#TechIssues

[brooklyndadshow]

AI replacing "racist" with "Trump"

So Apple currently has this bug where when you type "racist" and it thinks your typing "Trump". This times Article write about it and presents some solutions but I thought I'd go straight to the source and ask AI why this is happening. Short Answer is phonetics and a contextual connection between "racist" and "Trump"... um not surprised. Full chat here.

Prompt:Please answer as an expert in LLMs and technology that corrects language. Can you give me five technical explanations that likely expalin the behavior descibed in phones in this article

Answer:

Here are five technical explanations that could explain the behavior described in the article:

Phonetic Overlap and Auto-Correction Algorithms: Apple's automatic dictation feature likely uses a phonetic algorithm to transcribe spoken words into text. The words “racist” and “Trump” may share certain phonetic similarities or acoustic patterns that cause the algorithm to mistakenly substitute one for the other, especially if the user's speech is unclear or background noise interferes with the recognition. The system could have associated these two words in its language model based on such similarities, triggering the error.

Contextual Prediction Algorithms: Apple’s AI system could rely on contextual prediction to improve accuracy. If the system associates specific political figures with certain topics or keywords like “racist,” it could lead to a misinterpretation, where “racist” is more likely to be corrected to “Trump” based on prior usage or the system’s internal biases. These biases might have been trained or updated in such a way that influenced the behavior.

Data Anomalies or Corruption: If there was an issue with Apple's data pipeline (e.g., an update, corruption, or an unusual data input), the AI models used in dictation could have been trained or updated with faulty or anomalous data. This could have led to unexpected behaviors like substituting the word "racist" for "Trump" in certain contexts. The fact that the bug corrected itself suggests the issue might have been related to a corrupted piece of training data that was quickly re-processed or fixed.

Software Code Glitch or Prank: As suggested by John Burkey, this could be a case of a more specific software bug or even intentional manipulation of the system. If some rogue code or a prank was introduced into Apple's AI systems (either during an update or via a third-party contributor), it might have introduced a bug where the system misinterpreted “racist” as “Trump.” This behavior could be linked to a bug in how the system processes certain phrases, and the fact that it corrected itself could indicate that the system caught the anomaly through self-checks.

Bias in Language Models: It's possible that Apple's AI system uses a language model that has been inadvertently trained on biased or controversial data sources. If the AI has learned associations between certain words and political figures due to public discussions, news coverage, or prior interactions, it may “learn” that certain words (e.g., “racist”) are more commonly associated with specific individuals (e.g., “Trump”). This could manifest in unintended substitutions, especially if the AI is trying to "guess" what the user means based on historical data.

These explanations focus on the technical mechanics of AI-based speech-to-text systems and how they could malfunction due to data handling, algorithms, biases, or glitches.

Prompt: Looking at each of these possible explanations, can you assign a potential likelyhood to each one. I'm trying to figure out what is most likely

Answer:

Certainly! Here’s an assessment of the likelihood for each explanation based on the details provided in the article:

Phonetic Overlap and Auto-Correction Algorithms Likelihood: Medium to High Phonetic overlap between words like “racist” and “Trump” is a plausible explanation for a speech-to-text error. Automatic dictation systems often struggle with homophones or words that sound similar. Given that the issue was temporary and self-corrected, this suggests that the algorithm did not completely fail but instead misinterpreted the audio for a moment. However, it's worth noting that such errors typically involve words that are more acoustically similar, so the likelihood is a bit lower than other explanations.

Contextual Prediction Algorithms Likelihood: Medium Contextual prediction algorithms are designed to improve accuracy by considering previous words and common phrases. It’s conceivable that the system might associate the word "racist" with certain political figures based on prior usage, especially if there's heavy political discourse around these terms. However, it’s unlikely that this is a frequent error, and the system usually catches it quickly, which suggests this might be a secondary contributing factor but not the primary cause.

Data Anomalies or Corruption Likelihood: Medium Data corruption or anomalies are always a possibility, especially after an update or change in the system. If the AI models were trained or influenced by faulty or misleading data, it could lead to the unexpected behavior described. Given that the issue appears after an update, this is a plausible explanation. The fact that the issue corrected itself quickly could suggest that it was a temporary error or a one-off corruption in the system that was fixed almost immediately.

