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Chris K

@thekensta.bsky.social
98 followers 269 following 14 posts

scruffy looking ERD herder

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Chris K @thekensta.bsky.social · 06/10/2026
Took me 10 minutes to understand something using pen and paper when I could have spent an hour with AI to get it into my head 🎉
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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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Hypervisible @hypervisible.blacksky.app · 30/09/2026
Eugenics 🤝 ai www.nytimes.com/2026/09/29/h...
One of the things that is going to change is that we’re never ever again going to be able to be dominated by public officials who tell us, ‘Trust the experts,’” Mr. Kennedy said during the Tuesday session.

“If somebody tells you, ‘Masks work, trust the experts,’ A.I. may tell you otherwise,” he added. “If somebody tells you, ‘Social distancing works, trust the experts,’ A.I. may correct that. And if somebody tells you that a vaccine will prevent transmission and infection, or you need to take it to protect your grandmother, A.I. may say it actually doesn’t do that.”
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Ted Dunning @bsky.tdunning.com · 30/09/2026
This is a *really* good summary of the problem of the perceived authority of AI. The next-level problem is shills like RFK Jr who don't understand why this is a problem.
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Elise Thomas @elisethomas.bsky.social · 24/09/2026
If an individual did this, we'd treat it as a crime. We should treat this as a crime too, and hold OpenAI liable for what its models, under its supervision, did. www.abc.net.au/news/2026-09...
abc.net.au
OpenAI agent hacked Medicare portal, PM says
Anthony Albanese says he has spoken to the Open AI chief executive to express his concern about the incident and the length of time it took the tech company to inform the government of the breach.
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Micah @rincewind.run · 22/09/2026
I may still have more hours in this than any other video game - my parents were the “no violent video games” type and so I had no consoles or shooters but between this and Master of Orion 2 I played the absolute shit out of 4x
Sid Meier’s Civ 2
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Parody Nigel Farage @parodypm.bsky.social · 19/09/2026
Man who supported Brexit then fucked off to Monaco to avoid contributing a penny of his £15 billion fortune to public services makes the mistake of thinking anyone gives a shit what he thinks.
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Anna Gifty @itsafronomics.blacksky.app · 19/09/2026
It's very clear that companies are generating racist and sexist controversy as a brand strategy, e.g., Sydney Sweeney, Converse.
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Adam Becker @adambecker.bsky.social · 19/09/2026
@aoc.bsky.social just put out a great statement on AI. Refreshing to see a major politician on the left nail this. "Silicon Valley billionaires want us to believe that Al robots will destroy humanity. But the biggest threat to humanity are the tech oligarchs themselves." 🎯
Charles,

Last weekend, Dario Amodei, the CEO of Anthropic, one of the largest Al companies in the world, publicly asked his industry to slow down Al development.

Shortly after, Sam Altman, the CEO of OpenAl, followed suit. Then Elon Musk.

This all came days after an Anthropic researcher quit, citing his belief that this technology could wipe out humanity and that Al companies are "gambling with our lives."

For years, people have warned that generative Al could slip out of our direct control.

Those safety concerns must be taken seriously.

And this is why I have advocated for strict safety standards on how Al is built and deployed, public oversight over this technology, and using existing laws to hold these companies accountable when they cause harm.

But I want to draw your attention to another reality: Right now, the U.S. economy and our financial futures are riding on Silicon Valley's bet that Al will soon be immensely profitable and pay off. And that bet isn't looking good.

