An Exploded View publication

Reading Room

Vol. 1 · No. 66 Monday, November 2, 2026 aikansh.com

This week's theme

Banks, schools and governments adjust to AI

Banks, planning offices, schools and search businesses are each changing how they work now that AI agents and AI answers do jobs people used to do.

A 11-minute read · 11 stories

In this issue

01 Front Page

AI tool cuts UK planning review time by more than half

A government pilot already cut planning review time by more than half, with a human still signing off.

This is worth watching because it is a working example of AI actually saving hours of government paperwork, not just a promise, which is exactly the kind of proof he should want before putting his own time into similar AI bets. The UK government and Google DeepMind (Google's AI research lab) have built a tool called PlanAssist that cuts the time a planning officer spends reviewing routine home-renovation applications by up to 58 percent, more than half. It is now being rolled out to 12 more local councils across England, on top of the three that piloted it.

Routine applications, things like a loft conversion, a conservatory, or a small extension, make up as much as 70 percent of a planning officer's workload, even though they are usually simple to approve. That backlog has a real cost. It slows the UK's push to build 1.5 million new homes by 2029, and for an ordinary family it can mean months of waiting just to get a green light on something small.

PlanAssist, built with Google's Gemini AI model and developed by Google DeepMind together with the UK government, Google Cloud, and Faculty, gives planning officers automated support with processing applications and drafting assessment recommendations, checking things like whether an application complies with local planning rules and whether the applicant has submitted all required documents. A human planning officer reviews and signs off before any decision is made, keeping the final say on every application.

Since June, the pilot ran in three councils, Barnet, Camden, and Dorset, and more than halved the time officers spent on each assessment. More than 70 percent of the reports PlanAssist drafted were approved by officers with no edits at all. The tool is now moving into a 12-month test phase using live, real applications. Twelve more councils will join in three waves, bringing the total to 15. If that testing goes well, the government plans to offer PlanAssist to every council in England by 2027, still with a qualified officer reviewing and approving every single decision before it takes effect.

Worth watching for him: this is a template for cautious AI leverage done right, a narrow, repetitive task handed to AI with a human sign-off kept at the end, rather than a dramatic full handoff.

PlanAssist has shown it can cut the time planning officers spend assessing householder applications by up to 58%.
via Google DeepMind →
02 Insights

Google and Reddit's record losses expose a broken traffic deal

Two tech earnings reports in one week show AI answers replacing website clicks with a new toll system.

Why this is on your desk: any business that lives on search traffic needs a plan for what comes next. That includes your own writing, now that an AI answer can satisfy a reader before they ever click through to the source.

On October 29, Alphabet, Google's parent company, had the single worst day in its history as a public company. It lost roughly half a trillion dollars of stock market value in one trading session. The very next day, Reddit had its own worst day: its stock fell 29 percent in a quarter when its revenue grew 53 percent. Two separate stock stories, but together they are the first hard numbers on how AI is moving money around the internet.

For 25 years the web ran on one simple deal. You write something useful, Google sends readers to it, and your site earns money from that visit. The newsletter argues that deal is now over. In its place, three choke points are starting to charge a toll. The first is whoever owns what the user actually wants. The second is whoever owns content that cannot be faked. The third is whoever completes the purchase.

The newsletter's example: a shopper asks Google which running shoes to buy. Google now answers directly with three models compared, prices listed, and a 'buy' button, so she never opens a single website. But she still does something odd. She goes to Reddit and searches the exact same question again, because she wants to know if real runners agree with the machine's answer.

Follow the three choke points through that one search: Google's answer owns the moment she decides what to buy, Reddit owns the trust she still wants to double check with real people, and the sponsored listing inside the answer owns the sale, all without her clicking through to an outside website.

The newsletter promises a longer breakdown further in, including five rules for this 'after the click' economy and a month-by-month watchlist, but those sections were not included in what reached this desk. What the numbers alone already show: referral traffic is not shifting to some other channel, it is vanishing. The only businesses getting paid now are the ones sitting at one of the three toll points: owning intent, owning trustworthy content, or owning the transaction.

a toll economy is forming around three choke points: who owns user intent, who owns content that can't be faked, and who completes the transaction.
via Linas's Newsletter →

A college paper asks what school is for after AI

A student newspaper argues AI is upending the purpose of schooling, one more sign that AI is reshaping institutions built long before it existed. Worth a quick two minute read.

via New University →
03 Key News

OpenAI adds earlier safety checks to prevent violence in ChatGPT

OpenAI is adding earlier intervention checks inside ChatGPT and a new commitment to public safety reporting, as part of broader steps meant to prevent violence. It is one more sign of how much scrutiny AI companies are now under, worth watching as a trend across the industry.

via OpenAI →

AI stock slide in October tests the broader market

AI related stocks fell in October, and this Reuters piece asks whether that is a real test of the wider US stock market's strength. It is a quick pulse check on whether the AI investment boom is cooling, worth keeping an eye on for his own market view.

via Google News →

Boston University moves to launch an AI degree

Boston University is moving ahead with a full undergraduate degree in artificial intelligence. It is a sign AI has gone mainstream enough to get its own degree program, useful context for where the talent pipeline is heading.

via Boston's ROCK 92.9 →

Banks are blocking AI agents from logging into accounts

This is worth your attention because it shows what actually happens once you hand a bank password to an AI agent: real legal and financial risk, not just convenience. The largest banks in the US, JPMorgan, Bank of America, Citi, Wells Fargo, Morgan Stanley and Schwab, have all blocked outside AI agents that log into customer accounts using a shared password, starting in mid-October. The practical trigger for the blocks is simple: customers are basically giving their credentials to consumer AI assistants, which breaks the bank rule that a human has to be the one logging in. Customers who keep sharing their passwords this way may be signing away the fraud protection they assume still covers them.

