The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

JAX things to watch for in 2025

Gonzo ML • 378 implied HN points • 26 Nov 24
🕹 Technology AI Software Programming Data science Machine Learning
  1. The new NNX API is set to replace the older Linen API for building neural networks with JAX. It simplifies the coding process and offers better performance options.
  2. The shard_map feature improves multi-device computation by allowing better handling of data. It’s a helpful evolution for developers looking for precise control over their parallel computing tasks.
  3. Pallas is a new JAX tool that lets users write custom kernels for GPUs and TPUs. This allows for more specialized and efficient computation, particularly for advanced tasks like training large models.

Will long context windows solve all your problems?

Generating Conversation • 140 implied HN points • 19 Jun 25
🕹 Technology AI Tools Data processing Machine Learning Information Retrieval
  1. Long context windows are not a fix-all solution for every AI problem. They can help with things like summarization, but you need effective searching to get the best results.
  2. Using a lot of unnecessary data can be costly and slow. It’s important to narrow down what you really need to save time and money when working with large models.
  3. Including too much information can actually confuse the AI and lead to less helpful answers. Focusing on quality data instead of just throwing in everything will lead to better outcomes.

MAMLM as a General Purpose Technology: The Ghost in the GDP Machine

Brad DeLong's Grasping Reality • 130 implied HN points • 24 Jun 25
🕹 Technology Artificial Intelligence Innovation Productivity Data Analysis Economic Impact
  1. Big technology changes, like AI, often take longer to have an impact than we expect. History shows that these changes usually happen in small steps instead of all at once.
  2. The way AI is being used in businesses is growing, with more companies starting to adopt these technologies. This can lead to higher productivity over time.
  3. To really benefit from new technologies like AI, we need patience and creativity in our systems. The changes won't happen overnight, but it's important to stick with it.

The Sequence Radar #669: MiniMax-M1 is a Very Impressive Model

TheSequence • 140 implied HN points • 22 Jun 25
🕹 Technology AI Models Software Engineering Machine Learning Data Analysis Tech Innovation
  1. MiniMax-M1 is a new AI model with 456 billion parameters. It can handle a huge amount of context, making it efficient and powerful for tasks.
  2. This model uses a special attention mechanism called Lightning Attention to process information faster and at a lower cost than previous models. It's designed to work well without needing massive amount of resources.
  3. MiniMax-M1 was developed quickly and economically, showing that strong performance in AI can be achieved without spending a fortune. This opens new possibilities for making advanced AI accessible to more people.
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Last Week in AI #255: AI voice scams, flood of bad AI translations, self-rewarding LLMs, FTC probes AI partnerships of tech giants, and more!

Last Week in AI • 139 implied HN points • 29 Jan 24
🕹 Technology AI Machine Translation Language Models Tech Giants
  1. Scammers are using AI to mimic voices and deceive people into giving money, posing serious risks for communication security.
  2. Many sentences on the internet have poor quality translations due to machine translation, especially affecting low-resource languages.
  3. Researchers introduce Self-Rewarding Language Models (SRLMs) as a novel method to improve Large Language Models (LLMs) without human feedback.

Data Sharing in the Real World: Why SFTP Remains Essential for Companies

SeattleDataGuy’s Newsletter • 400 implied HN points • 31 Oct 24
🕹 Technology Data Sharing Data Engineering Standardization
  1. SFTP stands for Secure File Transfer Protocol, and it's a popular method for companies to send and receive data securely, like sending packages in the digital world. Many businesses, even big tech ones, still rely on SFTP instead of newer methods.
  2. Setting up SFTP jobs requires careful planning, especially for user authentication and file encryption. Using SSH keys and methods like PGP encryption helps ensure the data remains safe during transfers.
  3. Although there are more advanced data-sharing technologies emerging, SFTP isn't going away anytime soon. Many companies still rely on SFTP for their data needs, showing its continued importance in the industry.

