Press Hound

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

Keywords · results update right away
Meta Platformsorganization
OpenAIorganization
Filters · apply with the button

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 Meta Platforms that mention OpenAI.

3.4% of the 89 articles on Meta Platforms also mention OpenAI, as do 5.5% of the 55 articles on OpenAI.

Left-leaning2 of 44 articles
4.5%
Least biased0 of 19 articles
0.0%
Right-leaning1 of 26 articles
3.9%

Who picked it up when

It was already in the news on Oct 20, when this period starts, so who reported it first is not shown. No least biased 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.

Drag across the strip of articles per day to zoom into some days.

Source lean:leftcenterright

Source leans by Media Bias/Fact Check.

Results

3 articles mention Meta Platforms and OpenAI in the last 7 days (Oct 20 to Oct 26).

Articles matching the query
Article
NBC NewsOn Main Street, Goldman Sachs makes a bet on AINBC News

Goldman Sachs partners with OpenAI, Google, Meta and Anthropic to boost AI adoption among small businesses.

0.30
CBS NewsThe risks of trusting personal AI agents with your money, dataCBS News

With personal AI agents like Meta's Muse and OpenAI's Dots hitting the market, experts are warning of the risks associated with giving these chatbots access to your data and money. CBS News' Megan Cerullo has more.

0.40
AxiosI let agents plan a WNBA finals trip (but kept my wallet to myself)Axios

Let's call it the Battle of the Bots, part 1: I decided to put two of the newest personal AI agents, OpenAI's Dots and Meta's Muse , through their paces, with the WNBA Finals providing a natural testing ground. Why it matters: AI companies are racing to create the digital assistant we turn to for everything from shopping to travel planning. But there's still a gap between what these agents can do and what I'm comfortable letting them do. They also need to pass what we'll call "The Human Benchmark" : that is, can they do something as fast, or as well, as a human? The answer is ... not quite yet, but the capabilities are still impressive. The big picture: For the test, I asked each assistant to plan a fantasy trip to Atlanta to see my beloved Golden State Valkyries, organize a purple-themed brunch watch party and create souvenir programs. I also had them help me shop for Valkyries merch, which eventually turned into a side quest for WNBA basketball cards. The cost: Muse is free for most uses, with optional $20 and $100 monthly subscriptions. Dots requires a ChatGPT Pro subscription, starting at $100 monthly, or access through a business or enterprise plan. More on Dots . Where they shined: Both agents were surprisingly good at handling complicated, multistep assignments. When I asked them to find flights and tickets for Game 3 in Atlanta, both caught that the game had been moved up a day and that tickets weren't yet on sale to the general public. The available seats were being offered through the resale market, likely at inflated prices. Both found good flight options. Muse opened a browser and let me enter my information to try to sign up for a ticket presale. Dots, meanwhile, flagged a scheduling conflict with an enrollment fair, which it gleaned from my AI-assisted effort to keep tabs on the joys of finding the right high school in San Francisco. Where they were creative, but imperfect: Both agents could turn broad instructions into surprisingly elaborate finished products, though neither was quite ready to replace a human editor. For my purple-themed brunch, Muse designed a colorful 10-page recipe booklet featuring ube waffles and lavender-honey butter. Dots produced a more practical eight-page packet with detailed cooking instructions and attention to dietary preferences. Muse's shopping list called for 12 eggs, while its recipes required 13. Both agents also designed invitations that needed aesthetic and language edits before I'd send them to friends. Both menus were far more elaborate than anything I'd actually make for a basketball watch party. Left to my own devices, I'd probably just buy some purple-frosted donuts. Another creative test: I asked both agents to create a 1980s-style WNBA Finals souvenir program, then later to turn my photos from Game 1 into a keepsake. Dots' 38-page vintage program was more visually engaging, with player photos, graphics and extensive statistics. Muse's 35-page version was less attractive but had some fun touches, including a fictional computer ad and an advertisement for my imaginary brunch. Both programs contained questionable statistics. Muse later sent an unsolicited update correcting several factual errors. For the photo program, Dots delivered a 12-page version in just 47 seconds, while Muse took considerably longer. It did, however, suggest an interesting photo spread highlighting different generations of Valkyries fans. Where they struggled: Actually doing things. I asked both agents to help me buy Valkyries merchandise, eventually settling on WNBA trading cards. Both helped compare options and prices. I chose Target, where my store credit card offered a 5% discount and free shipping. Muse attempted to complete the purchase but got stuck at Target's sign-in page. Dots instead directed me to the Target app, where my account and payment information were already saved. Dots' less automated approach turned out to be faster, even though both services support purchases with user approval. The trust problem: Both agents could have done more if I'd been willing to give them greater access to my accounts and wallet. I'm not yet comfortable authorizing purchases of hundreds or thousands of dollars, or at a point of trusting them enough for consequential decisions. The bottom line: For me, the sweet spot for these agents is doing the research and legwork while leaving me to make the final decisions. P.S.: I couldn't actually make the Atlanta trip or host the brunch because of other commitments. But I did end up buying three boxes of WNBA basketball cards. You know, for research.

0.45

Source leans by Media Bias/Fact Check.

Other keywords in the matching articles: the share of them that mention each, with the number of articles. The search icon searches for Meta Platforms and that keyword instead of OpenAI, keeping the text, sources, source type and time range.

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.

Articles mentioning Meta Platforms and OpenAI, by source, in the last 7 days
NBC News0.5%1197
Axios1.3%179
CBS News0.2%1486

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-leaning2 of 15 sources
0.1%
Least biased0 of 8 sources
0.0%
Right-leaning1 of 15 sources
<0.1%

Lean index −3.0: 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.

1 source has no MBFC bias score and is not shown.

Source leans based on ratings by Media Bias/Fact Check.