The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Data Delivery To Large Language Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 27 Oct 23
🕹 Technology Artificial Intelligence Machine Learning Data science Natural Language Software Development
  1. Data delivery is key to making large language models (LLMs) work well. It involves giving the model the right data at the right time to get accurate answers.
  2. There are two main stages for data delivery: during training and during inference. Training helps the model learn, while inference is when the model uses what it learned to respond to questions.
  3. A balanced approach is needed for data delivery in LLMs. Using different methods together will lead to better results than sticking to one single method.

The Reprise of AR Glasses

The Digital Anthropologist • 0 implied HN points • 08 Apr 24
🕹 Technology Design Market Analysis Consumer Trends Artificial Intelligence
  1. The original AR glasses by Google flopped due to a design that was too futuristic and obvious, not resonating with consumers' needs.
  2. Snap's success with AR glasses highlights the importance of design, evolving features, and taking a human-first approach in product development.
  3. While AR glasses are making a comeback with better designs, they still face challenges in finding widespread consumer value, with potential growth in niche markets like manufacturing, medical, and military applications.

Search & Society: A Fundamental Shift

The Digital Anthropologist • 0 implied HN points • 05 Apr 24
🕹 Technology Search Engines Artificial Intelligence Augmented reality Digital Transformation Data Analysis
  1. Searching is instinctual and vital for survival, helping us gather information and turn it into knowledge. It is a fundamental aspect of how we interact with our world.
  2. The way we search, especially digitally, is undergoing significant changes as our physical and digital worlds become increasingly intertwined. Search engines are evolving to meet these new demands.
  3. Search technologies are advancing rapidly, incorporating AI tools and adapting to users' needs across various forms of interaction like voice, touch, and augmented reality. This evolution reflects a broader societal acceptance of the hybrid digital and physical world as our new reality.

Exploiting the Diffie-Hellman bug in socat

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 03 Feb 16
🕹 Technology Cybersecurity Cryptography Exploitation
  1. The Diffie-Hellman bug in socat involved a vulnerability where the hard-coded DH p parameter was not prime, making the key exchange weaker and potentially insecure.
  2. Knowing the factors of the p parameter can allow one to solve the discrete log problem (DLP) on Z_p through the Chinese Remainder Theorem, which can be a powerful cryptanalysis tool.
  3. To exploit the bug, one can factor p completely, reduce DLP on Z_p to a smaller group, use Pollard's rho or index calculus, sniff socat traffic, and profit - highlighting the potential risks and methods involved in exploiting this vulnerability.
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Women & Technology: History & Future

The Digital Anthropologist • 0 implied HN points • 01 Apr 24
🕹 Technology Women History Future Innovation Equality
  1. Evidence is emerging that women have played a significant historical role in technology development.
  2. Recent studies suggest that women adapt better to new and existing technologies than men, contributing to key inventions.
  3. Women are proving to be crucial in the successful development and adaptation of technologies, shaping the future and countering biases in AI.

On Making Social Media Platforms Better

The Digital Anthropologist • 0 implied HN points • 29 Mar 24
🕹 Technology Social media Platforms Algorithms Data Collection
  1. Some social media platforms like Pinterest, Medium, Substack, and Wikipedia are examples of platforms with higher user satisfaction and less toxicity. They empower users more than platforms like Facebook and Twitter.
  2. One key factor for improving social media platforms is achieving a better balance between machines and humans. Platforms that focus on Cultural Alignment (CA) and Information Asymmetry (IA) can offer more value to users.
  3. There are four scenarios for the machine-human relationship in social media platforms: Assisting, Nudging, Collaborating, and Misunderstanding. Moving towards a collaborative scenario can lead to more equal standing between humans and machines.

Maps, Society & The Digital Age

The Digital Anthropologist • 0 implied HN points • 13 Mar 24
🕹 Technology Maps Digital Age Culture Society Augmented reality
  1. Maps are cultural artifacts deeply embedded in human societies, used for navigation and decision making.
  2. Maps offer insights into cultural and social aspects beyond just geographical information, such as political power systems and societal organization.
  3. As maps become more democratized in the digital age, they are evolving to become a new channel of communication that adds socio-cultural and societal benefits.

Technology’s Immutable Laws?

