The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Must Learn AI Security Part 11: Denial-of-Service Attacks Against AI

Rod’s Blog • 39 implied HN points • 11 Sep 23
🕹 Technology AI
  1. Denial-of-Service (DoS) attacks against AI aim to overwhelm the system with requests, computations, or data, making it slow, crash, or become unresponsive.
  2. Common techniques used in DoS attacks against AI include request flooding, adversarial examples, amplification attacks, and exploiting vulnerabilities in the system.
  3. Effects of a DoS attack on an AI system can lead to unavailability, loss of productivity, financial loss, reputation damage, and increased security costs for the affected organization.

What Happens When Deep Fakes Get Too Realistic?

Anxiety Addiction & Ascension • 39 implied HN points • 20 Mar 23
🕹 Technology AI
  1. Deep fake technology keeps improving and may soon create videos that are indistinguishable from reality, raising concerns about misinformation and manipulation.
  2. The rise of deep fakes adds complexity to the challenge of discerning truth from fiction, contributing to a post-truth era dominated by subjective realities.
  3. The potential consequences of flawless deep fake technology could escalate societal disarray, potentially leading to increased conflict and war.

The possibility that our new innovations and technologies could re-humanize us.

⭐️Bob’s Newsletter • 39 implied HN points • 10 Apr 23
🕹 Technology AI
  1. Technology can help redefine what it means to be human and how time is best spent.
  2. We should consider allowing machines to handle tasks they excel at, while humans focus on emotional intelligence, creativity, problem-solving, ethics, and communication.
  3. By learning from past technology pitfalls, we can create new innovations that enhance our humanity and enrich our lives.
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Future of Digital health products with AI first strategy

healthviva • 39 implied HN points • 30 May 23
🏥 Health & Wellness AI
  1. AI-powered digital health products can revolutionize healthcare by improving patient care and reducing costs.
  2. Key trends in the future of digital health products include personalizing healthcare with AI and automating tasks to free up healthcare professionals.
  3. Challenges in developing AI-powered digital health products include the lack of data and regulatory hurdles, despite opportunities for AI to enhance patient care, reduce costs, and improve healthcare delivery.

Pixels are free now

Sunday Letters • 39 implied HN points • 24 Sep 23
🕹 Technology AI
  1. The internet has made it much cheaper to share and create digital content, like images and music. This means more people can make and distribute their work easily.
  2. AI is reducing the time and effort needed for tasks like data analysis or creative work. What used to take weeks can now be done in hours, making things more efficient.
  3. As technology continues to evolve, we will likely rely on simple conversations with AI to create documents or applications. If it can't talk to other tools, it may soon seem outdated or 'broken'.

🎧 Technically Optimistic Podcast: Season One

Technically Optimistic • 39 implied HN points • 04 Aug 23
🎙 Podcasts AI
  1. The podcast episodes cover a range of topics related to AI, such as history, ethics, regulation, education, and accountability.
  2. Various experts from different fields discuss the impacts of AI on society, economy, and creativity.
  3. The podcast explores who should be accountable for managing AI and the responsibilities that come with an AI-driven future.

Huawei to Transform Chip Game

Sector 6 | The Newsletter of AIM • 39 implied HN points • 11 Sep 23
🕹 Technology AI
  1. Huawei is entering the chip market and competing directly with NVIDIA. Their Ascend 910 AI processor has similar power to NVIDIA's A100.
  2. The Ascend 910 offers strong performance with 256 TeraFLOPs while using less power than the A100. It shows that Huawei's technology can be efficient and effective.
  3. More companies, like iFlytek, are choosing Huawei's chips for AI development, indicating a shift in the industry. This could change the landscape of chip manufacturing.

Are You A Gamer, Yet?

Sector 6 | The Newsletter of AIM • 39 implied HN points • 12 Sep 23
🕹 Technology AI
  1. There are over a billion gamers worldwide, but many people have not yet embraced gaming. It's likely that in the future, almost everyone will be a gamer.
  2. AI has had a significant impact on gaming, improving graphics and gameplay experiences. At the same time, gaming advancements have also contributed to the development of AI.
  3. The relationship between AI and gaming is a two-way street, where each technology enhances the other, leading to better experiences for players.

