The hottest Chips Substack posts right now

And their main takeaways
Category
Top Technology Topics
Faster, Please! • 1005 implied HN points • 07 Mar 26
  1. When governments label tech firms as national security risks for refusing certain military uses, it creates political loyalty tests that scare off investors and can slow innovation.
  2. Multiple breakthrough technologies—AI/AGI, nuclear, quantum, genomics, and space—are accelerating at once and driving a global race for economic and strategic leadership.
  3. That rapid progress brings real risks: geopolitical shocks can disrupt chip and supply chains, data centers raise energy and inflation concerns, and job losses and public backlash are growing policy challenges.
SemiAnalysis • 21315 implied HN points • 12 Nov 25
  1. Microsoft initially led the AI market but faced challenges after pausing their datacenter expansion and slowing commitments to OpenAI. This gave competitors like Oracle and Amazon an opportunity to secure more contracts directly with OpenAI.
  2. Microsoft is now ramping up its investments in AI and datacenter capacity again, aiming to meet growing demand. They are also exploring various methods to boost their AI capabilities, including using custom chips and expanding their infrastructure.
  3. Despite their efforts, Microsoft faces stiff competition and must improve their cloud services to cater to AI companies. They need to refine their offerings to stay relevant and capture more of the growing AI market.
Don't Worry About the Vase • 3001 implied HN points • 08 Jan 26
  1. AI tools and advanced chat models have reached critical mass and are reshaping everyday workflows, making people more productive across coding and non‑coding tasks through agents, extensions, and integrations.
  2. Generative models make fake documents, images, and videos easy to create, so verifying sources and prioritizing real, sustained human experiences is becoming increasingly important.
  3. Huge funding and rapid deployment are accelerating AI’s economic impact, but benchmarks, regulation, and safety practices lag behind, leaving big uncertainties about jobs, markets, and long‑term risks.
philsiarri • 67 implied HN points • 09 Mar 26
  1. Apple launched the MacBook Neo as its cheapest Mac laptop at $599, using a phone-class A18 Pro chip with a 13‑inch display, 8GB RAM, and a 256GB base storage option.
  2. The Neo creates a new entry point in Apple’s lineup, effectively replacing the M1 MacBook Air’s role and widening the gap between budget, midrange, and high‑end MacBooks as other models get pricier.
  3. Reactions are mixed — some see the Neo as a smart move to fill a neglected price segment, while others read the low price as an economic caution; Apple also appears to be treating Neo as a platform for low‑cost experimentation with future features like touchscreens and newer chips.
ChinaTalk • 578 implied HN points • 12 Dec 25
  1. Nvidia's H200 chips are now allowed to be sold to China, which has sparked different opinions in Chinese media. Some see it as a temporary win for China's tech, while others worry about long-term dependency on foreign technology.
  2. Chinese AI companies have adapted to using various cloud service providers to access advanced chips, even under restrictions. This shows they have been preparing and may not be as reliant on new Nvidia products as originally thought.
  3. The approval to sell H200 chips may boost Nvidia’s sales significantly, but it won’t reverse China's strong push towards developing its own chip industry. China is working to be more self-sufficient and less dependent on foreign tech in the future.
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State of the Future • 19 implied HN points • 13 Feb 26
  1. AI agents are rapidly automating work that happens on screens, and small but steady reliability improvements can quickly make them good enough to replace many tasks.
  2. New chip startups are raising big rounds to solve the memory bottleneck by doing computation-in-memory or using photonics, because faster, cheaper inference hardware is critical for agent-scale workloads.
  3. Europe is moving toward onshore AI compute and governance with large GPU deployments and consortium models, and privacy-enhancing technologies plus auditing will be essential to keep agent access to sensitive data secure and compliant.
Sector 6 | The Newsletter of AIM • 519 implied HN points • 29 Dec 23
  1. Intel's CEO, Pat Gelsinger, set a tough goal to create five new technology nodes in just four years, and they achieved this faster than expected.