The Digital Anthropologist • 0 implied HN points • 25 Mar 24
🕹 Technology Innovation Ethics Social Impact Digital Technologies Culture
  1. Technology is ingrained in human culture and always evolving, impacting our societies in profound ways since the beginning
  2. Digital technologies provide significant opportunities for advancement but also pose potential dangers to humanity
  3. Establishing laws around technology is crucial to ensure its positive impact, considering factors like unintended consequences and the role of culture in shaping technological acceptance

Why Technology Is A Proper Mess. For Now.

The Digital Anthropologist • 0 implied HN points • 22 Mar 24
🕹 Technology Innovation Digital Transformation Technological Impact Software Integration
  1. Technology can feel messy now, but history shows we will figure it out over time
  2. The influx of numerous revolutionary technologies simultaneously is causing significant societal pressure for change
  3. Digital technologies today have immense potential to interconnect and evolve, even with the challenges and messiness

Culture & Merging Our Brains With The Internet

The Digital Anthropologist • 0 implied HN points • 20 Mar 24
🕹 Technology BCI Artificial Intelligence Internet of Things Neuroscience Ethics
  1. Brain Computer Interfaces (BCI) technologies are advancing with potential benefits like helping those with paralysis or speech limitations.
  2. BCIs will eventually raise ethical questions and impact our sense of identity and relationships with society.
  3. Culture will play a key role in determining the acceptance and adoption of BCI technologies, likely starting with assisting those with physical and mental challenges.

Exploiting the math/rsa bug in Go

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 15 Jan 16
🕹 Technology Programming Cybersecurity Cryptography
  1. The math/rsa bug in Go impacted crypto/tls and crypto/openpgp, prompting the need to change RSA private keys.
  2. Go uses Montgomery reduction and Chinese Remainder Theorem to speed up modular operations, but a small mistake led to leaking RSA private keys.
  3. By exploiting the bug, one can potentially obtain the RSA private key values and learn how multiple modular results can help determine values like 'q'.

Society & Technology: Adaptation

The Digital Anthropologist • 0 implied HN points • 06 Mar 24
🕹 Technology Society Anthropology Smartphones
  1. Technology goes through phases of society becoming aware of it, evaluating its impact, and adapting to it, leading to cultural changes and deeper interactions with the technology.
  2. Cultural actions shape technology adaptations such as imposing laws, regulations, or societal norms, reflecting mass actions and group thinking.
  3. When technologies become seamlessly integrated into society and taken for granted, they become most interesting as they bring proven value and comfort to daily life.

Open Sourcing Discussions and Content for Responsible and Secure AI

Rod’s Blog • 0 implied HN points • 24 Feb 23
🕹 Technology AI Security Open Source
  1. Monitoring security for AI technologies is still in its early stages, with similarities to other security monitoring approaches.
  2. Open sourcing discussions and content can enhance collaboration and understanding in the field of responsible and secure AI.
  3. Resources like the OpenAISecurity repo, the Responsible and Secure AI manifesto, and Microsoft Sentinel content are valuable tools for those interested.

Society & Technology: Evaluation

The Digital Anthropologist • 0 implied HN points • 01 Mar 24
🕹 Technology Society Evaluation Adaptation Social Impact
  1. Before society fully adapts to a new technology, there is a crucial evaluation phase to understand its impact.
  2. Technologies, like societies, are ever-evolving and start reflecting values and power dynamics during the evaluation phase.
  3. During the evaluation phase, societies begin considering the positives and negatives of a technology and start to modify social norms accordingly.

Society & Technology: Awareness

The Digital Anthropologist • 0 implied HN points • 28 Feb 24
🕹 Technology AI Awareness Technological Change
  1. Technological change in society is often slower than perceived due to the time it takes for societies to become aware of and react to new technologies.
  2. Societies encounter new technologies with varied reactions based on biases, cultural backgrounds, and social structures, leading to opportunities, moral panics, and fear of disruption.
  3. The awareness phase of new technology can last for years, involving reactions like fear, excitement, and evaluation before significant changes start to impact sociocultural systems.

Làm an toàn sản phẩm (product security) là làm gì?

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 08 Jan 16
🕹 Technology Cryptography Software Development
  1. Start product security early to save time and cost - fixing issues during design phase is cheaper than after product development.
  2. Segment product security project into vulnerability assessment and penetration testing phases for thorough evaluation.
  3. Balance time between breaking and building software for security expertise and lead a team specialized in cryptography solutions.

