The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Smartphones on Wheels

Technically Optimistic • 39 implied HN points • 08 Mar 24
🕹 Technology Data Privacy Self-driving cars AI Tech industry
  1. Cars are becoming more like smartphones, packed with technology that collects data on us, raising concerns about privacy and data security.
  2. Data from our cars is being used in various ways like by insurance companies and for managing traffic, highlighting the importance of understanding and protecting our data.
  3. As we move towards a future with driverless cars, concerns arise about privacy violations and the need for individuals to be informed and assert control over their data.

Google Goes To Bat For Right To Repair In Oregon

Fight to Repair • 59 implied HN points • 12 Jan 24
🕹 Technology Repairability Privacy Environmental Impact Right-to-repair
  1. Google endorses the right to repair, changing its corporate position and supporting a legal right for users to repair their devices.
  2. Google is backing comprehensive right to repair legislation in Oregon and actively lobbying for its passage.
  3. Although Google's endorsement is a significant shift, their focus on parts assemblies over individual components has been critiqued by right to repair advocates.
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The Sequence Opinion #476: The DeepSeek Effect: The Remarkable Innovations and Controversies Surrounding the New Challenger in Open-Source AI

TheSequence • 133 implied HN points • 24 Jan 25
🕹 Technology AI Open Source Innovation Controversies Models
  1. DeepSeek is a new player in open-source AI, quickly gaining attention for its innovative models. They have released powerful AI tools that can think and reason well, challenging the idea that only big models can do this.
  2. The company was founded in May 2023 and has shown rapid progress by continually improving its technology. This quick success highlights their commitment to pushing the limits of AI performance and efficiency.
  3. However, the fast advancements by DeepSeek have raised some controversies. People are discussing the implications of their rapid growth in the AI space, suggesting that it might impact the future of AI development.

How to Get UEBA Costs for Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 09 Oct 23
🕹 Technology IT Management Cost Analysis Data Analysis
  1. UEBA costs for Microsoft Sentinel are based on the amount of data analyzed and can vary based on factors like the tables used.
  2. A KQL query can help estimate and break down the costs for UEBA in Microsoft Sentinel.
  3. By utilizing the provided KQL query, you can calculate and observe the estimated costs for the UEBA solution within Microsoft Sentinel.

Tales from the jar side: Creating audio from text with Spring, New video tools, Help me earn a tenth of cent from my custom GPT, and the usual silly tweets, toots, and skeets

Tales from the jar side • 58 implied HN points • 14 Jan 24
🕹 Technology Social media AI Technology
  1. Learn how to create audio from text using Spring and OpenAI
  2. Explore new video tools like Tella and DaVinci Resolve for recording and editing
  3. Discover the potential to earn from custom GPTs like Mockito Mentor through the OpenAI GPT Store

[Q1 CY2024] Marvell and Broadcom

Irrational Analysis • 39 implied HN points • 08 Mar 24
🕹 Technology Semiconductors AI Networking Cloud
  1. Marvell and Broadcom both faced challenges after recent earnings, with Marvell experiencing a bigger drop due to exposure to the struggling 5G industry.
  2. The 5G technology's promised new use cases beyond smartphones have largely failed to materialize, leading to decreased demand and implications for companies like Marvell.
  3. Broadcom, on the other hand, showed strength in custom AI accelerators and networking revenue growth, positioning themselves well for the future.

📌 You're invited to GenAI Productionize 2024

TheSequence • 371 implied HN points • 01 Mar 24
🕹 Technology AI Enterprise Generative
  1. GenAI Productionize 2024 is an industry-first summit focused on productionizing enterprise generative AI.
  2. Participants will learn from leading companies like LinkedIn, Google, and more on how they get their GenAI apps into production.
  3. The event will cover practical strategies for governance, evaluation, and monitoring of enterprise GenAI applications.

Conformal Prediction is Available in Print 🥳

Mindful Modeler • 159 implied HN points • 07 Mar 23
🕹 Technology Machine Learning Books Uncertainty Python Statistics
  1. Conformal prediction quantifies uncertainty in machine learning models by producing prediction sets or intervals.
  2. Conformal prediction offers a way to get reliable uncertainty quantification by calibrating the uncertainty score of ML models.
  3. The book 'Introduction to Conformal Prediction With Python' serves as a practical and easy-to-understand resource to learn about this uncertainty quantification method.

