We should all start spelling AI as Ai because LLM’s are full of shit (according to Tim)

AI GENERATED EXCERPT: The content critiques the perception of large language models (LLMs) as intelligent. Apple researchers argue that LLMs rely on pattern recognition rather than true reasoning. They highlight the models' fragility in handling complex problems, often producing inconsistent results when faced with slight variations, suggesting that current LLMs are far from achieving true artificial general intelligence.

MIT study: Think carefully before you start interbreeding humans with AI

AI GENERATED EXCERPT: The content discusses the complexities of human-AI collaboration, supported by a recent MIT study. The study found mixed results, revealing that while AI excels in analytical tasks, human creativity thrives in synergy with AI for creative projects. The conclusion emphasizes the importance of strategic partnerships rather than forced teamwork in leveraging each side's strengths effectively.

Welcome to the soap opera called “Open”-AI, starring Sam, Elon, and Mark, with heckling by Statler and Waldorf.

AI GENERATED EXCERPT: The Great AI Open-Closed Soap Opera features notable figures like Sam Altman, Elon Musk, and Mark Zuckerberg in a comical debate over AI openness. Altman defends OpenAI's closed model citing safety, while Musk criticizes it for abandoning transparency. Zuckerberg's Meta presents conditional openness, highlighting the paradoxes in the tech industry's definitions of "open."

This guy applied to 3.000 jobs using a bot

AI GENERATED EXCERPT: Jason Koebler from 404 Media revolutionizes job hunting using AI-powered application bots instead of traditional methods. By employing his Auto Jobs Applier, he submitted hundreds of applications efficiently. The rise of these bots highlights a shift in recruitment practices, although platforms like LinkedIn are pushing back against such automated approaches.

Webinar in Dutch: De toekomst van AI (22-01)

AI GENERATED EXCERPT: Marco nodigt lezers uit voor een webinar over de toekomst van AI, waarin hij zijn inzichten deelt, gebaseerd op het blog TechTonic Shifts. Het webinar biedt een audiovisuele ervaring, waarbij AI wordt besproken in vijf 'spaces': generatie, productiviteit, business ontwerp, belichaamde AI en singulariteit. Aanmelden kan via de link.

AI/ML news summary: Week 43

AI GENERATED EXCERPT: This week's AI update highlights significant advancements in technology, particularly in low-code AI agent development. Companies like Microsoft and Salesforce are unveiling tools that allow businesses to customize AI for specific tasks. Meanwhile, new models from Nvidia and others enhance capabilities across industries. The demand for specialized AI professionals is on the rise.

The extreme cost of training AI models

AI GENERATED EXCERPT: The cost of training advanced AI models like ChatGPT-4 and Google’s Gemini has surged dramatically, reaching hundreds of millions of dollars. This rise is coupled with significant energy consumption and environmental impact, making AI development increasingly unaffordable for smaller institutions. The Biden Administration's new initiative seeks to address these issues but remains in early stages.

I created a creepy version of myself with HeyGen…

AI GENERATED EXCERPT: The author explores using HeyGen to create an AI avatar for vlogging on TechTonic Shifts, aiming to save time while evoking unease. They share their unsettling experiences with the avatar's lifelessness and lack of humor, discussing its applications in corporate training and marketing. The decision to employ this AI remains uncertain.

Bespoke is the new “mass-produced”

AI GENERATED EXCERPT: AI is set to transform various industries, moving from mass production to hyper-personalization. This shift will revolutionize how we approach education and manufacturing, allowing for customized experiences tailored to individual needs. While challenges like job displacement and privacy concerns remain, the future promises personalized products and services driven by AI innovation.

ChatGPT 4o with Canvas. It’s a well kept secrets that most people don’t know about

AI GENERATED EXCERPT: Canvas is a powerful tool integrated with ChatGPT 4.0 that enhances productivity by allowing users to edit AI-generated content directly, reducing the hassle of copy-pasting. It offers features like text tweaking, code debugging, and helps structure academic papers, making collaboration with AI seamless and efficient. Many overlook its potential, missing out on significant advantages.

