o1-mini Deprecated

I have Raycast Advanced AI, and it's wonderful, but I'm wondering about the limits. I'm clear that for the models I'm going to use, these are the limits:

• 75 requests per 3 hours

• 150 requests per 24 hours

Exception:

• o1, Claude 3 Opus, Claude 4 Opus: 50 requests per week per model

• o1-mini (deprecated): 50 requests per 24 hours

But my question is, if I reach the 75 requests per 3 hours on one model (for example, GPT 4.1), can I use another model, for example, Claude 3.7 Sonnet, and does it have another 75 requests per 3 hours?

And if I exceed all the limits, can I use a pro model that has higher limits?

# [A Daily Chronicle of AI Innovations on May 02nd 2025](https://podcasts.apple.com/ca/podcast/ai-daily-news-rundown-april-29-2025-openai-adds-shopping/id1684415169?i=1000705480518)

Listen at [https://podcasts.apple.com/ca/podcast/ai-daily-news-may-02-2025-google-integrates-new-ai/id1684415169?i=1000705899721](https://podcasts.apple.com/ca/podcast/ai-daily-news-may-02-2025-google-integrates-new-ai/id1684415169?i=1000705899721)

# 🔎 [Google Integrates New 'AI Mode' Directly Into Search](https://blog.google/products/search/ai-mode-updates-may-2025/)

Google is expanding access to its experimental "AI Mode" feature within Google Search. Initially available via opt-in through Search Labs, the waitlist has now been removed for US users, and Google is beginning to roll it out as a dedicated tab for a small percentage of US users. AI Mode provides a conversational, Gemini-powered interface directly within Search, allowing users to ask complex, multi-part questions and receive synthesized, AI-generated responses with integrated web links and citations. Recent updates enhance this mode with visual cards for products and places (showing real-time details like prices, reviews, and hours) and a history panel on desktop to revisit past explorations.

**Summary:**

* Google is gradually introducing its AI Mode search capability to a limited number of users in the United States, placing it under a dedicated tab in Search.
* This chatbot function differs from typical results by offering direct AI-generated responses derived from information located within Google’s extensive online index, unlike existing AI Overviews.
* Updates to the artificial intelligence tool incorporate saved chat history for convenient revisiting of topics and visual cards presenting key details for places and purchasable items.

**What this means:** This move signifies a deeper integration of generative AI into Google's core search experience, offering users a distinct, more interactive way to explore complex topics compared to traditional search results or the existing AI Overviews. It represents a significant step towards blending conversational AI with information retrieval. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# 🤔 [Study Questions Validity of Leading AI Benchmark LMArena](https://www.therundown.ai/p/ai-benchmarking-under-fire)

https://preview.redd.it/n7mz1vfougye1.png?width=1292&format=png&auto=webp&s=2a10c0aab66a5c202b66285d983157aea989849e

A study by researchers from institutions including Cohere Labs, MIT, and Stanford has raised concerns about the fairness and validity of LMArena (Chatbot Arena), a widely followed benchmark ranking AI models based on crowdsourced human preferences. The researchers allege potential systemic biases favoring large tech companies, possible overfitting to the platform's specific tasks, and a lack of transparency, potentially distorting the leaderboard's reflection of true model capabilities. LMArena administrators have disputed the findings.

**Summary:**

* The study claims providers like Meta, Google, and OpenAI privately test multiple model variants on the Arena to publish the best performers.
* It also found that models from top labs were favored over small/open models in sampling, with Google and OpenAI receiving over 60% of all interactions.
* Experiments showed that access to Arena data boosts performance on Arena-specific tasks, suggesting model overfitting rather than actual capability gains.
* The researchers also noted that 205 models have been silently removed on the platform, with open-source models deprecated at a higher rate.

**What this means:** This study adds fuel to the ongoing debate surrounding AI benchmarks, highlighting challenges in creating truly objective, transparent, and fair methods for evaluating and comparing the rapidly evolving capabilities of different AI models. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# 💡 [Microsoft Releases New Small Models Focused on Reasoning](https://siliconangle.com/2025/05/01/microsoft-releases-small-mighty-phi-4-reasoning-models-outperform-larger-models/)

https://preview.redd.it/fsbth86qugye1.png?width=1292&format=png&auto=webp&s=91e08bd38828d06e8dda9444fb26fecc11266334

Microsoft has launched new small language models (SLMs) within its Phi family, specifically Phi-4-reasoning (14B parameters) and Phi-4-mini-reasoning (3.8B). These models are engineered to deliver strong reasoning performance, reportedly rivaling larger models on complex math and science benchmarks, despite their compact size. This makes advanced reasoning capabilities potentially accessible on devices with limited resources, such as smartphones or edge devices.

