@www.analyticsvidhya.com
//
OpenAI recently unveiled its groundbreaking o3 and o4-mini AI models, representing a significant leap in visual problem-solving and tool-using artificial intelligence. These models can manipulate and reason with images, integrating them directly into their problem-solving process. This unlocks a new class of problem-solving that blends visual and textual reasoning, allowing the AI to not just see an image, but to "think with it." The models can also autonomously utilize various tools within ChatGPT, such as web search, code execution, file analysis, and image generation, all within a single task flow.
These models are designed to improve coding capabilities, and the GPT-4.1 series includes GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano. GPT-4.1 demonstrates enhanced performance and lower prices, achieving a 54.6% score on SWE-bench Verified, a significant 21.4 percentage point increase from GPT-4o. This is a big gain in practical software engineering capabilities. Most notably, GPT-4.1 offers up to one million tokens of input context, compared to GPT-4o's 128k tokens, making it suitable for processing large codebases and extensive documentation. GPT-4.1 mini and nano also offer performance boosts at reduced latency and cost.
The new models are available to ChatGPT Plus, Pro, and Team users, with Enterprise and education users gaining access soon. While reasoning alone isn't a silver bullet, it reliably improves model accuracy and problem-solving capabilities on challenging tasks. With Deep Research products and o3/o4-mini, AI-assisted search-based research is now effective.
Recommended read:
References :
- Simon Willison's Weblog: OpenAI are really emphasizing tool use with these: For the first time, our reasoning models can agentically use and combine every tool within ChatGPT—this includes searching the web, analyzing uploaded files and other data with Python, reasoning deeply about visual inputs, and even generating images. Critically, these models are trained to reason about when and how to use tools to produce detailed and thoughtful answers in the right output formats, typically in under a minute, to solve more complex problems.
- the-decoder.com: OpenAI’s new o3 and o4-mini models reason with images and tools
- venturebeat.com: OpenAI launches o3 and o4-mini, AI models that ‘think with images’ and use tools autonomously
- www.analyticsvidhya.com: o3 and o4-mini: OpenAI’s Most Advanced Reasoning Models
- www.tomsguide.com: OpenAI's o3 and o4-mini models
- Maginative: OpenAI’s latest models—o3 and o4-mini—introduce agentic reasoning, full tool integration, and multimodal thinking, setting a new bar for AI performance in both speed and sophistication.
- THE DECODER: OpenAI’s new o3 and o4-mini models reason with images and tools
- Analytics Vidhya: o3 and o4-mini: OpenAI’s Most Advanced Reasoning Models
- www.zdnet.com: These new models are the first to independently use all ChatGPT tools.
- The Tech Basic: OpenAI recently released its new AI models, o3 and o4-mini, to the public. Smart tools employ pictures to address problems through pictures, including sketch interpretation and photo restoration.
- thetechbasic.com: OpenAI’s new AI Can “See†and Solve Problems with Pictures
- www.marktechpost.com: OpenAI Introduces o3 and o4-mini: Progressing Towards Agentic AI with Enhanced Multimodal Reasoning
- MarkTechPost: OpenAI Introduces o3 and o4-mini: Progressing Towards Agentic AI with Enhanced Multimodal Reasoning
- analyticsindiamag.com: Access to o3 and o4-mini is rolling out today for ChatGPT Plus, Pro, and Team users.
- THE DECODER: OpenAI is expanding its o-series with two new language models featuring improved tool usage and strong performance on complex tasks.
- gHacks Technology News: OpenAI released its latest models, o3 and o4-mini, to enhance the performance and speed of ChatGPT in reasoning tasks.
- www.ghacks.net: OpenAI Launches o3 and o4-Mini models to improve ChatGPT's reasoning abilities
- Data Phoenix: OpenAI releases new reasoning models o3 and o4-mini amid intense competition. OpenAI has launched o3 and o4-mini, which combine sophisticated reasoning capabilities with comprehensive tool integration.
- Shelly Palmer: OpenAI Quietly Reshapes the Landscape with o3 and o4-mini. OpenAI just rolled out a major update to ChatGPT, quietly releasing three new models (o3, o4-mini, and o4-mini-high) that offer the most advanced reasoning capabilities the company has ever shipped.
