The rise of climate denialism in the general population (

5% between 2019 and 2023) has been accompanied by a very significant increase in denialist activism on “X”/Twitter since the summer of 2022, and increased hostility towards climate scientists.

Through global tracking of Twitter exchanges about climate change between 2019 and 2023, as well as exchanges about COVID-19 pandemics, we analyzed this online trend and its interaction with other societal issues like politics and COVID-19 pandemics.

Beyond fact-checking, we show, through complex networks and semantic analyses, that there are structural differences between these denialist and pro-climate online communities, as well as between the circulation of false information and other climate change-related narratives.

All the evidence suggests that the behavior of deniers is designed to deceive, and that they are over-represented on social networks compared to what they actually represent offline. This is particularly true on “X”/Twitter since Musk’s takeover.

We have also highlighted the globalized aspect of this new denialism, its alignment with the interests and visions of powers such as Russia and how it has benefited from the COVID-19 pandemic.

Now that all the pieces are in place, here is the economic nexus of semi/genAI that particularly interests me:

If model providers make inference much more efficient, then they will not use enough computing power to consume all that is brought to market by the semiconductor industry. If this happens, it will trigger a downward cycle in this industry, significantly slowing down the production of new hardware and possibly having significant global economic and financial repercussions.
If model providers do not make their inference processes more efficient, they will not be able to structurally reduce their marginal costs and, failing to achieve the desired profitability, will resort to the usual means (advertising, tiered subscriptions), which will slow down adoption.
If adoption slows down, model providers will struggle to achieve profitability (with the exception of those with captive markets), their demand for computing power will weaken, and the semiconductor industry will produce excess capacity and enter a downward cycle, taking part of the AI industry with it.

So, the central issue linking today’s semiconductor industry and genAI model providers is how to define how much efficiency gains are enough. Jokingly, we could call this ‘inference inefficiency optimum’.

Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously to a) counter the technology industry's marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues.

In the aftermath of nuclear apocalypse, a group of people are forced to live underground in bunkers. They cannot go outside their dwellings without wearing protective clothing and gas masks. They try to find hope in the disturbing new world. Among these people is a scientist who writes and recites letters to his son, who is missing and most likely dead.

Typeface from Titus Kaphar / Reginald Dwayne Betts’ show at MoMA PS1

Chawan is a TUI web (and (S)FTP, Gopher, Gemini, ...) browser with CSS, inline image and JavaScript support.

It uses its own small browser engine developed from scratch, which can nevertheless display many websites in a manner similar to major graphical browsers.

It can also be used as a terminal pager.

Many chefs I know get upset at me when I tell them this. But this is the truth: If you can’t cook everything you make in a microwave thats a skill issue. You need to learn now because when everything is cooked in a microwave you’ll be out of a job. When microwaves are everywhere you’ll be so far behind you’ll never learn how to use a microwave. Chefs who use tools besides microwaves are luddites. They live in fear of the future.

The back and forth over the energy consumption of consumer AI is interminable. Researchers regularly update the predicted costs, AI luminaries (like Sam Altman) counter with internal figures but decline to explain how they were calculated, lay people chime in with cocktail napkin calculations (to which I won’t bother linking), and commentators conclude that there are actually more interesting things to talk about.

But there’s a relatively easy way to cut through all that noise. Instead of meekly asking AI companies for transparent data, we can take stock of how much energy they expect to use by looking at where they’re putting their money.

Grok Companion Extracted Params

This is a chumbox. It is a variation on the banner ad which takes the form of a grid of advertisements that sits at the bottom of a web page underneath the main content. It can be found on the sites of many leading publishers, including nymag.com, dailymail.co.uk, usatoday.com, and theawl.com (where it was “an experiment that has since ended.”)

The chumboxes were placed there by one of several chumvendors — Taboola, Outbrain, RevContent, Adblade, and my favorite, Content.ad — who design them to seamlessly slip into a particular design convention established early within the publishing web, a grid of links to appealing, perhaps-related content at the bottom of the content you intentionally came to consume.

distorts fonts

Bitsavers'
Software Archive
Computing Archive
Communications Archive
Components Archive
Magazine Archive
Test Equipment Archive

AI can be kind of useful, but I'm not sure that a "kind of useful" tool justifies the harm.

