ABrockwell @aebrockwell@qoto.org

I made a quick video about media literacy and the misleading Wall Street Journal headline I highlighted this weekend

TikTok: https://www.tiktok.com/@molly0xfff/video/7516303252917505326
YouTube: https://www.youtube.com/watch?v=qYkRSITTHpo

Anyone can become disabled at any time. It’s one of the few minority groups you can always join.

Even if you do everything “right”. Even if you’re young and healthy. Even if you “try hard”

It’s not a moral failing. It’s a part of life.

If more people would accept that and work with us, we would all be better off.

FYI: Calling a protest "a riot" is fascist behaviour. Protesters have a right to protest. It is in our Constitutions. The police do *not* have the right to stop them. That is blatantly the government restricting the right to free expression and the right to peaceably assemble.

So when the protesters are there, chanting and waving signs and otherwise doing what protesters do, IT IS THE POLICE WHO ARE IN THE WRONG. Their job is *not* to decide the demonstration is no longer "permitted". The right isn't something you can take away.

So when those police begin lobbing and shooting weapons at the protesters, THEY ARE THE ONES ACTING ILLEGALLY. They are literally the government not allowing people their rights. They are the redcoats here. They represent the King's tyrannical authority.

So never, ever call it a riot. A riot is an unreasoning mob, using violence to achieve their aims.

A protest that is attacked by police is "citizens taking up their right to self-defence when someone tries to violate their rights illegally."

Language matters here, folks. Don't accept their language. Call things what they are, not what they want you to think they are.

Also, "violence" against property is not violence. It is tortious, not criminal. Violence is what happens to *people*.

It is fascism.
At a journalism event I asked about using the word so journalism can cover and explain it. I was told that we can't call fascists fascists because it would put off the fascists.
This is fascism. Those who refuse to identify it are not doing journalism.

Indeed...

#QOTD #Quotes #Quote #AI #IA

This whole AI thing is like being in a restaurant with a fancy waiter who has one of those giant pepper shakers, only it's full of bird poop and anthrax and he keeps asking "would miss like a little AI on her pasta?" with every dish that comes out... and when you say "NO" he starts grinding anyway and won't stop until you physically knock him over.

In 1997 IBM's Deep Blue supercomputer beat world chess champion Garry Kasparov in a best-of-6-game chess match, marking an historic achievement in AI.

In 2025 #chatGPT, the standard bearer of revolutionary generative #AI had its ass handed to it by an Atari 2600 running a chess game written in 4 kilobytes of 6502 assembly code.

https://www.tomshardware.com/tech-industry/artificial-intelligence/chatgpt-got-absolutely-wrecked-by-atari-2600-in-beginners-chess-match-openais-newest-model-bamboozled-by-1970s-logic

This is fine it's progress

It is with great sadness that I am doing what I would once have thought unthinkable. Following Salim Abdool Karim's superb Faraday Lecture 10 days ago, i have decided to return my own Faraday prize, awarded in 2014.

The silence of the Royal Society in the face of Elon Musk's rampage (a member of the RS since 2018) across US science is incomprehensible to me.

We must all draw the line somewhere in the face of authoritarian attacks and this is mine.
https://www.ft.com/content/877853df-1687-4d1f-940b-9eefc0cf69c0?accessToken=zwAAAZdYtYr2kdOHeFPfFodNH9OUC57vwM9pwA.MEUCIQDNG6kcQyHa-g6Kx4G9NHE2ofD36kR8OX0yEu-KfXlV0QIgcmMFKTaT90y42QfwQTWb05khk6thpQPe-JvIGkaZzQY&segmentId=e95a9ae7-622c-6235-5f87-51e412b47e97&shareType=enterprise&shareId=5fbecded-0dc9-419a-b064-cda0dee0d73a

The US now has no vaccine advisory committee, no CDC director, and an anti-vaxxer as Health Secretary.

"Large language models do not, cannot, and will not “understand” anything at all. They are not emotionally intelligent or smart in any meaningful or recognizably human sense of the word. LLMs are impressive probability gadgets that have been fed nearly the entire internet, and produce writing not by thinking but by making statistically informed guesses about which lexical item is likely to follow another.

Many people, however, fail to grasp how large language models work, what their limits are, and, crucially, that LLMs do not think and feel but instead mimic and mirror. They are AI illiterate—understandably, because of the misleading ways its loudest champions describe the technology, and troublingly, because that illiteracy makes them vulnerable to one of the most concerning near-term AI threats: the possibility that they will enter into corrosive relationships (intellectual, spiritual, romantic) with machines that only seem like they have ideas or emotions."

https://www.theatlantic.com/culture/archive/2025/06/artificial-intelligence-illiteracy/683021/

#AI #GenerativeAI #Intelligence #LLMs #Chatbots

There's so much to dunk on in this NYT piece and so little time, but I gotta start here: Some law profs at U Chicago did a study to see if the chatbots could answer questions based on specific materials and found, unsurprisingly, that they make shit up.

https://www.nytimes.com/2025/06/07/technology/chatgpt-openai-colleges.html

>>

😞

Even if most Americans haven’t abandoned their private sense of empathy, many don’t seem terribly bothered by the rancidness of their leaders. I confess that this indifference astonishes me. It might be the ugliest effect of Trump’s return—the rapid normalization of spectacular corruption, the desensitization to lawless power, the acceptance of moral collapse. Eventually it will coarsen us all.