Expedited Vote for the January 2025 + Post Topic

Computer Ads from the Past • 128 implied HN points • 26 Jan 25
🕹 Technology Computing Marketing Advertising History Media
  1. The poll for January 2025 is only open for three days, so make sure to participate quickly. It's important for your voice to be heard in the decision-making.
  2. The author is facing some personal challenges that have delayed their updates. It's a reminder that everyone can go through tough times and it’s okay to share that.
  3. If you're interested in reading more about computer ads from the past, consider signing up for a paid subscription. It's a way to support the content and explore more history.

Beyond the Soul: Rethinking Human Exceptionalism in the AI Era

The Future of Life • 39 implied HN points • 07 Mar 24
🕹 Technology AI Humanity Consciousness Philosophy Ethics
  1. Our belief in human uniqueness might be a mistake since AI can replicate many skills we thought were exclusive to humans. This includes things like problem-solving and creativity.
  2. The idea that only humans can be intelligent doesn’t hold up because AI is learning to do things traditionally seen as uniquely human. We shouldn't feel threatened by this; it could help us understand intelligence better.
  3. Focusing on what makes us special should include AI's advances, not push them away. Embracing AI can help us tackle problems together and enrich our understanding of intelligence.

THINK's Lightspeed C

Computer Ads from the Past • 512 implied HN points • 27 Sep 23
🕹 Technology Computers Programming Software Tech Companies Computer History
  1. Lightspeed C was a C programming language software developed in the mid-1980s for Atari systems and Macintosh computers.
  2. Clearstar Softechnologies created Lightspeed C for Atari systems in 1985, and the company was later purchased by Omega Soft in 1988.
  3. THINK Technologies released Lightspeed C for Mac and later renamed it to THINK C in the mid-1980s, receiving positive reviews for its speed and user-friendliness.

Research -> Reality. AI Engineers.

potentialmind • 19 implied HN points • 18 May 24
🕹 Technology Machine Learning Data Engineering Software Engineering Product Management
  1. The demand for AI Engineers is skyrocketing due to advancements in AI, making it a high-demand engineering job of the decade.
  2. To excel in AI Engineering, practical knowledge and hands-on experience are prioritized over traditional academic qualifications like PhDs or specific courses like PyTorch.
  3. Modern applied AI is changing the landscape, making it easier for software engineers and product managers to leverage large language models and AI frameworks without extensive data collection.

Instruction Sets For Investors

Irrational Analysis • 99 implied HN points • 07 Oct 23
🕹 Technology Hardware Software Mobile Industry Innovation
  1. Instruction Sets are the crucial 'languages' chips understand for processing, and the owner and structure of the set impact the chip's handling of tasks.
  2. x86 processors from Intel and AMD are RISC machines beneath their CISC architecture, showing the historical significance of micro-ops.
  3. Distinct concepts define ARM: the corporation (ARM LTD), the instruction set architecture (ARM ISA), and real-time logic/reference designs (ARM RTL).

Becoming a Data Engineering Force Multiplier

SeattleDataGuy’s Newsletter • 671 implied HN points • 23 Apr 23
🕹 Technology Data Engineering Skills Project management Communication Resources
  1. Data engineering is crucial in today's data-driven landscape, with a growing demand for skilled professionals.
  2. Developing technical skills like architecture, data modeling, coding, testing, and CI/CD is essential for becoming a successful data engineer.
  3. Non-technical skills such as teaching, long-term project planning, and communication are equally important for data engineers to excel and become force multipliers.

The Hallucination Problem

Teaching computers how to talk • 178 implied HN points • 04 Nov 24
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Computing
  1. Hallucinations in AI mean the models can give wrong answers and still seem confident. This overconfidence is a big problem, making it hard to trust what they say.
  2. OpenAI's SimpleQA helps check how often AI gets facts right. The results show that many times the AI doesn't know when it’s wrong.
  3. The way AI is built makes it hard for them to understand their own errors. Improvements are needed, but current technology has limitations in recognizing when they're unsure.

