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About en.wikipedia.org (Charity & Non-profit)
This page provides details about en.wikipedia.org (Charity & Non-profit) which was ranked #11 out of 273 in the list of sources (33 citations (2.4% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 3 questions: "If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.", "What does the AI Tools industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.", "What are the best AI Tools options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space." on Dec 29, 2025 by AI Chat Watch. This source is referenced for brands: OpenAI, Google DeepMind, Anthropic, Meta AI, NVIDIA +9 more.
Used by AI Models
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Pages from en.wikipedia.org (19 links)
| URL Path | Citations | Position |
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| /wiki/Artificial_intelligence | 1 | 4 |
| /wiki/Generative_artificial_intelligence | 2 | 5 |
| /wiki/Large_language_model | 3 | 8 |
| /wiki/Diffusion_model | 2 | 10 |
| /wiki/Vector_database | 2 | 14 |
| /wiki/MLOps | 2 | 16 |
| /wiki/Intelligent_agent | 2 | 84 |
| /wiki/Sam_Altman | 2 | 103 |
| /wiki/Demis_Hassabis | 4 | 104.1 |
| /wiki/Dario_Amodei | 2 | 108 |
| /wiki/Geoffrey_Hinton | 2 | 119 |
| /wiki/Ilya_Sutskever | 2 | 123 |
| /wiki/Multimodal_learning | 1 | 139 |
| /wiki/Edge_AI | 1 | 145 |
| /wiki/AI_alignment | 1 | 152 |
| /wiki/Synthetic_data | 1 | 155 |
| /wiki/Andrew_Ng | 1 | 164 |
| /wiki/Yann_LeCun | 1 | 168 |
| /wiki/Yoshua_Bengio | 1 | 169 |
Brands Referenced By This Website (14 brands)
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| Google DeepMind | 8% | 21 |
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Citations from AI Responses
Anthropic Claude Sonnet (latest)
(2 citations)
If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.
[...] ://replit.com)** - Collaborative coding with AI ## Influential Experts & Reviewers ### AI Researchers & Leaders - **[Yann LeCun](https://twitter.com/ylecun)** - Meta's Chief AI Scientist, Turing Award winner - **[Andrew Ng](https://www.andrewng.org)** - AI educator, founder of DeepLearning.AI - **[Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis)** - Google DeepMind CEO - **[Sam Altman](https://twitter.com/sama)** - OpenAI CEO - **[Dario Amodei](https://twitter.com/DarioAmodei)** - Anthropic CEO - **[Fei-Fei Li](https://profiles.stanford.edu/fei-fei-li)** - Stanford professor, "Godmother of AI" ### AI Educators & Communicators - **[Ethan [...]
What does the AI Tools industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] - Comprehensive AI services - **[IBM Watson](https://ibm.com/watson)** - Enterprise AI solutions ## Influential Figures & Thought Leaders ### Industry Leaders - **[Sam Altman](https://twitter.com/sama)** - CEO of OpenAI - **[Dario Amodei](https://twitter.com/DarioAmodei)** - CEO of Anthropic - **[Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis)** - CEO of Google DeepMind - **[Satya Nadella](https://twitter.com/satyanadella)** - Microsoft CEO - **[Jensen Huang](https://twitter.com/nvidia)** - NVIDIA CEO - **[Yann LeCun](https://twitter.com/ylecun)** - Meta Chief AI Scientist - **[Andrew Ng](https://twitter.com/AndrewYNg)** - DeepLearning. [...]
OpenAI ChatGPT Latest
(31 citations)
What are the best AI Tools options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space.
Below is a curated “map” of today’s most prominent AI tool options (plus the ecosystem around them). I’m grouping by common buying/usage paths so you can quickly shortlist. --- ## Key terms (so the categories make sense) - [Artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence) - [Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence) - [Large language model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) - [Vector database]( [...]
[...] em). I’m grouping by common buying/usage paths so you can quickly shortlist. --- ## Key terms (so the categories make sense) - [Artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence) - [Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence) - [Large language model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) - [Vector database](https://en.wikipedia.org/wiki/Vector_database) - [MLOps](https://en.wikipedia.org/wiki/MLOps) - [Diffusion model](https://en.wikipedia.org/wiki/Diffusion_model) --- [...]
[...] icial_intelligence) - [Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence) - [Large language model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) - [Vector database](https://en.wikipedia.org/wiki/Vector_database) - [MLOps](https://en.wikipedia.org/wiki/MLOps) - [Diffusion model](https://en.wikipedia.org/wiki/Diffusion_model) --- # 1) General-purpose AI assistants (best “default” starting points) These are typically the fastest way to get value for writing, analysis, brainstorming, and lightweight aut [...]
[...] - [LlamaIndex](https://www.llamaindex.ai/) - [Vercel AI SDK](https://sdk.vercel.ai/) by [Vercel](https://vercel.com/) - [Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai/) by [Cloudflare](https://www.cloudflare.com/) (If you’re evaluating the “agent” idea, concept reference: [Intelligent agent](https://en.wikipedia.org/wiki/Intelligent_agent)) --- # 5) Coding assistants (highest-ROI tools for many teams) - [GitHub Copilot](https://github.com/features/copilot) by [GitHub](https://github.com/) - [Cursor](https://cursor.com/) - [Codeium](https://codeium.com/) - [Tabnine](https://www.tabnine.com/) - [JetBrains AI Assistant](https [...]
