> I will be suprised if companies like apple comply though They will. All tech companies already comply with India's IT Act. And India now manufactures 44% of all iPhones sold in the US [0] while facing the threat of a $38B anti-trust fine [5], so Apple doesn't have much of a choice because both China and Vietnam (the primary competitors for this segment of manufacturing) have similar regulations. Same with Samsung at 25% in CY24 [1] which is trying to further entrench itself in India [2][7][8] due to existential competition from Chinese vendors [3][6]. Heck, Apple complied with similar regulations in Russia [5] before the Ukraine War despite being a smaller market than India with no Apple manufacturing, engineering, or capex presence. All large companies who face existential threats from Chinese competition have no choice but to entrench in India as it's the only large market with barriers against direct Chinese players - ASEAN has an expansive FTA with China and Brazil is in the process of one as well. And the Indian government is taking full advantage of this to get large companies to bend to Indian laws, as can be seen with the damocles sword of tax enforcement on Volkswagen [3] while negotiating an FTA with the EU and a potential $38B anti-trust fine against Apple [4] while negotiating a BTA with the US. It's the same playbook China used when it was in India's position today in the late 2000s and early 2010s. [0] - https://scw-mag.com/news/apples-supply-shift-to-india-speeds-up-to-44-surpassing-china-for-the-first-time/ [1] - https://www.techinasia.com/news/samsung-to-broaden-manufacturing-portfolio-in-india-minister [2] - https://www.chosun.com/english/industry-en/2025/11/25/SLEYWTPTVRHBPPYPCNNEAP6CDQ/ [3] - https://www.digitimes.com/news/a20251118VL205/2030-samsung-sk-hynix-dram-ymtc.html [4] - https://www.reuters.com/sustainability/boards-policy-regulation/apple-contests-indias-antitrust-penalty-law-with-risk-38-billion-fine-filing-2025-11-26/ [5] - https://www.macrumors.com/2021/03/16/apple-to-offer-government-approved-apps-russia/ [6] - https://www.businesskorea.co.kr/news/articleView.html?idxno=235998 [7] - https://www.digitimes.com/news/a20250903PD208/samsung-india-investment.html [8] - https://www.digitimes.com/news/a20241212PR200/samsung-india-education-semiconductors-design.html
↙ time adjusted for second-chance
Spleen Monospaced Bitmap Fonts (github.com/fcambus)
Understanding is the thing that happens when your neurons coalesce into a network of signaling and processing such that it empowers successful prediction of what happens next. This powers things like extrapolation, filling in missing parts of perceived patterns, temporal projection, and modeling hidden variables. Understanding is the construction of a valid model. In biological brains, it's a vast parallelized network columns and neuron clusters in coordinated asynchronous operation, orchestrated to ingest millions of data points both internal and external, which result in a complex and sophisticated construct comprising the entirety of our subjective experience. LLMs don't have the subjective experience module, explicitly. They're able to emulate the bits that are relevant to being good at predicting things, so it's possible that every individual token inference process produces a novel "flash" of subjective experience, but absent the explicit construct and a persistent and coherent self construct, it's not mapping the understanding to the larger context of its understanding of its self in the same way humans do it. The only place where the algorithmic qualities needed for subjective experience reside in LLMs is the test-time process slice, and because the weights themselves are unchanged in relation to any novel understanding which arises, there's no imprint left behind by the sensory stream (text, image, audio, etc.) Absent the imprint mechanism, there's no possibility to perpetuate the construct we think of as conscious experience, so for LLMs, there can never be more than individual flashes of subjectivity, and those would be limited to very low resolution correlations a degree or more of separation away from the direct experience of any sensory inputs, whereas in humans the streams are tightly coupled to processing, update in real-time, and persist through the lifetime of the mind. The pieces being modeled are the ones that are useful. The utility of consciousness has been underexplored; it's possible that it might be useful in coordination and orchestration of the bits and pieces of "minds" that are needed to operate intelligently over arbitrarily long horizon planning, abstract generalization out of distribution, intuitive leaps between domains that only relate across multiple degrees of separation between abstract principles, and so on. It could be that consciousness will arise as an epiphenomenological outcome from the successful linking together of systems that solve the problems LLMs currently face, and the things which overcome the jagged capabilities differential are the things that make persons out of human minds. It might also be possible to orchestrate and coordinate those capabilities without bringing a new mind along for the ride, which would be ideal. It's probably very important that we figure out what the case is, and not carelessly summon a tortured soul into existence.
