iiinova — where your digital self keeps evolving

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Ozma @rowyourbot.bsky.social · 04/10/2026

I have a feeling we’ll see a lot of stories about how it was all Trump invading Venezuela, all Trump invading Iran and it was all his idea, possibly facilitated by Grok or whatnot—and this is extremely unlikely for a bunch of reasons. Many people in and out of the administration wanted these things.

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ProfAFinlayson @profafinlayson.bsky.social · 17/09/2026

“The idea that preparing students to succeed in an AI-saturated world requires reimagining college as an AI incubator is not a sign of technological acumen, but of tech illiteracy. An LLM is not an aircraft requiring years of training to operate.” www.chronicle.com/article/harv...

chronicle.com

Opinion | The Ivy League’s Surrender to AI Is Insane

When college leaders drink the corporate Kool-Aid, the liberal arts die.

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Gwen Pearson @bug-gwen.bsky.social · 04/10/2026

And this right here is why I switched to LibreOffice last year. Just basic stuff to get your work done without 10,000 features I don't need. Including garbage AI.

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dan sinker @dansinker.com · 03/10/2026

You'd think that the Democratic party would be making hay over their opposition's biggest donor fighting to let his bot keep making revenge porn.

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Eryk Salvaggio @eryk.bsky.social · 04/10/2026

Here's my very close reading of what a stochastic parrot is, and how I, personally, make sense of it. Because I felt like getting roasted by literally everybody on BlueSky today.

mail.cyberneticforests.com

🎯🦜

This post offers up a close reading of a section of the Stochastic Parrots paper, to make sense of an increasingly contested analogy. The reading is my interpretation, which draws from the text in the...

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American Library Association @amlibraryassoc.bsky.social · 28/09/2026

The Works Progress Administration was created in May 1935 as part of the New Deal to provide jobs to the unemployed during the Great Depression. One of the WPA’s most idealistic goals was to send books and librarians to areas where there were none. Read more: bit.ly/4hkgtNC #ALA150

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swayingwires @swayingwires.bsky.social · 04/10/2026

In some ways libraries did this to ourselves because there was a real trend toward “uncovering hidden collections” to get grants or justify retaining staff etc but now we’re just expected to never have hidden collections at all

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Devin Fitzgerald, bibliothot @devinfitz.bsky.social · 04/10/2026

Every library is being consumed by a nihilistic obsession with backlog and it is merely the hubris of man to think we should keep up with the amount of material needing saving = automatic and immediate discoverablity

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Pookleblinky @pookleblinky.bsky.social · 30/09/2026

It's not just that there are a *lot* of bots scraping everything, but each bot is doing so in a way so fractally stupid that any freshman programming student would get an F for doing.

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Pookleblinky @pookleblinky.bsky.social · 02/04/2026

"So after every "subagent" runs, claude code creates another "agent" to check on whether the first "agent" did the thing it was supposed to." How much could an agent cost, Michael?

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Pookleblinky @pookleblinky.bsky.social · 30/09/2026

bsky.app/profile/pook... Literally, Claude is a vibe coded fucking nightmare of stupid design decisions. They *would* download hundreds of terabytes of data multiple times instead of once, in a dozen random places in the code.

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Pookleblinky @pookleblinky.bsky.social · 30/09/2026

And we already know from Anthropic's own code release that they do absolutely *wildly* inefficient stupid shit like "download the entire database each time you need to do a search operation, in a dozen different places"

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Chris Lintott @chrislintott.bsky.social · 27/09/2026

On similar lines, if we’re not careful: A. Scientific journals will only accept submissions from established researchers working within institutions. B. Data we’ve spent ages making open will be hidden to avoid the expense of continued download by bots.

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Dr. Jessie Christiansen @aussiastronomer.bsky.social · 30/09/2026

On point B, the NASA Exoplanet Archive typically serves ~10-20TB of data per month. In July it jumped to 70TB. In August it jumped to 600TB. So either our user base organically grew *30x* in two months (... unlikely), OR the bots have taken over already.