  2. They recently announced new processors called Intel Core Ultra and Intel Xeon, with more technology options coming next year.
  3. Intel is also planning to enter the GPU market and has exciting upgrades on the horizon with their Gaudi AI accelerator, which will have improved performance features.
ChinaTalk • 474 implied HN points • 06 Jun 25
  1. Xiaomi is moving from budget phones to more advanced technology like chips and electric cars. They believe this shift is necessary to compete with big brands like Apple and Samsung.
  2. Lei Jun, Xiaomi's founder, emphasizes the importance of hard tech, which includes advanced manufacturing and robotics. He thinks focusing on these areas will help build a stronger company.
  3. Xiaomi faced challenges when a fatal accident involving one of their electric cars raised safety concerns. This event highlighted their need to improve quality and public trust in their products.
TheSequence • 42 implied HN points • 11 Jan 26
  1. AI hardware is moving to rack-scale "AI factories," with companies like NVIDIA and AMD designing integrated systems where chips and CPUs work as a single supercomputing unit. This shifts the unit of compute from individual GPUs to whole racks optimized for large-scale inference and training.
  2. Massive capital rounds are reshaping who can compete in frontier models, as multibillion-dollar raises make training and infrastructure effectively affordable only to hyper-scalers and well-funded entities. That level of spending is turning top labs into utility-like, enterprise infrastructure players.
  3. China’s AI firms proved public markets can reward consumer-facing model strategies, with IPOs like MiniMax and z.AI showing rapid monetization and liquidity. This underscores a growing bifurcation: the West doubling down on heavy infrastructure for AGI, while the East pushes fast consumer exits and application-led growth.
Interconnected • 293 implied HN points • 29 Jul 25
  1. The export control debate about Nvidia's H20 chip is complicated because both sides use the same evidence to argue their points. It shows that the argument is not fully addressing the real concerns.
  2. Chinese tech companies are placing large orders for these H20 chips, but they fear getting too reliant on Nvidia's products instead of developing their own. This means they want to ensure they have various options.
  3. Interestingly, many Chinese companies also dislike Huawei, as they don’t want to be stuck with a single supplier. They are looking for better choices in the tech landscape.
Liberty’s Highlights • 452 implied HN points • 18 Oct 23
  1. It's liberating to realize that most fields are understandable to an interested outsider, focusing on big ideas.
  2. Exploring new fields and combining knowledge from different areas can lead to rich and interesting discoveries.
  3. Taking calculated risks and thorough preparation can lead to successful outcomes in business decisions, like pushing all the chips in.
Moly’s Substack • 176 implied HN points • 03 Jul 23
  1. Chinese social media platforms like Weibo have algorithm-driven feeds similar to Instagram and Twitter, featuring both content from followed accounts and recommended posts.
  2. Chinese perspectives on Taiwan show ambivalence, with a desire for reunification out of spite rather than genuine care for Taiwan.
  3. Duck Blood Soup from Huiweizan is a highly popular and beloved instant noodle brand in China, known for its generous portions of duck blood and organ bits.
Brad DeLong's Grasping Reality • 238 implied HN points • 12 Nov 24
  1. Big tech companies are trying to break their dependence on NVIDIA and OpenAI because they don't want to pay high fees for using their technology. They are investing heavily to develop their own systems and chips.
  2. The race for independence is fueled by fears of falling behind in AI technology. Companies need cutting-edge language and classification models to stay competitive and make profits.
  3. Despite the rush to innovate, there's concern about monopolies in chip manufacturing, particularly with companies like TSMC. If other competitors can catch up, it could lead to a more open tech landscape and fewer fees for businesses.
Alex's Personal Blog • 65 implied HN points • 07 Jul 25
  1. Groq is making waves in AI and inference computing by building special chips that help with AI tasks. They recently expanded into Europe to better meet customer needs.
  2. Elon Musk's new America Party might attract moderate voters looking for alternatives, especially among tech elites. However, it's uncertain how popular it will actually be among voters.
