The hottest Data Substack posts right now

And their main takeaways
Category
Top Literature Topics

Google’s Ethical Dilemma, Cloud leaders & Maths

Sector 6 | The Newsletter of AIM • 19 implied HN points • 21 Mar 21
🕹 Technology Data
  1. Google is facing tough choices about ethics in AI development. They need to balance innovation with responsibility to avoid negative impacts.
  2. Leaders in cloud computing are crucial for the growth and integration of AI technology. Their strategies will shape the future of this industry.
  3. Mathematics underpins AI and data analytics. A strong understanding of math is essential for anyone looking to work in these fields.

Doing Data The Hard Way

Pedram's Data Based • 14 implied HN points • 04 Apr 23
🕹 Technology Data
  1. The tech industry is experiencing pushback against the complexity of recent years.
  2. The gap between the cost of data solutions and their value is increasing, leading to a re-examination of needs.
  3. Exploring old ways of solving data problems before the abundance of vendors can provide valuable insights for building more robust systems.

The Architecture of Modern Observability Platforms

Bit by Bit • 11 implied HN points • 26 Jul 23
🕹 Technology Data
  1. Observability platforms help organizations understand the health of their applications using metrics, logs, and traces.
  2. Modern observability platforms tackle the challenge of handling large volumes of data and offer different types of architectures.
  3. Unifying the storage, ingestion, and querying layers can significantly scale and reduce costs in observability platforms.

Weird properties of large language models

More is Different • 7 implied HN points • 14 Jan 24
🕹 Technology Data
  1. Large language models like ChatGPT can hallucinate and make mistakes
  2. LLMs require huge amounts of data to train, more than we could estimate for human learning
  3. LLMs have limitations in memorization, truthfulness, and can be influenced by prompts, anchors, and formatting
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[Video] How Clay approaches marketing with Mishti Sharma & Bruno Estrella

MKT1 Newsletter • 2 implied HN points • 30 Jan 25
💼 Business Data
  1. Clay uses ecosystem marketing to help creators succeed, which in turn leads to their own success. They focus on making their partners look good, fostering a sense of community.
  2. Clay has evolved to be a 'GTM Development Environment', allowing users to access various data providers and integrate their tools efficiently. This makes it easier for teams to enrich their data and improve their go-to-market strategies.
  3. They have developed hybrid sales models, combining self-serve and sales-led motions to cater to both small businesses and large enterprises. This flexibility helps them adapt to different customer needs and grow effectively.

Databricks’ AI Strategy in a Nutshell

Enterprise AI Trends • 4 HN points • 25 Jun 24
🕹 Technology Data
  1. Databricks is growing in enterprise AI by focusing on data and AI governance with its Unity Catalog. This tool helps businesses manage how they use and share data and AI apps.
  2. Data governance is a big challenge for companies using AI. Without proper management, there can be serious security issues, especially with sensitive customer data.
  3. Unity Catalog makes it easier for Databricks to sell other services. Once companies start using it, they find it helps with many areas, leading to more business opportunities for Databricks.

Cloud fortress

Metal Machine Music by Ben Tarnoff • 19 implied HN points • 15 Nov 19
🕹 Technology Data
  1. The expanding definition of 'platforms' in tech can have significant implications, shaping responsibilities and liabilities of tech companies.
  2. The use of platforms in law enforcement can impact accountability, public trust, and insulation from criticism and legal action.
  3. Historical instances of groups like CLODO attacking computer centers highlight concerns over surveillance, control, and societal impacts of computerization.

The Data Exchange podcast community

Gradient Flow • 19 implied HN points • 08 Nov 19
🎙 Podcasts Data
  1. Ben Lorica is the chair of The AI Conference and the host of The Data Exchange podcast.
  2. The Gradient Flow newsletter by Ben Lorica covers topics related to AI and data.
  3. It is encouraged to sign up for the newsletter and share it with friends.

#86

The Nibble • 2 implied HN points • 24 Nov 24
🕹 Technology Data
  1. New AI tools are being released, like Codeium's WindSurf Editor, which helps developers interact with their code and automate tasks.
  2. Ethereum is planning a major upgrade called Beam Chain to improve its system and reduce older technical issues.
  3. Deno now supports importing WebAssembly, which is a big deal for developers looking to enhance their applications with new technologies.