If It Fits, Gemma Sits 💎

Sector 6 | The Newsletter of AIM • 99 implied HN points • 23 Feb 24
🕹 Technology AI Software Open Source Cloud Computing Innovation
  1. Google has integrated its new model, Gemini, into Google Workspace, showing its focus on developing AI tools for users.
  2. While Google has released a model called Gemma, it is not truly open-source, which raises questions about its commitment to the open-source community.
  3. This year, Google is heavily promoting its Gemini brand, including recent updates and changes to its existing AI products like Bard.

Data Science Weekly - Issue 502

Data Science Weekly Newsletter • 319 implied HN points • 07 Jul 23
🕹 Technology Data science Machine Learning Artificial Intelligence Data Analytics Computing
  1. Generative design is making strides in drug discovery, but there are still challenges to address for better outcomes.
  2. The UK government is investing in a Foundation Model Taskforce to harness AI for societal benefits and safety.
  3. Keeping updated with developments in data science, such as new models and applications, is essential for professionals in the field.

Data at Depth Newsletter 9: More Engagement, Better Titles, Your Own Custom GPT

Data at Depth • 79 implied HN points • 21 Mar 24
🕹 Technology Data Analytics Content creation
  1. The newsletter shares the creator's journey, including an increase in followers on Medium and steady Substack subscribers.
  2. The author discusses their recent creative projects and articles, reflecting on the title creation process.
  3. Readers can access a 7-day free trial to explore the full post archives of the Data at Depth newsletter.

Organizations are on the verge of losing control of their data forever

The Orchestra Data Leadership Newsletter • 79 implied HN points • 21 Mar 24
🕹 Technology Data Engineering Generative AI
  1. Organizations are at risk of losing control of their data due to lack of focus on data quality and overlooking data as a value-driver.
  2. Large Language Models (LLMs) can improve data quality control and help in automating tasks effectively with context.
  3. Before implementing LLMs, organizations should prioritize data cleaning, auditing, and defining valuable datasets.

OpenAI WebSocket Mode, 0x Cross-Chain API, TradeStation + Capitalize

The API Changelog • 1 implied HN point • 03 Mar 26
🕹 Technology APIs AI Blockchain Fintech Integrations Developer Tools
  1. APIs are shifting from stateless REST to low‑latency, persistent connections so AI agents can orchestrate complex actions in real time.
  2. New one‑to‑many and aggregator APIs hide provider complexity behind a single, normalized endpoint, cutting integration work and speeding product development.
  3. APIs are becoming programmable operational metrics that let teams embed visibility and decision signals directly into workflows so data drives immediate action.

Data Science Weekly - Issue 535

Data Science Weekly Newsletter • 99 implied HN points • 23 Feb 24
🕹 Technology Data science Artificial Intelligence Machine Learning Software Engineering Data Engineering Statistical Analysis
  1. Scaling AI tools like ChatGPT involves overcoming many engineering challenges to handle large user demands. It's important to manage growth effectively to keep users satisfied.
  2. There's a lot of information out there about generative AI, making it hard to keep up. A guidebook can help condense this information and provide practical insights.
  3. Linear regression is still a valuable tool in data science. Sometimes going back to basics can yield better results than relying on complex models.

AI and child safety

Tech + Regulation • 59 implied HN points • 13 May 24
🕹 Technology AI Ethics Child safety Digital Policy Cybersecurity
  1. The internet was not originally designed to be safe for kids, but improvements have been made over the years. Now, with new technology like generative AI, there's a chance to build better protections for children right from the start.
  2. Generative AI poses new risks for kids, especially with issues like deepfake pornography. These risks can lead to harmful impacts on their mental health and safety, as they might encounter misleading or abusive content online.
  3. Organizations like NCMEC play a crucial role in reporting and managing child exploitation content online, but they are underfunded. New laws need to ensure that these organizations receive the necessary resources to effectively combat these growing threats.

