on OpenAI’s vision outlines a clear, five-step progression for artificial intelligence: beginning with basic conversational chatbots (Level 1), advancing to human-level reasoners capable of complex problem solving (Level 2), then to autonomous agents that can execute tasks (Level 3). At Level 4, AI systems evolve into innovators that actively contribute to new inventions, and ultimately mature into full-scale organizational units (Level 5) able to perform the collective functions of an entire company.

የብሉምበርግ ዘገባ ስለ ኦፕንኤአይ (OpenAI) ራዕይ ሲገልጽ፣ ለአርቴፊሻል ኢንተለጀንስ (AI) ግልጽ የሆነ ባለ አምስት ደረጃ የእድገት ሂደት እንዳለው ይዘረዝራል፦ ይህም መሠረታዊ የውይይት ቻትቦቶች (ደረጃ 1) በመጀመር፣ ውስብስብ ችግሮችን መፍታት ወደሚችሉ የሰው ልጅ የማመዛዘን ደረጃ (ደረጃ 2) በማደግ፣ ከዚያም ተግባራትን በራሳቸው ማከናወን ወደሚችሉ ራሳቸውን የቻሉ ወኪሎች (ደረጃ 3) ይሸጋገራል። በደረጃ 4 ላይ፣ የ AI ስርዓቶች አዳዲስ ግኝቶችን በንቃት በማበርከት ወደ ፈጠራ ፈጣሪዎችነት ይለወጣሉ፣ እና በመጨረሻም የድርጅትን ሙሉ ተግባራት ማከናወን ወደሚችሉ ሙሉ ድርጅታዊ ክፍሎች (ደረጃ 5) ያድጋሉ።

@webthreeth

Mistral AI rolls out faster, more powerful Agents inside Le Chat

Mistral AI's update to Le Chat introduces "Agents," which are AI entities capable of utilizing all tools and connectors available in a standard chat, potentially making them the fastest agents in the industry due to their enhanced functionality and integration capabilities.

ሚስትራል ኤአይ ለ"ሌ ቻት" ያደረገው ዝመና "ኤጀንቶች" የሚባሉ አርቴፊሻል ኢንተለጀንስ አካላትን አስተዋውቋል፡፡ እነዚህ ኤጀንቶች በመደበኛ ቻት ውስጥ ያሉትን ሁሉንም መሳሪያዎች እና ማገናኛዎች የመጠቀም ችሎታ ያላቸው ሲሆን፣ በተሻሻሉ ተግባራቶቻቸው እና ውህደት ችሎታቸው ምክንያት በኢንዱስትሪው ውስጥ ፈጣን ወኪሎች ሊሆኑ ይችላሉ።

@webthreeth

Officially, Level 3 has entered for AI Evolution 🥋

Productivity Tip: Operator + Replit Agent Outperforms Replit Agent Alone

In a striking demonstration of autonomous development, Peter Gostev, Head of AI at Moonpig, handed full control of his Replit account to OpenAI’s Operator and let it work in tandem with the Replit Agent—without any manual intervention. The result was a fully built, tested, and deployed game, all achieved through AI-to-AI collaboration. What’s more compelling is that this setup performed significantly better than using the Replit Agent alone.

While the Replit Agent can build apps from prompts, it still depends on users for testing, iteration, and deployment decisions. In contrast, Operator orchestrated the full loop: prompt generation, testing feedback, iterative improvements, and final deployment. This layered agentic workflow showcases a leap in productivity and signals what’s possible when you give smart agents end-to-end autonomy.

@webthreeth

UAE Leads the Way with Free ChatGPT Plus Access for All

The United Arab Emirates (UAE) has emerged as the first country to provide free access to ChatGPT Plus, OpenAI’s premium AI chatbot, for all its citizens and residents. This groundbreaking move is part of a strategic collaboration with OpenAI and is aligned with the UAE's visionary Stargate UAE initiative. The program seeks to establish the UAE as a global leader in artificial intelligence by embedding advanced AI capabilities across key sectors such as education, healthcare, and government services.

