Wednesday, October 7, 2026ArchiveSearchAsk the paper

The Computomatix Times

All the posts fit to save — curated from @computomatix's bookmarks & likes on X

Max Anderson Criticizes Google's Search Pricing and Keyword Changes

Max Anderson argues that Google's search revenue growth is artificial, citing the silent end of second-price auctions so advertisers pay their full bid and reduced keyword targeting precision. He calls these tactics extractive as LLM queries cannibalize legacy search volume, responding to Alphabet's Q2 results.

Original post · 4 min read
As someone who has personally spent $500k / mo+ on Google Ads for years, I can tell you with certainty:

This revenue growth in Search is artificial & extremely unhealthy for Google’s business long term

Search volumes are declining as legacy search is being increasingly cannibalized by non-monetized LLM queries

Google’s response?

Manufacture revenue growth via short-sighted, highly extractive, customer-hostile tactics. I.e. charge advertisers more for lower quality clicks, including clicks they do not want and explicitly did not approve Google to charge them for

A few examples to illustrate:

For all of its history until recently, Google operated on a 2nd price auction model

I.e. if you bid $5 CPC and the next highest bidder bids $1 CPC, Google charged you $1.01 for the click (one penny more than the 2nd highest bidder) rather than the $5 you bid

This was a genius move by Google early on as it incentivizes advertisers to input their true maximum willingness to pay rather than trying to play the game of bidding low and constantly adjusting to try to stay just ahead of the next highest bidder while still not paying too much

However recently, Google silently deprecated the 2nd price auction and began charging advertisers as much as their bid and budget caps allow, regardless of what anyone else is bidding

It’s a short-sighted cash grab at the expense of the long term health of the advertiser ecosystem

Making thing worse, Google also recently nerfed keyword targeting precision

Google previously had precise keyword targeting settings that allowed advertisers pick individual search phrases to bid on, defined down to the character w/ exact match or phrase match targeting

This was one of the core features that made search advertising magic, enabling advertisers to run extremely precise campaigns based on exactly what their target customer typed

But now, even if you bid on a specific term or phrase using the strictest exact
-match targeting settings, Google will show your ad across 1000’s of unrelated keywords, labeling them as as “exact match (close variant)”

The definition of “close variant” means whatever they want it to and changes constantly. The result is advertisers get billed for clicks that are totally irrelevant to their business and that their targeting settings explicitly forbid Google from targeting. Google does it anyway and there’s no ability to turn this off

So now exact match is broad match, and broad match is just meaningless spam

This is all very bad for advertisers, but for Google, it allows them to show your ad and bill you for clicks across 1000x more searches that were previously going unmonetized (mainly because they’re garbage queries no one wants)

This is how you grow revenue atop declining search volumes

Lastly, and perhaps most egregiously, Google quietly stopped respecting budget caps by a factor of 2x. For example campaigns we’ve been running for years with $1000 daily budget caps suddenly began spending $2000+ per day

And the extra spend is entirely on the garbage keywords Google arbitrarily throws in as “exact match (close variants)” which have no value to our business, but can’t be turned off

Google offers no refunds nor any recourse for overspend or spend on keywords you explicitly did not target

These are not the actions of a healthy business. These are the actions of company whose core business is in decline but desperately needs to pump quarterly earnings so Wall Street will continue to fund insane capex while hopefully looking through their rapidly deteriorating negative free cash flow

Google operated a benevolent monopoly for the better part of 25 yrs

Meaning the value Google captured from Search was but a small fraction of the value it created, and that spread produced a potential energy that justified expectations of high earnings growth far, far into the future

This is now no longer the case

At the alter of AI capex, Google is sacrificing the golden goose
Sundar Pichai @sundarpichai
Q2 was an amazing quarter, with our AI investments redefining what’s possible across every part of our business.

Alphabet revenue grew 24% YoY and Google Cloud accelerated to 82% growth. We saw exciting momentum across the board from Search to YouTube to the Gemini app (which reached 950M monthly active users). Our model APIs are processing 22B tokens/min (up from 16B+ last quarter) driven by our workhorse Flash models. We’re also seeing great adoption of Gemini Enterprise, used by 90% of the Fortune 100, as well as strong demand for our security solutions.