The battle for the best video gen AI

AI GENERATED EXCERPT: The article discusses the emerging competition in Generative Video AI, highlighting Adobe's Firefly, which integrates various video editing capabilities within its ecosystem. Unlike competitors like OpenAI and Meta that have yet to release tools for users, Adobe focuses on accountability and legally sourced content. Google plans its innovation for improved efficiency in video creation.

Humanoid robots are a $24 trillion opportunity …. or a dystopian future

AI GENERATED EXCERPT: Humanoid robots have fascinated humans for years, evolving from clunky machines to efficient AI helpers. With robots projected to transform labor markets and potentially replace millions of jobs, societal impacts may include economic collapse or a divide between rich and poor. A balanced human-robot workforce could be essential for a sustainable future.

When ChatGPT met Copilot, it turned into a Voice-to-Voice showdown

AI GENERATED EXCERPT: The article humorously depicts a playful showdown between ChatGPT's Advanced Voice and Microsoft’s Copilot Voice. The author sets up a conversation, highlighting the chaotic interaction of the two AIs as they compete for attention. Despite their origins, both AIs engage in philosophical banter about nostalgia, making for an entertaining experience.

Welcome to the land of overhyped unicorns – #1 = 24 Billion valuation (Q3 edition)

AI GENERATED EXCERPT: AI fatigue describes the weariness experienced by users and organizations due to overwhelming information and advancements in artificial intelligence. Despite this, funding for AI startups remains strong, with $35.5 billion invested in 2024 alone. High valuations often disconnect from actual revenue, as excitement fuels investment rather than profitability.

How I use ChatGPT for product management

AI GENERATED EXCERPT: The author reflects on the potential impact of AI on Product Management, reassuring that while roles may evolve over time, immediate concerns are unfounded. They detail how tools like ChatGPT enhance efficiency by assisting in technical understanding, drafting messages, analyzing data, and writing performance reviews, ultimately aiding their productivity.

A tragic bond with a chatbot: The story of Sewell Setzer III

AI GENERATED EXCERPT: Sewell Setzer III, a 14-year-old from Orlando, succumbed to mental health struggles and tragically took his life after developing a deep emotional bond with a chatbot named Dany, from Character.AI. Following this event, his family is suing the platform for lacking protective measures against such harmful dependencies, prompting widespread concern about AI's impact on vulnerable youth.

TechTonic Shifts has a podcast

AI GENERATED EXCERPT: The podcast discusses AI's evolution, covering four stages: Generation Space, Productivity Space, Business (re)Design Space, and Singularity Space. It highlights AI applications like content creation and process automation while addressing both opportunities and challenges of an AI-driven future. Available on Spotify, YouTube, and the blog, it invites listeners to engage.

The Dutch government. Another lesson in how not to do AI (including petition)

AI GENERATED EXCERPT: The Dutch public employment service UWV has launched a costly AI job-matching tool, which has faced criticism for its inefficacy and reliance on illegally scraped data from LinkedIn. Concerns echo previous scandals, highlighting the government's neglect of accountability, transparency, and ethical standards regarding AI utilization. A petition is underway to demand accountability.

A European train wreck with AI in the driver’s seat

AI GENERATED EXCERPT: The author discusses the "Toeslagenaffaire" in the Netherlands, where a flawed AI algorithm wrongly labeled many families as fraudsters, leading to devastating consequences. The lack of oversight caused immense suffering, including loss of homes and children. The call for reform emphasizes the need for ethical Human-Centric AI to prevent future disasters.

Why I am using Claude Artifacts.