TheSequence Radar #674: Transformers in the Genome: How AlphaGenome Reimagines AI-Driven Genomics

TheSequence • 133 implied HN points • 29 Jun 25
🕹 Technology AI Genomics Research Biotechnology Data science
  1. AlphaGenome is a new AI model that helps understand the genome better. It predicts various functions in DNA, enabling quick analysis of genetic variants.
  2. This model combines different types of data into one system, making it easier and faster to see how genetic changes might affect health.
  3. DeepMind is offering early access to AlphaGenome for researchers, encouraging collaboration between academia and industry to unlock more discoveries in genetics.

NVIDIA: Waiting on Blackwell, and the Networking Question

Mule’s Musings • 372 implied HN points • 21 Nov 24
🕹 Technology Semiconductors AI Networking Market Analysis
  1. Nvidia's recent earnings report showed lighter-than-expected guidance, meaning some investors were disappointed but it also indicates the company is stabilizing as it grows larger.
  2. The focus is now on Nvidia's new product, Blackwell, which is expected to greatly impact revenue, and there's anticipation about how successful it will be as it ramps up.
  3. Networking sales have surprisingly dropped as a percentage of revenue, even though overall networking demand is still strong, raising questions about the reasons behind this change.

Scaling Laws Meet Economics, but Adoption is still Accelerating

Mule’s Musings • 333 implied HN points • 19 Dec 24
🕹 Technology AI Economics Modeling Hardware Innovation
  1. Economics are very important when it comes to scaling tech, and while costs are rising, tools like ChatGPT are still becoming more popular. Understanding the balance of cost and usage is crucial.
  2. Scaling laws are changing, and relying solely on large pre-trained models may not be the best strategy anymore. Businesses might need to explore smaller models or alternative methods to improve efficiency and reduce costs.
  3. Adoption of AI technologies is still growing rapidly, which shows that despite challenges, many people are eager to use and integrate these tools into their lives.

The Only Three Products in the Universe

Ulysses • 159 implied HN points • 15 Dec 23
🕹 Technology Information Energy Software Industry AI
  1. The three primary products in the universe are information, matter, and energy. These are the fundamental components of economic activity.
  2. Software businesses focus on processing and disseminating information, which can disrupt social activities that involve thinking and language.
  3. The ultimate value in economic activity is derived from manipulating matter and energy efficiently, with the mastery of synthetic biology predicted to have a greater impact than AI.

ANOTHER Nanopore Company! (Meilitech)

ASeq Newsletter • 21 implied HN points • 16 Dec 25
🕹 Technology Biotechnology Genomics Instrumentation Nanotechnology Research tools
  1. Meilitech has introduced the MerrySeq nanopore platform with modest claimed performance (around 95% accuracy) and small device pore counts (1–96), positioning it differently from bigger competitors.
  2. The platform emphasizes reusability and openness: chips are advertised as reusable 5–10 times with dry/wet separation, and the system offers multiple pore protein options plus raw-trace output for user tinkering.
  3. The product looks less mature than other offerings but could be attractive as a low‑cost, hackable research tool; it also sells patch‑clamp rigs and standard data outputs, though real-world availability and performance are unclear.

The Sequence Radar #700: From GPT-5 to Claude Opus, This Crazy Week in Model Releases

TheSequence • 98 implied HN points • 10 Aug 25
🕹 Technology AI Models Generative AI Software Development Machine Learning Data processing
  1. This week saw major advancements in AI with four big model releases, including GPT-5 and Genie 3. These show how AI is getting better at planning and understanding tasks.
  2. New models are focusing more on being reliable and efficient, allowing teams to handle routine tasks without always needing the most advanced technology. This helps save time and costs.
  3. Genie 3 allows for the creation of interactive environments, which could change how we interact with AI. This adds a new layer to AI's capabilities, making it more dynamic and engaging.

Imperfect, but sometimes on the money

imperfect offerings • 179 implied HN points • 24 Nov 23
🕹 Technology Data Privacy AI EdTech Recruitment Media Literacy
  1. Peter Thiel's Palantir has taken over the federated data service for the NHS, impacting data sharing opt-outs for patients and raising concerns about private interests in public health data.
  2. In the education sector, AI's influence, particularly in EdTech, raises issues around data governance, privacy regulations, and the challenge of regulating online platforms.
  3. AI's expansion into various sectors, including recruitment, poses challenges such as potential bias, pricing out of students, and the use of AI for assessments, leading to a possible 'AI-driven race to the middle' in hiring practices.

