javi retweeted
Update: seems like GPT-6 finally accords with OpenAI's own model spec re: communicating uncertainty about consciousness (from some very quick tests on web only). Positive update, nice work @w01fe and team.
javi retweeted
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!
javi retweeted
Our workflow creates a ton of simulators; it’s crazy that Apple is not optimising how simulators work. Each simulator still owns its own Siri model, etc. Completely useless and a waste of space.
Lmao what a time to be alive
黑苹果又续命了!Intel芯片可以跑给M系列芯片编译的Mac专属软件了!
linuxkid473开源了Maclator,做了个“反向Rosetta”,让Intel Mac和黑苹果也能运行部分只提供ARM64版本的macOS程序。
测试环境:i5-4440+12GB内存+RX460黑苹果,系统macOS26.7。
ARM版VS Code、Chromium157、fastfetch、neatvi、AppKit实测都OK。
ARM指令先由解释器执行,热点代码通过JIT转成x86-64,再存进AOT缓存。
Metal调用桥接到本机显卡。ARM版Chromium用RX460,WebGL、WebGPU硬件加速开启,2D Canvas动画测试跑到60fps。
项目地址:
github.com/linuxkid473/macla…
javi retweeted
It's just next token prediction
it can never
Oops
Chomsky was wrong.
Researchers found your brain doesn’t store language the way every textbook since 1957 claims.
For decades, the undisputed rule of linguistics, led by Noam Chomsky, was that human language is hierarchical.
We were told our brains process language using complex "grammar trees." That we secretly build deep, abstract, mathematical rules in our heads before we speak.
This new paper proves that is completely wrong.
Researchers at Cornell University analyzed how people actually process and produce language in real time.
They found sequences. Linear chunks.
When we speak, we aren't calculating deep syntactic rules. We are just predicting the next most logical sequence of words based on the context of the words right before it.
We string linear chunks together.
If this sounds familiar, it should.
This is exactly how Large Language Models like ChatGPT work.
For years, critics have dismissed AI as "just a next-token predictor." They said it isn't truly intelligent because it doesn't understand deep grammatical hierarchies like humans do.
But this paper suggests humans don't use those hierarchies either.
We are just predicting the next chunk.
Language isn't a rigid tree of mathematical rules. It's a linear stream of contextual predictions.
We thought we were building AI to mimic the complexity of the human brain.
It turns out, the human brain was just running a simpler algorithm all along.
javi retweeted
China Twitter is wild
再强调一遍,浏览外网或翻墙被派出所传唤,根本不用慌。
首先是网警从流量监控系统中标记了你,然后会通知你当地的派出所片儿警将你传唤问话。
你的不当言论,会被打印出来,放在你面前。
你的手机,会要求解锁,他们会检查你在群里,聊天软件里还说了什么。
民警是很忙,但如果接到系统派发的工单,再忙也要处理,不然就一直挂在系统里,影响KPI了。
处理这种事,民警作为体制内打工人,他的自由裁量权很大的。你其实是增加他们工作量的一个小麻烦。只要好好配合,他们没必要跟你计较太多。
所以只要保证流程合规,上交资料完整,应付检查就行了。但你如果要装逼,摆出不合作的姿态,那不好意思,想整你的途径和方法太多了,哈哈。
去了之后,态度好一点,姿态低一点,开口说:“领导,不好意思,给你添麻烦了。”
然后最重要的是问话环节,他问你答。你不要没事找事,自己多说乱说。不知道、不了解、没做过的,直接就说不知道,别的一概不说。但你确实做过的,而且白纸黑字的放在你面前,那就不要抵赖。
不要说任何对抗性的言论。比如什么什么做的不对,所以我要批判。
如果你是因为不当发言被传唤,就说:“我理解错了意思,以为他在说什么,所以我才说了什么,表达有偏差。其实我不是这个意思。”
如果你是因为浏览了网站被传唤,就说我是不小心点到的,我一点开它就推送了,我也不知道为什么。
只要你态度好,把事情往小了说,一般也就是记录一下。没人愿意增加自己的工作量,对不对?
笔录确认没问题,签字盖章,这事儿就翻篇儿了。
千万不要装逼硬刚。
还有,虽然翻墙了,但什么该说、什么不该说,作为一个成年人,生在红旗下,长在春风里,接受了国家这么多年的教育,自己心里应该有点逼数。
毕竟你爸不是李刚,就算是,也不行。
javi retweeted
This never gets old (& also shows how hard forecasting AI is even for AI)
“Hey Claude Fable & GPT-6 Astra, Without looking anything up, when do you think we will solve the Exponential Time Hypothesis?” (I only show part of the answers for space)
javi retweeted
Updated my Duo “Lock when closed” automation so if an app is on screen, it won’t lock. But if you’re on the Home Screen and close iPhone Duo, it locks automatically
Same here. I guess I’ll get used to it. But I can’t shake off the feeling that Apple over-promised and under-delivered here? The Duo announcement seemed to claim that they had solved this with Only Apple Can™ engineering magic 🤷♂️
javi retweeted
Happy Pythagorean Theorem Day!
10/24/26
10² + 24² = 26²
This is the last one we’ll experience in our lifetime.
javi retweeted
3% of “critical” software security bugs, in all of recorded history, have been found in the last month.
This is on pace to find another ~100,000 bugs this year alone, adding ~26% more vulnerabilities to the all time total
Do you realize how fucking insane that is?
javi retweeted
WOW! It’s finally happened! Full offline static decryption of FairPlay encrypted AppStore apps. The broader implications of this are huge. The FairPlay components are insanely obfuscated and have been the subject of research for years. It actually might finally be completely over
HOLY SHIT?!! github.com/EthanArbuckle/fai…














