ዩናይትድ አረብ ኤሚሬትስ (UAE) የOpenAI ፕሪሚየም AI ቻትቦት የሆነውን ChatGPT Plusን ለሁሉም ዜጎቿ እና ነዋሪዎቿ በነፃ ተደራሽ ያደረገች የመጀመሪያዋ ሀገር ሆና ብቅ ብላለች። ይህ እመርታዊ እርምጃ ከOpenAI ጋር የተደረገው ስትራቴጂካዊ ትብብር አካል ሲሆን፣ ከUAEው አርቆ አሳቢ የStargate UAE እቅድ ጋር የተጣጣመ ነው። ፕሮግራሙ እንደ ትምህርት፣ ጤና አጠባበቅ እና የመንግስት አገልግሎቶች ባሉ ቁልፍ ዘርፎች ውስጥ የላቁ የAI ችሎታዎችን በማካተት ዩናይትድ አረብ ኤሚሬትስን በአርቴፊሻል ኢንተለጀንስ የዓለም መሪ እንድትሆን ለማስቻል ይፈልጋል።

@webthreeth

Admin Thought

The agentic capabilities of the OpenAI o3 model sometimes look superhuman to me as a user. Here is a slight hope that the Government of Ethiopia follows suit like the Five Millions Coder Initiative so that this superhuman tool is available for everyone.

Google Launches AI Edge Gallery for Offline Multimodal AI on Mobile

Google has introduced the AI Edge Gallery, an open-source application that allows users to run AI models like Gemma 3 directly on Android devices, with iOS support on the horizon. Designed for offline use, the app enables multimodal AI processing without the need for an internet connection.

At its core is Gemma 3—a lightweight, mobile-optimized model based on Google's Gemini 2.0—capable of handling tasks such as image analysis and conversational AI. Key features like "Ask Image," "Prompt Lab," and "AI Chat" showcase the app’s versatility in delivering advanced AI experiences on the edge.

ቅርብ ጊዜ ጉግል የAI Edge Gallery የተሰኘ ክፍት ምንጭ የሆነ መተግበሪያ አስተዋውቋል። ይህ መተግበሪያ ተጠቃሚዎች እንደ ጄማ 3 ያሉ የAI ሞዴሎችን በቀጥታ በአንድሮይድ መሳሪያዎች ላይ እንዲያሄዱ የሚያስችል ሲሆን፣ ለiOS ድጋፍም በቅርቡ ይቀርባል። ከመስመር ውጪ ጥቅም ላይ እንዲውል ታስቦ የተሰራው ይህ መተግበሪያ የበይነመረብ ግንኙነት ሳያስፈልገው ባለብዙ-ሞዳል AI ሂደትን ያስችላል።

@webthreeth

Chapa unveils “Bilicho,” an AI chatbot that turns its dense payment-system manuals into plain answers for developers

Chapa’s in-house lab, Chapa AI Research (ChAIR), has unveiled Bilicho, a smart assistant described in a new technical report by ChAIR engineers Anwar Misbah and Israel Goytom. Built on GPT-3.5 Turbo with a retrieval layer that pulls the right snippet before it writes, Bilicho lifts answer accuracy from 70 % to 95 % and cuts developers’ search time by roughly 40 %.

የቻፓ የራሱ የጥናትና ምርምር ተቋም የሆነው ቻፓ ኤአይ ሪሰርች (Chapa AI Research - ChAIR) በድርጅቱ መሐንዲሶች አንዋር ሚስባህ እና እስራኤል ጎይቶም የተዘጋጀ የቴክኒክ ሪፖርት ይፋ አድርጓል። ሪፖርቱ “ቢሊቾ” የተሰኘ አዲስ አስተዋይ ረዳት (smart assistant) የተገለጸበት ሲሆን፣ ይህ ረዳት GPT-3.5 Turbo መሰረት አድርጎ የተገነባና ከመጻፉ በፊት ትክክለኛውን መረጃ ክፍልፋይ (snippet) መልሶ በማምጣት (retrieval layer) የመልስ ትክክለኛነትን ከ70% ወደ 95% ከፍ የሚያደርግ መሆኑ ተገልጿል። ቻፓ እንዳስታወቀው፣ ቢሊቾ የዴቨሎፐሮችን የፍለጋ ጊዜ በግምት በ40% በመቀነስ የኢንቴግሬሽን ስህተቶችን የሚቀንስ ይሆናል።

@webthreeth

DeepSeek Releases R1-0528 Update with AI Enhancements

DeepSeek announced the release of its R1-0528 update, bringing notable improvements to its large reasoning model, DeepSeek-R1. The update introduces enhanced deep reasoning capabilities, more natural and coherent language generation, and support for extended thinking sessions lasting up to 60 minutes.

