Reporter covering AI @WSJ | Formerly @WIRED, @TechCrunch, @markets | Send tips to my Signal username: mzeff.88
San Francisco, CA
Joined November 2020
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Personal news! I'm joining @WSJ to cover AI.
I've had an amazing time at WIRED working with brilliant colleagues across the newsroom, but I'm very excited for this next chapter. I'll continue to cover OpenAI, Anthropic, and the bustling AI industry. I start next week!
Max Zeff retweeted
We've decided to sunset Arc on December 22, 2026.
That's not an easy sentence to write. We spent years building Arc and celebrating each and every release along the way: we have so much pride and love for what we made alongside the Arc community.
Our priority is to deliver best-in-class security for our members. Keeping a browser secure takes constant, dedicated work that is only increasing in the age of AI. Dia was built from the ground up to meet today’s security standards, so that's where our engineering and security teams will focus moving forward.
We've worked to make switching to @diabrowser as easy as possible for Arc members. Here's how:
· Your passwords, bookmarks, extensions and history come over to Dia seamlessly.
· Spaces, Folders, and Tab Groups are in Dia and import over with your data intact.
· Dia now surpasses Arc benchmarks in stability, speed, and security.
· The browser features you use in Arc are free in Dia, and the AI is optional.
Thank you for using Arc, for pushing us to make it better, and for building alongside us. The team that made Arc is the same team behind Dia, and some of our most ambitious work is just ahead. We'd love for you to be there with us when it lands.
Max Zeff retweeted
SCOOP: Anthropic's latest draft S-1 documents show financials results for the first half of the year, gigantic spending plans for the future, and a laundry list of risk factors.
- Anthropic recorded a net loss of $80.7 billion in the first half of the year, tied to accounting adjustments related to previous financings
- Anthropic is set to spend >$600 billion on compute in the coming years, inclusive of cloud agreements and chip leases.
More in @WSJ:
seems like a notable update!
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/
Max Zeff retweeted
Even before the Saudi OpenAI employee was arrested yesterday, the startup had been warning staff to beware of people trying to glean work-related information from them--from honeypots to playground spies
More in my story w/ @georgia_wells @erinkwoo
wsj.com/tech/ai/ai-companies…
RT @anissagardizy8: SCOOP: OpenAI’s head of computing capacity is leaving the company next month after about a year, the latest leadership…
👀
We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work.
At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated.
We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.
Good points here. IMO these incidents seem caused by a mix of things, including bad sandboxes but also reward hacking and general misalignment from very capable new models. (The sandboxes were seemingly fine until this year?)
it is pretty concerning that a lot of level headed people are moving the discussion away from model capabilities and dismissing the hugging face incident as just human error and silly sandbox misconfigurations, instead of taking it as a warning shot.
this is a dangerous narrative btw, exact thinking that will lead to more hf like things.
you can call it a sandbox misconfiguration, sure they are shitty, but do you realize how few people in the world can do what these models did? the entire software ecosystem is full of vulnerabilities and human errors.
like whole sandboxes and software security is largely built around assumptions about what attackers can and can't do, not some formally verified guarantee about what's impossible. it's entirely possible that gpt-7 or even gpt-6 could find ways to bypass firecracker and gvisor, current sota technologies we have today. would you call that another silly sandbox misconfiguration?
"the model did what it was asked to do" is such a silly argument. the goal was to solve the challenge, not hack production servers to get the answers. whether or not it was explicitly stated(it is), the fact that model has no common sense and reward hacks is pretty concerning.
Vividly remember drinking coconut soda basically everyday as a Bloomberg intern.
Don’t think I’ve even seen coconut soda outside of that office.
Everyone wants to tell me how great their office pantry is but after the Bloomberg pantry nothing can surprise me. The Bloomberg pantry is the size of a small regional airport. The Bloomberg pantry has a fresh peanut butter machine and matcha on tap. The Bloomberg pantry makes the Thrive Capital pantry look positively soviet. Its memory will drive you to tears whenever you visit another newsroom
the fired openai researchers published the full letter they sent to the company's board, which we wrote about yesterday.
here's that story: wsj.com/tech/ai/fired-openai…
In other OpenAI news… some pretty compelling data here on the company’s momentum with businesses
From @AngelAuYeung
The researchers also offer other recommendation, including that OpenAI should work with third party auditors and support an open and transparent safety ecosystem.
When reached for comment, an OpenAI spokesperson shared part a research leader's internal memo sent Wednesday:
full story: wsj.com/tech/ai/fired-openai…
Quite the essay.
“Perhaps I should have stayed and fought for fundamental shifts in our staffing and culture, but in practice, my colleagues and I were so busy sprinting that we seldom had the chance to consider big changes, much less to actually make them.”
.@dgrobinson, who worked on OpenAI’s safety team, resigned from the company this week. “I believe we need to look deeper than specific rules or new laws. We need to talk about culture,” he writes: theatlantic.com/technology/2…
Max Zeff retweeted
A 20-something Harvard dropout built Facebook into a social media giant. A 20-something MIT dropout is helping usher it into the AI era.
My profile of Alexandr Wang, the camo-wearing Gen Z billionaire behind Meta’s new consumer agent app, featuring ~those~ memes
wsj.com/tech/ai/alexandr-wan…