Computer Science Applications Of Aaron Lee Axiom, Extensions & Integrations Pt 3

Autodidact Obsessions • 4 implied HN points • 15 Feb 24
🕹 Technology Data
  1. The author worked on the discussed problems for 30 years, gaining a deep understanding before diving into specific terminology.
  2. Understanding the jargon allowed the author to quickly progress in relating logical paradigms to philosophical problems.
  3. Nesting the conceptual framework inside pragmatic empiricism produced similar results, while nesting pragmatic empiricism within the framework expanded capabilities.

ai gold rush.

a quest for knowledge • 1 HN point • 22 Feb 23
🕹 Technology Data
  1. The AI landscape is evolving, with the shift from AI to AGI causing excitement.
  2. AI tools like Copliot can be useful but may require careful review to ensure quality.
  3. The widespread use of AI in different aspects of life may have implications on creativity and authenticity.

Liable Sources

WORLD GONE WRONG • 1 HN point • 21 Apr 23
🕹 Technology Data
  1. AI can learn racist and sexist behaviors from internet content
  2. The C4 linguistic corpus used to train AI includes sources with troubling content
  3. Extremist websites rank high in the dataset, impacting the output of generative AIs

Perception Shaping

software + caffeine = blog • 1 HN point • 31 Mar 23
🕹 Technology Data
  1. SRE should shape engineering's perception of reality through accountability and visibility.
  2. SRE should be a lifeline for other engineering teams, prioritizing help and mentoring.
  3. SRE should focus on creating conduits with management rather than enforcing rules, understanding priorities, and coaching executives.

The Ethics of Influencer Technology: Balancing Privacy, Profitability, and the Role of shipto.me

The SHIPTO.ME Blog • 1 HN point • 16 Jun 23
🕹 Technology Data
  1. In influencer technology, privacy and profitability are key concerns for users to consider.
  2. Influencers can manipulate behavior by endorsing products, sometimes resulting in negative outcomes for their audience.
  3. It's important to be cautious when using influencer platforms, follow genuine influencers, question content authenticity, and understand privacy policies.

How to connect ChatGPT and ElasticSearch?

Machine Economy Press • 6 implied HN points • 20 Apr 23
🕹 Technology Data
  1. Elasticsearch allows for various types of searches like structured, unstructured, geo, and metric.
  2. With Elasticsearch aggregations, you can analyze trends and patterns in large datasets.
  3. Combining ChatGPT with Elasticsearch could lead to innovative, powerful question/answer systems.

AI at the intersection?

Peter’s Substack • 2 implied HN points • 15 Aug 24
🕹 Technology Data
  1. AI technology is improving but mostly in small ways, with major breakthroughs not happening just yet. Many tools are getting faster and cheaper, making them easier to use.
  2. New datasets and improved video generation are exciting developments. Companies like Microsoft and Apple are working on systems that learn from our daily computer use to help automate tasks.
  3. The future of AI holds two possibilities: gradual improvements with existing technology or significant breakthroughs that could change everything. Both paths are possible, so it's important to be ready for either outcome.

Keys to Success: The 3 Dualities.

The Future Does Not Fit In The Containers Of The Past • 3 HN points • 17 Mar 24
🚌 Education Data
  1. Successful leaders balance opposing dualities into a harmonious approach, like Roots and Wings, to adapt to changing times while maintaining tradition.
  2. Combining Story and Spreadsheet is crucial for creating true wealth and differentiation in a data-driven world, emphasizing the importance of creativity and storytelling alongside data.
  3. Companies should blend Centralized Control and Edge Power, finding the balance between a coordinated approach for efficiency and tailoring services to the unique needs of diverse markets for innovation.

The ABCs

Achee Alpha • 3 implied HN points • 24 Feb 24
💼 Business Data
  1. Focus on the foundations in marketing - Audience, Behavior, Content. These are the ABCs that matter most.
  2. Targeting the right audience is crucial. It's not about reaching everyone, but connecting with those who need your solution.
  3. Listen to your user's problems, understand their behavior, and create valuable content to attract and engage them.

The problem was the product

benn.substack • 3 HN points • 16 Feb 24
🕹 Technology Data
  1. Apple Vision Pro is aiming for true augmented reality, teasing a bolder future despite current limitations.
  2. Visionary products create a shared vision of the future, like a Schelling point guiding everyone in the same direction.
  3. The modern data stack lost its coherence and original mission, leading to a collapse due to lack of a communal vision.

How common is scientific fraud?

More is Different • 4 implied HN points • 05 Aug 23
🔬 Science Data
  1. Scientific fraud is more common than many realize, with notable cases surfacing across various fields.
  2. Fraud in research can range from fabricating data to using improper methods, and can have serious consequences for science and public health.
  3. Studies show that rates of fraud vary between fields, with a significant portion of researchers admitting to engaging in questionable research practices.

