Matt Scherer
@matthewus.bsky.social
570 followers 34 following 31 posts
Workers' Technology Rights advocate @ Center for Democracy & Technology. Posts reflect my own views, not CDT’s.
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matthewus.bsky.social
The tech industry only ever has two positions on any proposed tech regulation:

(1) Don’t regulate us. It’s too early. Our tech is still developing.

(2) Don’t regulate us. It’s too late. Our tech is everywhere.
matthewus.bsky.social
Given that genAI clearly enhances productivity in cheating and scamming but has mixed results everywhere else, there's a real possibility that genAI will actually have a net negative effect on profitability as companies are forced to invest ever-more in cybersecurity.

www.axios.com/2025/10/07/o...
OpenAI's new Sora app and other AI video tools give scams a new edge, experts warn
Fake audio and videos are bound to make scams sound more believable as tools improve.
www.axios.com
Reposted by Matt Scherer
merriam-webster.com
We are thrilled to announce that our NEW Large Language Model will be released on 11.18.25.
Reposted by Matt Scherer
cdt.org
New brief from CDT’s @matthewus.bsky.social & @consumerreports.org's Grace Gedye examines state efforts to regulate algorithmic decision systems (ADSs)—spotlighting promising proposals, pitfalls, and what effective regulation must include.
Read more: cdt.org/insights/bri...
Building Transparency and Accountability.
Reposted by Matt Scherer
evangreer.bsky.social
The Minnesota shooter apparently used data broker websites to find the home addresses of the people he shot and murdered.

Congress has had years to do something about data brokers and they've sided with the tech lobby over and over again.

Their inaction is deadly.
Reposted by Matt Scherer
matthewus.bsky.social
You know you've got a serious, serious brand issue when your main competitor is 11 points underwater in favorability but you're doing 10 points *worse* than they are.

thehill.com/homenews/cam...
matthewus.bsky.social
Quick! Hide this from Ezra Klein!
matthewus.bsky.social
...anecdotes are not evidence. None of the predicted labor market disruptions have materialized. Level 5 AVs have been 3 yrs away for 10 yrs now. Productivity growth hasn't accelerated. Practical improvement in cutting edge models has slowed to a crawl. So I, and many others, just aren't seeing it.
matthewus.bsky.social
I do use it, both for research and for editing/polishing my writing. It's helpful for polishing my writing, but not in an "I'm blown away" way. And in research, frequent hallucinations in all the models mean that I often have to spend more time verifying info than if I'd not used AI. Anyway...
matthewus.bsky.social
I have, in fact, studied AI and its impact on the economy and labor market for a decade now. I've made something a career of it. And while I’m not a programmer, I have a better technical understanding of AI than most laypeople. Happy to engage in a reasoned debate, but not engage in name calling.
matthewus.bsky.social
I could be wrong. I often am. But AI hype increasingly strikes me as something driven by a desperate effort to delay the popping of a speculative bubble, and it boggles my mind that people brush off recent and repeated delays and admissions of fundamental flaws in new models by big LLM developers.
matthewus.bsky.social
Anecdotes are rarely meaningful evidence, and never evidence of transformative impact/potential. What you describe strikes me more akin to the impact that Google/decent Internet search had on knowledge professions as compared to early knowledge databases. And maybe not even that.
matthewus.bsky.social
I think the only thing that has been big/fast about AI is the hype surrounding it. I'm not alone in thinking so. You disagree, but I haven't seen real-world evidence (arbitrary benchmarks don't count) that it's having transformative impacts in its current state, nor do I see how it'll get there.
matthewus.bsky.social
As @randomwalker.bsky.social said two years ago: "Every exponential is a sigmoid in disguise."
matthewus.bsky.social
It's obvious that all big LLMs have plateaued. Improvements are X steps forward/Y steps back, with X fast decreasing and Y increasing. None are close to AGI; tweaks/scaling won't get them there. The only reason none of the big developers are saying so is no one wants to be first to admit to the con.
Exclusive | Meta Is Delaying the Rollout of Its Flagship AI Model
The company’s struggle to improve the capabilities of latest AI model mirrors issues at some top AI companies.
link.axios.com
matthewus.bsky.social
Why would you need anything other than LLMs? I mean, once we scale LLMs up enough, we’ll have AGI. Didn’t you get the memo? 🙃
matthewus.bsky.social
This is seriously great. There has been a vacuum of moral leadership when it comes to the impact of AI on workers and their dignity. And there are a few (if any) people with a bigger moral megaphone than the Pontiff.

www.cnbc.com/2025/05/10/p...
Why Pope Leo chose his name: AI, workers’ rights, new Industrial Revolution
Pope Leo also suggested that he would follow the late Pope Francis' lead on his commitment to social justice.
www.cnbc.com
matthewus.bsky.social
And, of course, the reason nobody understands their tech is that they abuse the trade secret doctrine to keep people from finding out how it works and how it affects them. Which shows the need for… wait for it… regulation.
matthewus.bsky.social
That’s an excellent argument for starting regulation with strong transparency measures so that people understand how new tech works and how it affects them. But industry adamantly opposes such transparency (trade secrets!) because they want to maintain information monopolies on their technologies.
matthewus.bsky.social
True. But IMHO, it’s not even regulation if the target of the regulation has veto power over its contents.
matthewus.bsky.social
Respectfully, these aren't straw man arguments. All the issues with voluntary standards I described are basic economics principles. And that doesn't even get into monitoring/enforcement of voluntary standards. Sounds like your mind's made up on this though, so take care.
matthewus.bsky.social
That would be nice, if it weren't for little issues like information asymmetry, unequal bargaining power, collective action problems like the exponentially higher cost of consumers coordinating amongst each other, the ease of standards capture, and cumulative advantages for dominant industry actors.