DeepSeek የተባለው ኩባንያ R1-0528 የተሰኘውን አዲስ ማሻሻያ በታላቁ የማመዛዘን ሞዴሉ DeepSeek-R1 ላይ ማውጣቱን አስታውቋል። ይህ ማሻሻያ የተሻሻሉ ጥልቅ የማመዛዘን ችሎታዎችን፣ ይበልጥ ተፈጥሯዊና ወጥ የሆነ የቋንቋ አገላለጽን እንዲሁም እስከ 60 ደቂቃ የሚደርሱ የተራዘሙ የማሰብ ክፍለ ጊዜዎችን ይዞ መጥቷል።

@webthreeth

Safaricom Commits $500 Million to Bolster East Africa's AI Infrastructure

Safaricom plans to invest $500 million over the next three years to build out artificial-intelligence infrastructure across East Africa, funding new data centers, edge-computing capacity, and digital-skills programs that will let local developers create AI solutions for agriculture, healthcare, and financial services. The company says Africa must define its own AI trajectory—shifting from passive consumption to active creation—by harmonizing data and digital laws, fostering inclusive policies, and spurring private-sector innovation.

ግንባር ቀደም የቴሌኮሙኒኬሽን አገልግሎት ሰጪ የሆነው ሳፋሪኮም በቀጣዮቹ ሦስት ዓመታት የምሥራቅ አፍሪካን ሰው ሰራሽ የማሰብ ችሎታ (AI) መሠረተ ልማት ለማልማት የ500 ሚሊዮን ዶላር ግዙፍ የኢንቨስትመንት ዕቅድ ይፋ አደረገ። ይህ ፕሮጀክት አዳዲስ የመረጃ ማዕከላትን (data center) ለመገንባት፣ የዳርቻ የኮምፒውቲንግ (edge-compute) አቅምን ለማሳደግ እና የዲጂታል ክህሎት ፕሮግራሞችን ለማካሄድ የገንዘብ ድጋፍ ያደርጋል። እነዚህ ጥረቶች የአገር ውስጥ አልሚዎች እንደ ግብርና፣ ጤና አጠባበቅ እና የገንዘብ አገልግሎቶች ባሉ ቁልፍ ዘርፎች ላይ ያተኮሩ የፈጠራ AI መፍትሔዎችን እንዲፈጥሩ ለማስቻል ያለሙ ናቸው።

@webthreeth

Benchmark Results of DeepSeek R1 – Open-Source Giant Strikes Again

DeepSeek-R1-0528 across six diverse evaluation datasets compared to major models like OpenAI-o3, Gemini-2.5-Pro-0506, and Qwen3-235B. DeepSeek-R1-0528 leads in mathematical reasoning tasks, ranking first in both AIME 2024 (91.4%) and AIME 2025 (87.5%), demonstrating exceptional strength in competitive math domains.

It also performs competitively in general question answering (GPQA Diamond) and coding (LiveCodeBench), although it slightly trails OpenAI-o3 in those benchmarks. While OpenAI-o3 dominates in agentic and reasoning-heavy tasks like Aider and Humanity’s Last Exam, DeepSeek-R1-0528 remains a close contender and significantly outperforms other open-source models, including its earlier version.

@webthreeth

I tried the model last night, and although it isn't an O3 Level for me, it is still very good and mimics it in a very good way. I wouldn't know if it had OpenAI UI.

Should I rewrite it in Amharic? The above post?

https://www.linkedin.com/feed/update/urn:li:activity:7333940258956357632/

I did a long-deep dive on what makes DeepSeek results very impressive in the lens of Organizational Efficiency plus Dynamic Capability Theory. You can read it, as it is around a page long in LinkedIn. You will love the POV of the article very much. Should I continue doing long contents like this one as well?