Apple Vision Pro - Indie Hardware PT 2

Product Lost by @hipcityreg • 0 implied HN points • 02 Jul 23
🕹 Technology Hardware Software VR AR AI
  1. Apple unveiled the Vision Pro headset with impressive features like eye-tracking and a focus on spatial computing.
  2. Apple is emphasizing its shift to creating its own hardware and chips, aiming to be deeply integrated into users' lives.
  3. The tech industry is seeing a rise in new hardware experiments, particularly driven by a desire to innovate in AI and create new forms of software.

Robots Are Getting Interesting. That’s Good.

The Digital Anthropologist • 0 implied HN points • 26 Feb 24
🕹 Technology Robots AI Society Innovation Future
  1. Robots are becoming more interesting and are entering a socially ready and mature phase, which is good because we are now at play with this technology.
  2. As we play with technology, it becomes more interesting, and the same applies to robots. The history of robots spans over 2,000 years, but now we are starting to see significant advancements.
  3. For robots to become more widespread in society, they need to become faster, more agile, and cost-effective. The advancements in robots have been impactful in niche applications and are now progressing towards broader societal integration.

TetCon 2016 Slides Available for Download

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 08 Jan 16
🕹 Technology Cybersecurity Events Community Donations
  1. Slides from TetCon 2016 are available for download on the conference website, with the exception of one speaker who chose not to release their slides.
  2. The TetCon 2016 conference at Sheraton had around 280 attendees, mostly male, indicating a need for more female participation in hacking events.
  3. Despite initial financial concerns, TetCon 2016 ended up with a positive net income, thanks to sponsorships and ticket sales, enabling plans for a larger and more diverse conference in the future.

Effective Accelerationism & Transhumanism Movements

The Digital Anthropologist • 0 implied HN points • 23 Feb 24
🕹 Technology Movements Ideology Future Influence Ethics
  1. Effective Accelerationism (e/acc) is a radical movement seeing humanity as replaceable and advocating for Artificial General Intelligence (AGI) to supplant humans.
  2. Transhumanism focuses on improving human condition through technology while valuing human agency and ethics, in contrast to e/acc's indifference to human suffering and extinction.
  3. The e/acc movement, although unlikely to gain widespread political support, could still influence technology development and serve as a cautionary example of unchecked technological idealism.

Our Technology Fears Are Overrated

The Digital Anthropologist • 0 implied HN points • 21 Feb 24
🕹 Technology AI Tech Giants
  1. The technology industry is a hot mess due to fierce competition among giants like Microsoft and Google, hindering significant advancements.
  2. Many digital technologies and data exist, creating chaos that makes achieving dystopian scenarios like AGI and SkyNet highly unlikely.
  3. Productivity gains from AI have not been realized yet, with constant battles and challenges within industries and companies due to massive technology debt.

The shortest memset is... ?

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 28 Dec 15
🕹 Technology Programming
  1. A competition is being held to find the shortest code implementation of memset, with a 10-byte submission being the current record.
  2. Scholarships for a training class are offered to college students through this challenge, where the best code implementation wins.
  3. A Q&A session with Bruce Dang and Thai Duong is scheduled to share insights with computer science and computer security students.

When Our Digital World Fades, Will We Too?

The Digital Anthropologist • 0 implied HN points • 16 Feb 24
🕹 Technology Digital Preservation Artificial Intelligence Data Storage Genetics Information Security
  1. Stone and paper may endure longer than digital storage. Our digital memories are fragile and could be lost in the future.
  2. Our current Digital Age might leave a gap in history for future historians and archaeologists to wonder about.
  3. Technological advancements may lead to storing information in DNA, potentially changing how future generations understand humanity.

Context-Aware Meta-Learning For Foundation Models

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 30 Oct 23
🕹 Technology AI Machine Learning Natural Language Processing Computer Vision Data science
  1. Large Language Models can learn quickly from little information during use, without needing extra training. This makes them very flexible in understanding and generating text.
  2. Currently, images don't learn as easily as text when it comes to recognizing new things on the spot. Improving this could allow visual models to learn like language models do.
  3. The new method called Context-Aware Meta-Learning helps visual models learn new concepts right away without extra setup. This can lead to exciting new applications that connect text and images better.

Technology: Are We Over Reliant?

