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Let the You.com team know of any bugs you're experiencing in the product. Before creating a new post, search to see if a similar one already exists and upvote it instead.
The current situation is extremely serious.
Grok naming issue (It has already been several months since Grok-4 and Grok-4.1-Fast began routing to the Grok-4.3 version, yet not only has the model not been added, even the name has not been updated.) A bug in the mobile app where file uploads are not recognized. When creating a custom agent in the app, the default model always appears as GPT-4o. A bug on the web where the custom agent prompt is not visible. The chat export feature (It has remained unfixed for an astonishing 8 months. This is the most shocking issue.) The Android app occasionally freezes while generating chat responses. A bug where a context limit warning appears even when using not even 65,536 tokens, but only about 30 to 40% of that amount. Pre-file upload function is not working in GPT-5.4-mini No Discord representative (Recently, even Manish, who was previously the most active communicator, has stopped responding. At the same time, the company's promotional activity on LinkedIn and X remains extremely active, making the contrast even more striking.) These are just the issues that came to mind immediately, and these are not feature requests. They are bugs currently affecting You.com . This thread absolutely should not be closed until these issues are resolved. As someone who has been using You.com for three years, I have been patient for as long as I possibly could. Please consider how the You.com brand established its image across various platforms. The consumer-facing You.com service effectively serves as the gateway to the You.com Platform. However, the issues listed above are severe enough to damage the reputation of the You.com Platform itself, which is now the company's primary focus. How many people are going to believe that a company possesses outstanding technology when it cannot even maintain these fundamental aspects of its own platform? I fully understand that the business model has changed. However, the current situation has gone far beyond that. Even if the company's primary focus has shifted from the consumer service to the enterprise platform, the consumer-facing You.com platform still serves as the entry point that increases awareness of and accessibility to You.com . At this point, its priority has not only been pushed aside, but it is difficult to tell whether it is being maintained at all. This is not a matter of incompetence. It is a complete platform resource allocation problem. While promotional activities on social platforms such as X and LinkedIn are extremely active, as someone who uses both you.com and you.com/platform , the difference in stability and update frequency is so significant that it genuinely feels as though they were developed by entirely different companies. I genuinely like You.com as a company. That is precisely why I am being so vocal about this.
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Time Injection Bug – 12-Hour Offset in System Context Sent to LLM (AM/PM Conversion Error + Duplicated "UTC" Suffix)
Subject: Time Injection Bug – 12-Hour Offset in System Context Sent to LLM (AM/PM Conversion Error + Duplicated "UTC" Suffix) ## Summary The current time injected into the LLM's system context is offset by exactly 12 hours during the PM half of the day (UTC). Additionally, the timezone suffix "UTC" appears duplicated in the injected string. This causes the AI assistant to operate with an incorrect notion of the current time, which can affect any time-sensitive responses (date reasoning, "today/tomorrow" references, scheduling, tool calls with time parameters, etc.). ## Severity Medium – Does not break functionality, but silently corrupts time-aware responses for ~50% of the day for all users. Particularly problematic because answers remain plausible-sounding while being factually wrong. ## Environment Platform: You.com web chat OS: Windows (10/11) Browser: Brave 1.90.122 Model used when reproduced: Claude (as served via You.com ) Date of observation: 2026-06-13 ## Steps to Reproduce Open a new chat session on You.com at any time during the PM half of the UTC day (i.e. 12:00–23:59 UTC). Verify the actual UTC time in the browser console: new Date().toISOString() Ask the assistant what time it currently believes it is. Compare the assistant's reported time against the browser's UTC value. ## Actual Result Browser console output: 2026-06-13T13:43:20.551Z (= 13:43 UTC) Time string injected into the LLM context (verbatim): "Saturday, June 13, 2026 01:43 UTCUTC" The assistant therefore believes it is 01:43 UTC instead of 13:43 UTC. Two distinct issues are visible in the injected string: (a) Hour value is off by 12 (13:43 → 01:43) — classic AM/PM conversion bug. (b) The literal token "UTC" is duplicated ("UTCUTC"). ## Expected Result The injected time string should contain the correct UTC hour in 24-hour format and a single "UTC" suffix, e.g.: "Saturday, June 13, 2026 13:43 UTC" ## Likely Root Cause (hypothesis) The duplicated "UTC" suggests two code paths concatenating the timezone label onto an already-formatted string. The 12-hour offset strongly suggests the time is being formatted with a 12-hour format specifier without preserving the AM/PM marker. Common culprits: - Python: strftime("%I:%M") used instead of strftime("%H:%M") - Java/ICU: pattern "hh:mm" used instead of "HH:mm" - .NET: "hh:mm" used instead of "HH:mm" - JS Intl: hour12: true without explicit dayPeriod handling The bug only manifests in the PM half of the UTC day, which is consistent with this class of error (AM hours render identically in 12h and 24h format). ## Impact All time-sensitive AI responses are silently wrong for half of every day. Affects scheduling, "what day is today" reasoning, recency judgments, and any backend tool calls that consume the injected timestamp. Users are unlikely to notice unless they explicitly ask the assistant for the current time, making this a high-trust-erosion bug once discovered. ## Suggested Fix Audit the time formatting code path that produces the system-context timestamp; switch any 12-hour format specifiers to 24-hour equivalents. Remove the duplicated "UTC" suffix — ensure the timezone label is appended exactly once. Add a unit/integration test that asserts the injected time string matches a 24-hour ISO-like pattern (regex such as ^[A-Z][a-z]+, [A-Z][a-z]+ \d{1,2}, \d{4} ([01]\d|2[0-3]):[0-5]\d UTC$ ). Consider switching to ISO 8601 format end-to-end (e.g. "2026-06-13T13:43Z") to eliminate ambiguity entirely. ## Additional Notes The bug was identified by cross-checking the assistant's reported time against the browser's new Date().toISOString() output, which returned the correct UTC value. This confirms the client and the user's system clock are correct; the defect is server-side in the time-injection layer that builds the LLM system prompt. Happy to provide further session logs or reproduce on request.
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