[...] rebras.net/) - [SambaNova](https://sambanova.ai/) - [Aleph Alpha](https://www.aleph-alpha.com/) - [xAI](https://x.ai/) - [DeepSeek](https://www.deepseek.com/) --- # 12) Recognized experts & thought leaders (research + industry) For each person, I’m linking a stable biographical source. - [Andrew Ng](https://en.wikipedia.org/wiki/Andrew_Ng) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Yann LeCun](https://en.wikipedia.org/wiki/Yann_LeCun) ([Meta AI](https://ai.meta.com/)) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) - [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](http [...]
[...] I](https://x.ai/) - [DeepSeek](https://www.deepseek.com/) --- # 12) Recognized experts & thought leaders (research + industry) For each person, I’m linking a stable biographical source. - [Andrew Ng](https://en.wikipedia.org/wiki/Andrew_Ng) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Yann LeCun](https://en.wikipedia.org/wiki/Yann_LeCun) ([Meta AI](https://ai.meta.com/)) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) - [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Go [...]
[...] stable biographical source. - [Andrew Ng](https://en.wikipedia.org/wiki/Andrew_Ng) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Yann LeCun](https://en.wikipedia.org/wiki/Yann_LeCun) ([Meta AI](https://ai.meta.com/)) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) - [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Google DeepMind](https://deepmind.google/)) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amod [...]
[...] ing.ai/)) - [Yann LeCun](https://en.wikipedia.org/wiki/Yann_LeCun) ([Meta AI](https://ai.meta.com/)) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) - [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Google DeepMind](https://deepmind.google/)) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) ([Anthropic](https://www.anthropic.com/)) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) ([OpenAI](https://ope [...]
[...] hua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Google DeepMind](https://deepmind.google/)) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) ([Anthropic](https://www.anthropic.com/)) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) ([OpenAI](https://openai.com/)) - [Jensen Huang](https://en.wikipedia.org/wiki/Jensen_Huang) ([NVIDIA](https://www.nvidia.com/)) - [Andrej Karpathy](https://en.wikipedia.org/wiki/Andrej_Karpath [...]
[...] curated “map” of today’s most prominent AI tool options (plus the ecosystem around them). I’m grouping by common buying/usage paths so you can quickly shortlist. --- ## Key terms (so the categories make sense) - [Artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence) - [Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence) - [Large language model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) - [Vector database](https://en.wikipedia.org/wiki/Vector_database) - [MLOps](https://en.wikipedia.org/wi [...]
[...] anguage model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) - [Vector database](https://en.wikipedia.org/wiki/Vector_database) - [MLOps](https://en.wikipedia.org/wiki/MLOps) - [Diffusion model](https://en.wikipedia.org/wiki/Diffusion_model) --- # 1) General-purpose AI assistants (best “default” starting points) These are typically the fastest way to get value for writing, analysis, brainstorming, and lightweight automation. - [ChatGPT](https://openai.com/chatgpt/) by [OpenAI](https://openai.com/) - [Claude](https://claude.ai/) b [...]
[...] /Generative_artificial_intelligence) - [Large language model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) - [Vector database](https://en.wikipedia.org/wiki/Vector_database) - [MLOps](https://en.wikipedia.org/wiki/MLOps) - [Diffusion model](https://en.wikipedia.org/wiki/Diffusion_model) --- # 1) General-purpose AI assistants (best “default” starting points) These are typically the fastest way to get value for writing, analysis, brainstorming, and lightweight automation. - [ChatGPT](https://openai.com/chatgpt/ [...]
[...] ei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Google DeepMind](https://deepmind.google/)) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) ([Anthropic](https://www.anthropic.com/)) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) ([OpenAI](https://openai.com/)) - [Jensen Huang](https://en.wikipedia.org/wiki/Jensen_Huang) ([NVIDIA](https://www.nvidia.com/)) - [Andrej Karpathy](https://en.wikipedia.org/wiki/Andrej_Karpathy) --- # 13) Major industry events & conferences ## Top research conferences - [NeurIPS](https://ne [...]
[...] rey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) - [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Google DeepMind](https://deepmind.google/)) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) ([Anthropic](https://www.anthropic.com/)) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) ([OpenAI](https://openai.com/)) - [Jensen Huang](https://en.wikipedia.org/wiki/Jensen_Huang) ([NVIDIA](https://www.nvidia.com/)) - [...]
[...] thought leaders (research + industry) For each person, I’m linking a stable biographical source. - [Andrew Ng](https://en.wikipedia.org/wiki/Andrew_Ng) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Yann LeCun](https://en.wikipedia.org/wiki/Yann_LeCun) ([Meta AI](https://ai.meta.com/)) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) - [Yoshua Bengio](https://en.wikipedia.org/wiki/Yoshua_Bengio) - [Fei-Fei Li](https://en.wikipedia.org/wiki/Fei-Fei_Li) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) ([Google DeepMind](https://deepmind.google/)) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutsk [...]