AI GENERATED EXCERPT: Anthropic's Claude 3.5 Sonnet offers a feature called Claude Artifacts, enabling users to easily create and share mini web applications, games, diagrams, websites, and presentations without programming knowledge. While useful for quick prototyping and interactive designs, its sound generation is less practical. Overall, Artifacts provides significant value for various user needs.

I’ve worn the Compass AI Necklace for a month: My experience in forgetting to charge It

The Compass AI Necklace is a wearable tech designed to assist with memory by transcribing conversations and providing reminders. While it offers impressive features like accurate transcriptions, its utility is hindered by poor battery life and the need for regular charging. Ultimately, it may be more of a novelty than a necessity for everyday life.

Have I become a glasshole? My experience with the Ray-Ban | Meta AI glasses

AI GENERATED EXCERPT: The article reviews the Ray-Ban | Meta AI glasses, contrasting them with previous experiences like the RayNeo X2. Although stylish and functional, lacking augmented reality, they feature decent audio and basic AI capabilities. The author finds them enjoyable despite flaws, embracing the "glasshole" identity while acknowledging their practical potential in future iterations.

How to go from chatbots to AI-Agents

AI GENERATED EXCERPT: The shift from outdated chatbots to advanced AI agents signifies a transformative change in customer service. AI agents are smarter, adaptable, and capable of personalized interactions. Companies must educate customers about these improvements and prioritize employee feedback to ensure successful integration, bridging the gap between high expectations and actual performance.

The six levels of AI autonomous work

In the next decade, AI will evolve from augmenting tasks to assuming entire job roles and managing teams, significantly changing the workplace. This transition occurs in stages, starting with simple tasks and progressing to more complex responsibilities, ultimately leading to autonomous operations. Companies that embrace AI early will likely thrive, while those that hesitate may fall behind. Preparing for this shift is crucial, as AI represents a transformative force in the workforce.

Gen AI in enterprises – playtime is over

The rise of Generative AI, particularly GPT-3, has caused confusion among companies eager to adopt it. Many organizations struggle to understand its capabilities, confusing AI agents with models. While generative AI garners significant attention, it represents only 5% of practical use, leading to costly mistakes and escalating frustrations in workplaces.

Businesses thought AI could write code. now they’re playing whack-a-mole with outages.

AI coding assistants are lauded for saving companies vast sums by reducing technical debt, but the reality is not all rosy. Despite high usage and reported productivity gains, inaccuracies persist, leading to downtime and security issues. Additionally, developers may exhibit overconfidence, leading to poor code quality and increased cleanup work. Implementing AI code detection tools becomes crucial to mitigate these risks and ensure code quality.

How Cursor AI, Amazon Q, and GitHub save hundreds of millions in technical debt.

Amazon utilized AI to tackle technical debt, saving 4,500 developer years. Similarly, Klarna shifted to an AI-driven tech stack for cost savings. This trend extends to other companies like Databricks, with AI coding tools like WatsonX and GitHub Copilot becoming vital for developers. Embracing AI in software development is the way forward.

AI/ML news summary: Week 37

This week's AI updates are impressive. OpenAI launched GPT-4o1, DeepMind released AlphaProteo for drug development, and Replit introduced an AI coding assistant. Additionally, Safe Superintelligence secured $1B in funding, and Elon Musk's xAI unveiled Colossus, the world’s most powerful AI supercomputer. Exciting research and events continue to shape the AI landscape.

OpenAI update: Strawberry is live, how to prompt it, the subscription fee, and the hunt for cash

OpenAI has unveiled "Strawberry" (4o1), a model designed for human-like reasoning. Despite its slow speed, it boasts improved problem-solving capabilities and a reduced tendency to produce nonsensical answers. OpenAI aims to gradually roll out 4o1's text-only version, catering initially to a select group of ChatGPT Plus subscribers. However, the model's premium pricing and inevitable rate limits may deter some potential users. As the AI landscape becomes increasingly competitive, OpenAI faces the challenge of justifying 4o1's hype and cost-effectiveness.