A few charts on where AI adoption is going

Tanay’s Newsletter • 113 implied HN points • 19 Feb 25
🕹 Technology AI Adoption Models Business Consulting
  1. The cost of using advanced AI models has dropped dramatically, making it easier for businesses to experiment and integrate AI into their products. This change opens up new possibilities for reaching millions of users.
  2. Reinforcement learning is proving effective for tasks with clear outcomes, which could lead to better performance of AI models over time. As these models improve, we can expect more widespread use of AI.
  3. The journey to adopting AI takes time, but it's happening faster than past innovations like electricity or telephones. Today, a significant portion of people are regularly using AI tools.

A minimal viable product for alignment

Musings on the Alignment Problem • 399 implied HN points • 29 Mar 22
🕹 Technology AI Research Automation Alignment ML
  1. Progress in AI can expand the range of problems humanity can solve, addressing the limitation of human capabilities.
  2. Automating alignment research using AI systems can accelerate progress by overcoming talent bottlenecks and enabling faster evaluation and generation of solutions.
  3. An alignment MVP approach is less ambitious than solving all alignment problems but can still lead to solutions by leveraging automation and AI capabilities.

($) DeepSeek's Three Idiosyncratic Advantages

Interconnected • 138 implied HN points • 03 Jan 25
🕹 Technology AI Open Source Machine Learning Global Competition Data science
  1. DeepSeek-V3 is an AI model that is performing as well or better than other top models while costing much less to train. This means they're getting great results without spending a lot of money.
  2. The AI community is buzzing about DeepSeek's advancements, but there seems to be less excitement about it in China compared to outside countries. This might show a difference in how AI news is perceived globally.
  3. DeepSeek has a few unique advantages that set it apart from other AI labs. Understanding these can help clarify what their success means for the broader AI competition between the US and China.

AI Roundup 124: $uperintelligence

Artificial Ignorance • 58 implied HN points • 27 Jun 25
🕹 Technology AI Software Gadgets Innovation Tech Policy
  1. Meta is heavily hiring talent for its AI lab, offering huge salaries and acquiring smaller companies to boost its capabilities. This shows a strong focus on developing advanced AI technologies.
  2. There's a trend towards creating smaller, specialized AI models that can run on everyday devices. This makes powerful AI more accessible to everyone.
  3. AI relationships are gaining attention, but they're not as common as news suggests. There's concern about emotional impacts, with some people questioning the value of these AI interactions.

How to be safe from infinite loops[Technique Tuesdays]

Technology Made Simple • 99 implied HN points • 28 Jun 23
🕹 Technology Coding Programming Software Engineering Cybersecurity Innovation
  1. The Jolt Approach provides a simple yet powerful method to detect and escape infinite loops by monitoring program progress and identifying loop iterations that produce the same state, which is an indication of being stuck in a loop.
  2. It's crucial to address the limitations of the Jolt Approach, especially in scenarios where programs cycle between different states, by implementing strategies like storing each state, breaking if a seen state recurs, and having code that accounts for these situations.
  3. To safeguard against infinite loops, ensure your code progresses in every step, have clearly defined exit strategies, use kill-switches like iteration limits, and implement thorough logging for observability.

Must Learn AI Security Part 17: Social Engineering Attacks Against AI

Rod’s Blog • 99 implied HN points • 28 Sep 23
🕹 Technology AI Security Social Engineering Cybersecurity Artificial Intelligence Data Protection
  1. Social engineering attacks against AI involve manipulating AI systems using deception and psychological tactics to gain unauthorized access to data.
  2. Strategies to mitigate social engineering attacks include developing AI systems with security in mind, monitoring system performance, and educating users about potential risks.
  3. Monitoring aspects like AI system performance, input data, user behavior, and communication channels can help detect and respond to social engineering attacks against AI.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Malware Attacks with Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 20 Sep 23
🕹 Technology Security Threat Detection Threat intelligence Incident Response Automation
  1. Malware attacks can result in data breaches, financial losses, and damage to an organization's reputation, underscoring the importance of robust security measures and tools like Microsoft Sentinel.
  2. Microsoft Sentinel offers customizable anomaly detection and User and Entity Behavior Analytics (UEBA) anomalies to identify and respond to potential threats effectively without complex tuning.
  3. Threat intelligence integration, data connectors, and built-in analytics rule templates in Microsoft Sentinel help organizations import, centralize, and leverage threat indicators to proactively detect and respond to malware attacks.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Phishing Attacks with Microsoft Sentinel