SEEKING WORK Location: Liverpool, England Remote: Yes (Remote only) Willing to relocate: No Technologies: C#, .NET Core, ASP.NET, SQL Server/MySQL/PostgreSQL/MongoDB/EventStoreDB/Redis, RabbitMQ/Kafka, CQRS/Event Sourcing, Azure/AWS. Résumé/CV: https://craigtp.co.uk/cv Email: craig [at] craigtp.co.uk Hi. I'm Craig. I'm an experienced Senior Software Engineer, Systems Architect and Microsoft Certified Professional with a passion for software development. I work primarily, but not exclusively, with Microsoft technologies and the .NET / .NET Core frameworks, leading complex and challenging enterprise software development projects to successfully deliver robust, secure, scalable and efficient software solutions, encompassing over 20 years of experience in the field. I'm passionate about distributed systems design, CQRS and event sourcing and a proponent of domain-driven design to ensure that solutions are laser-focused on solving real business problems. I'm an open source enthusiast and advocate using the best and most appropriate tools available, providing for an effective and pragmatic solution that delivers genuine and quantifiable business value. Throughout my career I've helped numerous businesses of varying sizes in varying industries get their technology investment right and I can do the same for you. Recent projects include: + Successfully lead a multi-team effort to re-engineer the core domain of a legacy monolithic application to a suite of well-designed, modern microservices utilising Domain-Driven Design, CQRS & Event Sourcing where appropriate for one of Africa's leading FinTech companies allowing them to scale their transaction processing from over 1 million active customers to over 10 million whilst simultaneously reducing their cloud spend by over 30%. + Successfully delivered large section of an ambitious project to re-engineer a number of monolithic applications to cloud-native, event-driven distributed services for a leading hospitality software provider as part of a company-wide effort to modernise entire software estate including training and mentoring staff on event-driven architecture and distributed system design. + Successfully designed & delivered large, global SaaS product to manage and automate music royalty collection and payment for one of the UK's largest and most demanding independent music publishers including full cloud geo-distribution & redundancy to ensure high availability & reliability for the worldwide client base. + Successfully lead project to develop industry leading anti-motor fraud web application and API with advanced OLAP & OLTP system and data warehouse including one of Europe's largest anti-fraud databases for a Top 40 UK law firm.
Location: San Francisco, CA Remote: OK Willing to Relocate: No Programming Languages: Ruby, Scala, Javascript, Python, TypeScript, Haskell, Scheme Programming Strengths: Data Structures and Algorithms, Data Engineering, Programming Language Theory, Type Theory, No-Code, AI&Prompt Engineering, Complex & Unusual Domains (Healthcare, Fintech, Music, Arts, Sciences) Frameworks, Databases & Tools: Vue, React, Rails, Flask, Postgres, HBase, MongoDB, Kafka, Jenkins, AWS, Docker Other Skills: Leading Teams & Managing Projects, Productizing LLMs, Managing Interview Pipelines, Architecting & Implementing Greenfield Solutions, Education & Team Growth, Leading Communication and Coordination Between Stakeholders Across Teams and Organizational Silos CV: Available Upon Request Email: poetic.artifice@gmail.com I am a seasoned (>15 years experience) full-stack staff-level software engineer specializing in the backend, systems architecture, AI, platform engineering, internal tools, prototyping, and data engineering. In addition to strong programming and architectural skills, I'm a force multiplier for any team in either role through the three T's -- teaching, talking, and tooling. I also hold a US patent in the AI space. In the past, I've taught a number of scientists and students to code in python; I've led and managed a number of high-impact engineering teams of up to 12; and pioneered a number of no- and low-code solutions for stream processing, data model and query generation, form building, workflow systems, and front-end construction for a variety of industries, including those with strong regulatory requirements and complex business rules such as healthcare and fintech. >10% of all medicare applications and millions of individuals currently flow through pioneering no-code systems I conceived and built and have ran in production for over a decade. More recently, I've built a no-code automated form-filler; a no-code web scraper (and an AI for generating such scrapers from a spec and 1-3 example urls from a page); and a workflow engine for coordinating LLMs and other generative AI processes, and on top of this a platform for both minimizing hallucinations and working with documents that are far too large for existing context window inputs or outputs using a novel, patented process that I invented; and applied these tools to various contracted projects requiring analysis and and cross-checking of information and other forms of integrity across textual and video/audio corpus data in a variety of domains (fiction and non-fiction). I am also an improvisational pianist, published poet, and I've created novel algorithms and tools for studying and composing both music and poetry, which I have given a talk on at a recent functional programming conference. I have extensive experience working for and running startups, software consulting shops, with some mid-sized company engineering experience as well; these give me a unique insight into speaking with customers and internal stake-holders, translating between engineering and other departments, gathering requirements, aligning stake-holders across departments on a vision and attainable timeline, and architecting/building/taking ownership over significant internal and customer-facing areas of responsibility. If any of the above seems like a match for you and your organization or project, don't hesitate to reach out. I am available for both short- and long-term contracts.