Portable file server with accelerated resumable uploads, dedup, WebDAV, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file, no deps

GPT-5’s release and claims of its “PhD-level” abilities in areas such as coding and writing come as tech firms continue to compete to have the most advanced AI chatbot.

And it sees 3 letters b in Blueberry

I responded to one of those spam texts from a “recruiter”—then took the job. It got weirder than I could have imagined.

In an email dated June 9, 2016, Facebook CEO Mark Zuckerberg directed engineers at his company to find a method of obtaining "reliable analytics" about Snapchat, which he noted that Facebook lacked due to Snapchat's network traffic being encrypted.[11] The solution Facebook engineers proposed to Zuckerberg's directive was to use Onavo, which allowed the company to read network traffic on a device prior to its being encrypted, thereby giving the company the ability "to measure detailed in-app activity" and to collect analytics on Snapchat app usage from devices on which Onavo was installed.[11] It did this by creating "fake digital certificates to impersonate trusted Snapchat, YouTube, and Amazon analytics servers to redirect and decrypt secure traffic from those apps for Facebook’s strategic analysis."

like Etcher, much lighter

My stance on the current trend of using The Lesser Key of Solomon at work and in one's personal life:

1. There's no evidence these evil spirits really are the 72 princes mentioned in The Lesser Key (and their innumerable minions). They only started telling us their "names" after someone incorporated the text of Ars Goetia in a (poorly-worded) binding ritual.

2. There's also no evidence that anyone's binding rituals actually work. It's always the same thing: Belial is asked to clean someone's house but burns it down instead and then everyone blames the binding ritual, summoning circle, wand, chalice, etc.

3. While most wizards report that making dark pacts with imps improves their spell-casting ability there are plenty of other familiars that are safer and more trustworthy.

4. There's a trend of reassuring people about this by asking spirits like Asmodeus the Prince of Lies if they are being truthful. This feels naive at best and actively malicious at worst.

5. It's not clear to me that risking your immortal soul to make your boss a bit richer is a good idea, to say nothing of risking your immortal soul to do a better job keeping up with email.

6. Just because everyone else has already torn innumerable holes in reality and brought forth legions of demons into our universe does not change my own feelings about it, though it certainly motivates a heightened level of interest in exorcisms and abjuration magic.

At some point the momentum behind NVIDIA slows. Maybe it won't even be sales slowing — maybe it'll just be the suggestion that one of its largest customers won't be buying as many GPUs. Perception matters just as much as actual numbers, and sometimes more, and a shift in sentiment could start a chain of events that knocks down the entire house of cards.

I don't know when, I don't know how, but I really, really don't know how I'm wrong.

I hate that so many people will see their retirements wrecked, and that so many people intentionally or accidentally helped steer the economy in this reckless, needless and wasteful direction, all because big tech didn’t have a new way to show quarterly growth. I hate that so many people have lost their jobs because companies are spending the equivalent of the entire GDP of some European countries on data centers and GPUs that won’t actually deliver any value.

But my purpose here is to explain to you, no matter your background or interests or creed or whatever way you found my work, why it happened. As you watch this collapse, I want you to tell your friends about why — the people responsible and the decisions they made — and make sure it’s clear that there are people responsible.

Sam Altman, Dario Amodei, Satya Nadella, Sundar Pichai, Tim Cook, Elon Musk, Mark Zuckerberg and Andy Jassy have overseen a needless, wasteful and destructive economic force that will harm our economy and the tech industry writ large, and when this is over, they must be held accountable.

And remember that you, as a regular person, can understand all of this. These people want you to believe this is black magic, that you are wrong to worry about the billions wasted or question the usefulness of these tools. You are smarter than they reckon and stronger than they know, and a better future is one where you recognize this, and realize that power and money doesn’t make a man righteous, right, or smart.