OpenAI’s new GPT-4.1 AI models focus on coding
OpenAI has released GPT-4.1, along with smaller versions GPT-4.1 Mini and Nano. These models offer significant improvements in coding capabilities, long-context comprehension (up to 1 million tokens), and instruction following. GPT-4.1 surpasses previous models, with coding performance improving by 21% compared to GPT-4o and 27% over GPT-4.5. The models are accessible exclusively via OpenAI’s API and are designed to be more effective for powering AI agents.
https://techcrunch.com/2025/04/14/openais-new-gpt-4-1-models-focus-on-coding/
OpenAI has released GPT-4.1, along with smaller versions GPT-4.1 Mini and Nano. These models offer significant improvements in coding capabilities, long-context comprehension (up to 1 million tokens), and instruction following. GPT-4.1 surpasses previous models, with coding performance improving by 21% compared to GPT-4o and 27% over GPT-4.5. The models are accessible exclusively via OpenAI’s API and are designed to be more effective for powering AI agents.
https://techcrunch.com/2025/04/14/openais-new-gpt-4-1-models-focus-on-coding/
TechCrunch
OpenAI's new GPT-4.1 AI models focus on coding | TechCrunch
OpenAI has launched a new family of models called GPT-4.1. They focus on coding, and are exclusively available through the company's API.
5 Powerful AI Prompts That Can Boost Any Business Idea
In his Forbes article, Bernard Marr outlines five AI prompts designed to enhance various aspects of business development. These prompts assist in validating ideas, generating personalized business plans, crafting customer emails, and developing branding strategies.
https://www.forbes.com/sites/bernardmarr/2025/04/15/5-powerful-ai-prompts-that-can-boost-any-business-idea/
In his Forbes article, Bernard Marr outlines five AI prompts designed to enhance various aspects of business development. These prompts assist in validating ideas, generating personalized business plans, crafting customer emails, and developing branding strategies.
https://www.forbes.com/sites/bernardmarr/2025/04/15/5-powerful-ai-prompts-that-can-boost-any-business-idea/
Forbes
5 Powerful AI Prompts That Can Boost Any Business Idea
Discover how entrepreneurs and startup founders are using AI prompts to validate ideas, write business plans, and create compelling pitches.
OpenAI debuts Codex CLI, an open source coding tool for terminals
OpenAI has released Codex CLI, a lightweight, open‑source coding agent that runs entirely in the terminal. Linked to the new o3 and o4‑mini models, it can read, write and reorganize local code, execute shell commands and even process screenshots or sketches to generate matching code—all while keeping projects on‑device; OpenAI is sweetening adoption with $1 million in API‑credit grants for open‑source projects.
https://techcrunch.com/2025/04/16/openai-debuts-codex-cli-an-open-source-coding-tool-for-terminals/
OpenAI has released Codex CLI, a lightweight, open‑source coding agent that runs entirely in the terminal. Linked to the new o3 and o4‑mini models, it can read, write and reorganize local code, execute shell commands and even process screenshots or sketches to generate matching code—all while keeping projects on‑device; OpenAI is sweetening adoption with $1 million in API‑credit grants for open‑source projects.
https://techcrunch.com/2025/04/16/openai-debuts-codex-cli-an-open-source-coding-tool-for-terminals/
TechCrunch
OpenAI debuts Codex CLI, an open source coding tool for terminals | TechCrunch
OpenAI is launching an open source tool called Codex CLI, which brings the company's AI models to local terminal software.
Don’t ask what AI can do for us, ask what it is doing to us’: are ChatGPT and co harming human intelligence?
A new piece in The Guardian raises concerns about the potential cognitive effects of widespread generative AI use. Experts warn that overreliance on tools like ChatGPT may lead to diminished critical thinking, memory, and creativity. Evidence suggests a decline in student performance in areas such as mathematics and reading, potentially linked to technological dependence. The article emphasizes the need for balanced AI use, especially in educational settings, to preserve human cognitive abilities.
https://www.theguardian.com/technology/2025/apr/19/dont-ask-what-ai-can-do-for-us-ask-what-it-is-doing-to-us-are-chatgpt-and-co-harming-human-intelligence
A new piece in The Guardian raises concerns about the potential cognitive effects of widespread generative AI use. Experts warn that overreliance on tools like ChatGPT may lead to diminished critical thinking, memory, and creativity. Evidence suggests a decline in student performance in areas such as mathematics and reading, potentially linked to technological dependence. The article emphasizes the need for balanced AI use, especially in educational settings, to preserve human cognitive abilities.
https://www.theguardian.com/technology/2025/apr/19/dont-ask-what-ai-can-do-for-us-ask-what-it-is-doing-to-us-are-chatgpt-and-co-harming-human-intelligence
the Guardian
‘Don’t ask what AI can do for us, ask what it is doing to us’: are ChatGPT and co harming human intelligence?