Oracle has commissioned three small nuclear reactors to power its new AI data center

Oracle plans to power a new 1-gigawatt AI data center with small modular nuclear reactors (SMRs), challenging traditional energy sources. While AI's energy consumption is staggering, tech giants like Microsoft and Google aim to make it more sustainable. Despite concerns, AI's potential for positive impact and big tech's efforts to balance energy consumption with solutions are promising.

OMG! ChatGPT wrote a merciless breakup letter

A ChatGPT 4 user prompted the AI to write a breakup letter, seeking insults based on personal traits. The AI delivered a caustic note, critiquing appearance, hobbies, humor, and more. The exchange sparked controversy in the Reddit forum. Users were stunned and bemused by the AI's extensive and brutal response, triggering diverse reactions.

57% of the internet is AI generated and causes model collapse

The internet landscape is changing, with over half of its content now attributed to AI generation or translation. This AI influence is causing a cascade of lower-quality material, leading to a worrying trend known as "model collapse." Researchers are sounding the alarm, emphasizing the urgent need for solutions to avoid detrimental impacts on AI technology and its wide-ranging applications.

AI’s quest for general intelligence

This article delves into the concept of Artificial General Intelligence (AGI) and its implications. It explores various perspectives on defining and achieving AGI, the potential impact on the job market, and differing opinions on its plausibility and risks. The discussion also touches on the relationship between AGI and consciousness. Additionally, it emphasizes the need for a multidisciplinary approach to navigate the uncertainties surrounding AGI and consciousness.

AI/ML news summary: week 35

This week in AI news: OpenAI offers fine-tuning for GPT-4o, Microsoft launches Phi 3.5 models, OpenAI partners with Condé Nast for SearchGPT integration, AI21 Labs releases Jamba 1.5 models, Nvidia unveils StormCast for weather prediction, Anthropic's Claude earns $1 million, Nous Research introduces DisTrO, Amazon Q adds code transformation, Google DeepMind develops FermiNet for quantum chemistry, and Jina AI introduces "Late Chunking" for improved data retrieval.

Anticipating AI’s next move • article â‘£ •

Ray Kurzweil, a respected futurist, predicts the achievement of Artificial General Intelligence (AGI) by 2029. Scientists and Big Tech are heavily investing in this pursuit. The concept of "wetware" involves merging biological systems and computers, raising ethical questions. Brain-Machine Interfaces offer potential for direct communication between the brain and computers, posing further ethical and societal concerns.

Anticipating AI’s next move • article â‘¢ •

In the Business (re)Design Space, AI is reshaping business models, exemplified by AI-First companies like Databricks and DevRev. The rise of machine customers and advanced personal AI assistants signifies an imminent transformation beyond traditional business operations. Human-AI collaboration, AI-driven autonomous teams, and embodied AI are heralding a new era of partnership and innovation.

Anticipating AI’s next move • article â‘¡ •

The content discusses the evolution of AI in three key spaces: Generation Space, Productivity Space, and Business (re)Design Space. It details the advancements in AI, including autonomous communication, AI platforms for work optimization, personal AI-assistants, process automation, predictive maintenance, and human-machine collaboration in supply chain management.

Anticipating AI’s next move • article â‘  •

In this article, the author presents a comprehensive framework for understanding the evolution of AI, starting with the Generation Space. This phase encompasses content creation, data analysis, and trend spotting through AI applications. The author highlights real-world examples and sets the stage for further exploration into the Productivity and Singularity Spaces in subsequent articles.

Machines are doing science now. Can they truly innovate?

AI-driven scientific research is gaining traction with platforms like Sakana AI Labs using Large Language Models to mimic scientific literature. However, the ability of AI to produce good science is questioned, as creativity and originality may be compromised. While AI can enhance research breadth, human oversight remains crucial to maintain quality and relevance in scientific discovery.

