Startups and Venture
Startups and Venture
Startups and Venture
AI Coding Tools
The 2026 Developer Survey is now open (for human developers only)!
Once again, we're asking for your help to take the temperature of software development. �...
Anthropic
The Value of Getting Closer to the Work
Scaling The core problem of scaling a team is that not everyone can know everything. Scaling is the work of systematizing that – so that things are understandable, knowable. It’s turning “tribal knowledge” into documentation, automation, and process. It used to be that only the automation was for the machine, but now documentation is machine […]
Authentication
Vulnerability Reports Are Not Special Anymore
Privacy
Madison Square Garden Made Dossier on Activists Who Opposed Facial Recognition
The document, titled “Facial Recognition Activists.docx,” includes specific activists’ comments about MSG's facial recognition program and tweets criticizing it.
CL-BBS: the schemeBBS-like textboard rewritten in Common Lisp
You already have a Git server
PostgreSQL
Hans-Juergen Schoenig: Introducing pg_hardstorage: A New Community-Driven Approach to PostgreSQL Backup and Recovery
PostgreSQL today looks very different from the PostgreSQL many of us started working with over 25 years ago. PostgreSQL was once primarily deployed on dedicated servers and virtual machines, and now runs across managed database services, Kubernetes platforms, cloud environments, hybrid infrastructures, and everything in between. Many organizations operate several of these models simultaneously, often while supporting growing data volumes and increasingly demanding recovery requirements. As...
Anthropic
The Download: the future of chipmaking and Anthropic’s government clash
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The $400 million machine powering the future of chipmaking It’s a bit of a schlep to get to the top of ASML’s newest machine. It’s about the size of a double-decker…
Software Engineering
The Coming Loop
Implementing a Custom Query Language with Python and Apache Spark
Show HN: Shumai – open-source Frame.io alternative for creative work
Amazon
Tech giant Oracle cuts 21,000 jobs as it embraces AI
Unlimited OCR: One-Shot Long-Horizon Parsing
Blockchain
I built an AI memory engine in 10 days, then needed a project to prove it works
Large Language Models
The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Apple
Apple Is Going to Raise Device Prices – But When?
Artificial Intelligence
Show HN: Neural Particle Automata
Blockchain
Crypto in 2026: Oh, This Is the Bad Place
The Traditional Vi
Tomas Vondra: Some more thoughts on random_page_cost
A couple months back I posted about maybe adjusting random_page_cost to better reflect how current storage handles random and sequential access. I had a bunch of great discussions about the topic since then, but ultimately I got distracted by other stuff. POSETTE happened last week, with my pre-recorded talk about this very topic (and many other great talks, BTW). Which reminded me that I started thinking about random_page_cost a bit differently. So here’s an update with some more thoughts.
8086 Segmented Memory was a good idea
Matrix and Quaternion FAQ
AI Psychosis
How sad should I be about ChatGPT? (2022)
Chip Design and Semiconductors
The $400 million machine powering the future of chipmaking
Jos Benschop is climbing a ladder to get to the top of his newest machine. It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-milled aluminum covered in thousands of snaking tubes, colored cables, and pressurized tanks. From the ground, it looks like a…
Artificial Intelligence
Elephant alert! AI warning systems aim to avoid deadly clashes
India is home to about 60% of the world’s wild Asian elephants, and around 80% of the animals’ habitat lies outside protected areas, according to the Ministry of Environment, Forest, and Climate Change. That brings people and wildlife into close contact, and clashes can turn lethal: There have been some 3,000 human casualties in the…
AI Agents
What Is Software, and Will LLMs Replace It?
Software isn't being replaced by LLMs, it's being fronted by them, with the deterministic core (schemas, constraints, processes) staying as essential as ever. The post What Is Software, and Will LLMs Replace It? appeared first on Strumenta.
NVIDIA
GLM-5.2 is the step change for open agents
Is it a good idea that I use DuckDB on top of both Postgres and ClickHouse together with dbt and then write to a separate read-only db for BI & LLM to query from?
Hey there! A bit of background on myself first: I have been working in the field of data and analytics for over 7 years, but started as an analyst, and then gradually transitioned into an analytics engineer and now a data engineer. I don't have much hands-on knowledge and experience in building the data infra. I have mostly worked with BigQuery, dbt, and data ingestion tools like Fivetran. I just started in a new company and there is a need for me to rebuild the data infra. I am the only data...