The formula for a profitable business isn't complicated: make more money than you spend. But the biggest Al companies aren't doing that. They are spending hundreds of billions per year on data centers, chips, and other costs while their ability to make revenues that exceed their already-immense sunk costs are unclear. Experts estimate that these Al companies will require another $600 billion of debt just to financethemselves in 2026 alone. That is more than the entire budgets of the U.S. Departments of Justice, Transportation, & Education combined.
Meanwhile, despite almost every single one of these companies not turning a profit & having sunk billions of investor dollars in development of data centers & other infrastructure, Al companies are also on a spending spree of hundreds of millions of dollars in lobbying & dark money in our elections.
It would be one thing if we were discussing a few private companies with a poor business model. But last year, virtually all stock market gains - 80% - rested entirely on just a handful of Al companies.
That tells us two things:
1. Nearly the entire U.S. economy outside the Al industry is relatively stagnating and faring poorly & the gains from these few companies are disguising it; &
2. Millions of people's retirements - including their pensions, 401ks, & investments - are potentially exposed to this risk.
That's why these Al companies' dubious financial positions matter to working people.
These companies argue that debt is necessary. They'll tell you that building transformative technologies requires upfront capital, & that massive borrowing today will pay off in generating unprecedented prosperity tomorrow.
But this is not the typical debt that startups take on while they build out a company. We are talking about billions going on trillions of dollars leveraged with no indication that these companies will be able to recoup these funds profitably. And they are increasingly looking to the government as their source of cash.
In an effort to hide their debt, tech companies have been relying on "circular financing" where tech giants like Google, Amazon, & Microsoft give billions to Al startups like OpenAl & Anthropic, only for those startups to hand that money right back to buy Al processing power.
In other words, these Al companies are luring in new investors by making it look like their financials are healthier than they really are.What's even worse is that retirement & pension funds are key to supporting this illusion.
When the Al companies issue bonds to raise more money, your pension funds & retirement accounts are some of the biggest buyers. When Musk's Al business went public, it became part of index funds where millions of Americans invest our savings. Many Americans don't even know that their retirement investments are tied up in these companies at all.
From Big Tech's perspective, that's a feature, not a bug. By tying our futures to their reckless gambling, Al billionaires are trying to make themselves too big to fail. They think they can take such dangerous risks because we will bail them out if things go wrong.
Sound familiar? This scene is dangerously reminiscent of the rampant speculation, corruption, & broken incentives leading up to the 2008 financial crisis that plunged millions of working class Americans into financial chaos that we never fully recovered from.
It is no accident that these warnings from Altman & Amodei come months-if not weeks-before these companies were meant to go public.
When companies go public, they have to be more transparent about how they are doing financially. And after a waiting period, they typically have to let private investors-like their own employees-sell their shares.
The New York Times recently confirmed that OpenAl has postponed going public for this very reason. They are in no rush for the truth about their finances to come out.
But the moment these oligarchs began to seek our public tax dollars & public contracts while exposing their companies to public pension funds & investments, they opened themselves to public accountability & scrutiny.
Silicon Valley billionaires have rigged the game & are attempting to shift their financial risk to working people: If they're right about Al's potential, they reap the profits. If they're wrong & the bubble bursts, they are setting up the American people to pick up the tab.
Heads, they win; tails, we lose.We can stop this, and we shouldn't play their game. Together we can address both the economic and safety threats of unrestricted Al development and prevent financial chaos and stabilize market risk.

We must make it clear now that should the Al bubble pop, Congress should not bail out Big Tech.

And across our federal agencies, we have the authorities and tools to hold Al companies and their leaders accountable for releasing dangerous, unvetted, and defective products. We must not wait.

Silicon Valley billionaires want us to believe that Al robots will destroy humanity.

But the biggest threat to humanity are the tech oligarchs themselves.

It's time we hold them accountable.

Thank you for reading.

