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Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•1m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
1•Willingham•8m ago•0 comments

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

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•9m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•14m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
1•mooreds•15m ago•1 comments

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

1•Buttons840•16m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

1•pinkmuffinere•17m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•22m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•23m 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•24m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•24m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
3•archb•26m 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•26m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•27m ago•0 comments

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

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•27m ago•0 comments

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

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•33m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•34m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•35m ago•1 comments

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

1•otterley•36m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•37m ago•0 comments

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

https://davmail.sourceforge.net/
1•todsacerdoti•37m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•40m ago•0 comments

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

https://github.com/chinonsochikelue/tharos
1•fluantix•40m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•40m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•41m ago•1 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•42m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•44m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•44m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
1•paulpauper•45m ago•0 comments

Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•46m ago•1 comments
Open in hackernews

AI assistants make widespread errors about the news, new research shows

https://www.yahoo.com/news/articles/ai-assistants-widespread-errors-news-220841474.html
5•stefap2•3mo ago

Comments

stefap2•3mo ago
Some 72% of responses by Gemini, Google's AI assistant, had significant sourcing issues, compared to below 25% for all other assistants, it said.

Issues of accuracy were found in 20% of responses from all AI assistants studied

jqpabc123•3mo ago
These assistants are probabilistic, not deterministic. Results are not always correct or even consistent.

https://aicamp.so/blog/ai-output-inconsistency-enterprise-so...

Don't take my word for it, ask the assistants themselves:

   *Why are your results not consistent?*

   *My results may not be consistent because I am a probabilistic AI model.*
Considering the underlying processes, it would be much more surprising if they were highly accurate and consistent.

They really excel at only one thing --- generating verbiage that sounds plausible. Misleading the unsuspecting. Being factual is not their forte.

So before incorporating one of the most powerful foot guns in the world into your workflow, you should ask yourself one question, "Do you feel lucky?".