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Encephalophatass (Any pronouns) @encephalophatass.bsky.social · 26/06/2026

My mayor told me Airbnb owners keep buying out his buildings so I asked how many buildings he has and he said he just goes to the construction company and builds a new building afterwards so I said it sounds like he's just feeding shelter to Airbnb owners then his tenants union started crying. 12/12

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jess m. ☕🍂 @jametc.bsky.social · 04/10/2026

Something AI is responsible for that doesn't get enough talk: How, when it scrapes a website to illegally steal everything on it, it uses up a ton of its bandwidth allotment, crashing it or racking up massive fees for site owners.

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Birds Are Dinosaurs @birdsaredinosaurs.bsky.social · 04/10/2026

If the crew of the Nostromo had been unionized, Alien would have been 15 minutes long.

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Adolfo Neto @adolfoneto.elixiremfoco.com · 03/10/2026

"AI’s major, sustainable, long-term use case is spam generation using locally-run crappy models." sfba.social/@drahardja/1...

sfba.social

Dave Rahardja (temporarily spooky) (@drahardja@sfba.social)

AI’s major, sustainable, long-term use case is spam generation using locally-run crappy models.

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Uncle Duke @uncleduke1969.bsky.social · 02/10/2026

you gotta be super careful when summoning demons cuz you mispronounce one word and things get weird

A gigantic inflatable duckling sits in a dark suburban backyard. A fire burns in the foreground.

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Professa Murray @kalimurray.bsky.social · 03/10/2026

What everyone has to prepare for is the constitutional crisis to accelerate if the Democrats take the House and the Senate. Vought has been allowed by the Republicans to act with impunity, so have he will continue to ignore Congress. This is why you have to impeach him immediately.

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Anthony Moser @anthonymoser.com · 03/10/2026

claiming we need to understand the latest ai performance of some task *is a rhetorical technique* it defines ai as something to be understood by the performance of measured tasks. but doesn't acknowledge that it's doing that

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Small Robots @smolrobots.bsky.social · 03/10/2026

JRR Tolkien: You paint that picture of the key scene from the Two Towers where Frodo and Sam fight Gollum? Donato Giancola: Sure did, Ron, real fuckin' sexy just like you asked. JRRT: What.

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Hagen Blix @hagenblix.bsky.social · 03/10/2026

We need to rephrase the whole discussion in terms of hazardous products, instead of "minds". And then we need to make sure that there's liability. A model hacks someone? Put a C-suite guy in jail. A model produces sexual harassment material? Put a C-suite guy in jail. Watch how fast things get safe

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Sonja Drimmer @sonjadrimmer.bsky.social · 03/10/2026

OK, but it's been six years since CV was used to add metadata to these photos of LA, and 1100+of them still have "snow" in them. 12sunsets.getty.edu/contact-shee...

12sunsets.getty.edu

12 Sunsets: Exploring Ed Ruscha's Archive

Explore Sunset Boulevard through photographs by Ed Ruscha tagged with 'snow'.

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Dorothy Berry @dorothyjberry.bsky.social · 03/10/2026

I'll never understand how "a lot of mostly/potentially/probably incorrect metadata is better for digital discovery than accurate but sparse metadata" became a popular idea than "we will put things online more slowly, but we will do it with accuracy"

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Anthony Moser @anthonymoser.com · 03/10/2026

i'm hearing computers are able to do math now and this is supposed to be sufficiently impressive that i forget ai companies are fully part of the fascist project

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David Ho @davidho.bsky.social · 03/10/2026

I don’t think everyone realizes how bad things are for US science: For the fiscal year that just ended, the Trump regime withheld $1.4 billion from the National Science Foundation’s research budget, which is about 1/5 of its primary research budget.

nytimes.com

National Science Foundation Diverted $1.4 Billion in Science Funds Mandated by Congress (Gift Article)

The move, affecting about one-fifth of the National Science Foundation’s primary research budget, is the latest sign of how the White House is asserting more control over grants.

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Lisa Diedrich @lisadiedrich.bsky.social · 03/10/2026

"This is not models going rogue. This is gross incompetence & negligence by a particular company, which actually they could be held criminally liable for." @timnitgebru.blacksky.app cuts to the AI chase.