Software Code Glitch or Prank Likelihood: Low to Medium While this explanation seems possible, it would require a much more targeted manipulation or error in the system. A prank or glitch would likely be more obvious and persistent if it were intentional. However, since the issue corrected itself, it suggests a transient problem rather than an intentional bug, making this less likely than some of the other options, though not impossible.

Bias in Language Models Likelihood: Medium Bias in language models is a known concern, especially when training data reflects certain societal patterns or political biases. Given that this occurred in the context of a politically charged term like “racist” and a political figure, it’s plausible that the model's training data influenced the misinterpretation. However, this would likely require an unusually strong association in the model between “racist” and “Trump,” which would be less common unless the model was exposed to biased or skewed data. Still, this remains a potential factor in the mix.

Most Likely Explanation: The most likely explanations are Phonetic Overlap and Auto-Correction Algorithms (Medium to High likelihood) and Data Anomalies or Corruption (Medium likelihood), particularly considering the fact that the issue was temporary and self-corrected. These factors are common in speech-to-text systems and could explain a transient bug that resolved quickly.

Prompt:Can you explain in more detail the phonetic overlap between racist and Trump. I don't hear it when I say the words

Answer:

Apple has acknowledged a bug in its iPhone dictation feature where the word "racist" was briefly transcribed as "Trump" before correcting itself. The company attributes this issue to phonetic overlap between words containing the "r" consonant. citeturn0news10

Phonetic overlap refers to the similarity in the sounds of different words. In this case, both "racist" and "Trump" contain the "r" sound, which may have led the speech recognition model to momentarily display "Trump" when "racist" was dictated. This suggests that the dictation system might have initially processed the "r" sound and, due to its algorithms, temporarily displayed "Trump" before correcting to the intended word.

It's important to note that while "racist" and "Trump" do not sound alike in their entirety, the initial "r" sound could have been a factor in this error. Apple is working on a fix to address this issue. citeturn0news10

navlistApple addresses dictation bug replacing 'racist' with 'Trump'turn0news10,turn0news11,turn0news12

Prompt:

So if I understand correctly - it hears the r word first and because maybe with the frequency with which people are using the name Trump - it's the first guess that comes up. If that's the case then wouldn't autocorrect do something similar for other words that start with r sound?

Answer

Yes, you're understanding it correctly. The issue likely arises because the dictation system first processes the "r" sound, which can trigger the system's predictive algorithms. Since “Trump” is a common word in certain contexts, especially politically, it may be one of the first suggestions the system provides as part of its predictive text process. Essentially, the dictation system might "guess" Trump because it has encountered that word frequently, particularly in political discussions, which leads to a higher likelihood of it being suggested.

Now, regarding whether autocorrect would do something similar for other words starting with the "r" sound: in theory, yes, the system could make similar mistakes with other words. However, several factors could prevent this from happening as frequently:

Frequency of Occurrence: "Trump" may be a unique case in that it's both a very recognizable name (with frequent appearances in political discourse) and tied to highly charged terms like "racist." Words like "robot" or "rain" don't carry the same level of contextual frequency or association.

Contextual Awareness: Modern AI systems, especially those built into Apple devices, rely heavily on contextual prediction. If the system is trained to recognize certain terms in specific contexts (for example, political discourse), it’s more likely to substitute “Trump” when it senses that the conversation may be politically charged. Words like "robot" or "racist" wouldn't trigger the same kind of predictive behavior because they aren't as commonly associated with one another.

Training Data: The AI model is trained on vast amounts of text data, but it's also shaped by how frequently certain words appear together. Words that are used together often (e.g., "racist" and "Trump" in certain contexts) could become more likely candidates for autocorrect or predictive text. Other words that start with "r" (e.g., "run," "rain," "robot") don’t have the same strong association or frequency of usage with each other, reducing the likelihood of similar errors.