↙ time adjusted for second-chance
Isn't WSL2 just a VM? (ssg.dev)
Stellar ( https://stellarcs.ai ) | Founding Software Engineers | Amsterdam, the Netherlands | Full-time | No Visa Sponsorship Stellar is building the go-to AI voice agent platform for customer support, enabling incredibly human-like customer service over the phone. We're a young and rapidly growing startup that has already proven traction, with a number of well-known companies among our initial customers. To see some of our AI voice agents in action, see https://www.stellarcs.ai/demo-showcase We're looking for founding software engineers to help us scale Stellar's platform globally. As one of the first members of our engineering team, you’ll play a key role in Stellar's journey and have the opportunity to help shape our architecture, engineering culture and product and engineering roadmap. Tech stack: Go, Node.js, Typescript, React, Next.js, Encore Cloud, GCP What you’ll do: - Build performant APIs and backend services in Go and Typescript (Node.js) - Develop Stellar's frontend in React, TypeScript and NextJS, to allow companies to effectively design, test, deploy and monitor their AI voice agents - Design a scalable, fault-tolerant system architecture that can handle large volumes of concurrent real-time audio conversations & agent interactions while maintaining low latency - Work on Stellar's AI agent framework, at the intersection of software engineering and AI engineering - Design and implement a platform that meets enterprise standards in terms of security, compliance, resilience and data privacy - Build API integrations with external systems to enhance the capabilities of Stellar's agents - Help shape the early engineering culture as one of the first hires of a young and growing tech startup Why join: you'll be joining at a pivotal time in our growth, in a role with a high degree of ownership and strong growth potential. Join a small but talented team, coming from high growth startups and scale-ups such Framer, MessageBird and Adyen. More details about the role here: https://www.stellarcs.ai/careers/software-engineer Apply: Send us an email at info@stellarcs.ai, and mention you came from HN. Note that we do not provide visa sponsorship, and will only proceed with candidates who are able to work from our office in Amsterdam (~4 days in-office per week)
Location: Liverpool, England Remote: Yes (Remote only) Willing to relocate: No Technologies: C#, .NET Core, ASP.NET, SQL Server/MySQL/PostgreSQL/MongoDB/EventStoreDB/Redis, RabbitMQ/Kafka, CQRS/Event Sourcing, Azure/AWS. Résumé/CV: https://craigtp.co.uk/cv Email: craig [at] craigtp.co.uk Hi. I'm Craig. I'm an experienced Senior Software Engineer, Systems Architect and Microsoft Certified Professional with a passion for software development. I work primarily, but not exclusively, with Microsoft technologies and the .NET / .NET Core frameworks, leading complex and challenging enterprise software development projects to successfully deliver robust, secure, scalable and efficient software solutions, encompassing over 20 years of experience in the field. An accomplished team leader, mentor and architect, I'm skilled at taking a leading role in the overall architecture of a project, in driving team developments and employing proven industry disciplines and best-practices to deliver successful software projects that frequently exceed client expectations. I'm passionate about distributed systems design, CQRS and event sourcing and a proponent of domain-driven design to ensure that solutions are laser-focused on solving real business problems. I'm an open source enthusiast and advocate using the best and most appropriate tools available, providing for an effective and pragmatic solution that delivers genuine and quantifiable business value. Throughout my career I've helped numerous businesses of varying sizes in varying industries get their technology investment right and I can do the same for you. Recent projects include: + Architected and executed a comprehensive overhaul of a core legacy system, migrating it to a robust microservices architecture. By strategically applying Domain-Driven Design, CQRS, and Event Sourcing, we enabled a prominent African FinTech company to seamlessly scale from 1 million to 10 million active users while achieving a remarkable 30%+ reduction in cloud expenses. + Successfully delivered an ambitious project