Databricks Synthetic Datasets API, Vapi $20M, Prometheus Data Leak

The API Changelog • 1 implied HN point • 17 Dec 24
🕹 Technology Data
  1. OpenAI and Meta experienced global outages recently, disrupting services for many users. They are working on fixes to prevent this from happening again.
  2. Databricks launched a new API for creating synthetic datasets to help with testing while protecting privacy. This is useful for developers needing realistic simulation data.
  3. Prometheus servers are at risk of data leaks due to weak authentication, making it important to enhance security measures to prevent potential attacks.

Probable events poison reality

Internal exile • 4 HN points • 16 Jun 23
🕹 Technology Data
  1. Technology is often viewed in terms of economic potential and innovation, overlooking broader impacts.
  2. Critiques of technology often reveal underlying critiques of capitalist systems and profit-driven motives.
  3. The spread of large language models (LLMs) and AI technology may lead to a polluted reality devoid of true innovation.

Spotify Closes API, PlayAI $21M, SEC EDGAR Next

The API Changelog • 1 implied HN point • 03 Dec 24
🕹 Technology Data
  1. Spotify is limiting access to its API for third-party developers. This change is meant to protect user data but has upset many developers who feel left in the dark.
  2. PlayAI has raised $21 million to improve its AI voice technology. This funding will help them create better speech tools for businesses.
  3. The SEC is updating its EDGAR system for better security and account management. These changes will make filing and managing documents easier for companies.

Intelligence is a Process

In My Tribe • 2 HN points • 29 Feb 24
🕹 Technology Data
  1. Intelligence is an ongoing process, not just a set of knowledge that someone possesses.
  2. Human intelligence is collective, with information learned from others directly or indirectly.
  3. Intelligence involves evolving beliefs through processes like free speech, open inquiry, and scientific methods in institutions.

The Future of Ecommerce

Fish Food for Thought • 2 implied HN points • 29 Nov 23
💼 Business Data
  1. GenAI is revolutionizing search and personalization in ecommerce.
  2. Data is crucial for powering AI models and personalizing the customer experience.
  3. Omnichannel retail, long-term customer relationships, and visual commerce are key trends shaping the future of ecommerce.

Brand & Data

Fish Food for Thought • 2 implied HN points • 22 Nov 23
💼 Business Data
  1. In Web 2.0, companies can differentiate through brand and data.
  2. Data allows for personalized experiences and enhances user satisfaction.
  3. Combining a strong brand with rich data can set a company apart in a crowded market.

Tippets #185

Tippets by Taps • 2 implied HN points • 05 Aug 23
🕹 Technology Data
  1. 2023 may be known as the 'Year of AI' due to the rapid development and acceleration of artificial intelligence.
  2. US policymakers are considering rules and regulations on AI, focusing on areas like rules, institutions, funding, and people.
  3. Xi Jinping faces challenges in balancing growth, security, ambition, and elite politics, potentially leading to national stagnation over rejuvenation.

Microsoft thinks Cybersecurity is a job for GPT-4

Machine Economy Press • 2 implied HN points • 11 Apr 23
🕹 Technology Data
  1. Microsoft has developed a new assistant called Security Copilot for cybersecurity professionals, powered by GPT-4 and designed to help identify breaches.
  2. The Security Copilot tool uses large language models and threat intelligence gathering to hunt down security threats based on daily collected signals.
  3. There is a global shortage of skilled security professionals, with Microsoft aiming to address this through continual learning from users and collaboration to combat sophisticated cyber threats.

Crap and gold (+ weekly update)

12challenges • 1 HN point • 16 Feb 24
🕹 Technology Data
  1. On social media platforms like Instagram and Twitter, there's a mix of valuable content (gold) and unwanted material (crap) due to addictive design.
  2. To keep users engaged, platforms use variable rewards and show both good and bad content, including ads.
  3. Despite the mix of content, such platforms have become addictive, making it challenging for users to leave because of the high value placed on the good content.

Elevate the role of analytics in your company

petr@substack • 1 implied HN point • 13 Feb 24
💼 Business Data
  1. Many companies need to take analytics seriously, as analytics teams are often seen as second-class citizens, stuck in a negative spiral of underappreciation and lack of trust.
  2. To elevate the role of analytics in a company, data needs to be deployed into business-critical processes, creating a more impactful and essential role for analytics teams within the organization.
  3. Success in making data critical involves finding champions within the company, prioritizing technology quality, and incrementally increasing the criticality of data use cases, moving away from dashboards towards actionable workflows.

AI: The Bias Paradox

Mind Prison • 2 HN points • 15 Feb 23
🕹 Technology Data
  1. AI reflects human flaws and biases, it doesn't fix them
  2. Trying to create unbiased AI is a paradox, as humans introduce bias during refinement
  3. Accepting bias in AI is crucial for understanding its limitations and ensuring transparency