In solidarity,

Alexandria
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Courtney Milan @courtneymilan.com · 19/09/2026
This is such a great thread because it tells you instantly how to answer the supposedly intractable regulation problem: liability, potentially joint liability, for the person who set up the AI system.
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Simon Marks @simonmarksfsn.bsky.social · 19/09/2026
Spot on.
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Timnit Gebru @timnitgebru.blacksky.app · 16/09/2026
Fucking bullshit that this guy is not only doing the press rounds but is the guy politicians on the "left" are taking their cues from.
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Chris K @thekensta.bsky.social · 15/09/2026
The real existential risk from AI is LLMs will soon write and release Monty Pythons “Funniest Joke in the World” archive.org/details/mont...
archive.org
Monty Python - Funniest Joke in the World
'Funniest Joke in the World' sketch from Monty Python. Rights belongs to the BBC.
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Nicholas Grossman @nicholasgrossman.bsky.social · 19/08/2026
Evidence keeps accumulating that LLMs are a powerfully useful technology for people who already know what they're talking about, and a dangerous outsourcing of cognitive function for people who don't. This can occur within a single individual, who knows a lot about some things and not about others.
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Ray Myers @raymyers.bsky.social · 15/08/2026
Reading Code Considered Helpful. The mainstream view among software engineers is basically: - We read some of the code, that's important. - Agents are cool, they aren't everything. - Needs vary. The weird pressures that attack this view are discussed for 6K words. raymyers.org/post/reading...
raymyers.org
Reading Code Considered Helpful
More is not better. Faster is not better. Better is better.
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Natasha Devon @natashadevon.bsky.social · 14/08/2026
I didn’t discuss Jason Arday on my show for this exact reason. If he had been white and behaved unprofessionally it would have been handled internally by his employers. As it is, it became clear that certain commentators wouldn’t be satisfied until he was dead www.bbc.co.uk/news/article...
bbc.co.uk
Jason Arday: Former Cambridge university professor found dead
Jason Arday was found "unresponsive" at an address in Battersea, south London, on Friday afternoon, officials said.
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Data Bear 🏳️‍🌈 @dataandpolitics.net · 12/08/2026
Sauron.
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Chris K @thekensta.bsky.social · 05/08/2026
Just discovered and really enjoy reading substack.com/@aisnakeoil/... as well as the latest “What will be left for us to work on?” substack.com/@aisnakeoil/...
substack.com
Up the Stack: How AI’s Escape From the Commodity Trap Risks Enterprise Lock-in
Critics and boosters are both looking in the wrong place
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Anna Holmes @annabookwriter.bsky.social · 04/08/2026
What in the chicken fried fuck did I just read They’re doing turd eugenics now?
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Chris K @thekensta.bsky.social · 02/08/2026
Enjoyed this. As a layperson it was really educational on technical mechanisms of economic fallout, things I wouldn’t think about if not for this intersection. I feel it nicely says “these bits are wrong” without extrapolating to “your diagnosis is off - AI funding is secure - and EZ is an idiot”
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Predrag Gruevski @predr.ag · 15/06/2026
You use AI to write more code. I use it to make my code more correct. We are not the same.
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James McLeod @jamespmcleod.ca · 22/07/2026
It's safe to assume that all major LLMs are scraping Bluesky data to train future models. As an open protocol, Bluesky is one of the few sources of fresh human-generated content that anybody can gobble up. So all this is probably going in the models. There are submarines in the Great Lakes.
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David Faden @util.bsky.social · 22/07/2026
Grateful to @lizthegrey.com and the rest of the Honeycomb team for making www.honeycomb.io/observabilit... available for free. Looking forward to reading it!
honeycomb.io
Honeycomb’s O’Reilly Book Observability Engineering, 2nd Ed.
Let authors Charity Majors, Liz Fong-Jones, George Miranda, and Austin Parker explain how to apply Observability successfully in your organization.
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Chris K @thekensta.bsky.social · 21/07/2026
These guys had a hard year last year - great to see team swallow 2026 almost ready for take off