Recent research suggests our brain power is in decline. Is offloading our cognitive work to AI driving this trend?
AI Has Already Come for the Interns. You’re Probably Next
A report highlights that AI is increasingly automating tasks traditionally performed by interns and entry-level employees, raising concerns about future job prospects.
https://www.vanityfair.com/news/story/ai-tech-job-loss
A report highlights that AI is increasingly automating tasks traditionally performed by interns and entry-level employees, raising concerns about future job prospects.
https://www.vanityfair.com/news/story/ai-tech-job-loss
Vanity Fair
AI Has Already Come for the Interns. You’re Probably Next
New data suggest that entry-level jobs are facing an extinction-level event thanks to artificial intelligence. It’s only going to work its way up the org chart from there.
Seeing AI as a collaborator, not a creator
In the April 2025 editor’s letter from MIT Technology Review, the author explores the evolving relationship between artificial intelligence and human creativity. The piece delves into how AI is not just a tool but a collaborative partner in artistic endeavors, prompting a reevaluation of what it means to be creative in the age of intelligent machines. It raises thought-provoking questions about authorship, originality, and the future of art, emphasizing the importance of maintaining human agency and emotional depth in creative processes.
https://www.technologyreview.com/2025/04/23/1114891/editors-letter-creativity-art-ai-collaboration-humanity-technology/
In the April 2025 editor’s letter from MIT Technology Review, the author explores the evolving relationship between artificial intelligence and human creativity. The piece delves into how AI is not just a tool but a collaborative partner in artistic endeavors, prompting a reevaluation of what it means to be creative in the age of intelligent machines. It raises thought-provoking questions about authorship, originality, and the future of art, emphasizing the importance of maintaining human agency and emotional depth in creative processes.
https://www.technologyreview.com/2025/04/23/1114891/editors-letter-creativity-art-ai-collaboration-humanity-technology/
MIT Technology Review
Seeing AI as a collaborator, not a creator
The key to artistic achievement isn’t about technology but the way artists apply it to express our humanity.
Will the Humanities Survive Artificial Intelligence? – The New Yorker
This essay explores how AI tools like ChatGPT are reshaping higher education and the humanities. The author discusses initial resistance to AI in academic settings and how, through classroom experiments, AI revealed its potential to aid research and catalyze profound intellectual engagement. The piece concludes with a hopeful vision that confronting the AI revolution might help rediscover the true essence of the humanities.
https://www.newyorker.com/culture/the-weekend-essay/will-the-humanities-survive-artificial-intelligence
This essay explores how AI tools like ChatGPT are reshaping higher education and the humanities. The author discusses initial resistance to AI in academic settings and how, through classroom experiments, AI revealed its potential to aid research and catalyze profound intellectual engagement. The piece concludes with a hopeful vision that confronting the AI revolution might help rediscover the true essence of the humanities.
https://www.newyorker.com/culture/the-weekend-essay/will-the-humanities-survive-artificial-intelligence
The New Yorker
Will the Humanities Survive Artificial Intelligence?
Maybe not as we’ve known them. But, in the ruins of the old curriculum, something vital is stirring.
The Art of Intelligence – The Atlantic
The Atlantic explores how artists are using AI not as a replacement, but as a collaborator—expanding what’s possible in art, design, and storytelling. A fresh look at the intersection of human imagination and machine intelligence.
https://www.theatlantic.com/sponsored/google/the-art-of-intelligence/3887
The Atlantic explores how artists are using AI not as a replacement, but as a collaborator—expanding what’s possible in art, design, and storytelling. A fresh look at the intersection of human imagination and machine intelligence.
https://www.theatlantic.com/sponsored/google/the-art-of-intelligence/3887
The Atlantic
The Art of Intelligence
In the realm of fine art, the introduction of artificial intelligence prompts a compelling question: How might technology enhance, rather than replace, the artist's touch?
