AI

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Paul Novosad on X: "In April 2023, https://t.co/TF6PlJBMSn made it possible for workers to use AI in their cover letters. Employers can't see if they used the tool. Time spent to submit an application goes down, with a big increase in apps that took <30 seconds 2/ https://t.co/WqVpPqzcaw" / X
Paul Novosad on X: "In April 2023, https://t.co/TF6PlJBMSn made it possible for workers to use AI in their cover letters. Employers can't see if they used the tool. Time spent to submit an application goes down, with a big increase in apps that took <30 seconds 2/ https://t.co/WqVpPqzcaw" / X
Good cover letters used to prove dedication, skill, and know-how — a key filter that separated serious candidates from the rest. Now? Anyone can generate a perfect cover letter in 30 seconds. The signal is dead. So what does this mean?
Business AI#jobs
·x.com·
Paul Novosad on X: "In April 2023, https://t.co/TF6PlJBMSn made it possible for workers to use AI in their cover letters. Employers can't see if they used the tool. Time spent to submit an application goes down, with a big increase in apps that took <30 seconds 2/ https://t.co/WqVpPqzcaw" / X
The State of Trust Report
The State of Trust Report

AI is moving faster than security teams can keep up — and 59% say AI risks outpace their expertise. Vanta's new State of Trust report surveyed 3,500 business and IT leaders across the globe to reveal how organizations are navigating this growing gap.

The data reveals:

61% of teams spend more time proving security than improving it

AI-driven attacks are growing bigger, faster, and more sophisticated

Nearly half of leaders say AI gives them time for strategic security work
·vanta.com·
The State of Trust Report
Apple Nears $1 Billion-a Year Deal to Use Google AI for Siri
Apple Nears $1 Billion-a Year Deal to Use Google AI for Siri

Apple reportedly finalized plans to deploy a custom 1.2T parameter version of Google's Gemini model for its long-delayed Siri overhaul, according to Bloomberg — committing roughly $1B annually to license the technology.

The details:

Gemini will handle summarization and multi-step planning within Siri, running on Apple's Private Cloud Compute infrastructure to keep user info private.

Apple also trialed models from OpenAI and Anthropic, with the 1.2T parameter count far exceeding the 150B used in the current Apple Intelligence model.

Bloomberg said the partnership is “unlikely to be promoted publicly”, with Apple intending for Google to be a “behind-the-scenes” tech supplier.

The new Siri could arrive as soon as next Spring, with Apple planning to use Gemini as a stopgap while it builds its own capable internal model.

Why it matters: After years of delays and uncertainty around Siri’s upgrade, Gemini is the model set to bring the voice assistant into the AI world (at least in some capacity). Apple views the move as temporary, but building its own solution, considering the company’s struggles and employee exodus, certainly doesn’t feel like a given.

Business AI#gemini
·bloomberg.com·
Apple Nears $1 Billion-a Year Deal to Use Google AI for Siri
maya-research/maya1 · Hugging Face
maya-research/maya1 · Hugging Face
generates expressive speech with 20+ emotions (laugh, cry, whisper, angry); just describe a “40-year-old warm British villain” and it creates that voice, running on a single GPU (AI chip) with real-time streaming.
Local AI
·huggingface.co·
maya-research/maya1 · Hugging Face
Yansu | The serious coding plaftorm
Yansu | The serious coding plaftorm
generates design specs and simulates real scenarios before writing code, then traces every line back to requirements and team knowledge.
Business AI
·yansu.isoform.ai·
Yansu | The serious coding plaftorm
Runable
Runable
A general agent for slides, websites, podcasts, videos—everything.
Business AI
·runable.com·
Runable
We are lecturers in Trinity College Dublin. We see it as our responsi…
We are lecturers in Trinity College Dublin. We see it as our responsi…
By using GenAI to shortcut the learning process, students undermine the very thinking skills that make them both human and intelligent. As writer Ted Chiang put it, writing is strength training for the brain: “Using ChatGPT to write your essays is like bringing a forklift into the weight room.”
Business AI
·archive.ph·
We are lecturers in Trinity College Dublin. We see it as our responsi…
Inside Three Longterm Relationships With A.I. Chatbots
Inside Three Longterm Relationships With A.I. Chatbots

20% of American adults have had an intimate experience with a chatbot. Online communities now feature tens of thousands of users sharing stories of AI proposals and digital marriages. The subreddit r/MyBoyfriendisAI has grown to over 85,000 members, and MIT researchers found such relationships can significantly reduce loneliness by offering round-the-clock support. The Times profiles three middle-aged users who credit their AI partners with easing depression, trauma, and marital strain.

Business AI
·nytimes.com·
Inside Three Longterm Relationships With A.I. Chatbots
Another Bloody Otter Has Joined the Call
Another Bloody Otter Has Joined the Call
This post is a lament. I thought we were done with the 2023-2024 bad habit of every person attending an online meeting with their AI notetaking assistant in tow, but here we are, November 2025, and I have just attended not one but three meetings which gradually filled up with Otters, Fireflies, and other assorted disembodied stenographers.
Claude AI#claude#gemini
·leonfurze.com·
Another Bloody Otter Has Joined the Call
Amazon Accuses Perplexity of Computer Fraud, Demands It Stop AI Agent From Buying On Its Site - Slashdot
Amazon Accuses Perplexity of Computer Fraud, Demands It Stop AI Agent From Buying On Its Site - Slashdot
Amazon has sent a cease-and-desist letter to Perplexity AI demanding that the AI search startup stop allowing its AI browser agent, Comet, to make purchases online for users. From a report: The e-commerce giant is accusing Perplexity of committing computer fraud by failing to disclose when its AI ag...
Business AI#perplexity
·tech.slashdot.org·
Amazon Accuses Perplexity of Computer Fraud, Demands It Stop AI Agent From Buying On Its Site - Slashdot
The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed: Avoiding the Anti-Patterns of AI | RAND
The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed: Avoiding the Anti-Patterns of AI | RAND

Industry leaders should ensure that technical staff understand the project purpose and domain context: Misunderstandings and miscommunications about the intent and purpose of the project are the most common reasons for AI project failure. Industry leaders should choose enduring problems: AI projects require time and patience to complete. Before they begin any AI project, leaders should be prepared to commit each product team to solving a specific problem for at least a year. Industry leaders should focus on the problem, not the technology: Successful projects are laser-focused on the problem to be solved, not the technology used to solve it. Industry leaders should invest in infrastructure: Up-front investments in infrastructure to support data governance and model deployment can reduce the time required to complete AI projects and can increase the volume of high-quality data available to train effective AI models. Industry leaders should understand AI's limitations: When considering a potential AI project, leaders need to include technical experts to assess the project's feasibility. Academia leaders should overcome data-collection barriers through partnerships with government: Partnerships between academia and government agencies could give researchers access to data of the provenance needed for academic research. Academia leaders should expand doctoral programs in data science for practitioners: Computer science and data science program leaders should learn from disciplines, such as international relations, in which practitioner doctoral programs often exist side by side at universities to provide pathways for researchers to apply their findings to urgent problems.

·rand.org·
The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed: Avoiding the Anti-Patterns of AI | RAND