I'm sorry in advance if this sounds cringe or sappy. Or if it is something well known. But right now the difference, for me, in using Linux versus Windows is hope. It really is. Let me explain.

On Linux, if I have an issue, or a problem, something I don't understand. I have hope that I can find a way, an alternative, a forum, someone that will help, or even make it better by myself. No matter the issue hope drives me forward.

On Windows, there is no hope anything will get better.

Every website in 2025.

I do hope the Trump-Musk row becomes a scandal that stretches out for a long time, just so we can call it Elongate.

#Trump #Musk

Google, Meta, and Amazon are among the top companies tracking you across the web. By automatically blocking their trackers, Privacy Badger makes it harder for Big Tech companies to profit from your personal information. https://www.eff.org/deeplinks/2025/03/online-tracking-out-control-privacy-badger-can-help-you-fight-back

I wanted to get a picture of a puffin with the mountains in the background instead of the sea. Without a wide-angle lens, this was the best I could pull off lol. I'm still kind of proud of it, though.

#Puffin #Birds #Nature #Iceland #Photography #BirdPhotography

via @timoelliott

it's highly ironic that the "AI" evangelists constantly repeat that people who hate it are out of touch. they're implying that people don't like it because they don't understand it, when my experience has been people who hate "AI" seem to have a far firmer grasp on how it actually works than the evangelists

edit: reclaiming my notifications by muting this ✌

Why Bell Labs worked so well, and could innovate so much, while today’s innovation, in spite of the huge private funding, goes in hype-and-fizzle cycles that leave relatively little behind, is a question I’ve been asking myself a lot in the past years.

And I think that the author of this article has hit the nail on its head on most of the reasons - but he didn’t take the last step in identifying the root cause.

What Bell Labs achieved within a few decades is probably unprecedented in human history:

They employed folks like Nyquist and Shannon, who laid the foundations of modern information theory and electronic engineering while they were employees at Bell.
They discovered the first evidence of the black hole at the center of our galaxy in the 1930s while analyzing static noise on shortwave transmissions.
They developed in 1937 the first speech codec and the first speech synthesizer.
They developed the photovoltaic cell in the 1940, and the first solar cell in the 1950s.
They built the first transistor in 1947.
They built the first large-scale electronic computers (from Model I in 1939 to Model VI in 1949).
They employed Karnaugh in the 1950s, who worked on the Karnaugh maps that we still study in engineering while he was an employee at Bell.
They contributed in 1956 (together with AT&T and the British and Canadian telephone companies) to the first transatlantic communications cable.
They developed the first electronic musics program in 1957.
They employed Kernighan, Thompson and Ritchie, who created UNIX and the C programming language while they were Bell employees.

And then their rate of innovation suddenly fizzled out after the 1980s.

I often hear that Bell could do what they did because they had plenty of funding. But I don’t think that’s the main reason. The author rightly points out that Google, Microsoft and Apple have already made much more profit than Bell has ever seen in its entire history. Yet, despite being awash with money, none of them has been as impactful as Bell. Nowadays those companies don’t even innovate much besides providing you with a new version of Android, of Windows or the iPhone every now and then. And they jump on the next hype wagon (social media, AR/VR, Blockchain, AI…) just to deliver half-baked products that (especially in Google’s case) are abandoned as soon as the hype bubble bursts.

Let alone singlehandedly spear innovation that can revolutionize an entire industry, let alone make groundbreaking discoveries that engineers will still study a century later.

So what was Bell’s recipe that Google and Apple, despite having much more money and talented people, can’t replicate? And what killed that magic?

Well, first of all Bell and Kelly had an innate talent in spotting the “geekiest” among us. They would often recruit from pools of enthusiasts that had built their own home-made radio transmitters for fun, rather than recruiting from the top business schools, or among those who can solve some very abstract and very standardized HackerRank problems.

And they knew how to manage those people. According to Kelly’s golden rule:

How do you manage genius? You don’t

Bell specifically recruited people that had that strange urge of tinkering and solving big problems, they were given their lab and all the funding that they needed, and they could work in peace. Often it took years before Kelly asked them how their work was progressing.

Compare it to a Ph.D today who needs to struggle for funding, needs to produce papers that get accepted in conferences, regardless of their level of quality, and must spend much more time on paperwork than on actual research.

Or to an engineer in a big tech company that has to provide daily updates about their progress, has to survive the next round of layoffs, has to go through endless loops of compliance, permissions and corporate bureaucracy in order to get anything done, has their performance evaluated every 3 months, and doesn’t even have control on what gets shipped - that control has been taken away from engineers and given to PMs and MBA folks.

Compare that way of working with today’s backlogs, metrics, micromanaging and struggle for a dignified salary or a stable job.

