Exahash (@xahash) profile picture

Per aspera ad astra

Joined May 2012
Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)Photo by Exahash (@xahash)
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
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, and such an exciting moment—thanks to all of our partners and employees around the world! 🙌 About to hop on the call!
841
2,023
742
17,614
5,762,651
A forensic audit has uncovered false readings and widespread errors in the Bureau of Meteorology’s raw climate data, including blocks of temperature readings copied and pasted across different years and seasons, ­raising questions about the ­integrity of records used for climate analysis. Read the full article here: bit.ly/4yPqjNx
115
300
62
853
82,083
ZRO Updates More ZRO has been bought back and locked up than sold into the market. Institutions and buybacks have taken 19.77% of supply in 18 months, while 63.8% of ZRO unlocked to investors still hasn't moved. $112.7M has gone into ZRO buybacks since September 2025, one of the largest programs in crypto. ZRO is the only asset in the LayerZero ecosystem. All economic value from Zero, LayerZero, and Stargate flows back to it. Every token expresses a view. ZRO's first was that there'd be many chains, no single winner, and value would accrue to whatever connected them. Now LayerZero has moved $267B across 165 chains. The next view is bigger. Money and markets are the two largest waves finance will ever see, and both are already onchain. Zero was built for this moment. Coming this fall.
77
96
20
715
101,446
RAREPEPE “Nakamoto card” sold for 22.5E ($60,970.72) Congratulations to the seller and buyer @xPeaceLandBread Brokered by @official_coder via @gondixyz
35
15
4
170
6,702
NEAR INTENTS HALTS SERVICES AFTER BUG @near_intents estimates a $3.8M loss and pledges full compensation. It expects swaps back first, with deposits and withdrawals on 11 networks suspended for about 12 more hours. Read more here: thedefiant.io/news/hacks/nea…
4
6
1
26
13,517
LayerZero’s Three Pillars We built LayerZero on a unique insight we had incredible conviction in just over 6 full years ago – that the world of settlement ledgers would be multi-polar, and that the core asset base would rapidly expand. That has proven true on every possible level and we are still just scratching the surface. Stablecoins have grown 63x from $5B -> $320B since 2020, and are projected to be $3T by 2030. RWAs were not even a real asset class in 2020 ($16M worth of gold). They’ve grown 2,000x in the past 6 years to more than $33B and still have a holder-base on the order of just 1M people, which is just now starting to rapidly accelerate. And all of this used to happen on a single chain. Today the asset base, trading volume, and payments flows continues to diversify further year after year. The past six years of our business has been built around this pillar, and a bet that asset expansion and tokenization will continue to be one of the most powerful forces in finance. We’ve put our blood, sweat, and tears into making this acceleration more possible, more seamless and we will continue to bet our time and resources on being the most critical piece of infrastructure supporting this expansion. Now we’re finally ready to talk about our other two core pillars, why we built Zero, and what we plan to do with it. We now have an incredibly rapidly expanding asset base, one that’s expanding faster, not slower than ever before. This is an asset base that’s globally accessible, continuously available, and includes an increasingly large number of assets with sufficient depth and liquidity to build meaningful markets around. The second core pillar of LayerZero comes from our deep conviction that the demand for global markets will continue to expand. We believe that in order for that to happen we need technology that is as performant as existing platforms and can meet the regulatory requirements of the world's largest markets. Our embodiment of this belief is ATLAS. We have spent the past year working closely with the largest financial institutions in the world to create a platform that does exactly this. Millions of messages per second (NYSE-scale), microsecond latency, and built to serve both institutional and open markets globally. We are building ATLAS to do for global markets what interoperability and the OFT standard have done for global money. Our third core pillar is a fundamental belief that AI is going to reshape our entire world faster and at a larger magnitude than anybody could have possibly imagined. It’s clear to anybody now that agents are going to outnumber humans by a thousand-fold. It should also be clear to anyone that what this does to the world of commerce, finance, information, and the rails of the internet and payments we know today will be completely transformative. In order for blockchains to be able to scale to 10s or 100s of millions of TPS, there are a bunch of critical bottlenecks that need to be solved in storage, DA, replication of compute, network throughput, and many more. We’ve spent the last 3.5 years systematically dismantling each of these bottlenecks, and published the basis for each in February. We are building the only architecture in the world that is built for true global agentic scale. 100M+ TPS, agents as first-class citizens, native payment rails, and the world’s fastest blockchain. These are the three pillars that underpin all we’re doing at LayerZero, and they reflect our view of how we plan to help reshape the world.
36
44
6
336
37,517
Opus 5 is either like that scene in Her when the AIs stop talking in a language humans understand … then stop talking to us altogether. Or just producing over-verified verbose slop.
I don't know what the hell they did with Opus 5 but it's an absolute shitshow of a model. It just endlessly makes mistakes, goes off down rabbit holes, doesn't finish tasks. Creates new tasks you never asked it for and just ends up in an endless loop. It's a mess. @AnthropicAI
1
2
197
Games with satisfying tiles: Azul Bananagrams …
3
66
Exahash retweeted
Delight doesn't scale. That sounds like bad news for anyone trying to deliver world-class customer experience, but the best operators don't scale the delight. whitehot.ai/research/worlds-…
1
34
Exahash retweeted
CivilizationAI What Civilization teaches us about the traps of product development and why agentic AI tools are not going to take all our jobs whitehot.ai/research/civiliz…
1
43
Exahash retweeted
We’ve gone from side quests to vibe quests
1
1
245
Make Pluto Great Again
JUST IN: 10-year-old child writes to NASA Administrator, asking he re-instate Pluto's status as a planet. NASA responds "we are looking into this"
2
99
The Terence Tao episode. We begin with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion. People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops. But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long. During this time, what we know today as the better theory can often actually make worse predictions (Copernicus's model of circular orbits around the sun was actually less accurate than Ptolemy's geocentric model). And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don’t even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy! 0:00:00 – Kepler was a high temperature LLM 0:11:44 – How would we know if there’s a new unifying concept within heaps of AI slop? 0:26:10 – The deductive overhang 0:30:31 – Selection bias in reported AI discoveries 0:46:43 – AI makes papers richer and broader, but not deeper 0:53:00 – If AI solves a problem, can humans get understanding out of it? 0:59:20 – We need a semi-formal language for the way that scientists actually talk to each other 1:09:48 – How Terry uses his time 1:17:05 – Human-AI hybrids will dominate math for a lot longer Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.
106
536
120
3,857
1,192,070
Building something good right now. Not sleeping much. Forgetting to eat. Constantly thinking about it when not working on it. Feel like I’m flying through life.
1
2
85