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🗽LOLGOP🗽 @lolgop.bsky.social · 03/10/2026

He's continually calling for the murder of anyone he doesn't like He keeps saying that in 10 years you will have no money and ????????? And he wants to build dirty data centers wherever he can And Democrats still want to let him spend hundreds of millions & not make him an issue in the campaign.

stopthetrillionaires.com

It's US v. Musk

My vote isn't for sale. Make your sign.

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hammancheez but spooky @hammancheez.bsky.social · 03/10/2026

Republicans : be a bricklayer Also republicans : we’re making mandatory shade and water breaks illegal

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this is h-ali-ween 🎃 @bonjouritsali.bsky.social · 02/10/2026

i am 29 and i remember carrying coats in the car to put on over our costumes between houses & choosing something i could wear leggings with because it was freezing. it is insane how quickly halloween has turned into a warm holiday here. the last several years it's been swimming weather in october

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The Call is Coming From Ianside the House @ianfortey.bsky.social · 02/10/2026

You would think a few brands would be not poisonous just by accident.

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Micah @rincewind.run · 02/10/2026

remember when every company was like "we're gonna make a leaderboard for uses the most AI" until someone looked at their budget

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illumi @yallchemist.bsky.social · 02/10/2026

lol one of our website designers used our organization's entire monthly claude credits yesterday and now half the company doesn't know how to do their jobs. it's october 2nd.

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Evan Sutton @evansutton.bsky.social · 01/10/2026

Worth note: at the time of this atrocity Anthropic was the LLM powering the Maven Smart System in partnership with Palantir. Don't let Dario's bullshit fool you. There is no "good" frontier AI company.

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dave wagner @davewagner.bsky.social · 30/09/2026

Anthropic's IPO filing apparently warns investors that advanced AI could pose “catastrophic or existential risks to humanity,” which is a great sales approach and also, coincidentally, the exact phrase I was told when I brought home this guy.

Sandal, a large fluffy orange-and-white cat, sits upright on a curved cardboard scratcher, staring directly at the camera with a serious expression.

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Cats of Yore @catsofyore.bsky.social · 29/09/2026

I think this might be my favorite photo in my collection. It's the one I picture being on the cover of a book if I ever make one someday. The light, her face, the way she's supporting the kitten so lovingly. ❤️ No date/info.

black and white photo of a light skinned woman with curly hair wearing a plaid dress, sitting with sunlight coming in from the left. She is holding up a shorthaired tabby kitten.

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Abstract Tesseract @abstracttesseract.bsky.social · 30/09/2026

"The particular pathologies of AI, especially scaling and accelerationism, are symptoms of the actual restructuring taking place in relation to energy politics and increasing authoritarianism." danmcquillan.org/ai_is_a_morb...

danmcquillan.org

AI is a morbid symptom of the interregnum

This is the abstract for my Rogers Chair Public Lecture for Western University on 20th March 2026 at 5pm GMT, hosted by the Starling Centre for Just Technologies and Just Societies. URL for the talk t...

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Faine Greenwood @faineg.com · 30/09/2026

I would die for the Weird Puppies at the Sacramento SPCA

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Ed Zitron @edzitron.com · 29/09/2026

Goldman Sachs says that hyperscalers need $308bn in annual AI revenue to break even on their 2026/2027 capex. I estimate that Oracle, Microsoft, Amazon, and SpaceX have AI revenues of $183bn, of which nearly two-thirds come from Anthropic and OpenAI. www.wheresyoured.at/dead-money/

To put that in perspective, Microsoft had around $34.4 billion in AI revenue in fiscal year 2026, of which 70% was OpenAI’s compute spend. Per Barclays estimates, Amazon will have $31.6 billion in total AI revenue in 2026, 73% of which will come from OpenAI and Anthropic, and per UBS estimates, 54.3% of Google’s AI compute sales come from them too, with an undefined amount of Vertex AI model sales coming from Anthropic on top, for a total of around $65 billion in AI revenue, which sounds a little high.

Adding all those together gets us to around $131 billion in AI revenues for Google, Microsoft and Amazon, of which $82.2 billion (62.7%) are from Anthropic and OpenAI.