Dancing About Network Architecture

Cybernetic Forests • 39 implied HN points • 03 Sep 23
🕹 Technology AI
  1. Dancing often comments on the space it happens in, whether intentionally or not, showing a connection between movement and design.
  2. Information in digital systems is usually stripped of physical origins and context, leading to loss and ambiguity.
  3. Artificial Intelligence often operates in a disembodied way, overlooking the importance of incorporating embodied knowledge and experiences.

AI and the end of integration testing

Sunday Letters • 39 implied HN points • 17 Sep 23
🕹 Technology AI
  1. AI will change how we build software, making traditional integration testing much harder or even impossible. This is because the possibilities for what software can do will become nearly infinite.
  2. Without effective integration testing, we will rely more on monitoring and telemetry to ensure software is working well in real time. Companies will need to focus on creating systems that check themselves while they run.
  3. New challenges will arise, like how to assess things like 'helpfulness' or 'safety' in software. We may need to create new measures and standards to evaluate these more complex qualities.

Extra! Extra! AI Writes Code..

aidaily • 39 implied HN points • 05 Jun 23
🕹 Technology AI
  1. AI is writing code, making developers' lives easier but can lead to complexity and technical debt
  2. Lawyers are asked to double-check AI-written legal work to avoid fake cases and inaccuracies
  3. AI is revolutionizing industries like healthcare and gaming, with NVIDIA making strides in AI technology

India’s AI Moment is (Not) Here

Sector 6 | The Newsletter of AIM • 39 implied HN points • 03 Sep 23
🕹 Technology AI
  1. India needs more investment in AI from big tech companies and local firms. Without this funding, progress will be slow.
  2. Government support is also crucial for a fair and open AI market in India. This helps the country compete better globally.
  3. Recent announcements show that companies like Google and Amazon are making significant investments in India to boost its digital economy. This could create more jobs and growth.

(My) shallow thoughts about deep learning, I

Silicon Reckoner • 39 implied HN points • 27 Jun 23
🔬 Science AI
  1. The workshop on 'AI to Assist Mathematical Reasoning' involved sessions with mathematicians and professionals discussing the role of institutions in adapting to AI.
  2. Panelists highlighted the importance of collaborations, new publication models, and the need for changes in teaching to incorporate new technologies in mathematics.
  3. There was a discussion about the potential impact of AI on mathematical reasoning, with a focus on automation, creating an ecosystem for accessibility, and the implications for democratizing decisions.

Using Azure Open AI with Microsoft Sentinel Part 1 - Getting Keys and Endpoints

Rod’s Blog • 39 implied HN points • 30 Mar 23
🕹 Technology AI
  1. Consider transitioning from Logic App connector for Open AI ChatGPT to Azure Open AI's ChatGPT for more control over data.
  2. When working with Azure Open AI models, deployments should be done in the Azure console, not Azure OpenAI Studio, and need patience for the API to become accessible.
  3. In Microsoft Sentinel, use best practices like storing API keys and endpoints in Parameters for calls to Azure Open AI deployments.

No Dev? No Problem: How I Built and Launched an App with ChatGPT-4

Step-by-step Product • 39 implied HN points • 13 May 23
🕹 Technology AI
  1. LLMs allow people with little or no coding skills to become developers, expanding possibilities for creating products faster.
  2. Planning and preparation are key before building an app with ChatGPT, considering the tech stack, structure of prompts, and debugging strategies.
  3. Creating an app with ChatGPT can be fast and insightful, but requires caution with APIs, defining the tech stack, and utilizing the tool's assistance for aspects like backend development and SEO.

AI-Assisted Coding: My Experience as a Startup Founder

wentin’s newsletter • 39 implied HN points • 31 May 23
🕹 Technology AI
  1. AI can assist startup founders in various tasks like coding, content creation, and email management.
  2. Using AI tools like Copilot and ChatGPT can streamline code documentation and help in creating API documentation more efficiently.
  3. AI can be used to quickly generate proof-of-concept code for new features and even write an entire app from scratch, speeding up learning and development processes.

Localisation of Gen AI in EU

Sector 6 | The Newsletter of AIM • 39 implied HN points • 01 Sep 23
🕹 Technology AI
  1. The EU has strict data protection laws that make it hard for AI tools like ChatGPT to work there. Companies have to follow these rules carefully.
  2. European lawmakers are banning certain AI technologies, like biometric surveillance and predictive policing. This is changing how AI innovations happen in Europe.
  3. A French company called Mistral AI recently raised a lot of money, even though they haven't launched a product yet. Their team has a lot of experience in developing advanced AI models.