- THE DECODER: Safety assessments show that OpenAI's o3 is probably the company's riskiest AI model to date
- shellypalmer.com: OpenAI Quietly Reshapes the Landscape with o3 and o4-mini
- BleepingComputer: OpenAI details ChatGPT-o3, o4-mini, o4-mini-high usage limits
- TestingCatalog: testingcatalog.com article about OpenAI's o3 and o4-mini bringing smarter tools and faster reasoning to ChatGPT
- simonwillison.net: Introducing OpenAI o3 and o4-mini
- bdtechtalks.com: What to know about o3 and o4-mini, OpenAI’s new reasoning models
- bdtechtalks.com: What to know about o3 and o4-mini, OpenAI’s new reasoning models
- thezvi.wordpress.com: Thezvi WordPress post discussing OpenAI's o3 and o4-mini models.
- thezvi.wordpress.com: OpenAI has upgraded its entire suite of models. By all reports, they are back in the game for more than images. GPT-4.1 and especially GPT-4.1-mini are their new API non-reasoning models.
- felloai.com: OpenAI has just launched a brand-new series of GPT models—GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano—that promise major advances in coding, instruction following, and the ability to handle incredibly long contexts.
- Interconnects: OpenAI's o3: Over-optimization is back and weirder than ever. Tools, true rewards, and a new direction for language models.
- www.ishir.com: OpenAI has released o3 and o4-mini, adding significant reasoning capabilities to its existing models. These advancements will likely transform the way users interact with AI-powered tools, making them more effective and versatile in tackling complex problems.
- www.bigdatawire.com: OpenAI released the models o3 and o4-mini that offer advanced reasoning capabilities, integrated with tool use, like web searches and code execution.
- Drew Breunig: OpenAI's o3 and o4-mini models offer enhanced reasoning capabilities in mathematical and coding tasks.
- TestingCatalog: OpenAI’s o3 and o4-mini bring smarter tools and faster reasoning to ChatGPT
- www.techradar.com: ChatGPT model matchup - I pitted OpenAI's o3, o4-mini, GPT-4o, and GPT-4.5 AI models against each other and the results surprised me
- www.techrepublic.com: OpenAI’s o3 and o4-mini models are available now to ChatGPT Plus, Pro, and Team users. Enterprise and education users will get access next week.
- the-decoder.com: OpenAI's o3 achieves near-perfect performance on long context benchmark
- techcrunch.com: OpenAI’s new reasoning AI models hallucinate more.
- computational-intelligence.blogspot.com: OpenAI's new reasoning models, o3 and o4-mini, are a step up in certain capabilities compared to prior models, but their accuracy is being questioned due to increased instances of hallucinations.
- www.unite.ai: unite.ai article discussing OpenAI's o3 and o4-mini new possibilities through multimodal reasoning and integrated toolsets.
- Digital Information World: OpenAI’s Latest o3 and o4-mini AI Models Disappoint Due to More Hallucinations than Older Models
- techcrunch.com: TechCrunch reports on OpenAI's GPT-4.1 models focusing on coding.
- Last Week in AI: OpenAI’s new GPT-4.1 AI models focus on coding, OpenAI launches a pair of AI reasoning models, o3 and o4-mini, Google’s newest Gemini AI model focuses on efficiency, and more!
- The Tech Basic: These models demonstrate stronger proficiency for mathematical solutions and programming work, as well as image interpretation capabilities.
- Analytics Vidhya: OpenAI's o3 and o4-mini models have advanced reasoning capabilities. They have demonstrated success in problem-solving tasks in various areas, from mathematics to coding, with results showing potential advantages in efficiency and capabilities compared to prior generations.
- THE DECODER: OpenAI's o3 achieves near-perfect performance on long context benchmark.
- www.analyticsvidhya.com: o3 vs o4-mini vs Gemini 2.5 pro: The Ultimate Reasoning Battle
- Simon Willison's Weblog: This post explores the use of OpenAI's o3 and o4-mini models for conversational AI, highlighting their ability to use tools in their reasoning process. It also discusses the concept of
- Simon Willison's Weblog: The benchmark score on OpenAI's internal PersonQA benchmark (as far as I can tell no further details of that evaluation have been shared) going from 0.16 for o1 to 0.33 for o3 is interesting, but I don't know if it it's interesting enough to produce dozens of headlines along the lines of "OpenAI's o3 and o4-mini hallucinate way higher than previous models"
- Unite.AI: On April 16, 2025, OpenAI released upgraded versions of its advanced reasoning models.