Fledgling swallows in a nest inside a stable
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Armin Ronacher @mitsuhiko.at · 21/07/2026
dark.ronacher.eu/2026/7/21/ne...
dark.ronacher.eu
Never Enough
Comparison is the thief of joy.
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Chris K @thekensta.bsky.social · 20/07/2026
Artichokes doing their vibrant purple thing 🐝🐝
Vibrant purple artichoke flowers against a dry summer garden
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Chris K @thekensta.bsky.social · 13/07/2026
Are we changing all the maps again? “Gulf of the guardian of the Hormuz strait” now?
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Sonia Silva ❤️ @vallygirl.bsky.social · 11/07/2026
If I were Nigel Farage, I’d dip into that £5 million crypto gift just to fund a video that can compete with this! 🤣 HILARIOUS ⬇️
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Kevin Marks @kevinmarks.com · 08/07/2026
This one is better youtu.be/aGOmzQbRT_E
youtu.be
Count Binface: I'll take on Farage in by-election | BBC Radio 4 Today
YouTube video by BBC Politics
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Count Binface @countbinface.bsky.social · 07/07/2026
On my way, Clacton.
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Otto English @ottoenglish.bsky.social · 07/07/2026
Just imagining a scenario where England won the world cup and Count Binface won the Clacton by election...
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Mark Hamill @markhamillofficial.bsky.social · 19/06/2026
What are the odds of TWO master orators married to one another? Listening to them speak was uplifting, inspirational and exhilarating. A reminder of another, better time when leaders spoke to our better angels & offered hope & optimism rather than divisive vulgarisms. #ChangeIsComingNovember3rd
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Charity Majors @charity.wtf · 19/06/2026
Yes, this is very much in line with my own thinking and the piece I am writing up now. AI is not special. It is just technology, tools, aesthetics. It lives in the same world & systems as we do. It has costs, it delivers benefits. It should be subject to governance. Make AI boring.
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Chris K @thekensta.bsky.social · 14/06/2026
Timeline is full of happiness and excitement about the Knicks! Claude working overtime explaining just everything from zero about basketball
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Conrad Hackett @conradhackett.bsky.social · 24/08/2025
The "How is science discussed on Bluesky?" study finds posts about science 🧪 articles here have more content originality (not just article title/journal name) than posts on X. And, as has frequently been noted, science research posts here tend to generate A LOT more engagement.
Despite these similarities, Bluesky has two notable distinctions in scholarly
communication. First, it demonstrates a substantially higher level of interactive
engagement than has been reported in prior studies of X. Earlier research on X found
that the proportion of tweets receiving at least ten interactions varied by discipline,
ranging from 3.9-7.5% for likes, 1.4-4.4% for reposts, 0-0.2% for quotes, and 0-0.1%
for replies (Fang et al., 2022). In contrast, our findings show that 48.2% of Bluesky
scholarly posts received at least ten likes, 34.4% received ten or more reposts, 10.4%
received ten or more quotes, and 11.0% received ten or more replies. The prevalence of
likes and reposts on Bluesky is more than an order of magnitude higher than that
previously reported for X, while quotes and replies occur at rates approaching two
orders of magnitude greater, indicating a markedly higher level of active engagement
with scholarly content on the emerging platform.
Second, Bluesky shows a higher level of content originality in scholarly discourse. Our
analysis of cosine similarity between post texts and article titles revealed that only 6.3%
of Bluesky posts replicate article titles nearly verbatim (i.e., cosine similarity between
0.9 and 1). In contrast, prior studies of X reported title replication rates ranging from
11.8% to 92.4%, varying by discipline (Didegah et al., 2018; Kumar et al., 2019; Na,
2015; Sergiadis, 2018; Thelwall, Tsou, et al., 2013). Bluesky was also found to have a
higher proportion of original posts and a lower proportion of reposts compared to X
(Taylor & Areia, 2025). This contrast suggests that, whereas X has primarily served as
a dissemination tool (Htoo & Na, 2017), Bluesky may support a more interpretive,
reflective mode of science communication.
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Etienne Posthumus @epoz.org · 24/01/2025
Have you seen how fastht.ml uses it? It was my a-ha moment.
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