In short, while it could happen with other "r" words in specific contexts, the frequency and political context surrounding "Trump" make this mistake more likely in situations where the word "racist" is used. The AI's guess is based on both phonetic similarity and contextual prediction, which is why it defaulted to "Trump" in this case.

Prompt

Wait a second, so it's about context. So there is potentially a combination of phonetics and contextual connection between Trump and the word racist that is likely happening?

Answer:

Yes, exactly! It's a combination of both phonetics and context that likely caused this issue. Here's how the two factors come into play:

Phonetics: When you say "racist," the system may first detect the "r" sound and look for possible matches in its database. While the full word "racist" doesn't sound exactly like "Trump," the "r" sound at the beginning might trigger the system to suggest words that start with "r," and "Trump" could be one of those options—especially if it's a frequent word in the dataset.

Context: This is the key part. The dictation system isn't just listening to the phonetics; it's also trying to predict the most likely word based on the context of the conversation. Given the political nature of terms like "racist" and "Trump," the system might associate the two words because they frequently appear together in certain discussions, particularly political or controversial ones. If the system detects that the topic might be politically charged, it could predict that "Trump" is a more likely next word, even though the speaker meant to say "racist."

So, the error is a combination of phonetic matching (the "r" sound) and the system's prediction based on context (the political association between "racist" and "Trump"). This dual influence is likely why the system made that substitution.

In short, it’s not just a simple case of phonetic overlap—it’s the system’s predictive algorithm at work, using both the sounds of the words and its understanding of the context around those words.

[globalblogzone]

Without managing bugs and glitches, your On-Demand App Development Project won’t get the full credit it deserves. Learn how to fix bugs before it becomes a major problem.

[mortiz888-blog]

Election Chaos: Disinformation and Technical Glitches Explained!

Join us in this captivating election coverage as MSNBC hosts analyze the implications of disinformation on recent results. Experience firsthand the technical hiccups and get insights from both MSNBC and Fox News experts on how this shapes our democracy! Tune in for a thought-provoking discussion. #ElectionCoverage #MSNBC #FoxNews #Disinformation #VotingResults #PoliticalAnalysis #DemocracyInFocus…

[memenewsdotcom]

Global technology outage

[michaeldagaymerx]

Happy Solar Eclipse Day and it also happens to be the day Nintendo shuts down the Wii U and 3DS online servers. I’m going to miss playing those consoles online. I’d stream it one last time on Twitch but my computer has broken and I need to get it fixed so I won’t be streaming for a while unfortunately. Just wanted to keep you all updated on why I haven’t been streaming much lately. I hope to stream again really soon but I don’t have an exact date as of now

[swadeshlive]

ठप हुई एक्स हैंडल की सर्विस, यूजर्स नहीं कर पा रहे प्लेटफॉर्म का इस्तेमाल |Swadesh Live|Madhya Pradesh News In Hindi| Breaking News In Hindi

एक्स हैंडल पर यूजर्स प्लेटफॉर्म के डाउन होने को लेकर पोस्ट शेयर कर रहे हैं।

सोशल मीडिया प्लेटफॉर्म का इस्तेमाल करने यूजर्स को परेशानी आ रही है। नई दिल्ली। पॉपुलर सोशल मीडिया प्लेटफॉर्म एक्स के डाउन होने की खबर मिल रही है। एक्स हैंडल पर यूजर्स प्लेटफॉर्म के डाउन होने को लेकर लगातार पोस्ट कर रहे हैं। सोशल मीडिया प्लेटफॉर्म का इस्तेमाल करने वाले यूजर्स प्लेटफॉर्म का इस्तेमाल नहीं कर पा रहे हैं। अलग-अलग वेबसाइट के आउटेज को रिपोर्ट करने वाली ऑनलाइन वेबसाइट डाउनडिटेक्टर में भी इस आउटेज को देखा जा रहा है। एक्स हैंडल हुआ डाउन ऑनलाइन वेबसाइट डाउनडिटेक्टर के मुताबिक एक्स हैंडल पर सबसे ज्यादा परेशानी गुरुवार सुबह 11 बजे के बाद से आनी शुरू हुई है। आज करीब 11 बज कर 9 मिनट पर एक्स हैंडल के डाउन होने को लेकर 4 हजार से ज्यादा शिकायतें सामने आ चुकी हैं।

Swadesh Live|Madhya Pradesh News In Hindi| Breaking News In Hindi|Trending News In Hindi|Hindi News

[monriatitans]

***ANNOUNCEMENT*** Sunday, July 23, 2023

So, I ended up cutting this [stream] short because of tech issues piling up I didn't have the spoons to deal with. Still don't.