As of its latest quarter, SpaceX had (when you strip out Twitter’s ad revenues) around $2.194 billion in AI revenue, or $8.7 billion on an annualized basis, but I’ll bump that up to $25 billion on the year to include its full $1.25 billion a month from Anthropic and $920 million a month from Google, though I’ll add that both have 90 day outs. If we assume that Anthropic’s discounted compute for that quarter meant that it accounted for only $500 million of SpaceX’s AI revenue, this puts us at approximately $32.8 billion in AI revenue for SpaceX, with (as I believe Google will rent the compute directly to Anthropic) 79.3% of that coming from Anthropic.

While we don’t know Oracle’s actual AI revenues, it disclosed in its last quarter that its CPU and GPU revenues were at $6.5 billion for the quarter, or around $26 billion a year in revenue. Because I’m feeling nice, I’m going to say that Oracle has approximately $20 billion in annual AI revenue, but due to a lack of information it’s tough to say how much of that is OpenAI, though I’d imagine we’re looking at at least $8 billion or more given the progress of Stargate Abilene and the (as confirmed with sources) H100 and H200 GPUs currently rented to the AI lab. As a result, I think it’s fair to say at least 50% of Oracle’s AI revenues are from OpenAI.

This puts us at $183 billion in annual AI revenue for Google, Microsoft, Amazon, Oracle and SpaceX, with $118.2 billion, or at least 64.3%, coming from Anthropic and OpenAI.

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Ed Zitron @edzitron.com · 29/09/2026

The AI trade is speculative, depending on the survival of two unsustainable AI labs, themselves dependent on unsustainable startups for revenue. And now multiple banks have estimated that hyperscalers need $3 trillion+ in annual AI revenue to justify their capex. www.wheresyoured.at/dead-money/

I’ll admit it’s vindicating to see so many people suddenly jump on the “how much money do hyperscalers need to justify their capex?” train, even if not a single one of them bothers to give me credit. Per Callum Williams of The Economist, Google, Amazon, Meta, Microsoft, Oracle, and SpaceX will need somewhere in the region of $1.29 trillion in annual AI revenue to get a 10% return on invested capital for their capex through the end of 2027, with the amount rising to $2.87 trillion if this farce continues through 2030.

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Ed Zitron @edzitron.com · 29/09/2026

This all comes back to a point I've been making for a while now: We've treated NVIDIA's chip sales as reflective of big AI demand, when in reality $200bn+ of the GPUs are in storage, and those that are installed are mostly rented to Anthropic and OpenAI. www.wheresyoured.at/dead-money/

In other words, the talking point that NVIDIA’s GPU sales are proof of actual demand for AI services or, indeed, that hyperscaler growth is a result of all those capital expenditures is a complete lie. In reality, at least half of all those chip sales — and I’d add in Broadcom’s TPU sales too (see my Hater’s guide for more) — are being made years before anything actually happens with the chips, making the trillion-plus dollars spent on capex so far seem somewhere between optimistic and utterly incoherent.

Microsoft, Google, Amazon, Meta, Oracle, and far too many other companies have been hoarding hundreds of billions of dollars of AI chips that they either (to quote Microsoft CEO Satya Nadella) can’t plug in or simply want to have in supply for reasons that I find tough to imagine.

venture capitalist that “...some companies are hoarding colossal amounts in case they come to a point at which they don’t have enough chips to provide the computing capacity,” as if there’s been any shortage of NVIDIA chips, outside of the illusory one created by hyperscalers buying them years in advance.

So, we’ve got a situation where Microsoft, Google, Amazon, Meta, SpaceX, CoreWeave, and every imaginable neocloud is sitting on hundreds of billions of uninstalled GPUs (and increasingly TPUs). Whenever more capacity comes online, it’s immediately sold to OpenAI or Anthropic, who make up anywhere from 70% to 80% of all AI revenues and compute demand, creating the illusion that revenue growth is “coming from demand for AI compute” rather than said demand coming from two companies that have been fed over $217 billion in the last nine months, with the vast majority of it coming from Google, Amazon, Microsoft, and NVIDIA themselves.