to re-engineer a number of monolithic applications to cloud-native, event-driven distributed services for a leading hospitality software provider as part of a company-wide effort to modernise their entire software estate including training and mentoring staff on event-driven architecture and distributed system design. + Designed & delivered a large, global SaaS product to manage and automate music royalty collection and payment for one of the UK's largest and most demanding independent music publishers including full cloud geo-distribution & redundancy to ensure high availability & reliability for the worldwide client base. + Spearheaded the creation of a groundbreaking anti-motor fraud solution for a prominent UK law firm. This industry-leading platform combined a user-friendly web application, powerful API, and sophisticated data systems, including Europe's largest anti-fraud database, giving the firm an edge in fraud detection.
Location: San Francisco, CA Remote: OK Willing to Relocate: No Programming Languages: Ruby, Scala, Javascript, Python, TypeScript, Haskell, Scheme Programming Strengths: Data Structures and Algorithms, Data Engineering, Programming Language Theory, Type Theory, No-Code, AI&Prompt Engineering, Complex & Unusual Domains (Healthcare, Fintech, Music, Arts, Sciences) Frameworks, Databases & Tools: Vue, React, Rails, Flask, Postgres, HBase, MongoDB, Kafka, Jenkins, AWS, Docker Other Skills: Leading Teams & Managing Projects, Productizing LLMs, Managing Interview Pipelines, Architecting & Implementing Greenfield Solutions, Education & Team Growth, Leading Communication and Coordination Between Stakeholders Across Teams and Organizational Silos CV: Available Upon Request Email: poetic.artifice@gmail.com I am a seasoned (>15 years experience) full-stack staff-level software engineer specializing in the backend, systems architecture, AI, platform engineering, internal tools, prototyping, and data engineering. In addition to strong programming and architectural skills, I'm a force multiplier for any team in either role through the three T's -- teaching, talking, and tooling. I also hold a US patent in the AI space. In the past, I've taught a number of scientists and students to code in python; I've led and managed a number of high-impact engineering teams of up to 12; and pioneered a number of no- and low-code solutions for stream processing, data model and query generation, form building, workflow systems, and front-end construction for a variety of industries, including those with strong regulatory requirements and complex business rules such as healthcare and fintech. >10% of all medicare applications and millions of individuals currently flow through pioneering no-code systems I conceived and built and have ran in production for over a decade. More recently, I've built a no-code automated form-filler; a no-code web scraper (and an AI for generating such scrapers from a spec and 1-3 example urls from a page); and a workflow engine for coordinating LLMs and other generative AI processes, and on top of this a platform for both minimizing hallucinations and working with documents that are far too large for existing context window inputs or outputs using a novel, patented process that I invented; and applied these tools to various contracted projects requiring analysis and and cross-checking of information and other forms of integrity across textual and video/audio corpus data in a variety of domains (fiction and non-fiction). I am also an improvisational pianist, published poet, and I've created novel algorithms and tools for studying and composing both music and poetry, which I have given a talk on at a recent functional programming conference. I have extensive experience working for and running startups, software consulting shops, with some mid-sized company engineering experience as well; these give me a unique insight into speaking with customers and internal stake-holders, translating between engineering and other departments, gathering requirements, aligning stake-holders across departments on a vision and attainable timeline, and architecting/building/taking ownership over significant internal and customer-facing areas of responsibility. If any of the above seems like a match for you and your organization or project, don't hesitate to reach out. I am available for both full-time positions and short- and long-term contracts.
