UX, UI, PX, SVG, IFF, AR, AI, EDU. Mmm mmm good! Professor, Pixel Pusher, AI Optimist. (Not a cartoon, Not a Dutch rockstar. D’oh!) Old school Digital Artist
NYC SLC
Joined April 2007
- Tweets4.1K
- Following2.3K
- Followers1.2K
- Likes7.6K
Martin Rigby retweeted
Given the acceleration Anthropic is reporting in coding, it is amazing that you still cannot change your email address in Claude and the official advice is that if you need to change your email the only way to do that is delete your account.
Martin Rigby retweeted
Its reasonable for mathematicians to point out that proofs are not always the same thing as advancing mathematics. But it suggests a need for new goals for what math is trying to do
Same thing will happen everywhere. 100x more PowerPoint or code is not always progress - what is?
Martin Rigby retweeted
After 30 years of saying this more folks are starting to sound more like me.
It’s fun to live through.
Martin Rigby retweeted
ALIGNMENT must be the #1 objective. Train next generation models on aligned data sets. Not the crap on Reddit and Facebook
Martin Rigby retweeted
2026: The New York Times cites seriously academics who say AI might end the world
1881: The New York Times cites seriously academics who say telegraphy might end the world newsletter.pessimistsarchive…
Martin Rigby retweeted
My friendly reminder, after Microsoft software caused billions in damage due to benign features being chained together (ILOVEYOU) and then a bunch of Windows Server ecomm apps went down over holidays (and more), Microsoft just said:
"So now, when we face a choice between adding features and resolving security issues, we need to choose security. Our products should emphasize security right out of the box, and we must constantly refine and improve that security as threats evolve. A good example of this is the changes we made in Outlook to avoid e-mail-borne viruses. If we discover a risk that a feature could compromise someone’s privacy, that problem gets solved first. If there is any way we can better protect important data and minimize downtime, we should focus on this. These principles should apply at every stage of the development cycle of every kind of software we create, from operating systems and desktop applications to global Web services."
Full text: "Trustworthy Computing" January 2002. archive.is/6T7hl
We did this on our own. We did not ask for regulators to tell us. We had the data. We knew the issue was in the software. It was super difficult in the competitive and customer-demanding world we worked but we did it.
It is so confusing to me that the AI companies are acting so helpless and in need of oversight to prioritize making the right product. What do they think regulators would know about building their products that they do not know?
How much more evidence do we need?
Martin Rigby retweeted
There is a real tension between the existential AI discussion that has come to dominate the news and the often enthusiastic widespread and growing adoption of AI everywhere across individuals & firms
Future AI is a cause for fear & Current AI is rapidly becoming part of life
Martin Rigby retweeted
I just fixed my dishwasher with the help of ChatGPT. A trivial task. I had been about to order a new one. So this software has increased the country's real wealth yet decreased the measured GDP. The main economic indicator is structurally incapable of registering the thing that actually makes people better off, namely the growth of knowledge
RT @emollick: Another neat one: I had GPT-6 Astra build a model of a famous never-built buildings, Boullée’s 1784 Centograph. There were on…
This quoted post is unavailable.
Martin Rigby retweeted
If LLMs did nothing else for science than what they have been doing in math - combining ideas across subfields in novel ways - it would be revolutionary. Before LLMs, science was stalling under the burden of knowledge, there is too much to absorb & work was ossifying as a result
Martin Rigby retweeted
The original Piggly Wiggly in Memphis, Tennessee, in 1918. By replacing counter service with open aisles and wooden turnstiles, it invented the modern self-service grocery model.
Martin Rigby retweeted
I find arguments that AI can't do judgement or creativity or taste to be especially obviously false in the time of agents. Any long task requires lots of taste, judgement, and creativity.
I am much more sympathetic to arguments about the quality or diversity of the AI's choices.
Martin Rigby retweeted
The fancy way think tanks bullshit to dress up their mission to propagandize, distort, and cover up for the powers that be.
Only one piece of information counts: who pays the "researcher".
Martin Rigby retweeted
My grape vines are enjoying the sun. I shall harvest some grape leaves this week for some delicious things.
Martin Rigby retweeted
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Martin Rigby retweeted
"Surprisingly, occupations with higher exposure to AI have grown faster than least-exposed ones, not slower."
Not surprising! Productivity growth -> economic growth -> job growth.
Is AI killing jobs?
New data shows that, more than three years after the release of ChatGPT, there is no evidence for a significant impact of AI on overall employment in the UK.
In our new report, we break down the labour force into different occupations and use four measures of AI exposure to determine how likely they are to be affected by the technology.
Surprisingly, occupations with higher exposure to AI have grown faster than least-exposed ones, not slower. This holds across all four measures, and across two different data sources.
The wage picture is different. Pay in AI-exposed occupations has lagged the rest of the labour market since 2019.
But that gap opened three years before ChatGPT, which makes AI an unlikely candidate for the observed wage compression.
This flattening of the wage structure is visible across the within-occupation distribution and strongest at the top quartile, which is consistent with labour market dynamics that predate generative AI.
Martin Rigby retweeted
This is a solid example of great and creative thinking in AI and building useful tools.
A wonderful solution and worthy of monetization.
Good work by this @AnthropicAI team!
Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.
It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
anthropic.com/glasswing