  3. Changes to the tax rules for small businesses allow for more tax-free sales, which could help startups but may raise questions about government handouts amid claims of a budget crisis.
Sector 6 | The Newsletter of AIM • 39 implied HN points • 11 Dec 23
  1. Intel is planning a big event where they might announce new AI products to compete with NVIDIA and AMD. This shows how competitive the tech industry has become.
  2. One exciting product expected is the Gaudi3 AI accelerator chip, which will be much faster and better than the previous version. It promises improved performance with higher compute power and memory capacity.
  3. Looking ahead, Intel has plans for even more advanced chips, combining their AI technology with GPU power. This hints at more innovations coming in the future.
Navigating AI Risks • 39 implied HN points • 04 Jul 23
  1. Export controls on semiconductors are evolving due to the blurred distinction between 'weapon' and 'non-weapon' technologies, impacting US-China relations.
  2. Concerns about monopolistic practices in the AI industry are rising due to the consolidation of well-funded firms and competition strategies.
  3. Compute governance, focusing on data, computing power, and algorithms, is crucial for governing powerful AI systems and ensuring safety in international cooperation.
aidaily • 39 implied HN points • 05 Jun 23
  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
The Chip Letter • 95 HN points • 21 Feb 24
  1. Intel's first neural network chip, the 80170, achieved the theoretical intelligence level of a cockroach, showcasing a significant breakthrough in processing power.
  2. The Intel 80170 was an analog neural processor introduced in 1989, making it one of the first successful commercial neural network chips.
  3. Neural networks like the 80170 aren't programmed but trained like a dog, opening up unique applications for analyzing patterns and making predictions.
Sector 6 | The Newsletter of AIM • 19 implied HN points • 11 Aug 23
  1. Big Tech companies are finding clever ways to use internet data for their AI projects, even with new copyright laws in place.
  2. Semiconductor companies are developing chips specifically for the Chinese market that almost meet US rules, showing a creative approach to regulations.
  3. Generative AI tools like GoogleBot and GPTBot are accessing online content unless website owners clearly say no, which raises questions about data usage.
Artificial Ignorance • 67 implied HN points • 21 Feb 24
  1. Adding 10x capacity to a system unlocks new capabilities and prevents breaking, leading to fundamental changes.
  2. Gemini 1.5's 10x larger context window enables tasks like analyzing entire codebases, filtering massive datasets, and potentially building AI with better memory.
  3. Groq's custom AI chips achieve lightning-fast token generation, paving the way for real-time AI conversations, enhanced data handling, and possible use in finance, medicine, and robotics.
Harnessing the Power of Nutrients • 19 implied HN points • 06 Sep 22
  1. MASA chips are part of an exclusive discount program for Masterpass members, offering 10% off with a coupon and 10% back as a rebate.
  2. The tracking method for the discount is through coupons, with an email subject line: 'MASA Rebate Request'.
  3. To purchase MASA chips and avail the discount, use coupon code: MASTERJOHN.
Dr. Pippa's Pen & Podcast • 30 implied HN points • 23 Nov 23
  1. Sam Altman's vision includes building an integrated supply chain for AI.
  2. Altman wants to combine AI with powerful chips and phones designed by LoveFrom.
  3. Cerebras Systems is key in developing advanced AI chips for Open AI's superintelligence vision.

#35

The Nibble • 7 implied HN points • 26 Nov 23
  1. Facebook expressed involved in their AI chips business.
  2. OpenAI released ChatGPT with voice available for all free users.
  3. Bill Gates suggests AI advancement may lead to a 3-day work week.
Why You Should Join • 4 implied HN points • 05 Feb 24
  1. Demand for AI hardware is high due to the popularity of transformer models and the shortage of chips capable of efficiently running them.
  2. Etched is developing a specialized chip, Sohu, optimized for fast and efficient transformer inference, outperforming general-purpose AI chips.
  3. Etched has a strong technical team and rigorous verification process in place to ensure the success of their unique chip design for the transformer-heavy AI landscape.