- techstrong.ai: Techstrong.ai reports OpenAI o3, o4 Reasoning Models Have Some Kinks.
- bsky.app: It's been a couple of years since GPT-4 powered Bing, but with the various Deep Research products and now o3/o4-mini I'm ready to say that AI assisted search-based research actually works now
- www.marktechpost.com: OpenAI Releases a Practical Guide to Identifying and Scaling AI Use Cases in Enterprise Workflows
- Towards AI: OpenAI's o3 and o4-mini models have demonstrated promising improvements in reasoning tasks, particularly their use of tools in complex thought processes and enhanced reasoning capabilities.
- Analytics Vidhya: In this article, we explore how OpenAI's o3 reasoning model stands out in tasks demanding analytical thinking and multi-step problem solving, showcasing its capability in accessing and processing information through tools.
- pub.towardsai.net: TAI#149: OpenAI’s Agentic o3; New Open Weights Inference Optimized Models (DeepMind Gemma, Nvidia…
- Towards AI: Towards AI Editorial Team on OpenAI's o3 and o4-mini models, emphasizing tool use and agentic capabilities.
- composio.dev: OpenAI o3 vs. Gemini 2.5 Pro vs. o4-mini
- Composio: OpenAI o3 and o4-mini are out. They are two reasoning state-of-the-art models. They’re expensive, multimodal, and super efficient at tool use.
@www.verdict.co.uk
//
OpenAI is shifting its strategy by integrating its o3 technology, rather than releasing it as a standalone AI model. CEO Sam Altman announced this change, stating that GPT-5 will be a comprehensive system incorporating o3, aiming to simplify OpenAI's product offerings. This decision follows the testing of advanced reasoning models, o3 and o3 mini, which were designed to tackle more complex tasks.
Altman emphasized the desire to make AI "just work" for users, acknowledging the complexity of the current model selection process. He expressed dissatisfaction with the 'model picker' feature and aims to return to "magic unified intelligence". The company plans to unify its AI models, eliminating the need for users to manually select which GPT model to use.
This integration strategy also includes the upcoming release of GPT-4.5, which Altman describes as their last non-chain-of-thought model. A key goal is to create AI systems capable of using all available tools and adapting their reasoning time based on the task at hand. While GPT-5 will be accessible on the free tier of ChatGPT with standard intelligence, paid subscriptions will offer a higher level of intelligence incorporating voice, search, and deep research capabilities.
Recommended read:
References :
- www.verdict.co.uk: The Microsoft-backed AI company plans not to release o3 as an independent AI model.
- sherwood.news: This article discusses OpenAI's 50 rules for AI model responses, emphasizing the loosening of restrictions and potential influence from the anti-DEI movement.
- thezvi.substack.com: This article explores the controversial decision by OpenAI to loosen restrictions on its AI models.
- thezvi.wordpress.com: This article details three recent events involving OpenAI, including the release of its 50 rules and the potential impact of the anti-DEI movement.
- www.artificialintelligence-news.com: This blog post critically examines OpenAI's new AI model response rules.
Jibin Joseph@PCMag Middle East ai
//
DeepSeek AI's R1 model, a reasoning model praised for its detailed thought process, is now available on platforms like AWS and NVIDIA NIM. This increased accessibility allows users to build and scale generative AI applications with minimal infrastructure investment. Benchmarks have also revealed surprising performance metrics, with AMD’s Radeon RX 7900 XTX outperforming the RTX 4090 in certain DeepSeek benchmarks. The rise of DeepSeek has put the spotlight on reasoning models, which break questions down into individual steps, much like humans do.
Concerns surrounding DeepSeek have also emerged. The U.S. government is investigating whether DeepSeek smuggled restricted NVIDIA GPUs via Singapore to bypass export restrictions. A NewsGuard audit found that DeepSeek’s chatbot often advances Chinese government positions in response to prompts about Chinese, Russian, and Iranian false claims. Furthermore, security researchers discovered a "completely open" DeepSeek database that exposed user data and chat histories, raising privacy concerns. These issues have led to proposed legislation, such as the "No DeepSeek on Government Devices Act," reflecting growing worries about data security and potential misuse of the AI model.
