Sure sounds like Mozilla is planning on pushing ahead with “AI” garbage in MDN once the furore dies down.
“Can We Query the Root: The complexities of containment, overflow, and”
What I’ve been doing is use main as the primary container.
“Scams upon scams: The data-driven advertising grift”
This. Absolutely this.
“Language-Level Toll Roads - Jim Nielsen’s Blog”
I really disagree with this framing. The KV implementation in the Deno CLI is fully open source, backed by a sqlite db file that you can hook up to litestream and similar solutions. It’s a great feature in its own right.
“Deno 1.35: A fast and convenient way to build web servers”
I really enjoy working with Deno. Support for the official puppeteer package makes a big difference to at least a couple of my projects.
“Talking about a ‘schism’ is ahistorical | by Emily M. Bender | Jul, 2023 | Medium”
“Tiffin Tom: Fish, chips and a side of identity theft”
This is an amazing story about massive, criminal developer incompetence.
So, earlier today I published “The LLMentalist Effect: how chat-based Large Language Models replicate the mechanisms of a psychic’s con”
It explains my theory of the statistical illusion that makes LLMs feel intelligent to some
“Google Says It’ll Scrape Everything You Post Online for AI”
😬
“Gulls choose what to eat by watching humans, study suggests | Science | The Guardian”
This is deeply disappointing.
“On Hate Scaling Laws For Data-Swamps”
Highly recommended. This paper looks at the effects of scale on model bias and it looks like bias gets worse with scale. Which is unsurprising, TBH.
“That old WIRED ideology - by Dave Karpf”
If you’re too young to remember just how awful Wired used to be.
Always post the link when somebody points out just how awful Wired has historically been.
“Out and Proud for the Miners”
Great interview.
“Authors Sue OpenAI Claiming Mass Copyright Infringement of Novels – The Hollywood Reporter”
Completely unsurprising.
“ChatGPT maker OpenAI faces class action lawsuit over data to train AI - The Washington Post”
Always bear in mind that most tech companies have lost between 10-20% of their staff.
Moderation failures? Major outages? Poorly planned product launches? Obvious PR own goals?
Every major tech co is now showing the symptoms of having lost strategically important workers
Surprise! Who could have predicted this?