Why This Artist Isn’t Afraid of AI’s Role in the Future of Art – TIME
Panamanian photographer Dahlia Dreszer embraces AI as a transformative tool in art. In her Miami exhibition, she showcases works created using both traditional methods and AI-generated techniques, highlighting AI as a “supercharger” of creativity rather than a replacement.
https://time.com/7282582/ai-art-dahlia-dreszer-interview/
Panamanian photographer Dahlia Dreszer embraces AI as a transformative tool in art. In her Miami exhibition, she showcases works created using both traditional methods and AI-generated techniques, highlighting AI as a “supercharger” of creativity rather than a replacement.
https://time.com/7282582/ai-art-dahlia-dreszer-interview/
TIME
Why This Artist Isn’t Afraid of AI’s Role in the Future of Art
Miami-based artist Dahlia Dreszer isn't worried about AI's effect on art—in fact, she's ecstatic about it.
“You’ll NEVER Watch Movies the Same Again — And AI Is Why” | Andy Weir Interview
In this thought-provoking interview, bestselling sci-fi author Andy Weir (The Martian) explores how artificial intelligence is revolutionizing the film industry. From AI-generated visuals to new storytelling possibilities, Weir discusses the transformative power of this technology and what it means for the future of movies.
A must-watch for anyone interested in the intersection of cinema, creativity, and AI.
Watch the full interview
In this thought-provoking interview, bestselling sci-fi author Andy Weir (The Martian) explores how artificial intelligence is revolutionizing the film industry. From AI-generated visuals to new storytelling possibilities, Weir discusses the transformative power of this technology and what it means for the future of movies.
A must-watch for anyone interested in the intersection of cinema, creativity, and AI.
Watch the full interview
YouTube
"You’ll NEVER Watch Movies the Same Again — And AI Is Why” Best Selling Sci Fi Writer: Andy Weir
Netsuite: Download the CFO’s Guide to AI and Machine Learning at https://impacttheory.co/NetsuiteMay
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ITU: Ready to breakthrough your biggest business bottleneck? Apply to work with me 1:1 - https://impacttheory.co/SCALE
Do you need my help?
STARTING a business:…
Tall Tales is a Critique of AI — So Why Do People Think It Was Made with AI? – The Verge
This collaborative audiovisual project by Jonathan Zawada, Mark Pritchard, and Thom Yorke critiques contemporary life through a surreal blend of CGI and real-world footage. Despite being largely handcrafted, viewers mistakenly believed it was AI-generated, leading to discussions about authenticity and the impact of AI on art perception.
https://www.theverge.com/film/664120/tall-tales-is-a-critique-of-ai-so-why-do-people-think-it-was-made-with-ai
This collaborative audiovisual project by Jonathan Zawada, Mark Pritchard, and Thom Yorke critiques contemporary life through a surreal blend of CGI and real-world footage. Despite being largely handcrafted, viewers mistakenly believed it was AI-generated, leading to discussions about authenticity and the impact of AI on art perception.
https://www.theverge.com/film/664120/tall-tales-is-a-critique-of-ai-so-why-do-people-think-it-was-made-with-ai
The Verge
Tall Tales is a critique of AI — so why do people think it was made with AI?
How a Thom Yorke side project came to be.
No, Graduates: AI Hasn’t Ended Your Career Before It Starts – Wired
In a commencement address, tech journalist Steven Levy reassures liberal arts graduates that AI cannot replicate the uniquely human qualities of empathy, consciousness, and authentic creativity. He emphasizes that while AI may alter the labor landscape, it cannot replace the emotional resonance of human-created art and ideas.
https://www.wired.com/story/plaintext-commencement-speech-artificial-intelligence/
In a commencement address, tech journalist Steven Levy reassures liberal arts graduates that AI cannot replicate the uniquely human qualities of empathy, consciousness, and authentic creativity. He emphasizes that while AI may alter the labor landscape, it cannot replace the emotional resonance of human-created art and ideas.
https://www.wired.com/story/plaintext-commencement-speech-artificial-intelligence/
WIRED
No, Graduates: AI Hasn't Ended Your Career Before It Starts
In a commencement speech at Temple University, I shared my views on how new college graduates can compete with powerful artificial intelligence.
Hao’s Empire: Inside OpenAI’s Quest to Control the Future – MIT Technology Review
Investigative feature by Karen Hao explores OpenAI’s transformation from a nonprofit lab into a powerful AI empire. The article examines how OpenAI’s leadership, vision, and commercial partnerships have reshaped the global AI race—raising critical questions about control, transparency, and the ethics of concentrating such transformative power in the hands of one organization.
https://www.technologyreview.com/2025/05/19/1116614/hao-empire-ai-openai/
Investigative feature by Karen Hao explores OpenAI’s transformation from a nonprofit lab into a powerful AI empire. The article examines how OpenAI’s leadership, vision, and commercial partnerships have reshaped the global AI race—raising critical questions about control, transparency, and the ethics of concentrating such transformative power in the hands of one organization.
https://www.technologyreview.com/2025/05/19/1116614/hao-empire-ai-openai/
MIT Technology Review
Inside the story that enraged OpenAI
In 2019, Karen Hao, a senior reporter with MIT Technology Review, pitched writing a story about a then little-known company, OpenAI. This is what happened next.