Outstanding results and momentum, …
♥ 9.5K · ⟲ 1.1K · 👁 2.8MView on X ↗

More in Business & Markets

Michael Burry Warns Circular AI Financing Among Eight Firms Could Unravel

Michael Burry Warns Circular AI Financing Among Eight Firms Could Unravel

A tracker account relays Michael Burry's view that $573 billion in AI financing over the past year runs through eight companies that lend to, guarantee and buy from one another. Burry compares the setup to the 2000 telecom fiber bust and warns guarantees could be called if AI revenue disappoints.

Original post · 1 min read
Breaking: Michael Burry says the AI boom is running on one giant loop and time is running out

Here's his breakdown:

1. Burry shared a report from Wall Street lender Ares tracking $573B of AI financing from the last 12 months

2. All of it runs through just 8 companies: Meta, Oracle, Microsoft, Amazon, OpenAI, Anthropic, Broadcom and Nvidia

3. They lend to each other, guarantee each other's debt and buy from each other, so one company's loan is backed by another company's promise to keep spending

4. Every deal depends on one thing: AI spending never slowing down

5. If AI revenue disappoints for even one season, the guarantees could all get called at once, right when the companies backing them are at their weakest

6. Burry says it's the same circular financing that turned the 2000 telecom fiber boom into a bust

Burry claims the stock market in the first stage of grief and the crash is soon
♥ 4.6K · ⟲ 1.3K · 👁 343.9KView on X ↗

Navy Pays Anduril $2.9 Billion as U.S. Submarine Capacity Lags

The post argues the Navy turned to Anduril because only two U.S. yards build nuclear submarines and deliver far below the required rate, with China's shipbuilding capacity vastly larger. Anduril is investing $3.7 billion in a new Sparrows Point shipyard, Arsenal-2, with operations planned for 2030.

Original post · 1 min read
The US Navy just paid $2.9 billion to a company that has never built a submarine. Here's why they had no choice.

America has exactly two shipyards that can build nuclear subs. Electric Boat in Connecticut. Newport News in Virginia. The Navy needs two Virginia-class boats a year from them. They deliver 1.1.

Then it gets worse. Under AUKUS, America promised to sell Australia 3 to 5 Virginia-class submarines starting in the early 2030s. We signed a deal to export a product we can't build fast enough for our own fleet.

And the number behind all of it comes from the Navy's own intelligence office. China's shipbuilding capacity sits around 23 million tons a year. America's is about 100,000 tons. 230 times larger. One Chinese shipbuilder, CSSC, built more commercial tonnage in a single year than every American yard combined has built since World War II.

Both incumbent sub yards carry backlogs stretching past 2040, and the supplier base behind them shrank by thousands of companies after the Cold War. You cannot order your way out of that. There was physically no third option to call.

So the Navy invented one. Anduril adds $3.7 billion of its own money, breaks ground on the bones of Bethlehem Steel at Sparrows Point, once the largest steelworks on earth, shuttered in 2012, the yard complex that fed the fleet that won WWII. Hiring starts in 2029. Operations in 2030.

Four years from announcement to first output, and in American shipbuilding that counts as a sprint.
Anduril Industries @anduriltech
Anduril is investing $3.7B into Arsenal-2.
The next great American Shipyard.
♥ 236 · ⟲ 21 · 👁 18.1KView on X ↗

Huawei and Qualcomm Sign Broad Patent License, Cross-Licensing Deal

Huawei and Qualcomm announced a multi-year patent license agreement with cross licenses covering 5G, compute, AI and networking, plus Qualcomm's purchase of certain Huawei U.S. patents. Arnaud Bertrand calls it a notable outcome given U.S. efforts to cut Huawei out of those fields.

Original post · 1 min read
This is genuinely incredible: Huawei survived the most aggressive assault against a single company in modern history and is coming out the other side with the U.S. licensing its technology.

And ironically in the exact domains - 5G, AI, compute, networking - that the U.S. tried to cut Huawei out of.
Huawei @Huawei
Huawei and Qualcomm have announced a multi-year, broad patent license agreement that includes cross licenses to the companies' patent portfolios across a range of fields, including 5G, compute, AI, and networking, together with Qualcomm's purchase of certain Huawei U.S. patents.
♥ 5.8K · ⟲ 1.1K · 👁 161.0KView on X ↗

a16z Argues Flexible Data Centers Could Bypass Texas Grid Queue

a16z Argues Flexible Data Centers Could Bypass Texas Grid Queue

a16z's Ryan McEntush argues that data centers agreeing to curtail power during peak hours can connect to congested grids sooner. He cites Texas's queue growing to 474 GW, about 90% of it data centers, and estimates 100 GW of flexible capacity could be added without new plants.