Contextual Translations - Attempt 1

Dubverse Black • 39 implied HN points • 29 Aug 23
🕹 Technology AI
  1. Custom machine translation models can be more tailored to specific user needs
  2. Context retrieval is crucial for accurate translation of continuous input like video/audio content
  3. Modifying existing models for context-aware translation requires careful training and faces challenges

Using Azure Open AI with Microsoft Sentinel Part 2 - Converting Data to JSONL

Rod’s Blog • 39 implied HN points • 03 Apr 23
🕹 Technology AI
  1. Azure Open AI supports JSONL file type for customized modeling, which is like JSON but with data values on a single line
  2. Tools like a PowerShell script and the Open AI CLI tool can help in converting JSON to JSONL for different data formats like CSV, TSV, XLSX, and JSON
  3. Deploy Azure Open AI instances in US South Central for access to base model types crucial for customized models

The language of command

Nick Merrill • 39 implied HN points • 28 Jul 23
🕹 Technology AI
  1. In bureaucratic contexts, commands are linguistically coded, associated with power relations.
  2. Computers operate on commands, reflecting cultural stories about labor discipline and efficiency.
  3. AI challenges the traditional power dynamics associated with commanding computers, raising existential questions for users.

ProtestGPT: AI for Activists

Activist Futurism • 39 implied HN points • 14 Apr 23
🕹 Technology AI
  1. ProtestGPT is an AI tool designed to help activists generate unique and innovative protest ideas on various topics.
  2. ProtestGPT provides activists with campaign concepts, theories of change, press releases, social media posts, and step-by-step guides for organizing movements.
  3. Activists can interact with ProtestGPT to customize campaign ideas and get suggestions on protest targets, helping them plan effective and impactful actions.

How's Gen Z feeling about AI? 🤖

The Digital Native • 39 implied HN points • 01 Aug 23
🕹 Technology AI
  1. AI has a long history in pop culture and is currently experiencing a boom with new technologies like ChatGPT and AI-generated images.
  2. AI is impacting various industries like social media, graphic design, and music, but human creativity and expertise are still valued.
  3. Gen Z has mixed feelings about AI, with many believing it will enhance rather than replace their skills, but also expressing concerns about ethics and regulation.

Gettier problems

Optimism of the will • 39 implied HN points • 14 Jul 23
🕹 Technology AI
  1. Language models can sometimes output inaccurate information due to initial mispredictions.
  2. In AI, achieving justified true beliefs does not necessarily equate to knowledge.
  3. Integrating knowledge graphs with language models can enhance the accuracy of responses.

What if it’s too easy?

The Hive • 39 implied HN points • 24 Jul 23
🕹 Technology AI
  1. Sometimes things may seem hard or impossible, but seeing others do it can change your perspective.
  2. Try short spikes of work to test if something is actually as difficult as it seems.
  3. Competition in your space can be beneficial, as you can learn from others' mistakes and plans.

For the Love of PyTorch

Sector 6 | The Newsletter of AIM • 39 implied HN points • 04 Sep 23
🕹 Technology AI
  1. PyTorch is a key player in the development of AI, particularly large language models (LLMs). Its flexibility makes it great for deep learning experiments.
  2. The framework supports GPUs really well and allows for easy updates to computation graphs during programming.
  3. In 2022, PyTorch had a significant edge on platforms like Hugging Face, with 92% of models being PyTorch-exclusive compared to just 8% for TensorFlow.

The Black Box "Problem"

Prompt Engineering • 39 implied HN points • 10 Jul 23
🕹 Technology AI
  1. Our understanding of how AI works is limited due to the black box problem.
  2. Engineers build based on understanding, while scientists dissect to understand.
  3. It's more important for AI to work as intended and be continuously tested than to fully understand how it works.

Automation does not imply joblessness

Augmented • 39 implied HN points • 20 Apr 23
🕹 Technology AI
  1. Automation does not necessarily mean people lose their jobs.
  2. Large language models will impact various job tasks, but not always replace them entirely.
  3. Human oversight is crucial in handling the unpredictability of AI and large language models.