**Summary:**

* The flagship Phi-4-reasoning has just 14B parameters but outperforms OpenAI's o1-mini and matches DeepSeek's 671B model on key benchmarks.
* A smaller 3.8B parameter version called Phi-4-mini-reasoning can run on mobile devices while matching larger 7B models on math benchmarks.
* Designed for efficiency, the models aim to bring strong reasoning capabilities to constrained environments (like edge devices and Copilot+ PCs).
* All three models are open-source with permissive licenses, allowing unrestricted commercial use and modification by developers.

**What this means:** The development of powerful yet efficient SLMs like the Phi-4 reasoning series marks significant progress in AI optimization, potentially enabling sophisticated reasoning tasks on a wider range of devices and applications where larger models are impractical. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# 🌐 [Guide: Create Websites Using ChatGPT and its Canvas Feature](https://aitoolsclub.com/this-is-how-to-build-your-own-html-website-using-chatgpt-full-step-by-step-guide/)

https://preview.redd.it/9can9qurugye1.png?width=1292&format=png&auto=webp&s=fb9574ac0888136040f223847b3b5b65f2219a64

Users can create websites by leveraging ChatGPT's capabilities (potentially using advanced models like o1) combined with its integrated "Canvas" feature. Canvas provides an interactive workspace within ChatGPT for generating, editing, and refining code. It supports rendering HTML and React, allowing users to visualize website elements and iterate on the design directly within the AI chat environment, potentially simplifying web development workflows.

**Step-by-step:**

1. Head over to [ChatGPT](https://link.mail.beehiiv.com/ss/c/u001.a3gBHu6_kDRL6l3yEfNWAbnaMZOqp-GBRwbqbGW3oBNw4lrGSUEpTtOm12XLZPTnVCVxiAAxKkaL4lBwDcyV5yPfVVHSSfj7eLGHfMpyy-ucaIc2xzUHirjpBbM_idcKV3dnDOtUvAbevoae1XVbPEHWoAFfkh_wwRx3iG3h85n4lv_XoaVSk2KfIpQrISl5l3KCxRnBIqfEou5heusTwLb0nHnDZplGZ-TKYo8NS3o/4g5/kcbkFigGQC-_n8vF-jqZwg/h15/h001.0u-zpYOGB49l-LqaScVrNim7FFsJHZrlAqbihRS-v7M), select the “o3” model, and activate the ‘Canvas’ option.
2. Prepare a detailed prompt describing your desired HTML web application, including purpose, features, design preferences, and functionality requirements.
3. Test your application using the "Preview" button and request any necessary modifications.
4. Save the code as an HTML file and deploy using Cloudflare by navigating to Workers & Pages, selecting "Create using direct upload," and uploading the file.

**What this means:** Integrated AI tools like ChatGPT Canvas are making technical tasks like website creation more accessible, enabling users to generate, modify, and even preview code within a single conversational interface, streamlining development particularly for simpler projects or prototypes. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# 🧑‍🏫 [Amazon Releases Nova Premier, Its Top Multimodal AI Model](https://www.indiatoday.in/technology/news/story/amazon-unveils-its-most-powerful-ai-model-all-you-need-to-know-about-nova-premier-in-5-points-2717859-2025-05-01)

Amazon has launched Nova Premier, positioned as the most capable model in its Nova foundation model family, now available via Amazon Bedrock. This multimodal model processes long contexts (1 million tokens) of text, images, and video inputs (though not audio) and excels at knowledge retrieval and visual understanding tasks. Amazon also highlights its role as a "teacher model" for distillation, using its capabilities to train smaller, specialized Nova models efficiently for enterprise use cases.

* The multimodal model can process text, images, and videos with a 1M-token context window, allowing it to analyze about 750,000 words at once.
* Internal testing shows Premier lagging behind top competitors like Gemini 2.5 Pro on math, science, and coding benchmarks.
* Nova Premier excels at orchestrating multi-agent workflows, showing strength in financial analysis and investment research applications in testing.
* Using Amazon's Bedrock Model Distillation, Premier can transfer capabilities to smaller models like Nova Pro and Micro and boost performance by up to 20%.