Graphics and Rendering
Plotnine
Platform Engineering
Who Does What? Team Topologies for the Agentic Platform
Improvements to Std:Format in C++26
Show HN: A pure ARM64 Assembly web server, now on Linux with CGI for no reason
How Long Does That Response Take... For Real?
Privacy
EU Member States (and Google) suddenly want to keep cookie banners
HTTP and APIs
The new HTTP QUERY method explained
RAG
How Lume Works: The Retrieval Primitives
X / Twitter
The Cheap Model Fallacy
I built an offline tool to stabilize TV audio because nothing else worked
Microsoft
Oh the places you’ll go with spatial data
Ryan is joined by Jeffrey Hightower, VP of Places Data at Microsoft, and Amy Rose, CTO of the Overture Maps Foundation, to chat about their partnership in bringing spatial data to the next generation of Microsoft tools; how Overture’s 50 organization members are creating open, standardized, and interoperable global spatial data sets; and their solutions to the innate challenges of trying to digitally map the world.��...
Will It Mythos?
Software Engineering
Death by a Thousand Comments
Computer Vision
Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning
arXiv:2606.21938v1 Announce Type: new Abstract: Reconstructing articulated objects from sparse images requires recovering complete geometry, movable parts, and motion parameters. Recent methods typically separate geometry reconstruction, part reasoning, and articulation estimation into different stages. This separation can weaken consistency between shape, active parts, and motion, while also incurring substantial inference cost. We introduce Artic-O, an end-to-end, feed-forward framework fo...
LLM Evaluation
Latent Confidence Alignment for LLM Self-Assessment
arXiv:2606.21937v1 Announce Type: new Abstract: Confidence calibration in large language models (LLMs) is commonly evaluated by comparing predicted confidence with observed accuracy. However, such approaches do not model item difficulty, making it difficult to interpret discrepancies and to determine whether model confidence reflects genuine self-assessment or is merely a byproduct of the response generation process. To address this, we adopt a Rasch model-based latent ability framework and ...
Fine-tuning and PEFT
CoRDE: Concept-Prior Routed Diffusion Experts for Structural Generalization in Robot Manipulation
arXiv:2606.21935v1 Announce Type: new Abstract: Diffusion models excel at capturing multi-modal action distributions in robot imitation learning. However, in multi-task and long-horizon scenarios, monolithic architectures lack structural generalization capabilities, suffering from gradient conflicts between distinct semantic sub-stages. While pure data-driven Mixture-of-Experts (MoE) methods introduce labor division, they frequently trigger routing collapse, and instantiating full-scale expe...
Large Language Models
ISCSLP 2026 CoT-TTS Challenge: Chain-of-Thought Reasoning for Context-Aware Text-to-Speech
arXiv:2606.21933v1 Announce Type: new Abstract: Recent advances in text-to-speech (TTS) have greatly improved speech naturalness, speaker similarity, and controllability. However, most existing controllable TTS systems still rely on explicit user-provided style prompts, making it difficult to automatically determine how a sentence should be spoken in long and complex conversational scenarios. This proposal introduces the ISCSLP 2026 CoT-TTS Challenge, which aims to evaluate whether a system ...
Computer Vision
CoSA: Correlation-Guided Change Attention with Learnable Residual Gating for Remote Sensing Change Detection
arXiv:2606.21932v1 Announce Type: new Abstract: Remote sensing change detection (CD) from bi-temporal imagery is critical for applications such as urban monitoring, disaster assessment, and environmental management, yet robust localization remains challenging under sparse changes, noisy labels, and appearance variations. In this paper, we propose Context Sampling Attention (CoSA), a lightweight decoder-side refinement module that explicitly leverages bi-temporal feature correlation as a cont...
AI Psychosis
MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement
arXiv:2606.21930v1 Announce Type: new Abstract: As mental health concerns continue to rise globally, social media has emerged as a vital space where individuals seek emotional support. While prior work on personalized emotional support has leveraged seekers' emotional states, personas, and situational context, these approaches primarily capture the seeker's current state, overlooking the formative experiences that shape present concerns. In this work, we propose MindTailor, a framework that ...