Could they have been prevented? Yes, had I expected them. But still preventable.

I didn't expect everything working perfectly two weeks ago to suddenly crumble. I didn't expect Streamlabs to fuck with the sound settings and make it so I couldn't be heard. I didn't expect the Chromebook to suddenly disconnect from the wifi, preventing the close captions from working, which is what really did it.

I don't talk about it as much as I should, but I want my streams to be as inclusive as possible, so, when the Chromebook stopped working, I said fuck it.

This is what I get for not having a backup plan. And, maybe, for not taking my Adderall.

These are all the updates I had for today! Thank you for reading.

May every decision you make in the future be in the spirit of fairness and may the rest of your day NOT go to $#!7!

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The image was made with, then shared via the Quotes Creator App to Instagram; check out the initial post here! Watch MonriaTitans & WGS on Twitch and YouTube! Click here to check out the MonriaTitans & WGS Bookstore!

[txttletale]

🔥 Lego

the glatorian soft reboot for bionicle was theoretically an interesting idea but the set lineup was fucking nonsense. why did they abandon the clear 'six bad guys / six good guys' approach (or even the 2008 3-and-3 at a time approach) and make all the flagship sets just a bunch of random guys who weren't even friends or teammates or enemies or anything they werre just kind of all doing their own thing. as a child who was pretty invested in the bionicle plot i was still like 'who the fuck are any of these guys

[stellawembley]

Important Message for my Youtube Subscribers, and Members! ✨

[scythelordsucks]

joel getting snippy bc of techissues on stream can be something so personal

[greencheekconure27]

You know what I would appreciate? If the search results for "Russian imperialism" on Tumblr werent 50% cute pictures of the Russian Imperial family.Just saying.

Anyway, on an adjacent note,here's another one for the blocklist:

@ techissus

The rest of the posts about Ukraine are all from tankies like @ workersolidarity & co

[hillingdontoday]

Users Left in the Dark as Alexa Fails to Respond

Amazon Echo outage leaves users in the dark! Alexa fails to respond, forcing reliance on manual switches.  Read more on Hillingdon Today. #AmazonEcho #Echo #Alexa #AlexaOutage #SmartHome #TechGlitch #TechIssues #EchoTrouble #VoiceAssistant #TechFail #TechProblems #EchoDown #EchoOutage Read the full article

[appliancesbank]

Having a bit of a struggle with your Roomba connecting to Wi-Fi? 🤖 Don't worry; you're not alone! Here are some tips to ensure your robot vacuum stays on track and your floors stay spotless. 🏡💫 #Roomba #TechIssues #Troubleshooting

[michaeldagaymerx]

Just wanted to make a video about why I haven't been streaming all that much on Twitch. My computer isn't working and needs a new hard drive but I might be able to maybe use a laptop to stream instead but unsure as of now. I hope to be back soon and I miss you guys 🖥️💻

[lahoreherald]

🚨 #WhatsAppDown In Pakistan 🇵🇰: Users report not being able to send or receive messages! 📵 Attention, fellow WhatsApp users in Pakistan! It seems like we are facing some technical difficulties with the app today. Many users are reporting issues with sending and receiving messages on the platform. Rest assured, the WhatsApp team is likely already working hard to resolve the problem, and we hope it will be fixed soon. In the meantime, let's stay patient and keep an eye out for updates from WhatsApp support. Feel free to share any additional information you might have about the situation, as it can help others stay informed. And remember, this is an excellent opportunity to explore alternative means of communication or catch up on those long-overdue face-to-face conversations! 😉 #WhatsApp #WhatsAppOutage #TechIssues #Communication #StayConnected