**What this means:** Nova Premier represents Amazon's high-end AI offering for complex multimodal tasks, competing with top models from Google and OpenAI. Its emphasis on model distillation also showcases a key industry trend: using large, powerful models to create smaller, cost-effective, and task-specific AI solutions. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# 🇺🇸 [Nvidia CEO Highlights China's AI Talent Pool, Urges US Reskilling](https://finance.yahoo.com/news/nvidia-ceo-jensen-huang-sounds-035916833.html)

Speaking at the Hill & Valley Forum in Washington D.C., Nvidia CEO Jensen Huang sounded an alarm regarding the global AI talent landscape, noting that approximately 50% of the world's AI researchers are Chinese. He urged American policymakers to consider this a key factor in the ongoing technological competition, which he described as an "infinite game." Huang stressed that for the U.S. to lead, it must fully embrace AI technology and make significant investments in reskilling its workforce, enabling workers across various sectors (including skilled trades for infrastructure) to participate in the AI revolution.

**What this means:** Huang's remarks emphasize the critical role of talent and workforce adaptation in the global AI race. His call for widespread reskilling highlights the need for national strategies that go beyond research and development to include broad workforce readiness for an AI-driven economy. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# 🏫 [Texas School Uses AI for Core Lessons; Students Report Positive Experience](https://www.foxnews.com/us/ai-running-classroom-texas-school-students-say-its-awesome)

Alpha School, a private school network in Texas, is employing AI tutors and adaptive learning software to deliver personalized instruction in core academic subjects like math and English, reportedly covering the material in about two hours daily. According to a Fox News report, students have reacted positively to this model, which allows human staff to act as "guides" and lead afternoon workshops on other skills. The school claims this AI-driven approach leads to accelerated learning and high test scores.

**What this means:** This school serves as a case study for integrating AI deeply into K-8 education, potentially redefining teacher roles towards facilitation and mentorship while using AI for personalized core subject delivery, though long-term impacts and scalability remain open questions. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# ⚖️ [Conservative Activist Sues Meta Over Alleged AI Defamation](https://apnews.com/article/robby-starbuck-meta-ai-delaware-eb587d274fdc18681c51108ade54b095)

Robby Starbuck, a conservative activist, has filed a defamation lawsuit against Meta Platforms, alleging the company's AI chatbot generated and disseminated false information about him. The suit claims Meta AI falsely stated he participated in the January 6th Capitol riot and had a criminal record, among other allegations. Starbuck is seeking over $5 million in damages and alleges Meta failed to adequately correct the AI's false outputs after being notified.

**What this means:** This lawsuit highlights the growing legal and ethical challenges surrounding AI-generated misinformation ("hallucinations"), particularly regarding defamation liability for the companies deploying these large language models. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# ☁️ [Microsoft Reportedly Preparing to Host xAI's Grok on Azure](https://www.reuters.com/business/microsoft-preparing-host-musks-grok-ai-model-verge-reports-2025-05-01/)

Microsoft is preparing its Azure cloud infrastructure to host Grok, the AI model developed by Elon Musk's xAI startup, according to reports from The Verge and Reuters citing sources familiar with the plans. This would add Grok to the roster of AI models available to developers and enterprise customers through the Azure AI Foundry platform, alongside models from OpenAI, Meta, Mistral AI, and others. The scope appears focused on hosting inference capabilities rather than training.

**What this means:** By potentially adding Grok, Microsoft continues to position Azure as a comprehensive platform supporting diverse AI models, catering to customer choice and reducing reliance solely on its deep partnership with OpenAI. \[[Listen](https://podcasts.apple.com/ca/podcast/ai-unraveled-latest-ai-news-trends-chatgpt-gemini-gen/id1684415169)\] \[[2025/05/02](https://djamgatech.web.app/)\]

