In partnership with
FROM OUR PARTNER
Can't Buy the Next Big AI IPO Yet? Watch These 3 Stocks.
Wall Street is preparing for what could become one of the biggest AI IPOs in history. But ordinary investors may have to wait until shares begin publicly trading to participate directly.
Meanwhile, three publicly traded companies could offer exposure to the AI infrastructure and investment boom surrounding Anthropic. Two are familiar names. The third is a lesser-known company that many investors haven't connected to the story.
A new, free briefing reveals all three tickers, potential entry prices, and a bonus fourth company holding thousands of patents tied to the AI race.
See the three stocks before the next wave of attention arrives. Free briefing, no credit card required.
TODAY AI BRIEF
3 things to know about Google's bug-hunting models
1 Gemini 4 Argon can find, validate and patch flaws, Google says.
Google announced Argon on October 1, 2026 as a frontier model that finds critical software vulnerabilities and patches them without human help. Those are Google's own claims, from its internal tests across codebases in 20 languages. Read Help Net Security's report.
2 Early access is limited to trusted cyber defenders and Google's own teams.
Phase one goes to defenders in Google's Fairwind Program and to internal teams, and Google says that group gets a version without cyber guardrails. Developers and enterprises come later, with no date given. Google also says it is still adjusting guardrails based on tester feedback. Read the access terms.
3 Google's earlier bug hunter also went behind closed doors.
Gemini 3.5 Flash Cyber, launched in July 2026, is open only to governments and vetted partners. Google named Salesforce, Robinhood and Palo Alto Networks as early partners, and the coverage notes that Google chose them itself. Read the July gating report.
AI FORWORD
A model that patches its own findings is only as trustworthy as its test
The claim. Google says Argon moves past finding bugs to validating and fixing them. It also says the model found a critical flaw in healthcare software that earlier frontier models missed. Read the announcement coverage.
The test. The bug results come from Google's own internal tests. Its Wiz comparison is a test run by a partner, which Google uses to show a result. Neither is independent. Check the caveats.
The gap. Google did not name the healthcare software or say whether that flaw is patched. The Rust rewrites it describes are not yet in production. Read the full report.
The reframe. A bug finder that also writes the fix has to be checked twice, once for the bug and once for the patch. Treat every automated fix as a suggestion until a human reviewer and a test suite agree with it.
PRESENTED BY :
Turn today's calls into tomorrow's proposal
Wispr Flow Notetaker brings your meetings into Claude or ChatGPT through a built-in connector. Ask for a proposal draft or a deal recap, and your AI works from an accurate record of what was said.
SOCIAL SNAPSHOT
What to check before you trust a bug-hunting model
$2 in, $10 out. That is the introductory price per million tokens, and it doubles afterward. Cached input costs 95% less than standard input. Read the price table.
Output limit up to 1 million. Google raised Argon's output limit from 64,000 tokens to 1 million, which matters for large code reviews. Read the specs.
A 68% security score. On CWE-bench v1, which tests fixes for security flaws, Google reports Argon at 68%, tied for first. Read the benchmark list.
Only one in five solved. The CyberGym benchmark, with more than 1,500 documented vulnerabilities across 188 projects, is where the best agents solve about one case in five, according to the coverage of the earlier Google model. Read the CyberGym note.
PROMPT STATION
Triage a bug report before anyone fixes it
A vulnerability report can arrive with little detail and a lot of urgency. This prompt works in Claude, ChatGPT or Gemini and sorts a report into what to verify first, so your team reproduces the bug before it writes a patch.
Here is a bug report we received: [PASTE THE REPORT]. The affected system is [DESCRIBE THE SYSTEM, ITS VERSION AND WHO USES IT].
Act as a security triage lead. First, list what the report claims and what it does not show. Second, rate the severity by the damage a real attacker could do, not by how alarming the wording sounds. Third, write the exact steps a tester should follow to reproduce it.
Finish with the three questions I must answer before anyone writes a fix, and the one test that would prove the fix works.Tip: Swap the brackets for a real report, with names and internal details removed. Ask for the reproduction steps first, because a fix that cannot be reproduced is a guess.