The Digital Anthropologist • 0 implied HN points • 07 Feb 24
🕹 Technology Impact Human Interaction Future outlook Ethics Evolution
  1. Humans have always relied on technology for survival and identity, from making tools to creating complex technologies like smartphones.
  2. We are currently surrounded by an abundance of technologies that both enhance and challenge us, leading to questions about how we should use them to benefit humanity.
  3. Instead of being over-reliant, we may be feeling overwhelmed by the rapid pace and global impact of technological advancements, prompting us to consider how to navigate this new era.

A Digital Debt Crisis?

The Digital Anthropologist • 0 implied HN points • 29 Jan 24
🕹 Technology AI Data Management
  1. A Digital Debt Crisis could lead to better technologies and innovations that benefit everyone.
  2. Technology debt in organizations may impact the market, lead to complex IT systems, and cause declines in digital technology usage.
  3. A Digital Debt Crisis may result in fewer investments in new technology but could drive improvements in software quality and better data management.

Amazon, 2019

Venture Prose • 0 implied HN points • 19 Dec 14
🕹 Technology E-commerce Delivery Innovation Automation Drones
  1. Amazon offers fast 'within 30 minutes' delivery for various items like a Macbook, following a quick order processing and delivery process.
  2. The practice of offering rapid delivery is not only a trend but also common across different industries like beauty services (glamsquad), transportation (uber), and food delivery (toktoktok).
  3. Customers can experience a seamless delivery process with status updates, drone delivery, and personalized runner arrival alerts within the 30-minute timeframe.

Google's Broken AI Ends in Day of Hilarity

startupdreams • 0 implied HN points • 23 Feb 24
🕹 Technology AI Internet Social media
  1. Google's AI, Gemini, made some very unusual mistakes with image generation, particularly around historical and racial contexts.
  2. The media, from right wing to left wing, all criticized Google for the errors made by Gemini, with conservative outlets feeling diversity was wrong, and left wing outlets finding it offensive. It led to widespread amusement.
  3. Gemini was programmed to insert diversity and alter prompts before generating images, which eventually led to Google taking down the image generation feature due to embarrassment and poor results.

Large Language Models & The Problem Of Abundance

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 31 Oct 23
🕹 Technology AI Language Models Chatbots Machine Learning Natural Language
  1. Chatbot development has limited tools, making it hard to create flexible and intelligent systems. Developers often start from scratch, which can slow down progress.
  2. Large Language Models (LLMs) bring many features together, but the challenge is managing their overwhelming capabilities. Instead of building from nothing, developers must learn to control and direct LLMs effectively.
  3. There is a shift towards more general LLMs that can handle various tasks, making it easier to develop comprehensive applications. New techniques are also being created to better guide LLM responses.

A New Prompt Technique From DeepMind Called Optimisation by PROmpting (OPRO)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 02 Nov 23
🕹 Technology AI Machine Learning NLP Prompt engineering Data science
  1. A new technique called Optimisation by PROmpting (OPRO) helps improve the performance of language models by using specific prompts. This method aims to make prompts more effective without changing the underlying models.
  2. OPRO can generate multiple prompt options at once, allowing the system to find the best one more efficiently. This strategy is helpful for solving tasks and provides better stability in results.
  3. The prompts created with OPRO can perform 8% to 50% better than those designed by humans, showing it can be more efficient in certain tasks. It's a new way to help machines understand and respond more accurately.

Đánh nhau bằng toán

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 28 Dec 15
🕹 Technology Security Cryptocurrency Networking Software Privacy
  1. Juniper, RSA, and other companies were found to use the Dual EC algorithm which had a backdoor installed by the NSA, compromising security.
  2. Using closed-source security products without thorough scrutiny can lead to vulnerabilities in the system, highlighting the importance of investing in in-house expertise for secure solutions.
  3. Generating truly random numbers for encryption is a complex task, and backdoors in algorithms can pose serious security risks, emphasizing the need for caution in technology choices.

Self-Critique LLM Chain Using LangChain & SmartLLMChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 02 Nov 23
🕹 Technology AI Chatbots NLP Software Engineering
  1. Using SmartLLMChain helps break down complex questions into three steps: ideation, critique, and resolution. This method can lead to better and more accurate answers.
  2. Different models can be assigned for each step of the process. This allows for tailored approaches to ideation, critique, and resolving, resulting in thorough responses.
  3. The method shows the importance of understanding how many people can work together effectively. It highlights that digging efficiency may not be simply multiplied by the number of workers involved.