# Business Developments:

* Microsoft CEO Satya Nadella revealed that AI now writes a "significant portion" of the company's code, aligning with Google's similar advancements in automated programming. (TechRadar, TheRegister, TechRepublic)
* Microsoft's EVP and CFO, Amy Hood, warned during an earnings call that AI service disruptions may occur this quarter due to high demand exceeding data center capacity. (TechCrunch, GeekWire, TheGuardian)
* AI is poised to disrupt the job market for new graduates, according to recent reports. (Futurism, TechRepublic)
* Google has begun introducing ads in third-party AI chatbot conversations. (TechCrunch, ArsTechnica)
* Amazon's Q1 earnings will focus on cloud growth and AI demand. (GeekWire, Quartz)
* Amazon and NVIDIA are committed to AI data center expansion despite tariff concerns. (TechRepublic, WSJ)
* Businesses are being advised to leverage AI agents through specialization and trust, as AI transforms workplaces and becomes "the new normal" by 2025. (TechRadar)

# Product Launches:

* Meta has launched a standalone AI app using Llama 4, integrating voice technology with Facebook and Instagram's social personalization for a more personalized digital assistant experience. (TechRepublic, Analytics Vidhya)
* Duolingo's latest update introduces 148 new beginner-level courses, leveraging AI to enhance language learning and expand its educational offerings significantly. (ZDNet, Futurism)
* Gemini 2.5 Flash Preview is now available in the Gemini app. (ArsTechnica, AnalyticsIndia)
* Google has expanded access and features for its AI Mode. (TechCrunch, Engadget)
* OpenAI halted its GPT-4o update over issues with excessive agreeability. (ZDNet, TheRegister)
* Meta's Llama API is reportedly running 18x faster than OpenAI with its new Cerebras Partnership. (VentureBeat, TechRepublic)
* Airbnb has quietly launched an AI customer service bot in the United States. (TechCrunch)
* Visa unveiled AI-driven credit cards for automated shopping. (ZDNet)

# Funding News:

* Cast AI, a cloud optimization firm with Lithuanian roots, raised $108 million in Series funding, boosting its valuation to $850 million and approaching unicorn status. (TechFundingNews)
* Astronomer raises $93 million in Series D funding to enhance AI infrastructure by streamlining data orchestration, enabling enterprises to efficiently manage complex workflows and scale AI initiatives. (VentureBeat)
* Edgerunner AI secured $12M to enable offline military AI use. (GeekWire)
* AMPLY secured $1.75M to revolutionize cancer and superbug treatments. (TechFundingNews)
* Hilo secured $42M to advance ML blood pressure management. (TechFundingNews)
* [Solda.AI](http://Solda.AI) secured €4M to revolutionize telesales with an AI voice agent. (TechFundingNews)
* Microsoft invested $5M in Washington AI projects focused on sustainability, health, and education. (GeekWire)

# Research & Policy Insights:

* A study accuses LM Arena of helping top AI labs game its benchmark. (TechCrunch, ArsTechnica)
* Economists report generative AI hasn't significantly impacted jobs or wages. (TheRegister, Futurism)
* Nvidia challenged Anthropic's support for U.S. chip export controls. (TechCrunch, AnalyticsIndia)
* OpenAI reversed ChatGPT's "sycophancy" issue after user complaints. (VentureBeat, ArsTechnica)
* Bloomberg research reveals potential hidden dangers in RAG systems. (VentureBeat, ZDNet)

# What Else Happened in AI on May 02nd 2025?

**Anthropic** [released](https://link.mail.beehiiv.com/ss/c/u001.dSnm3kaGd0BkNqLYPjeMf937MUSrYzK6JzB2n81ON3wpYhNjDpqEw_BPABs8NJy54sM05yr49hoaIN09XMavJbOxLk8N6q8TR2nwXlaoAy5rw9-13ocZzOXxZsfCVFTYFi8UrvargxXI7Z8qyrhXVSiNdgR3sL0Jc5AOlr4z2ohZHMyoolIVO79hb0cHHpPKySwVJlDgKDZmE3jabyoGhW8ci2fOr9-osqMpVwC44Gn6s8rt0BeDyisYEPK1vndX/4g5/kcbkFigGQC-_n8vF-jqZwg/h32/h001.VrGygE_kt0lztrgtpwK2IMXTEuDA4jl5XDlqWhtvFSI) Integrations, allowing Claude to connect with remote MCPs to integrate additional tools — alongside new research capabilities like web support.