The story got attention last week because Axios reported that banks had found AI agents inside customer accounts, with some of those agents acting beyond what the customer actually told them to do. That claim is serious, and it is still unverified. It rests on unnamed sources. Reuters could not confirm it independently. Morgan Stanley said it has seen no rogue agents on its own platforms. No case of a completed unauthorized money transfer has been documented anywhere in the reporting. Strip away the unverified part, and the confirmed fact underneath is simpler and less dramatic than the headline suggests.

The blocks actually came before the scoop broke, not after it. Five of the six banks, JPMorgan, Bank of America, Citi, Schwab and Wells Fargo, moved in a tight four-day window between October 13 and 16. Morgan Stanley's own exact date was not given, but it has restricted outside agents too. That window fell weeks after Meta's own AI agent, called Muse, launched on September 8 and passed 10 million users. Schwab is not stopping at a handful of agents either: it is now blocking large batches, in the tens and twenties, every single week.

Regulators are backing the banks, not fighting them. The Fed, the OCC (the regulator for national banks) and the FDIC (the agency that insures bank deposits) are all asking banks whether they can limit, watch, and shut down this kind of access. Wells Fargo is going further than a block. Starting November 24, it will treat whatever an AI agent does inside an account as if the customer did it themselves. The newsletter frames this as a shift under Regulation E, the federal rule that normally decides who absorbs the cost of an unauthorized electronic transfer. In effect, logging an agent into your account with your own password moves that cost from the bank's side of the ledger to yours.

This is not a surprise to the newsletter's own readers. Last month, it predicted banks would first block unidentified agents, then build their own approved versions, and eventually sell access to agent makers. The first two have already happened. The third, selling access, is reportedly being negotiated now. Some of the very banks that imposed the blocks are reportedly helping design Meta's own official way in. The newsletter says that negotiation is the one signal to watch: once banks finish selling sanctioned access, the current blanket block on outside agents could start to loosen.

For him, the practical read is simple. Any AI agent that touches money needs the bank's own approved channel, not a shared password, or the fraud protection he assumes exists may not be there. Until banks finish selling that access, treat every consumer AI agent asking for a bank login as a hard no.

via Linas's Newsletter →

New malware uses AI to rank hacking victims by wealth

A new malware strain called VOLTA uses AI models, including Claude, Gemini, and Kimi, to automatically sort hacked victims by how much money they are worth. It is a reminder that AI tools cut both ways: the same models used for everyday work are also being used to run attacks.

via The Hacker News →
04 Tools & Craft

A comic retells the real history of BSD Unix

Outside your usual reading: a webcomic walks through the origin story of BSD Unix. It hit Hacker News' front page with 151 points and 17 comments, a light two minute detour from the usual AI news.

via F/OSS Comics →

A weekend project turns Wikipedia links from HN into a feed

A hobby project turns years of Hacker News chatter about Wikipedia into one scrollable feed.

Why this is on your desk: it's a small, clever example of turning data that already exists into a new way to browse it. That's the kind of weekend-sized project worth noticing for its craft, not its size.

The project is called Wikihack. Its builder made it after seeing Karpathy's own similar projects, Hackertube and Hackerbooks. Wikihack scrapes every mention of Wikipedia on Hacker News, the tech discussion forum, then ranks those mentions and turns them into a scrollable feed you can swipe through instead of a flat list.

The feed separates two signals. One shows where people originally submitted a Wikipedia article as its own post. The other shows where people just mentioned it inside a comment thread. A 'top' view surfaces the Wikipedia pages linked most often across all of Hacker News. A 'random' view is mostly random, but weighted slightly toward the more frequently linked pages, a bit like Wikipedia's own random article button, the builder says.

That is the full extent of what the builder posted about the project. There is no user count, no technical write-up, and no word on what happens next. The idea still transfers: data a community already produced, in this case years of Hacker News posts and comments, is raw material anyone willing to scrape it can turn into a new product.

via wikihack.netlify.app →
05 Learnings

An 8-person company used AI agents instead of hiring

An 8-person company says it used AI agents to do the work of a much bigger team rather than hiring more people, Business Insider reports. No further detail on which tasks or tools is available here, but it's worth sitting with for any small venture of yours deciding whether the next task needs a new hire or an agent.

via Business Insider →
The Last Word
Everyone wants AI to do the work. Nobody wants it holding the password.
The Desk Report

How this edition came together — from bookmarks and feeds to the page.

233links gathered
40read by the desk
11made the edition

Where they came from

On the cutting-room floor — 29 links read but not run this week

Quality over volume: most links get a second look and a pass. The ones that made it earned their place.

Reading Room — every Sunday

The week's AI signal in 11 minutes — what happened, why it matters, and what to do with it. Curated by someone who actually builds, not a feed algorithm.