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Topic: "user-experience"
OpenAI's IMO Gold model also wins IOI Gold
gpt-5 gpt-5-thinking gpt-5-mini gemini-2.5-pro claude opus-4.1 openai google-deepmind anthropic reinforcement-learning benchmarking model-performance prompt-engineering model-behavior competitive-programming user-experience model-naming model-selection hallucination-detection sama scaling01 yanndubs sherylhsu ahmed_el-kishky jerry_tworek noam_brown alex_wei amandaaskell ericmitchellai jon_durbin gdb jerryjliu0
OpenAI announced placing #6 among human coders at the IOI, reflecting rapid progress in competitive coding AI over the past two years. The GPT-5 launch faced significant user backlash over restrictive usage limits and removal of model selection control, leading to a reversal and increased limits to 3000 requests per week for Plus users. Confusion around GPT-5 naming and benchmarking was highlighted, with critiques on methodological issues comparing models like Claude and Gemini. Performance reviews of GPT-5 are mixed, with claims of near-zero hallucinations by OpenAI staff but user reports of confidence in hallucinations and steering difficulties. Benchmarks show GPT-5 mini performing well on document understanding, while the full GPT-5 is seen as expensive and middling. On the Chatbot Arena, Gemini 2.5 Pro holds a 67% winrate against GPT-5 Thinking. Prompting and model behavior remain key discussion points.
not much happened today
gpt-5 gpt-4o grok-4 claude-4-sonnet openai microsoft reasoning latency model-routing benchmarking reinforcement-learning hallucination-control creative-writing priority-processing api-traffic model-deprecation user-experience model-selection voice-mode documentation sama nickaturley elaineyale6 scaling01 mustafasuleyman kevinweil omarsar0 jeremyphoward juberti epochairesearch lechmazur gdb
OpenAI launched GPT-5 with a unified user experience removing manual model selection, causing initial routing and access issues for Plus users that are being addressed with fixes including restored model options and increased usage limits. GPT-5 introduces "Priority Processing" for lower latency at higher price tiers, achieving ~750ms median time-to-first-token in some cases. Microsoft reports full Copilot adoption of GPT-5, and API traffic doubled within 24 hours, peaking at 2 billion tokens per minute. Early benchmarks show GPT-5 leading in reasoning tasks like FrontierMath and LiveBench, with improvements in hallucination control and creative writing, though some models like Grok-4 and Claude-4 Sonnet Thinking outperform it in specific RL-heavy reasoning benchmarks. OpenAI also released extensive migration and feature guides but faced some rollout issues including a broken code sample and a problematic Voice Mode launch. "Unified GPT-5" ends model pickers, pushing developers away from manual model selection.
not much happened today
gpt-4.5 gpt-4 gpt-4o o1 claude-3.5-sonnet claude-3.7 claude-3-opus deepseek-v3 grok-3 openai anthropic perplexity-ai deepseek scaling01 model-performance humor emotional-intelligence model-comparison pricing context-windows model-size user-experience andrej-karpathy jeremyphoward abacaj stevenheidel yuchenj_uw aravsrinivas dylan522p random_walker
GPT-4.5 sparked mixed reactions on Twitter, with @karpathy noting users preferred GPT-4 in a poll despite his personal favor for GPT-4.5's creativity and humor. Critics like @abacaj highlighted GPT-4.5's slowness and questioned its practical value and pricing compared to other models. Performance-wise, GPT-4.5 ranks above GPT-4o but below o1 and Claude 3.5 Sonnet, with Claude 3.7 outperforming it on many tasks yet GPT-4.5 praised for its humor and "vibes." Speculation about GPT-4.5's size suggests around 5 trillion parameters. Discussions also touched on pricing disparities, with Perplexity Deep Research at $20/month versus ChatGPT at $200/month. The emotional intelligence and humor of models like Claude 3.7 were also noted.
12/21/2023: The State of AI (according to LangChain)
mixtral gpt-4 chatgpt bard dall-e langchain openai perplexity-ai microsoft poe model-consistency model-behavior response-quality chatgpt-usage-limitations error-handling user-experience model-comparison hallucination-detection prompt-engineering creative-ai
LangChain launched their first report based on LangSmith stats revealing top charts for mindshare. On OpenAI's Discord, users raised issues about the Mixtral model, noting inconsistencies and comparing it to Poe's Mixtral. There were reports of declining output quality and unpredictable behavior in GPT-4 and ChatGPT, with discussions on differences between Playground GPT-4 and ChatGPT GPT-4. Users also reported anomalous behavior in Bing and Bard AI models, including hallucinations and strange assertions. Various user concerns included message limits on GPT-4, response completion errors, chat lags, voice setting inaccessibility, password reset failures, 2FA issues, and subscription restrictions. Techniques for guiding GPT-4 outputs and creative uses with DALL-E were also discussed. Users highlighted financial constraints affecting subscriptions and queries about earning with ChatGPT and token costs.
12/18/2023: Gaslighting Mistral for fun and profit
gpt-4-turbo gpt-3.5-turbo claude-2.1 claude-instant-1 gemini-pro gpt-4.5 dalle-3 openai anthropic google-deepmind prompt-engineering api model-performance ethics role-play user-experience ai-impact-on-jobs ai-translation technical-issues sam-altman
OpenAI Discord discussions reveal comparisons among language models including GPT-4 Turbo, GPT-3.5 Turbo, Claude 2.1, Claude Instant 1, and Gemini Pro, with GPT-4 Turbo noted for user-centric explanations. Rumors about GPT-4.5 remain unconfirmed, with skepticism prevailing until official announcements. Users discuss technical challenges like slow responses and API issues, and explore role-play prompt techniques to enhance model performance. Ethical concerns about AI's impact on academia and employment are debated. Future features for Dalle 3 and a proposed new GPT model are speculated upon, while a school project seeks help using the OpenAI API. The community also touches on AI glasses and job market implications of AI adoption.