**NVIDIA** [criticized](https://link.mail.beehiiv.com/ss/c/u001.dSnm3kaGd0BkNqLYPjeMfyzbPJdh2qAj8kGiBAmrmvaGmDP_UmCAb7g3CFh5ddRjIn6swTl4NLMBsY-eeJOmF-0OXQawjdV_gnmfSUxsgN4gkSf_vZLt3vic_rVqX00ZFJwfS0rVefeb2GGMneivYe6Gep5OAwdxdClnRoMEvpPBRDcpghDLcwA6n4FrQf1WU1S-1RM4xuRXquwk3TnDb8-g2-p7ywhzfD5nIwpMzq5T1sAcRVsT7Y2zrQyqjhoHpeNLvdQCEtVm_druNHM6UsHaV_x_wFpkGw2HYnGCepo1hdkdhVx0Zziha5EpLsCWNtagb6lyDPcgy8M-tadt9A/4g5/kcbkFigGQC-_n8vF-jqZwg/h33/h001.WjT8Fbx9Bl1yVAfnQhR4Q3LwblUii0ZF9NF4VZpe0yo) Anthropic’s AI chip export policy [recommendations](https://link.mail.beehiiv.com/ss/c/u001.dSnm3kaGd0BkNqLYPjeMf937MUSrYzK6JzB2n81ON3z2Or0gz7fFYYcrWL0lQ5E-695kDzFQZCcVp_f1MSfkRRR91eqbXUoqK6I_pq7IyyAMmyn_z2DLP1oaITCmwmB6mrZ1leo6bgHZd-n-iAXAA2QJzCMk8hEQx0YSreGgcI2fiV6g9WI_wrdVaiM7KcRYI2vOi6IOnF-eYeXEOZIWiNHSCO3fFEuqs_CoZ9X9fgVxz2oLp70C68xnJNMJvs6jh94IPQ3sH-pZnsMn6SUJqX5nrOLzcG7fKkwtbagrClgodRjvW5Bvf5OB9R2Gyle7xyUSyzKBfxaxUJvBuifQ4n3xaiGYoE3k4MFNdYwDdxg/4g5/kcbkFigGQC-_n8vF-jqZwg/h34/h001.YqYCu9fgPV-NgkXDQzx6Q3ZxtbS3Uj0c8lj-aLq1IrM), arguing that U.S. firms should focus on innovation instead of limiting competitiveness with policy.

**Google** [expanded](https://link.mail.beehiiv.com/ss/c/u001.6k0_SAz8nrOuu_-LoNX1Haatt1yNuB594rGQM3jzFRK7jekQ_OO4GroMhPZ9XPk4Zs3437CEB9EdWKCwN_iswqcsphgW6SPVYYcdEkQG9bChwcYryMZ3cEUrPJ23NG25W01dVjN6CMAL8O7LuBH5WYhPEeLjnZvuIF6xbpKkUqP-SW3cERuAUn5Xd0uU-QlCO5ntKSYTCw99ICehuSQ5V3fqAX_I5oNa0iJPHjVyOe7TWMpk0_0sbtUFxlHuzb_zuwX9CU2136M9U1LpWLSNCw/4g5/kcbkFigGQC-_n8vF-jqZwg/h35/h001.tpfyqycTsoIKN76yJGH61hshFrqcVMvGH_ppMmVS14M) its AI Mode in Search to all Labs users in the U.S., also introducing new visual shopping and local planning features.

**Suno** [introduced](https://link.mail.beehiiv.com/ss/c/u001.6k0_SAz8nrOuu_-LoNX1HWjbYQfw_ik1ypQ4ub4AzrOqMfKRhT4nXD_2NrVUNg6anFHtKjt_8aKDlRz1FW5Tx628pIXc9Ex60Q9FL0nnlBc0tF1GxpCuDH7j6pRdVFMSug9jBVvdqnUhWoqC0ufBlzXrheCBs-b_35GArXrVsscLNDBkKb2f-Fr8yNakrCsNXT-CqgiWdp_l54tKN9G0eOVgMN_pQ-izKovNaWW-m8h6AH1AcoeOs0Dl0PZ9ykt4TDWDhuyn3gLtyl6UT084-A/4g5/kcbkFigGQC-_n8vF-jqZwg/h36/h001.qseNDR8fQB111xsDhdS5avHbHNYjefw3D5UY7iPlhKY) v4.5 of its AI music generation platform, adding new genres, better prompting and adherence, the ability to create songs up to 8 minutes long, and more.