📜 Granting rights to AI may save humanity: A Quick Q&A with … Simon Goldstein

Faster, Please! • 274 implied HN points • 13 Feb 25
🕹 Technology Game Theory Human-AI Interaction Philosophy Safety
  1. Granting legal rights to AI could encourage cooperation between humans and AI. This would help prevent conflicts and promote beneficial interactions.
  2. A clear set of property and contract rights for AI could lead to better relationships, as both sides would be more likely to trade and support each other.
  3. By recognizing AIs' rights, we can reduce the risk of destructive behavior and promote a safer future where human and AI interests align.

Bits, Bytes, and Bylaws: Timeless Computing Laws (Part-1)

Wisdom over Waves • 159 implied HN points • 14 Dec 23
🕹 Technology Software Development Time management Organizational Behavior
  1. Hyrum's Law emphasizes that with a large number of users, system behaviors will be relied upon, regardless of what was promised.
  2. Hofstadter's Law points out that tasks often take longer than expected, even with buffers, so it's beneficial to shorten estimation cycles for better planning.
  3. Parkinson's Law highlights how work expands to fill the time available, showing the importance of constraints for creativity and efficiency.

The Origins S11 Preseason is LIVE!

The Lunacian • 414 implied HN points • 30 Oct 24
🕹 Technology Game Development Virtual Economy Community Engagement
  1. The Origins S11 Preseason has started, allowing players to try new features like the Haunted House and Axie Delegation. Get ready for exciting gameplay and rewards!
  2. Players can earn extra rewards by entering the Haunted House battles and testing upgraded Runes. Winning can give you a chance for cool prizes!
  3. Three special tournaments are coming up, giving players a chance to test their skills. Be prepared to compete for prizes in the Preseason Era Cups!

Drone Age 2023

Diane Francis • 499 implied HN points • 02 Feb 23
🕹 Technology Drones Transport Logistics Delivery Innovation
  1. Drones are becoming a key part of logistics, allowing for deliveries of groceries and packages, which could change how we get our goods.
  2. Major companies like Amazon and Walmart are already testing delivery by drones, and places like Britain are creating dedicated drone highways to make this more efficient.
  3. The future could see flying taxis, transporting people quickly and reducing traffic, all thanks to advancements in drone technology and better regulations.

An opening data strategy

Datent • 117 implied HN points • 30 Jan 24
🕹 Technology Data Strategy Chess Business strategy
  1. Strategies are guiding principles and need a clear purpose for decision-making.
  2. Focus on maximizing the benefits of data through data product management, managing data culture, and running a data transformation program.
  3. Feedback and continuous improvement are essential in developing effective data strategies.

Data Points

Technically Optimistic • 59 implied HN points • 19 Apr 24
🕹 Technology Data AI Privacy
  1. Data is essential for AI; you can't have AI without massive amounts of data.
  2. Our relationship with data is complex - it enhances our efficiency and personalization but also raises privacy concerns.
  3. Surveillance capitalism is a reality where tech companies profit from capturing and shaping our private experiences, showcasing the lack of user power and awareness.

AI safety is not a model property

AI Snake Oil • 796 implied HN points • 12 Mar 24
🕹 Technology AI Machine Learning Cybersecurity Ethics
  1. AI safety is not a property of AI models, but depends heavily on the context and environment in which the AI system is deployed.
  2. Efforts to fix AI safety solely at the model level are limited, as misuses can still occur since models lack necessary context for decision-making.
  3. Defenses against AI model misuse should focus primarily outside models, on attack surfaces like email scanners and URL blacklists, and red teaming should shift towards early warning of adversary capabilities.

It’s GPT-5 Day!

