Bojan’s Newsletter

Bojan's Newsletter explores the intersection of technology, specifically focusing on artificial intelligence (AI) and its implications for various industries, research, society, and individuals. It discusses advancements in AI models, their applications, impacts on work and creativity, AI in mental health, and broader socio-economic effects.

Artificial Intelligence Technology Trends Machine Learning Generative AI Work and Automation Societal Impacts of AI AI in Research Mental Health and AI Data Science Creativity and AI Personal Reflections Tech Industry Dynamics

The hottest Substack posts of Bojan’s Newsletter

And their main takeaways
196 implied HN points 08 Jan 24
  1. Expect the release of GPT-5 in 2024, marking a significant advancement in AI models.
  2. AI tools may reach the limit of LLM capabilities, requiring integration with other technologies for further progress.
  3. Anticipate practical advancements in AI in 2024, such as fixing hallucinations, reliable AI-generated content, and 3D GenAI systems.
137 implied HN points 28 Nov 23
  1. Sam Altman returns as OpenAI CEO after being ousted.
  2. X solidifies its position as the go-to platform for tech news updates.
  3. Stakeholders at OpenAI now have a heightened sense of urgency and focus on accelerating projects.
157 implied HN points 15 Nov 23
  1. Key announcements at OpenAI Dev Day included GPT4 Turbo, GPT Store launch, ChatGPT API introduction, new Text-to-speech API, DALL-E 3 API, Whisper 3 unveil, and Copyright Shield.
  2. Developers can create and customize GPTs for specific use cases easily.
  3. OpenAI emphasized gradual AI model advancements and the transformative impact AI will have on various industries in the near future.
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196 implied HN points 25 Sep 23
  1. Cryptic tweets from OpenAI founders hint at significant advancements in AI startups surpassing established researchers and reaching AGI levels.
  2. Speculation rises around an internal achievement of AGI at OpenAI, with uncertain implications for future development and practical applications.
  3. AI benchmarks are being rapidly surpassed, suggesting potential strides towards self-improving AI, though the exact progress and intentions of OpenAI remain unclear.
117 implied HN points 30 Sep 23
  1. OpenAI released multimodal capabilities for ChatGPT, allowing interaction with chatbots through images and audio.
  2. The rollout of multimodal features was gradual, starting with select premium users, and the timeline for wider access is still unclear.
  3. The potential for voice interaction in AI is seen as a significant advancement, promising more intuitive user experiences than text input.
157 implied HN points 09 May 23
  1. AI revolution is creating a rift in society between those in tech and others.
  2. AI technology will change certain professions drastically while others may remain unaffected.
  3. Access to AI and its impact may be unevenly distributed in society.
176 implied HN points 27 Feb 23
  1. The author has not done fundamental work in generative AI, but has potential projects that may go in that direction.
  2. The author's interest in generative AI is linked to their long-term interest in the future of work, which directly affects their professional life.
  3. Generative AI tools have the potential to transform work dynamics significantly, especially in creative fields.
137 implied HN points 13 Mar 23
  1. Decision Trees are known for being accurate and robust in tabular data modeling.
  2. Generative AI systems can sometimes create inaccurate content, especially in domains where accuracy is crucial.
  3. Using tree-based ML models could potentially address issues of hallucination in Generative AI.
137 implied HN points 07 Dec 22
  1. Generative AI tools can enhance human creativity by simplifying complex tasks.
  2. Access to advanced AI tools can lower barriers for creative work and empower individuals with ideas to bring them to life.
  3. The rapid feedback loop enabled by AI collaboration can greatly accelerate the pace of human creativity and innovation.
78 implied HN points 16 May 23
  1. Cognitive Behavioral Therapy (CBT) helps people change their mental perspective to overcome psychological problems like depression and anxiety.
  2. CBT is well-researched but requires frequent and prolonged use, which can be challenging to sustain.
  3. Generative AI could assist in mental health by creating realistic conversation partners to track and improve mental health states.
78 implied HN points 13 May 23
  1. Artificial General Intelligence (AGI) is a topic of growing interest due to recent advancements in AI.
  2. A defining characteristic of AGI could be when an AI system is indistinguishable from a human work colleague.
  3. The impact of AGI may be most noticeable in the realm of knowledge-based jobs.
157 implied HN points 23 May 22
  1. The author is less excited about General Artificial Intelligence (GAI) than others.
  2. The author finds Data Science/Machine Learning (DS/ML) currently fascinating and impactful.
  3. The focus should shift to improving how machines obtain, process and use information rather than solely aiming for GAI.
58 implied HN points 14 Mar 23
  1. There is a giveaway for an Nvidia RTX 4080 Founders Edition for GTC Spring 2023
  2. To participate, read the rules provided in a specific tweet
  3. Check out the recommended sessions and important links for the event
58 implied HN points 13 Dec 22
  1. AI is powerful, but not a one-size-fits-all solution.
  2. There are still many niche areas in ML where human expertise is crucial.
  3. Sectors like insurance, finance, and retail require human insight in ML applications.
58 implied HN points 23 Jun 22
  1. Neural Networks are powerful due to differentiability and compositionality.
  2. Designing the Neural Network architecture is a critical and nontrivial task.
  3. Gradient boosting algorithms combine boosting with gradient descent for ML.
19 implied HN points 17 May 22
  1. Transformers are a valuable addition to ML practitioners' tools.
  2. They are not just about 'memorization'; they aim to find better representations of data.
  3. Despite varied success, transformers have been used in winning solutions and are a powerful ML tool.
58 implied HN points 17 Sep 20
  1. Bojan Tunguz writes about random topics on his Substack newsletter.
  2. He is involved in machine learning, Kaggle, and data science.
  3. Bojan Tunguz is a physicist, Catholic, husband, and father.