Meta removes controversial AI feature on Instagram after backlash 25%

By Lucas Ropek35% https:49% techcrunch.com50% #45% schema44% person45% image45% 39370b3b326582f94dc05975c153eb2857%

7/10/2026, 11:55:07 PM

BS Summary: This article contains 2 faulty reasoning types, including Hindsight Bias, with Attempt to Sell a Product or Service as the most egregious example at 10.2% saturation with 50 hits. Analysis detected 71 faulty-reasoning hits from 488 analyzed words, generating a BS Score of 38.5% and a BS Rank of 25% (10,581 of 14,081 articles). This article is better (less manipulative) than 75.10% of the article peer group.

Meta has axed a controversial feature that allowed users to modify photos from public Instagram accounts using AI. 
The feature, which was rolled out earlier this week along with a batch of other AI tools, “missed the mark” and is no longer available, according to the company. 
Earlier this week, Meta announced Muse Image, a new AI image generator built by Meta Superintelligence Labs, its dedicated AI unit. 
Meta promoted one feature that allowed individuals to generate images by @-mentioning public Instagram accounts that they wanted to reference. 
The feature, which wasn’t designed to alert a user if their photos were used in this way, prompted immediate backlash. 
TechCrunch wrote its own guide on how to disable the feature. 
Now Meta has reversed course. 
The company issued a blog post Friday announcing that it was removing the feature. 
Puck News founding partner Dylan Byers was the first to share the company’s decision . 
“Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way,” the company posted on its blog. 
“We’ve heard the feedback that this feature missed the mark, so it’s no longer available.” 
TechCrunch reached out to Meta for more information and will update this article if it responds. 
Since its integration with social media platforms, AI has been misused with wild abandon  often to generate naked images of female celebrities . 
Platforms have attempted to mitigate this trend, although the guardrails introduced have often fallen short. 
In the case of Meta’s newly nixed feature, it seems somewhat obvious that it would have been abused in this way. 
Indeed, Byers notes that the decision to do away with the feature came “amid scrutiny from users and talent agencies, including CAA.” 
AI , Instagram , Meta , social media 
When you purchase through links in our articles, we may earn a small commission . 
This doesn’t affect our editorial independence. 
Senior Writer, TechCrunch 
Lucas is a senior writer at TechCrunch, where he covers artificial intelligence, consumer tech, and startups. 
He previously covered AI and cybersecurity at Gizmodo. 
You can contact Lucas by emailing lucas.ropek@techcrunch.com. 
Last chance to save up to $190 on TechCrunch Founder Summit. 
Join 1,000+ founders and VCs at all stages for real-world scaling insights and connections that move the needle. 
Savings end June 26, 11:59 p.m. 
PT . 
US cybersecurity agency CISA had to build its incident playbook during the incident, agency reveals 
Phia accused of ‘cookie stuffing,’ taking affiliate credit on purchases it didn’t earn 
Dominic-Madori Davis 
Meta removes controversial AI feature on Instagram after backlash 
Bluesky’s interim CEO, Toni Schneider, drops the ‘interim’ 
Apple sues OpenAI over alleged trade secret theft 
Open source AI matters more than ever, according to Hugging Face’s Clem Delangue 
Filing: College app Fizz accuses VC of sharing confidential startup information with rival Sidechat 
Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
4.3%
Overconfidence Bias
0%
Framing Effect
0%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
0%
Pessimism Bias
0%
Negativity Bias
0%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
0%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
0%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
0%
Red Herring
0%
Bandwagon
0%
Appeal to Emotion
0%
Begging the Question
0%
Post Hoc (False Cause)
0%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
10.2%

488 words analyzed.

Voice attribution · Experimental

Who is speaking?

See where attributed voices appear and how each speaker's manipulation signature differs from the writer's voice.

2speakers14%attributed speech420writer words
Voice mapSelect a segment to jump to its words
Selected voice

Meta

0%flagged-word coverage
46 attributed words68% of attributed speech17% writer coverage
Attempt to Sell a Product or Service-11.9 pts
Writer 12%Meta 0%

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

Analysis

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