I don't know why I do this. submitted by /u/TheSweatyCretin [link] [comments]
OpenAI is hosting a livestream event. Details about the specific announcements, product launches, or demonstrations will be revealed during the broadcast.
The last time OpenAI did an unannounced livestream, they dropped GPT-4 Turbo and changed pricing overnight
OpenAI is launching ChatGPT Images 2.0 with major upgrades to image generation capabilities. Watch the livestream announcement at https://openai.com/live/
OpenAI is positioning this as a direct competitor to established image generation tools, suggesting they're confident enough to challenge the current market leaders
Throughout 2025 the standard response to any complaint about an LLM was some version of "just wait 3-6 months, the next generation will handle this effortlessly." The argument was everywhere. Every limitation was temporary, every missing capability was a few iterations away, every autonomous agent demo was a preview of imminent reality. It's April 2026 now and worth checking how that held up. On r/ClaudeAI this week there's a long thread about Opus 4.7 where multiple users argue it's a regress
Someone actually tested Mistral Medium 3.5 on AMD's new Strix Halo chip, and the results are... not great. For a 48k-token prompt with 4k thinking tokens, it took about 2 hours just to get an answer about code architecture. Yeah, you read that right—two hours. The takeaway: if you want to run this locally on Strix Halo, queue it up before bed. The technical setup involved heavy optimization (Q5_K_XL quantization, GPU acceleration with -ngl 999, cache reuse), but even with all that tuning, it's still a crawl. Not exactly the "instant local AI" dream, but hey, at least it works.
Tech Blogger Take
Someone just compared ChatGPT and Gemini using 'Shittington Bear' and honestly, this is peak 2026
A Reddit user called TheSweatyCretin just dropped an AI comparison post titled 'Shittington Bear - ChatGPT Vs Gemini' and I can't stop thinking about it. Not because of the results — we don't even know what they tested — but because of what this represents. We've reached the point where people are casually pitting AI models against each other like they're Pokemon cards, using the most random prompts imaginable. The title alone tells you everything: we're not doing serious benchmarks anymore, we're just throwing weird stuff at these models to see what happens. And you know what? That might actually be more useful than all those sterile academic comparisons. When someone tests 'Shittington Bear' (whatever that means), they're probably closer to how you'll actually use these tools than any formal evaluation. The fact that this person admits 'I don't know why I do this' is the most honest thing anyone's said about AI testing in months.
AI Analysis
AI Development
mediumStop treating AI model comparisons like sports rivalries and start focusing on which tool actually solves your specific problems
The most telling part isn't which AI won — it's that someone felt compelled to pit them against each other in the first place
You're probably choosing AI tools based on hype instead of what actually works for your workflow
Job Impact Analysis
Content Creator
Role ShiftAI comparison content is becoming the new tech review meta — easy clicks, endless debates
Focus on practical use cases instead of abstract comparisons — show people solving real problems
Product Manager
OpportunityUser-generated AI comparisons reveal what features actually matter to real users versus marketing claims
Monitor these grassroots comparisons to understand where your AI integration strategy should focus