Query
Find articles
Pick a keyword, optionally a second one to combine it with (and, or, either but not both, or but not), then narrow the articles down by text, source and time range. Keywords update the results right away; filters apply with their button.
Query
How they overlap
Of the articles on each keyword in the last 7 days, with the same text and sources, how many also mention the other. Per lean: the share of its outlets' articles on Sam Altman that mention cybersecurity.
25.0% of the 4 articles on Sam Altman also mention cybersecurity, as do 1.1% of the 90 articles on cybersecurity.
- Left-leaning1 of 2 articles
- 50.0%
- Least biased0 of 1 article
- 0.0%
- Right-leaning0 of 1 article
- 0.0%
Who picked it up when
The Guardian mentioned it first (Oct 23, 2026, 2:48 PM EDT). No least biased outlet mentioned it. No right-leaning outlet mentioned it.
One row per source with a matching article, from the most left-leaning on top: a dot for each article, on a bar for each stretch of its coverage (a pause of more than 24 hours starts a new one). Hover or tap a dot for the headline, click it to read the article.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
Results
1 article mentions Sam Altman and cybersecurity in the last 7 days (Oct 21 to Oct 27).
| Article | |||
|---|---|---|---|
| The Guardian | ‘Black October’: cybersecurity experts sound the alarm over new era of AI-enabled hackingThe Guardian After discovery of severe bug in the PHP programming language, executives warn of ‘vulnerability tsunami’ Leaders in cybersecurity are sounding the alarm after the discovery of a major vulnerability this week. They are predicting that artificial intelligence tools will expose more fundamental weaknesses in global internet infrastructure in the months to come. “I no longer think we’re going to be able to patch all bugs,” said Sam Altman on Thursday evening, joining the chorus of executives. In the midst of what’s being called “Black October”, for which researchers used AI to help identify critical flaws in a coding language that is used across millions of websites and may have been unpatched for years, tech executives are warning about the ways AI will be used both to identify and exploit security vulnerabilities at an unprecedented scale and pace. Continue reading... | 0.60 |
Source leans by Media Bias/Fact Check.
Narrow further
Other keywords in the matching articles: the share of them that mention each, with the number of articles.
No other keyword appears in more than one of the matching articles.
Coverage by source
The share of each source's stories in the last 7 days that match the query, from left to right. Sort the table to reorder the bars.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
| The Guardian | 0.2% | 1 | 632 |
Coverage by lean
The share of stories that match the query, in the last 7 days, averaged over the outlets of each political lean with at least 3 stories. The groups differ in size, so a single outlet weighs more in the smaller ones.
- Left-leaning1 of 15 sources
- <0.1%
- Least biased0 of 8 sources
- 0.0%
- Right-leaning0 of 15 sources
- 0.0%
Lean index −3.6: covered more by left-leaning outlets
Each outlet at its MBFC bias score, from −10 (far left) to +10 (far right), as high as the share of its stories that match the query. The lean index is the average score of the outlets covering it, weighted by that share.
lean indexour sources' average (+0.4)leftcenterright
Bias scores by Media Bias/Fact Check.
Source leans based on ratings by Media Bias/Fact Check.