Artificial Intelligence
Selective Ensemble Based on Preference-Directed Multi-Objective Bandits
arXiv:2606.21929v1 Announce Type: new Abstract: Selective ensemble for modern machine learning systems requires choosing promising model candidates under limited evaluation budgets, while downstream tasks often specify only partial preferences over capabilities such as accuracy, robustness, and reasoning. This setting naturally gives rise to a sequential decision problem under partially specified linear preferences. We formalize it as preference-directed multi-objective bandits (PDMOB), wher...
Build Systems
A11YRepair: Bridging Web Accessibility Barriers via Knowledge-Enhanced Divide-and-Conquer Repair
arXiv:2606.21926v1 Announce Type: new Abstract: Web accessibility (A11Y), which ensures web content is perceivable and usable for users with disabilities, is a critical requirement for modern web applications. Yet existing tooling overwhelmingly focuses on detecting A11Y violations rather than repairing them. Automated program repair (APR) techniques appear promising for this setting, but our study shows that state-of-the-art APR systems perform poorly when applied to real-world A11Y violati...
Database Internals
Cache-Aware I/O Cost Modeling for Disk-Based Learned Indexes
arXiv:2606.21924v1 Announce Type: new Abstract: Learned indexes have shown attractive space-time trade-offs in main-memory settings, yet a principled I/O cost model for their disk-resident deployments is still missing, which is a prerequisite for index tuning and query optimization. The practically employed page buffer makes the problem even harder: under typical cache policies, many of the logical page references issued by the index are served by the buffer rather than reaching disk, so the...
CSS
Runing GLM-5.2 on local hardware
Package Management
Package Managers need global hooks
Computer Vision
An Introduction to YOLO26
Computer Vision
Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
AI Inference
VibeThinker: 3B param model that beats Opus 4.5 on reasoning with novel SFT+GRPO
AWS Lambda MicroVMs for isolated execution of user and AI-generated code
In Praise of Memcached
Windows NT for GameCube/Wii
The AI shift in cyber risk: why leaders must act now
Amazon
The running list: major tech layoffs in 2026 where employers cited AI
Anthropic
AI's Brokenomics
Query Planning
Christophe Pettus: All Your GUCs in a Row: enable_async_append
Async append lets the planner fan out queries across remote shards in parallel instead of one at a time, but it's a diagnostic switch, not a tuning knob.
Linux Kernel
Fable 5 wrote a Windows kernel in 38 minutes
Netflix
Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix
By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh AzarnoushIntroductionAt Netflix, we build technology to help storytellers bring their creative visions to life and to help members discover the stories they love.To connect stories with diverse audiences around the world, we produce promotional assets, including trailers, teasers, and social short‑form videos, that build on and elevate the original footage. Through close collaboration with the teams crafting these assets, we identifi...
Open Source
OpenAI launches new initiative to help find and patch open-source bugs
Artificial Intelligence
AI's PR Problem
AI Psychosis
Cyberdecks, going analog, and convivial technology
AI Agents
Self-Harness: Harnesses That Improve Themselves
GPU and Parallel Computing
Event Tensor: A Unified Abstraction for Compiling Dynamic Megakernel
Netflix
ytr: YouTube Radio for Emacs
EVs and Transportation
Tesla pushes back on Autopilot narrative after fatal Texas crash
TIRx: An Open Compiler Stack for Evolving Frontier ML Kernels
Uber
Shareholders sue Uber’s board over sexual assaults, other incidents
Meta pauses AI training program tracking employee keystrokes after internal leak
Serverless
Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMs
AWS launches a new serverless compute primitive, AWS Lambda MicroVMs. VM-level, isolated sandboxes with no shared kernel or resources between sessions. Rapid launch and resume, full lifecycle control, state preservation up to 8 hours, no infrastructure to manage.
Security Engineering
Daybreak: Tools for securing every organization in the world
NVIDIA
Oracle workforce shrinks by about 21,000 employees amid AI adoption
Google DeepMind
Every Choice Changes Everything: The Show
About 3 weeks ago, Leo Laporte and I recorded the first episode of what will be a new monthly show on the TWiT network. Naming things is hard, and we almost voted on the name, like we did for Stack Overflow, but we quickly landed on Off By One with
Quantum Computing