“The AI Con” by Emily M. Bender and Alex Hanna – The Guardian
This review discusses the book “The AI Con”, which critically examines the inflated promises surrounding artificial intelligence. The authors argue that what is marketed as AI—particularly large language models like ChatGPT—lacks genuine understanding and often produces plagiarized or inaccurate content. They raise ethical concerns about job losses in creative industries and the erosion of critical thinking caused by AI-generated content dominating search results.
https://www.theguardian.com/books/2025/may/19/the-ai-con-by-emily-m-bender-and-alex-hanna-review-debunking-myths-of-the-ai-revolution
This review discusses the book “The AI Con”, which critically examines the inflated promises surrounding artificial intelligence. The authors argue that what is marketed as AI—particularly large language models like ChatGPT—lacks genuine understanding and often produces plagiarized or inaccurate content. They raise ethical concerns about job losses in creative industries and the erosion of critical thinking caused by AI-generated content dominating search results.
https://www.theguardian.com/books/2025/may/19/the-ai-con-by-emily-m-bender-and-alex-hanna-review-debunking-myths-of-the-ai-revolution
the Guardian
The AI Con by Emily M Bender and Alex Hanna review – debunking myths of the AI revolution
Will new technology help to make the world a better place, or is AI just another tech bubble that will benefit the few?
“Let’s Talk About ChatGPT and Cheating in the Classroom” – WIRED
This podcast episode explores the growing impact of AI tools like ChatGPT on education. It discusses how students are using generative AI to research, write papers, and improve grades—often blurring the line between efficiency and academic dishonesty. The hosts advocate for AI literacy and ethics education to navigate the opportunities and risks posed by generative AI in academia.
https://www.wired.com/story/uncanny-valley-podcast-chatgpt-cheating-in-the-classroom/
This podcast episode explores the growing impact of AI tools like ChatGPT on education. It discusses how students are using generative AI to research, write papers, and improve grades—often blurring the line between efficiency and academic dishonesty. The hosts advocate for AI literacy and ethics education to navigate the opportunities and risks posed by generative AI in academia.
https://www.wired.com/story/uncanny-valley-podcast-chatgpt-cheating-in-the-classroom/
WIRED
Let's Talk About ChatGPT and Cheating in the Classroom
Today on "Uncanny Valley," we address one of the most pressing questions in education right now: What constitutes cheating at school in today’s world of AI?
Trends: Artificial Intelligence (2025) – BOND Capital
Mary Meeker, once dubbed the “Queen of the Internet,” has returned with her first major trends report since 2019, this time focusing on the transformative impact of artificial intelligence. Her 340-page document, “Trends – Artificial Intelligence,” offers a comprehensive analysis of AI’s rapid evolution and its implications for the global tech landscape.
Here’s a concise summary of the key insights from Mary Meeker’s report:
AI adoption is unprecedented
ChatGPT reached 800 million weekly users in just 17 months — faster than any major tech product before it. AI adoption is happening at internet/smartphone speed.
Work is being redefined
AI is automating repetitive tasks and enhancing expert work. Entire workflows, roles, and even business models are shifting toward “AI-native” operations.
Commoditization pressure
Foundation models are becoming cheaper and more widely available. This creates pricing pressure and forces companies to differentiate beyond raw model performance.
Open vs. closed models showdown
Countries like China and India are aggressively developing open-source AI. Openness is becoming a strategic advantage in the global AI arms race.
By 2035, AI could drive research
Meeker predicts AI will be able to formulate hypotheses, conduct scientific research, and design experiments largely on its own.
Key takeaway
“For some, the evolution of AI will create a race to the bottom; for others, a race to the top.”
For those interested in delving deeper into Meeker’s insights, the full report is available here: Trends – Artificial Intelligence (AI).
⸻
Source: BOND Capital
Mary Meeker, once dubbed the “Queen of the Internet,” has returned with her first major trends report since 2019, this time focusing on the transformative impact of artificial intelligence. Her 340-page document, “Trends – Artificial Intelligence,” offers a comprehensive analysis of AI’s rapid evolution and its implications for the global tech landscape.
