Busy Wednesday. Google dropped a new top model and then told most of us we can't use it yet, California signed a stack of AI bills on the way out the door, Reddit is shutting the windows on the open web, and OpenAI is passing the hat again at a number that doesn't feel real. Let's go.
01 of 04
Google's Gemini 4 Argon is real, and you can't have it yet
Google released Gemini 4 Argon on Wednesday and called it the most powerful model it has built. The pitch is coding, long research jobs, enterprise work, and especially cybersecurity. Google says Argon can find, validate, and patch serious software bugs on its own.
The numbers Google published: 77.9% on DeepSWE v1.1 for software engineering, 91.7% on LVBench for long video understanding, 51.3% on AutomationBench (ranked first), and 68% on CWE-bench v1, tied for first. It also claims the top spot on the Vals Index, Vals Finance Agent v2, Harvey's legal agent benchmark, and Gray Swan's prompt injection test. Output limit jumps from 64K tokens to 1 million.
Google also showed off what it has been doing with Argon internally. It migrated more than 800,000 lines of code for the Fuchsia Zircon kernel, freed up more than 300 TiB of memory across its data centers, made a video decoder 2.7 times faster with SIMD tuning, and beat a published quantum algorithm baseline by 40%.
Here's the catch. Right now Argon only goes to vetted cyber defenders through something Google calls the Fairwind Program. The one partner it named is Wiz, which is using it to hunt bugs in healthcare software. Paid API customers and Google AI Ultra subscribers are next, "as soon as possible." Intro pricing is $2 per million input tokens and $10 per million output, going to $4 and $20 after that. Google DeepMind SVP Koray Kavukcuoglu said safely releasing this level of capability "requires a phased approach."
Here is where I land on it. A model that can find and patch zero days by itself is also a model that can find zero days by itself, so I don't mind the slow rollout one bit. What bugs me is the benchmarks. Half the "leading performance" claims come without a number attached, and the ones that do have numbers are on tests most folks have never heard of. Hand it to developers and let us find out. Until then it's a really impressive brochure.
02 of 04
California just banned the robot boss
Gov. Gavin Newsom signed 13 AI bills on Wednesday. The headliner is SB 947, the "No Robo Bosses Act" from Sen. Jerry McNerney (D-Pleasanton). It says an employer can't use an automated decision system as the main basis for firing or disciplining somebody. If AI drives the call, a human has to back it up with manager evaluations, peer reviews, and the personnel file. The worker gets written notice that AI was involved, the data it used, and a real person to explain it. It kicks in July 1, 2027.
Newsom vetoed this same idea in October 2025, saying it was "overly broad." McNerney rewrote it in February, cut the advance notice requirement, and dropped the gig worker protections that had Uber and Lyft fighting it. The California Federation of Labor Unions backed it. So did Republican nominee Steve Hilton, which is not a sentence you read every day. Chamber of Progress opposed it over fuzzy language about what "primarily relying" on AI means.
The other big worker bill is SB 951 from Sen. Eloise Gómez Reyes (D-Colton). If you lay off 50 or more people and AI is the reason, the 60 day notice now has to spell out how many jobs, where, what kind, and what automation replaced them. The state has to post summaries of those notices online and publish quarterly reports on tech driven job loss.
The full list Newsom signed, per his office: AB 1331 (Elhawary) and AB 1883 (Bryan) on workplace surveillance, AB 1864 (Berman) on gene synthesis equipment, AB 1979 (Bonta) and SB 503 (Weber Pierson) on AI in healthcare, AB 2392 (Fong) on generative AI in public colleges, AB 2713 (Wicks) and SB 1000 (Becker) under the California AI Transparency Act, SB 574 (Umberg) on lawyers, arbitrators, and judges, SB 947 (McNerney), SB 951 (Gómez Reyes), SB 1111 (Ashby) on digital replicas, and SB 1159 (Cabaldon) on AI transparency and governance.
What I want to know is whether SB 951 has any teeth. New York did the same AI layoff checkbox by executive order in 2025, and in the first year not one employer admitted a layoff was about AI. Nobody's going to volunteer that. SB 947 is different though. It hands workers a paper trail and a name to call, and big companies aren't going to run one firing process for California and another for Texas. This one is going national whether Austin likes it or not.
03 of 04
Reddit is pulling up the drawbridge
Reddit is killing RSS feeds on November 13, 2026 and ending public API access in March 2027. Third party apps have to register by January 12, 2027 or they're cut off. Old Reddit is getting locked down too, only for logged in users who have used it in the last six months.
Reddit's reason is AI bots. The company said RSS has become a "common surface for large-scale scraping and automated abuse." It is pointing moderators who rely on RSS alerts to a Devvit app called Discord Relay.
Follow the money and it makes sense. Reddit's "other revenue," which is mostly AI data licensing, grew 24% year over year to $43 million in Q2 2026. Every bot reading a free feed is a bot not paying for a license.
I get it, I do. Scrapers are a plague. But RSS is how a lot of regular people, researchers, and mods actually use the place, and they're the ones getting squeezed here, not the big AI labs who can just write a check. This is the open web shrinking one more notch, and it's happening because the content is worth more as training data than as a public commons. That's a lousy trade for the folks who wrote all those posts for free.
04 of 04
OpenAI wants $30B more at a $1.4 trillion price tag
Bloomberg reported Tuesday that OpenAI is in talks to raise at least $30 billion at around a $1.4 trillion valuation, according to TechCrunch. That's a big jump from March, when it raised $122 billion at $852 billion. This round is a bridge to an IPO that's now pushed to 2027.
The revenue story behind it: run rate revenue is up 70% since July and hit $40 billion in August, after OpenAI refocused on coding. Anthropic briefly outpaced OpenAI earlier this year, according to the report. On the IPO delay, Sam Altman told Fortune, "I think it is unacceptable to be taking like a 10% chance of killing everybody by the end of the decade."
Look, $40 billion in run rate is a real business, no argument. But a 1.4 trillion dollar private valuation on a company whose CEO is talking about a 10% chance of ending everybody is a wild thing to put in the same paragraph. Either he believes it and should be slowing down, or it's a line that plays well in a fundraising month. I'd like to see the S-1 before I pick which.