**Microsoft** is reportedly [adding](https://link.mail.beehiiv.com/ss/c/u001.dSnm3kaGd0BkNqLYPjeMf0JUH4oQtuGu0vxFsdak8G-73MpoNaV5efZjG6M8xRhgK-hAynfoguRA2wRsPQG_hAYv-BC5LWIhthOduPnrk_-vmCr_lhAqfCONEkbRc2dDzgE2Fbpov5HOJf-5MGan6ZPandE0UR5jfbi9KAYzi5mCz23lh2zW-AhTD-OWKe08YsllU_Fi8lVFd2pRufEduOcWJ4ed0CI29AilZaCL3hcijlcyVXnRAu-7S00Z7fpgfQE2u-J6P8jtLN2fRgB5RY92WbspKI9bOSEp9Fq-xCGn1UjTG9YH6wKmRTrtjQnRtQF4c47rv05DCwY1S3fr1D-wacWLK-vx2lFFQJ5D92Y/4g5/kcbkFigGQC-_n8vF-jqZwg/h37/h001.-F4KBRGm4uJ0bx0SyClmm_1h4LMfNuZy9fXw1P6ldYk) xAI’s Grok model to its Azure development platform, coming amid rumored [tensions](https://link.mail.beehiiv.com/ss/c/u001.dSnm3kaGd0BkNqLYPjeMf08MjguofPcw5b1fa54PbEao6RrzRLOmwehb45NTjlf-7WzB3TjSPC7zL0U-IyKbl4oEeCHlL0LG61cIT1DFECmSL4XzW-IBc1MKTLot_OZ2orz7UPqf5rF8Ne0ANtLjQ9ft-aLfjIS1iE7esYEnl6VGypMLtHozD40raGjl-g-EyppibhoOKGjprIUdLOuyUjn4r7K1lPw1wqjqErN6OTPw_wElpn163MvvQOQPSJe9AOvuVjG1bB_tD_JMwNt1HLL4RGeHHRINS4RIwD_SLqs/4g5/kcbkFigGQC-_n8vF-jqZwg/h38/h001.KW-MD9R5xxOCRnW5cVP05ET1vBewKsn8JJ29vBpLZtU) between CEO Satya Nadella and OpenAI’s Sam Altman.

**Google** [launched](https://link.mail.beehiiv.com/ss/c/u001.u02qJFHqR61XIkDbYtOHoMeM8p3mjbSv2fQjmBvH48lPpXI-aE2Yrqf-0AU_viXdbhwJYPus7kj0sc2aBsj1UbwFbhpoY5HlRyq10LfW4Kq1w0Or4-nM5E1UBteLBCywAJoF4xqg4M6RYpjxCu4Rn8LcWfBSGOPGvgAPHDA_njejvz_dUEdsqK4f1sd1RyuIQkCMnF8kZErNLkC6N9smkss67lTYiJdfogpONamgIQuFhzpmLRAYTAHsd4MVREiUFvt8bBXM8dIiE4m5ysSSpZA0HHMylXPK9rzQKVorOLg/4g5/kcbkFigGQC-_n8vF-jqZwg/h39/h001.rtai24UPWxHTeipAv41p2-__Kl2gcu5T6qH168cfZJ4) Little Language Lessons, three new AI-powered experiments that use Gemini’s multilingual capabilities for personalized learning experiences.

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So I've been developing an android app with the help of the LMM's that I have access to. I thought I'd share my experience and see if anyone has any tips or ideas.

I've been using o1, o1 mini, Gemini 1206 and Gemini 2.0 Flash. My workflow has sadly been to copy all the relevant classes into a new season and going from there.

It has overall worked pretty well. I work as a C# backend dev and I'm fairly clueless about the Android specific parts. I've also taken a very laid back and lazy approach (sometimes while drinking beer to really test the LMMs :P ) and let the LMMs do most of the thinking.

Generally, I've found that the only model that can keep things together and properly keep track of multiple moving parts is o1. F.e., I've had plenty of bugs in navigation between my views and with file permissions. The only model that consistently finds three and squishes these across multiple files without introducing new issues is o1. Gemini and o1-mini work decently for confined problems inside a smaller scope.

Also, lots of times the models will try to use deprecated stuff that obviously isn't in the code, probably because of it being prevalent in their training data.

Another thing I've found is that the lesser models generally don't impress when it comes to following instructions. They'll gladly wander away in a direction that I told them not to just a few messages ago. What seems to help us to get obviously annoyed. Reminds me of interacting with my kids when I want them to do stuff and it makes me a little sad....

What are your experiences with using LMM's for coding? Workflow tips? Any other advice?