We can’t have the new Nyquist, Shannon or Ritchie today simply because, in science and engineering, we’ve moved all the controls away from the passionate technical folks that care about the long-term impact of their work, and handed them to greedy business folks who only care about short-term returns for their investors.

So we ended up with a culture that feels like talent must be managed, even micromanaged, otherwise talented people will start slacking off and spending their days on TikTok.

But, as Kelly eloquently put it:

“What stops a gifted mind from just slacking off?” is the wrong question to ask. The right question is, “Why would you expect information theory from someone who needs a babysitter?”

Or, as Peter Higgs (the Higgs boson guy) put it:

It’s difficult to imagine how I would ever have enough peace and quiet in the present sort of climate to do what I did in 1964… Today I wouldn’t get an academic job. It’s as simple as that. I don’t think I would be regarded as productive enough.

Or, as Shannon himself put it:

I’ve always pursued my interests without much regard for final value or value to the world. I’ve spent lots of time on totally useless things.

So basically the most brilliant minds of the 20th century would be considered lazy slackers today and be put on a PIP because they don’t deliver enough code or write enough papers.

So the article is spot on in identifying why Bell could invent, within a few years, all it did, while Apple, despite having much more money, hasn’t really done anything new in the past decade. MBAs, deadlines, pseudo-objective metrics and short-termism killed scientific inquiry and engineering ingenuity.

But the author doesn’t go one step further and identify the root cause.

It correctly spots the business and organizational issues that exist in managing talent today, but it doesn’t go deeper into their economic roots.

You see, MBA graduates and CEOs didn’t destroy the spirit of scientific and engineering ingenuity spurred by the Industrial Revolution just because they’re evil. I mean, there’s a higher chance for someone who has climbed the whole corporate ladder to be a sociopath than there is for someone you randomly picked from the street, but not to the point where they would willingly tame and screw the most talented minds of their generation, and squeeze them into a Jira board or a metric that looks at the number of commits, out of pure sadism.

They did so because the financial incentives have drastically changed from the times of Bells Labs.

The Bells Labs were basically publicly funded. AT&T operated the telephone lines in the US, paid by everyone who used telephones, and they reinvested a 1% tax into R&D (the Bells Labs). And nobody expected a single dime of profits to come out from the Bells Labs.

And btw, R&D was real R&D with no strings attached at the time. In theory also my employer does R&D today - but we just ended up treating whatever narrow iterative feature requested by whatever random PM as “research and development”. It’s not like scientists have much freedom in what to research or engineers have much freedom in what to develop. R&D programs have mostly just become a way for large businesses to squeeze more money out of taxpayers, put it in their pockets, and not feel any moral obligation of contributing to anything other than their shareholders’ accounts.

And at the time the idea of people paying taxes, so talented people in their country could focus on inventing the computer, the Internet or putting someone on the moon, without the pressure of VCs asking for their dividends, or PMs asking them to migrate everything to another cloud infrastructure by next week, or to a new shiny framework that they’ve just heard in a conference, wasn’t seen as a socialist dystopia. It was before the neoliberal sociopaths of the Chicago school screwed up everything.

The America that invested into the Bell Labs and into the Apollo project was very different from today’s America. It knew that it was the government’s job to foster innovation and to create an environment where genuinely smart people could do great things without external pressure. That America hadn’t yet been infected by the perverse idea that the government should always be small, that it’s not the government’s job to make people’s lives better, and that it was the job of privately funded ventures seeking short-term returns to fund moonshots.

And, since nobody was expecting a dime back from Bell, nobody would put deadlines on talented people, nobody hired unqualified and arrogant business specialists to micromanage them, nobody would put them on a performance improvement plan if they were often late at their daily standups or didn’t commit enough lines of code in the previous quarter. So they had time to focus on how to solve some of the most complex problems that humans ever faced.

So they could invent the transistor, the programming infrastructure still used to this day, and lay the foundations of what engineers study today.

The most brilliant minds of our age don’t have this luxury. So they can’t revolutionarize our world like those in the 20th century did.

Somebody else sets their priorities and their deadlines.

They can’t think of moonshots because they’re forced to work on the next mobile app riding the next wave of hype that their investors want to release to market so they can get even richer.

They have to worry about companies trying to replace them with AI bots and business managers wanting to release products themselves by “vibe coding”, just to ask those smart people to clean up the mess they’ve done, just like babies who are incapable of cleaning up the food they’ve spilled on the floor.

They are seen as a cost, not as a resource. Kelly used to call himself a “patron” rather than a “manager”, and he trusted his employees, while today’s managers and investors mostly see their engineering resources as squishy blobs of flesh standing between their ambitious ideas and their money, and they can’t wait to replace them with robots that just fullfill all of their wishes.

Tech has become all about monetization nowadays and nothing about ingenuity.

As a result, there are way more brilliant minds (and way more money) in our age going towards solving the “convince people to click on this link” problem rather than solving the climate problem, for example.

Then of course they can’t invent the next transistor, or bring the next breakthrough in information theory.

Then of course all you get, after one year of the most brilliant minds of our generation working at the richest company that has ever existed, is just a new iPhone.

https://links.fabiomanganiello.com/share/683ee70d0409e6.66273547