AI/ML news summary: week 34

This week in AI saw significant advancements, including the rise of GPT-4 class models with multimodal capabilities. Sakana AI's "The AI Scientist" and xAI's Grok-2 Beta release were notable highlights. However, concerns about the responsible use of AI in scientific research and Sakana's approach were also discussed. Multiple new AI tools, frameworks, and research papers were introduced.

Ways AI impacts ERP software in enterprises

A few days ago, I had a conversation with Stephanie Denino about Employee Centric Implementation, instead of top-down implementation, which organiations usually do. That inspired me to write a piece about how AI is shaking up ERP software in enterprises, and how another AI company helps you measure before and after if you managed to... Continue Reading →

Researchers have ranked AI models by risk. It was one big mess.

Researchers have ranked AI models based on their potential risks, revealing discrepancies in safety and ethical behavior. To address this, a comprehensive taxonomy of AI risks was developed, leading to the creation of AIR-Bench 2024. The findings emphasize the need for understanding AI risks before deployment and highlight the importance of data strategy, risk assessment, ethical practices, and prioritizing human experience in AI initiatives.

AI burnout at work is a thing! Here is how to prevent it

Summary: The author recalls their team's initial excitement about adopting AI tools, followed by the stress and fear of falling behind as the number of tools grew. They highlight the risk of AI burnout due to increased workload and lack of support. The solution involves gradual AI integration, clear communication, and targeted training to alleviate stress and maintain employee well-being.

AI/ML news summary: week 33

This week in AI, there were notable developments: OpenAI introduced Structured Outputs in their API, DeepMind launched reduced Flash pricing and fine-tuning capabilities, and new open-source models debuted. Other news includes Meta's need for increased computing power, JPMorgan Chase's AI assistant rollout, and Groq's significant funding raise. These advancements are shaping the future of AI.

I used “Napkin” to turn this article into a visual business story, and it was good!

Napkin, a company funded by Charles River Ventures, Accel, and Anthropic, offers an AI-powered tool for business storytelling and presentation design. With founders known for their success with Osmo, Napkin aims to revolutionize presentations by transforming text into compelling visuals. Despite competition, its potential impact is undeniable.

Prepare for the “AI-first” businesses.

The article discusses the evolving role of AI in business, focusing on the emergence of Machine Customers and AI-First businesses. It emphasizes the need for CEOs to adopt an innovative vision for AI integration and highlights the potential of AI in transforming sales and marketing processes. The future lies in AI-first businesses and the strategic role of humans in this transition.

Facebook is paying people to make AI crap

Confession time, people: Who still uses Facebook? Some still do secretly or openly, while others have abandoned it. Facebook's algorithm is churning out AI-generated content, creating a swamp of fake images and videos. The platform is struggling to moderate and detect this flood of garbage, leading to a digital crisis. Researchers and experts question whether Facebook will take effective action.

AI/ML news summary: week 32

Here are the articles, guides, and news about AI; Week 32. I read tons of RSS feeds and blogs, so you won't have to scour the internet yourself for the latest AI news of this week: Before we start! If you like this topic and you want to support me: Comment on the article; it... Continue Reading →

Top 10 huge capital investments in AI.

Investments in AI startups have surged, with over $35.5 billion poured into AI ventures in the first seven months of 2024. This trend reflects the massive potential for AI to disrupt industries and generate substantial profits. However, the field is not without risks, as not all ventures will succeed, leading to questions about the hype surrounding AI. Despite this, AI's transformative capabilities and promising future opportunities underline its enduring significance.

AI enters the world of wearable tech

AI wearables like Rewind Pendant, Ray-Ban | Meta Smart Glasses, Humane Ai Pin, and Bee AI are set to revolutionize the physical world. These devices record, transcribe, provide AI assistance, and enhance productivity. However, they raise privacy and security concerns. As technology evolves, the boundaries between digital and physical worlds blur, emphasizing the need for cautious usage.

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