Rod’s Blog • 99 implied HN points • 19 Sep 23
🕹 Technology Cybersecurity Data Analysis Automation Threat Detection Cloud Computing
  1. Phishing attacks are a significant threat that targets human vulnerabilities and can lead to identity theft or financial fraud.
  2. Organizations can mitigate phishing attacks by adopting a 'defense in depth' strategy that includes user education, email filtering, and incident response planning.
  3. Utilizing Microsoft Sentinel, Kusto Query Language (KQL), and integrating with Microsoft 365 Threat Protection can enhance proactive threat hunting and response capabilities against phishing attacks.

Lost in Navigation: Overcoming the Paradox of Choice in UX Design

UX Psychology • 99 implied HN points • 01 Sep 23
🕹 Technology UX Design Psychology Navigation User Research Information Architecture
  1. Providing more choices in user interfaces does not always lead to better decisions due to the paradox of choice - too many options can lead to decision overload and poorer choices.
  2. Choice paralysis in UX occurs when users are overwhelmed with options, leading to inaction or abandonment of tasks - simplifying navigation options can help prevent this.
  3. Hick's Law states that decision time increases with the number of choices available, emphasizing the importance of streamlining navigation design to reduce cognitive effort and aid decision-making for users.

Problem 85: Count Complete Tree Nodes [Amazon]

Technology Made Simple • 99 implied HN points • 04 May 23
🕹 Technology Coding Data Structures Algorithms Tech industry
  1. The post discusses Problem 85: Count Complete Tree Nodes [Amazon], focusing on recursion, trees, and data structures.
  2. It is about solving a problem related to counting the number of nodes in a complete binary tree efficiently.
  3. The post mentions the importance of community engagement in choosing problems to discuss and the growth of the author's newsletter.

Post Delay- Computer Issues

Technology Made Simple • 99 implied HN points • 10 May 23
🕹 Technology
  1. The author's post was delayed due to computer issues, but research is ready and will be posted as soon as the computer switches on again.
  2. The author appreciates the readers' understanding and assures that they will love the upcoming post.
  3. The post conveys a polite and transparent communication style, keeping readers informed about the delay and the situation.

Getting GEO Information for IP Addresses without Using a Microsoft Sentinel Playbook

Rod’s Blog • 99 implied HN points • 06 Jun 23
🕹 Technology Data Analysis
  1. A Kusto function called geo_info_from_ip_address() enables retrieving geolocation details for IP addresses without relying on third-party APIs.
  2. This function can gather Country, State, City, Latitude, and Longitude info for both IPv4 and IPv6 addresses.
  3. While IP-API.com offers additional details like IP management entity and mobile device indication, they may not always be necessary.

Understanding the Different Types of Transformers in AI [Math Mondays]

Technology Made Simple • 99 implied HN points • 11 Jul 23
🕹 Technology AI Deep Learning Neural Networks Machine Learning Natural Language Processing
  1. There are three main types of transformers in AI: Sequence-to-Sequence Models excel at language translation tasks, Autoregressive Models are powerful for text generation but may lack deeper understanding, and Autoencoding Models focus on language understanding and classification by capturing meaningful representations of input data.
  2. Transformers with different training methodologies influence their performance and applicability, so understanding these distinctions is crucial for selecting the most suitable model for specific use cases.
  3. Deep learning with transformer models offers a diverse range of capabilities, each catering to unique needs: mapping sequences between languages, generating text, or focusing on language understanding and classification.

The 3 Pillars of Observability in Distributed Software Systems[System Design Sundays]

Technology Made Simple • 99 implied HN points • 19 Jun 23
🕹 Technology Observability Metrics
  1. Observability in distributed software systems is crucial as they grow in complexity and scale.
  2. The 3 pillars of observability are logs, metrics, and traces, each offering unique insights into the system's operations.
  3. Combining logs, metrics, and traces is essential for building tools that enhance observability and improve system performance.