Original post · 1 min read
Left: Texas's grid only maxes out about 200 hours a year, roughly 2% of the time.

Right: New data centers that agree to cut back during peak hours can skip the wait for more capacity. US grids could add 100 GW of them without building a single new plant.

a16z's @rmcentush on how flexible data centers get onto the grid sooner: a16z.news/p/why-texas-is-making-data-centers
Ryan McEntush @rmcentush
Why Texas Is Making Data Centers Wait — At the end of 2024, Texas’ grid operator had 63 GW of large new customers in its queue. By this June, that figure reached 474 GW, more than five times record peak demand, about 90% of it data centers.
♥ 122 · ⟲ 23 · 👁 19.4KView on X ↗

Larry Ellison Signs $40.4 Billion Guarantee for Warner Bros. Deal

Aakash Gupta reports that Larry Ellison signed a $40.4 billion personal guarantee to back the Ellison family's roughly $111 billion acquisition of Warner Bros. Discovery after Paramount's purchase, outbidding Netflix. The combined company, to be called Skydance, would include major studios, news networks and a 15% stake in TikTok's US entity.

Original post · 1 min read
A dad just signed a $40.4 billion personal guarantee so his son could buy Hollywood.

In 14 months, the Ellison family bought Paramount for $8 billion, then won a bidding war against Netflix for Warner Bros. Discovery at roughly $111 billion. Warner Bros, Paramount, CBS, HBO, CNN, DC, Nickelodeon, and TNT Sports now sit under one roof. Next week the combined company takes the name Skydance.

Netflix should have won. Warner's board had already signed an $83 billion deal with them and rejected the Ellisons twice, because the money sat in a revocable family trust the board called "illusory."

So Larry Ellison, 82 years old, answered with an irrevocable personal guarantee of $40.4 billion. One signature.

For scale, Larry has sold about $4.7 billion of Oracle stock this entire century. The guarantee was almost 9x everything he's cashed out in 25 years, backed by his 1.16 billion Oracle shares.

The merged streamer launches with around 207 million subscribers and $70 billion in projected annual revenue. And through Oracle, the family also holds 15% of TikTok's US entity.

Harry Potter, Top Gun, Batman, SpongeBob, Game of Thrones, CNN, CBS News, and a piece of TikTok's algorithm, all of it now answers to one family.
Valuetainment @valuetainment
JUST IN: HBO Max and Paramount+ are merging into a single streaming service.
♥ 545 · ⟲ 58 · 👁 77.9KView on X ↗

Valon Raises $150M Series D at $2.3B Valuation for Mortgage Software

Valon Raises $150M Series D at $2.3B Valuation for Mortgage Software▶

a16z reports that Valon raised a $150 million Series D at a $2.3 billion valuation after signing over $200 million in software deals, and describes how it became a regulated servicer before selling its platform to the industry.

Original post · 1 min read
.@Valon just raised a $150M Series D at a $2.3B valuation. Within six months of selling software, they signed over $200M in deals.

(And they're hiring!)

How the seven-year-old company got there:

- Mortgage is $13 trillion of consumer debt running on a system built before the internet, and no servicer will trust a new platform. So Valon became one.

- Co-founder Andrew Wang read every federal and state regulation, 18 hours a day for six months, and turned it into code.

- They ran their own servicer on the software until it hit 3x the industry's efficiency, sold that servicer to a larger mortgage company, and now sell the software to everyone else. One of the biggest servicers in the US is moving 4 million loans onto it, nearly 10% of the market.

Valon is hiring deployment strategists in NY and SF. Read more about their open roles: a16zjobs.substack.com/p/valon-just-raised-150m…

@xlindadu @wangandrewd
a16z @a16z
a16z's Angela Strange sits down with @Valon's Andrew Wang and Linda Du to unpack what it takes to rebuild the infrastructure underneath a $13 trillion mortgage market that still relies heavily on systems designed before the internet.

Linda and Andrew explain why Valon chose the hardest path: becoming a regulated mortgage servicer, translating decades of federal and state regulation into software, and proving the platform on its own loans before selling it to the industry. That foundation made Valon roughly 3x as efficient as traditional servicing and created the system of record it is now usi…
♥ 253 · ⟲ 22 · 👁 47.4KView on X ↗