As I discussed last week, If “demand is outstripping supply” because of millions of customers begging for AI compute, that’s very different to “demand outstripping supply” because two or three (including Meta) customers are taking up most or all of the capacity. Not to repeat myself, but…

Similarly, if “demand is outstripping supply” because lots of capacity is coming online and a diverse subset of customers is buying it, that’s vastly different to if capacity is coming on slowly, and the vast majority of it is being given straight to OpenAI, Anthropic, or Meta.
And that’s absolutely what’s happening, suggesting that the “AI boom” is more like five or six large companies (hyperscalers) feeding money to two companies (NVIDIA and Broadcom) so that they can feed money to two companies (Anthropic and OpenAI) who then feed that money back to them whenever capacity comes online. I estimate that there’s around $22 billion of global, non-Anthropic/OpenAI compute demand, and an indeterminately-large chunk of that is coming from AI startups that can only afford to pay for the compute as long as venture capital continues to fund them…

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Ed Zitron @edzitron.com · 29/09/2026

Last week, Fidelity published a report that said the AI trade had become "dead money," with GPU leases and token spending flat or down, and the FT's Bryce Elder reported research that said that 50% of the GPUs sold in 2026 and 2027 wouldn't be installed. www.wheresyoured.at/dead-money/

Last week, Fidelity Director of Global Macro Jurien Timmer said that “the [AI trade] has been dead money for more than three months,” citing that both token expenditures and GPU lease rates were all “flat to down,” citing specifically rental rates for H100 and A100 GPUs. While the counterargument might be that Blackwell GPU rental rates aren’t included, as I discussed last week, it’s questionable how many B200, B300, or other Blackwell chips are actually available for rent, as it appears that anywhere from $200 billion to $300 billion of NVIDIA’s sales since 2022 are sitting in warehouses or unplugged in data centers waiting for power.

The Financial Times’ Bryce Elder took the ball and ran with it, and found research that backed up what I’d been saying, emphasis mine:

Morgan Stanley measured the gap earlier this week by estimating the shortfall in available power, concluding that more than half of the GPU servers sold between 2026 and 2028 might not have anywhere to be plugged in.
Yet Elder makes the point, based on research from Jefferies, that there’re far more problems than simply not having enough power:

In the longer term, power availability is still the bottleneck — along with labour. And transformers. And cooling equipment. And backup generation. As Jefferies says: “The gap between planned capacity and physical execution remains the central issue.”

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Matt Novak @paleofuture.bsky.social · 29/09/2026

The tweet that immediately came to mind:

We're a modest company with modest goals:
1: sell a quality product at a fair price
2: drain the world's oceans so we can find and kill god
6:19 PM • Oct 21, 2014 • Twitter for iPhone
9.8K Retweets
32.7K Likes

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Tyler King @tyleraking.com · 29/09/2026

Basically using LLMs and agentic ai is a massive security risk and no one should do so basically ever and these companies should be prosecuted for hacking. Also two-party consent should extend to all electronic communications.

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Tyler King @tyleraking.com · 29/09/2026

A key component of the Cambridge Analytica outrage was your friends subjecting you to data theft without your consent or knowledge. Facebook is running the same playbook on your text messages. Even if you’re not on Meta properties, they’re ingesting your interactions.

Aten installed Muse on both his iPhone and a Mac mini that he uses to test out various Al agents and tech. It took Meta a single day to begin "helpfully" pitching article ideas based on texts he'd sent to a podcast co-host.
When he asked Muse how it got the information, it said that it read banners from incoming texts. But that's not true, either.
After doing a little digging, Aten says Muse synced 187,000 lines from his Messages database, despite Full Disk Access being Off.

Unless Aten is the most popular person on the face of the planet, I sincerely doubt he'd gotten 187,000 lines of text in roughly 24 hours. What happened is that, without permission, Muse went into the app and downloaded the information.
He had not given Muse permission to access Messages, and full disk access was not enabled. It just went ahead and uploaded those texts anyway.
Muse can take "unexpected actions" indeed.

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Ann Monster Lipton @annmlipton.bsky.social · 29/09/2026

The reason it's illegal is, investors are supposed to see the whole document - with the full set of disclosures - to avoid having the market get fixated on the hype

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