The Verge⁠55%

OpenAI may announce a ChatGPT smart speaker this year ⁠34%

By Emma Roth⁠43% Jay Peters⁠31%

7/14/2026, 9:26:32 PM

BS Summary: This article contains 20 faulty reasoning types, including Unattributed Quote, Availability Heuristic, and Halo Effect, with Appeal to Authority as the most egregious example at 30.1% saturation with 84 hits. Analysis detected 715 faulty-reasoning hits from 279 analyzed words, generating a BS Score of 42.2% and a BS Rank of ⁠34% (13,996 of 21,164 articles). This article is better (less manipulative) than 66.10% of the article peer group.

OpenAI’s first device is set to be a smart speaker that lets you talk with ChatGPT, according to a report from Bloomberg. 
The device apparently won’t have a screen, but will use a camera and additional sensors to “understand” your environment. 
The report comes just days after Apple filed a lawsuit against OpenAI that accused the AI company of stealing hardware secrets. 
OpenAI, in a new statement on Tuesday, said that it is “not aware of any evidence that this complaint has merit.” 
Sources tell Bloomberg that OpenAI’s device will also feature a rechargeable battery that will allow users to carry it with them. 
It will offer smart home controls, along with the ability to play media, answer questions, and respond to messages. 
Bloomberg additionally says that the device will use GPT-Live, OpenAI’s upgraded voice model announced last week. 
Bloomberg reports that the device will use “mechanical elements that can move on their own” in order to “connect on a humanlike level with users.” 
In February, The Information reported on a similar device equipped with a camera that can recognize items or people nearby. 
The rumored speaker will launch in 2027 as part of OpenAI’s plans for a bigger hardware lineup, which currently includes “roughly” five devices, according to Bloomberg. 
OpenAI is collaborating with former Apple designer Jony Ive on the new devices following its nearly $6.5 billion acquisition of his design company, io Products. 
OpenAI didn’t immediately respond to a request for comment. 
The company has also been teasing a Codex gadget called the Codex Micro, made in partnership with Work Louder, that’s scheduled to release on July 15th. 
Article reasoning-pattern comparisonThis article: 0.0%Emma Roth: 4.7%The Verge: 3.6%Confirmation Bias0.0%This article: 9.3%Emma Roth: 2.2%The Verge: 1.3%Anchoring Bias9.3%This article: 17.9%Emma Roth: 4.0%The Verge: 3.7%Availability Heuristic17.9%This article: 0.0%Emma Roth: 0.0%The Verge: 1.3%Representativeness Heuristic0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.8%Hindsight Bias0.0%This article: 16.1%Emma Roth: 1.5%The Verge: 1.7%Overconfidence Bias16.1%This article: 16.5%Emma Roth: 11.4%The Verge: 6.0%Framing Effect16.5%This article: 0.0%Emma Roth: 1.4%The Verge: 0.9%Loss Aversion0.0%This article: 0.0%Emma Roth: 1.4%The Verge: 0.5%Status Quo Bias0.0%This article: 0.0%Emma Roth: 0.4%The Verge: 0.4%Sunk Cost Effect0.0%This article: 3.2%Emma Roth: 7.3%The Verge: 4.0%Optimism Bias3.2%This article: 0.0%Emma Roth: 0.9%The Verge: 2.3%Pessimism Bias0.0%This article: 10.8%Emma Roth: 8.0%The Verge: 9.4%Negativity Bias10.8%This article: 7.5%Emma Roth: 3.8%The Verge: 1.4%Self-Serving Bias7.5%This article: 3.2%Emma Roth: 1.0%The Verge: 0.7%Fundamental Attribution Error3.2%This article: 0.0%Emma Roth: 0.4%The Verge: 0.1%Actor-Observer Bias0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.6%In-Group Bias0.0%This article: 0.0%Emma Roth: 0.6%The Verge: 0.4%Out-Group Homogeneity Bias0.0%This article: 17.9%Emma Roth: 3.0%The Verge: 2.9%Halo Effect17.9%This article: 0.0%Emma Roth: 0.0%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 5.7%Emma Roth: 2.6%The Verge: 1.8%Recency Bias5.7%This article: 16.5%Emma Roth: 1.2%The Verge: 0.4%Primacy Effect16.5%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Blind-Spot Bias0.0%This article: 0.0%Emma Roth: 0.6%The Verge: 1.2%Ad Hominem0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.4%Straw Man0.0%This article: 30.1%Emma Roth: 8.4%The Verge: 4.0%Appeal to Authority30.1%This article: 0.0%Emma Roth: 0.6%The Verge: 1.6%False Dilemma0.0%This article: 0.0%Emma Roth: 0.4%The Verge: 1.2%Slippery Slope0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.1%Circular Reasoning0.0%This article: 16.1%Emma Roth: 3.4%The Verge: 6.7%Hasty Generalization16.1%This article: 7.5%Emma Roth: 0.9%The Verge: 0.2%Red Herring7.5%This article: 0.0%Emma Roth: 0.3%The Verge: 0.7%Bandwagon0.0%This article: 0.0%Emma Roth: 1.4%The Verge: 4.3%Appeal to Emotion0.0%This article: 0.0%Emma Roth: 0.5%The Verge: 1.1%Begging the Question0.0%This article: 7.5%Emma Roth: 4.5%The Verge: 2.3%Post Hoc (False Cause)7.5%This article: 0.0%Emma Roth: 0.0%The Verge: 0.2%Tu Quoque0.0%This article: 0.0%Emma Roth: 3.3%The Verge: 0.8%Burden of Proof0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.3%Appeal to Nature0.0%This article: 0.0%Emma Roth: 0.3%The Verge: 0.3%Composition/Division0.0%This article: 7.2%Emma Roth: 2.0%The Verge: 3.6%Anecdotal7.2%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%No True Scotsman0.0%This article: 15.8%Emma Roth: 4.3%The Verge: 2.2%Ambiguity (Equivocation)15.8%This article: 0.0%Emma Roth: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Emma Roth: 0.8%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.2%Genetic Fallacy0.0%This article: 24.4%Emma Roth: 5.6%The Verge: 2.5%Unattributed Quote24.4%This article: 0.0%Emma Roth: 2.2%The Verge: 1.4%Quote-first Misdirection0.0%This article: 6.8%Emma Roth: 9.3%The Verge: 10.7%Biased Writer Voice6.8%This article: 0.0%Emma Roth: 0.3%The Verge: 1.1%Indoctrination0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 1.7%Politically Left Leaning Bias0.0%This article: 0.0%Emma Roth: 0.0%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 16.1%Emma Roth: 4.4%The Verge: 4.2%Attempt to Sell a Product or S…16.1%

279 words analyzed.

Speakers

3speakers48%attributed speech146writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 9 words • 0.0% coverageWriter's voice • 22 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageOpenAI • 21 words • 0.0% coverageWriter's voice • 21 words • 100.0% coverageWriter's voice • 19 words • 100.0% coverageBloomberg • 16 words • 0.0% coverageBloomberg • 25 words • 100.0% coverageThe Information • 20 words • 0.0% coverageBloomberg • 26 words • 0.0% coverageOpenAI • 25 words • 0.0% coverageWriter's voice • 9 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverage
Selected voice

Bloomberg

100%flagged-word coverage
67 attributed words50% of attributed speech100% writer coverage
0%20.0%40.0%Unattributed Quote+7.9 ptsWriter: 29.5%Bloomberg: 37.3%37.3%Attempt to Sell a Product -30.8 ptsWriter: 30.8%Bloomberg: 0.0%0.0%Biased Writer Voice-13.0 ptsWriter: 13.0%Bloomberg: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.