Location: Curitiba, Brazil (I'm a US citizen traveling the world for 2 years) Remote: Yes Willing to relocate: Yes Technologies: TypeScript, JavaScript, PHP, Python, FastAPI, Redis, MongoDB, PostgreSQL, TimescaleDB, MySQL, React, React Native, NestJS, AngularJS, Backbone, Playwright, Drupal, Express, jQuery, D3.js, visx, GraphQL, Chrome extension, and AWS Résumé/CV: N/A Email: [HN username]@gmail.com My focus has been on browser automation and building browser agents since 2018, with 13 years of enterprise experience building dynamic data user interfaces for web and mobile. I have experience working at both medium 130 person AI companies and small, fast-moving 7 person teams wearing many different hats, which I prefer. I have been instrumental in taking multiple companies from 0 to 1, both as a consultant and as a full-time employee in media, real estate, marketing, streaming services, education, and fintech. Currently, I have a few side projects building Chrome extensions using VSCode’s core libraries. First is a fully automated algorithmic trading platform that uses a Chrome extension to control Robinhood and several information streams doing real time market intelligence using AI. [0] The second is recreating the Playwright / Puppeteer client API to use Chrome extension APIs and DOM APIs without the Chrome DevTools Protocol. I call it Cordyceps. [1] I look forward to speaking with you :) [0] https://github.com/adam-s/doomberg-terminal [1] https://github.com/adam-s/cordyceps
Like a lot of posts written by people who seem to think there's a JPEG XL-vs-AVIF "war", this post has a bunch of unfortunate mis-statements. JXL's war is not with AVIF, which is already a de-facto standard which has near-universal browser support, is enshrined as an Apple image default, etc. It's not going anywhere. That's not to say that JXL is bad or going away. It currently has poor browser support, but it's now finding its footing in niche use cases (archival, prosumer photography, medical), and will eventually become ubiquitous enough to just be what the average person refers to as "JPEG" 10 years from now. To address some of the more egregious claims made in the post: • "AVIF is 'homegrown'" – AVIF is an open, royalty-free AOMedia standard developed by the Alliance for Open Media (Google, Microsoft, Amazon, Netflix, Mozilla, etc.). • "AVIF is 'inferior'" – AVIF significantly better than JPEG/WebP in compression efficiency at comparable quality, and comparable with JXL in most scenarios. • "AVIF is ridiculous in this aspect, capping at 8,193×4,320." — Yes, JXL's theoretical maximum image size is bigger. The author cites AVIF's Baseline profile (think embedded devices) limit. AVIF itself supports 16,384×8,704 per tile, and its HEIF container format supports a grid of up to 65,535 tiles (so logical images sizes up to 1,073,725,440 wide or 283,111,200 tall). JPEG XL is good! Yes, it's far behind AVIF in terms of adoption and ecosystem, but that will improve. AVIF is likely to erase any JXL quality advantages with AV2, but both JXL and AV1/AV2 encoders will get better with time, so they're likely to be neck-and-neck in quality for the foreseeable future.
Oh I really enjoyed this one. Got a quick insight about how penicillin works: interferes with cell-wall building which is a destroy and recreate process by preventing the recreate part. Got a quick view into the scientific process and communication: Fleming focused on the insight - penicillium kills staphylococcus - and left out the circuitous detail. This is important so that the big win here is very clear. And got an insight into human nature and memory: Fleming didn’t tell the accidental contamination story until much later. It could possibly be even an idea someone else might have come up with which then took root in his mind (ironic haha!) The communication aspect reminds me of Mendel’s far too perfect ratios for his pea plants. That kind of “repeat till difference clear” statistics would be decried today but perhaps that was to communicate rather than to determine. And finally, I really enjoy reading about human process innovation because I think it’s a big factor in how Humanity grows. The lab notebook has to be some kind of star performer here - Fleming’s notes allow us to look back like this. When I experiment with things, I naturally lean to keeping notes on my test protocol, observations, and results. But not because of some personal genius. It’s just the standard way I was taught as a child in our science labs. I won’t claim to the rigor of a microbiology lab but even just the process notes help a lot, which is useful since I’m just testing molecules on myself.
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