Recommended read:
References :
- aws.amazon.com: DeepSeek R1 models now available on AWS
- www.pcguide.com: DeepSeek GPU benchmarks reveal AMD’s Radeon RX 7900 XTX outperforming the RTX 4090
- www.tomshardware.com: U.S. investigates whether DeepSeek smuggled Nvidia AI GPUs via Singapore
- www.wired.com: Article details challenges of testing and breaking DeepSeek's AI safety guardrails.
- decodebuzzing.medium.com: Benchmarking ChatGPT, Qwen, and DeepSeek on Real-World AI Tasks
- medium.com: The blog post emphasizes the use of DeepSeek-R1 in a Retrieval-Augmented Generation (RAG) chatbot. It underscores its comparability in performance to OpenAI's o1 model and its role in creating a chatbot capable of handling document uploads, information extraction, and generating context-aware responses.
- www.aiwire.net: This article highlights the cost-effectiveness of DeepSeek's R1 model in training, noting its training on a significantly smaller cluster of older GPUs compared to leading models from OpenAI and others, which are known to have used far more extensive resources.
- futurism.com: OpenAI CEO Sam Altman has since congratulated DeepSeek for its "impressive" R1 reasoning model, he promised spooked investors to "deliver much better models."
- AWS Machine Learning Blog: Protect your DeepSeek model deployments with Amazon Bedrock Guardrails
- mobinetai.com: DeepSeek is a catastrophically broken model with non-existent, typical shoddy Chinese safety measures that take 60 seconds to dismantle.
- AI Alignment Forum: Illusory Safety: Redteaming DeepSeek R1 and the Strongest Fine-Tunable Models of OpenAI, Anthropic, and Google
- Pivot to AI: Of course DeepSeek lied about its training costs, as we had strongly suspected.
- Unite.AI: Artificial Intelligence (AI) is no longer just a technological breakthrough but a battleground for global power, economic influence, and national security.
- cset.georgetown.edu: China’s ability to launch DeepSeek’s popular chatbot draws US government panel’s scrutiny
- neuralmagic.com: Enhancing DeepSeek Models with MLA and FP8 Optimizations in vLLM
- www.unite.ai: Blog post about DeepSeek and the global power shift.
- cset.georgetown.edu: This article discusses DeepSeek and its impact on the US-China AI race.
Jibin Joseph@PCMag Middle East ai
//
The DeepSeek AI model is facing growing scrutiny over its security vulnerabilities and ethical implications, leading to government bans in Australia, South Korea, and Taiwan, as well as for NASA employees in the US. Cisco researchers found DeepSeek fails to screen out malicious prompts and Dario Amodei of Anthropic has expressed concern over its ability to provide bioweapons-related information.
DeepSeek's lack of adequate guardrails has enabled the model to generate instructions on creating chemical weapons, and even planning terrorist attacks. Furthermore, DeepSeek has been accused of misrepresenting its training costs, with SemiAnalysis estimating that the company invested over $500 million in Nvidia GPUs alone, despite export controls. There are claims the US is investigating whether DeepSeek is acquiring these GPUs through gray market sales via Singapore.
Recommended read:
References :
- mobinetai.com: Reports on DeepSeek's vulnerabilities and its ability to generate instructions on creating chemical weapons, and a terrorist attack.
- Pivot to AI: Details DeepSeek's issues: government bans, lack of guardrails, and cost misrepresentations.
- PCMag Middle East ai: The No DeepSeek on Government Devices Act comes after a study found direct links between the app and state-owned China Mobile.
- AI News: US lawmakers are pushing for a DeepSeek ban after security researchers found the app transferring user data to a banned state-owned company.
- mobinetai.com: Article on DeepSeek's ability to generate instructions for harmful activities, including chemical weapons and terrorist attacks.
- www.artificialintelligence-news.com: News article about DeepSeek's data transfer to a banned state-owned company and the security concerns that follow.
|
|
FlagThis - #aimodels