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Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•31s ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•1m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•2m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•6m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•7m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•8m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•15m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•17m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•22m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
4•mooreds•22m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•23m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•25m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•29m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•31m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•31m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•32m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•33m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•34m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•35m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•35m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•40m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•42m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•42m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•44m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•45m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•45m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•47m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•48m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•48m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•48m ago•1 comments
Open in hackernews

Nvidia says its GPUs are a 'generation ahead' of Google's AI chips

https://www.cnbc.com/2025/11/25/nvidia-says-its-gpus-are-a-generation-ahead-of-googles-ai-chips.html
5•kjhughes•2mo ago

Comments

yanhangyhy•2mo ago
My biggest impression over the past couple of days is that I’ve been working too long and have forgotten just how huge Google’s technological advantages are. From college until now, I’ve always relied on Google Search, even though I hardly use their other products. When I started working, it was Google’s open-source MapReduce paper that shaped the big data industry. Then came containerization, then Google’s Kubernetes. Nowadays, the entire cloud computing industry seems to be based on Kubernetes, and our entire team develops on top of it. Even this wave of Google’s stock price increase has benefited our company, because we have partnerships with them.
belter•2mo ago
> Google Search

Unusable nowadays and monopoly that should be broken....

> Google’s open-source MapReduce paper that shaped the big data industry.

Experienced ETL practitioners laughed at that paper, knowing that was how DataStage and other Grid ETL platforms always worked. Imagine...spliting the data across nodes, working on it in parallel and then bringing it together...Oh my if was not for Google nobody would have thought about it...

> Then came containerization, then Google’s Kubernetes.

A platform full of security bugs, that they created because they lost the cloud wars:

Kubernetes: The Documentary [PART 1] - https://youtu.be/BE77h7dmoQU?t=122

https://k8s.af/

They forgot about multitenancy, and 11 years after, they still dont have it....

> entire cloud computing industry seems to be based on Kubernetes, and our entire team develops on top of it.

Your team needs to go out more....

chasing0entropy•2mo ago
Nvidia GPUs have always been a generation ahead of the rest... Because no one else has seen any value is developing GRAPHICS processors for gamers.

Nvidia had an edge in CUDA support but they were and are not anywhere near a generation ahead in CUDA acceleration.

Take a step closer to present with tensor processing and Nvidia is actually just getting started. GOOGLE has more experience with datacenter clustered TPUs and tensor acceleration; they are just waiting for the h100 to reach its peak lifecycle (~4 months) before they obsolete it and "release" a catch phrase and model number.