Alex's Personal Blog • 98 implied HN points • 07 Aug 25
🕹 Technology AI Automation Software Revenue Models Entrepreneurship
  1. Smartsheet was recently sold for $8.4 billion, but its former CEO left the company shortly after due to changes that frustrated staff. This suggests challenges that can arise with private equity ownership.
  2. AI continues to grow, especially in coding, and companies see huge revenue potential in this area. Predictions about its rapid growth can sometimes sound unbelievable but may turn out to be true.
  3. The financial model for AI companies can look strange because they often spend a lot upfront on developing new models, but eventually, they can become profitable as they ramp up revenue from these models.

Where’s China’s AI Safety Institute?

ChinaTalk • 370 implied HN points • 20 Nov 24
🕹 Technology AI safety
  1. AI Safety Institutes, or AISIs, are new groups set up to focus on the safety of advanced artificial intelligence. They help create guidelines and conduct research.
  2. China has not yet created an official AI Safety Institute, which raises questions about its role in global AI safety discussions. Some believe it should establish one to formally participate in international efforts.
  3. Despite not having an AISI, several Chinese organizations already work on AI safety, but this makes coordination and engagement with international partners more complex.

How Rust and Python manage memory

VuTrinh. • 119 implied HN points • 27 Jan 24
🕹 Technology Programming Software Data Engineering Memory management System Design
  1. Rust uses ownership to manage memory, meaning each value has a single owner. When that owner goes out of scope, the memory gets freed automatically.
  2. Python uses a garbage collector to handle memory which counts how many references point to an object. Once there are no references left, it cleans up the unused memory.
  3. Rust's approach gives developers more control but requires them to understand ownership rules, while Python's method is easier for beginners but can slow down performance.

An AI Haunted World

One Useful Thing • 972 implied HN points • 19 Dec 23
🕹 Technology AI Models Applications Development Autonomy
  1. The development of open source AI models is democratizing AI usage and allowing for easier modification and widespread deployment.
  2. The efficiency and affordability of LLMs will lead to AI being incorporated into various products for troubleshooting, monitoring, and interaction, potentially creating an 'AI haunted world'.
  3. Future AI integration may involve hierarchies of various AI models working together, with smart generalist AIs delegating tasks to cheaper, specialized AIs.

Cathy reads If Anyone Builds It Everyone Dies

Sex and the State • 24 implied HN points • 02 Dec 25
🕹 Technology Artificial Intelligence AI Ethics Tech Policy Regulation Journalism Risk Assessment
  1. I’m not convinced advanced AI will definitely kill everyone and worry that trying to stop it outright could forfeit huge potential benefits like curing disease and ending scarcity.
  2. Media and tech handling of AI is broken: coverage is shallow and companies are building capabilities faster than they understand them, so better journalism and oversight are needed.
  3. Proposals for a global pause or bans on AI are vague and problematic — it’s unclear who would write or enforce such rules, how to define forbidden "improvements," or whether the push for prohibition is driven by political or financial interests.

Time to ChatGPT/Gemini/Claude/Grok Oneself.

The Future Does Not Fit In The Containers Of The Past • 24 implied HN points • 30 Nov 25
🕹 Technology AI Career Job Market Human Interaction Data Analysis
  1. Using AI tools can help you better understand yourself. You can ask it personal questions like your worth or analyze your past appraisals to get insight.
  2. Having deep conversations with other people can reveal a lot. You can ask about their most impactful experiences and compare their answers to what AI might say.
  3. It's important to think about how AI will change jobs and industries. Asking challenging questions to yourself, others, and AI can help you adapt and prepare for the future.

Data Science Weekly - Issue 491

Data Science Weekly Newsletter • 419 implied HN points • 21 Apr 23
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Data Engineering
  1. AI academics are facing challenges keeping up with private sector investments. It's important for them to find survival strategies to remain competitive.
  2. There are ongoing discussions about the rapid progress in machine learning and how it can be overwhelming for developers. Many are sharing thoughts on adapting to this fast-paced change.
  3. Visualizing neural networks properly can help clarify concepts. There is a push for better diagrams to avoid confusion in understanding how these networks function.