Here’s a concise summary of the key insights from Mary Meeker’s report:
AI adoption is unprecedented
ChatGPT reached 800 million weekly users in just 17 months — faster than any major tech product before it. AI adoption is happening at internet/smartphone speed.
Work is being redefined
AI is automating repetitive tasks and enhancing expert work. Entire workflows, roles, and even business models are shifting toward “AI-native” operations.
Commoditization pressure
Foundation models are becoming cheaper and more widely available. This creates pricing pressure and forces companies to differentiate beyond raw model performance.
Open vs. closed models showdown
Countries like China and India are aggressively developing open-source AI. Openness is becoming a strategic advantage in the global AI arms race.
By 2035, AI could drive research
Meeker predicts AI will be able to formulate hypotheses, conduct scientific research, and design experiments largely on its own.
Key takeaway
“For some, the evolution of AI will create a race to the bottom; for others, a race to the top.”
For those interested in delving deeper into Meeker’s insights, the full report is available here: Trends – Artificial Intelligence (AI).
⸻
Source: BOND Capital
Apple reveals that today’s top AI models only appear to “think” — but quickly give up when faced with complex problems.
In a new research paper, Apple tested large models like ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google) on classic logical puzzles that require step-by-step reasoning rather than memorized answers. Here’s what they found:
Benchmark Design
Apple used four classic problems with scalable difficulty: Tower of Hanoi, Blocks World, Checker Jumping, and River Crossing. This setup allowed precise measurement of how models perform as tasks get harder.
Performance Collapse
All tested models — including so-called “thinking” versions — experience a sharp drop in accuracy as complexity increases. At a certain point, they essentially fail completely.
The “Giving-Up” Phenomenon
When the problem becomes too hard, models don’t just get things wrong — they stop trying. Instead of reasoning more, they reduce the number of thinking steps and fall back on shallow guesses.
Chain-of-Thought Degradation
On easy tasks, models overthink and derail. On harder ones, they stop reasoning altogether. This shows they lack consistent strategies for thinking through problems.
Algorithm Injection Fails
Even when given a correct, step-by-step algorithm (e.g., for Tower of Hanoi), models still fail at higher difficulty levels. Knowing the method isn’t enough — they struggle to apply it.
Failure Analysis
For example, Claude-Thinking can complete around 100 correct moves in Tower of Hanoi, but breaks down after just 3 or 4 moves in River Crossing. It suggests these models don’t understand — they imitate.
Key Takeaway
Current large language models don’t truly reason. They simulate thought when the task is familiar, but collapse when it requires real adaptability.
Apple concludes: Instead of making models bigger, the next step in AI should focus on helping them reason more reliably — with dynamic thinking budgets and external planning mechanisms.
Read the full report (PDF):
The Illusion of Thinking — Apple Machine Learning Research
In a new research paper, Apple tested large models like ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google) on classic logical puzzles that require step-by-step reasoning rather than memorized answers. Here’s what they found:
Benchmark Design
Apple used four classic problems with scalable difficulty: Tower of Hanoi, Blocks World, Checker Jumping, and River Crossing. This setup allowed precise measurement of how models perform as tasks get harder.
Performance Collapse
All tested models — including so-called “thinking” versions — experience a sharp drop in accuracy as complexity increases. At a certain point, they essentially fail completely.
The “Giving-Up” Phenomenon
When the problem becomes too hard, models don’t just get things wrong — they stop trying. Instead of reasoning more, they reduce the number of thinking steps and fall back on shallow guesses.
Chain-of-Thought Degradation
On easy tasks, models overthink and derail. On harder ones, they stop reasoning altogether. This shows they lack consistent strategies for thinking through problems.
Algorithm Injection Fails
Even when given a correct, step-by-step algorithm (e.g., for Tower of Hanoi), models still fail at higher difficulty levels. Knowing the method isn’t enough — they struggle to apply it.
Failure Analysis
For example, Claude-Thinking can complete around 100 correct moves in Tower of Hanoi, but breaks down after just 3 or 4 moves in River Crossing. It suggests these models don’t understand — they imitate.
Key Takeaway
Current large language models don’t truly reason. They simulate thought when the task is familiar, but collapse when it requires real adaptability.
Apple concludes: Instead of making models bigger, the next step in AI should focus on helping them reason more reliably — with dynamic thinking budgets and external planning mechanisms.
Read the full report (PDF):
The Illusion of Thinking — Apple Machine Learning Research
Apple Machine Learning Research
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…