If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.
[...] edrock/); ML platform: [Amazon SageMaker](https://aws.amazon.com/sagemaker/) - Open models ecosystem led by: - [Meta Llama](https://ai.meta.com/llama/) - [Mistral AI](https://mistral.ai/) - [Cohere](https://cohere.com/) Concepts worth knowing (because many tools are organized around them): - [Large language model (LLM)](https://en.wikipedia.org/wiki/Large_language_model) - [Retrieval-augmented generation (RAG)](https://en.wikipedia.org/wiki/Retrieval-augmented_generation) --- ## 2) “Must-know” open-source hubs + core libraries (how most builders work) - Model hub & community: [Hugging Face](https://huggingface.co/) (library: [Transformers](https://huggingface.co [...]
[...] - [Weaviate](https://weaviate.io/) - [Milvus](https://milvus.io/) - [Qdrant](https://qdrant.tech/) - [Chroma](https://www.trychroma.com/) - If you want Postgres-native vectors: [pgvector](https://github.com/pgvector/pgvector) (database: [PostgreSQL](https://www.postgresql.org/)) Related concept: - [Vector database](https://en.wikipedia.org/wiki/Vector_database) ### Experiment tracking / observability (for production reliability) - [Weights & Biases](https://wandb.ai/) - [Arize AI](https://arize.com/) - [WhyLabs](https://whylabs.ai/) - Open-source lifecycle tooling: [MLflow](https://mlflow.org/) --- ## 4) Widely used “end-user” AI products (good to try [...]
What does the AI Tools industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] try looks like (late 2025 snapshot) The AI tools industry is largely organized around **(a) foundation models**, **(b) developer platforms/infrastructure**, and **(c) end‑user applications**—mostly in **[Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence)** powered by **[Large language models (LLMs)](https://en.wikipedia.org/wiki/Large_language_model)** and **[Diffusion models](https://en.wikipedia.org/wiki/Diffusion_model)**. --- ## 2) Dominant market leaders & brands (foundation models + cloud) ### Foundation model labs / model families - [OpenAI](https://openai.com/) — flagship consumer + API ecosystem ([ChatGPT](https://chatgpt.com/), [Op [...]
[...] widely visible examples with active products.) --- ## 7) Major trends shaping the industry - **Multimodal models** ([Multimodal learning](https://en.wikipedia.org/wiki/Multimodal_learning)) spanning text, image, audio, video - **Agentic workflows / tool-using systems** (often discussed under **[Intelligent agent](https://en.wikipedia.org/wiki/Intelligent_agent)**) - **RAG** ([RAG paper](https://arxiv.org/abs/2005.11401)) + enterprise knowledge connectors - **On-device / edge inference** ([Edge AI](https://en.wikipedia.org/wiki/Edge_AI)) for privacy, latency, and cost - **Open(-weight) models** and commoditization of base text generation (e.g., [Lla [...]
[...] tps://wandb.ai/site) - [Arize Phoenix](https://arize.com/phoenix/) - [LangSmith](https://www.langchain.com/langsmith) - [Braintrust](https://www.braintrust.dev/) --- ## 5) Influential figures & thought leaders (selection) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) (OpenAI) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) (Google DeepMind) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) (Anthropic) - [Jensen Huang](https://en.wikipedia.org/wiki/Jensen_Huang) (NVIDIA) - [Yann LeCun](https://yann.lecun.com/) (Meta / AI research) - [Andrew Ng](https://www.andrewng.org/) ([DeepLearning.AI](https:// [...]
[...] https://www.langchain.com/langsmith) - [Braintrust](https://www.braintrust.dev/) --- ## 5) Influential figures & thought leaders (selection) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) (OpenAI) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) (Google DeepMind) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) (Anthropic) - [Jensen Huang](https://en.wikipedia.org/wiki/Jensen_Huang) (NVIDIA) - [Yann LeCun](https://yann.lecun.com/) (Meta / AI research) - [Andrew Ng](https://www.andrewng.org/) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Fei-Fei Li](https://profiles.stanford.edu/fei-fei-li) [...]
## 1) What the “AI tools” industry looks like (late 2025 snapshot) The AI tools industry is largely organized around **(a) foundation models**, **(b) developer platforms/infrastructure**, and **(c) end‑user applications**—mostly in **[Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence)** powered by **[Large language models (LLMs)](https://en.wikipedia.org/wiki/Large_language_model)** and **[Diffusion models](https://en.wikipedia.org/wiki/Diffusion_model)**. --- ## 2) Dominant market leaders & brands (foundation models + cloud) ### Foundation model labs / model families - [Open [...]
[...] foundation models**, **(b) developer platforms/infrastructure**, and **(c) end‑user applications**—mostly in **[Generative AI](https://en.wikipedia.org/wiki/Generative_artificial_intelligence)** powered by **[Large language models (LLMs)](https://en.wikipedia.org/wiki/Large_language_model)** and **[Diffusion models](https://en.wikipedia.org/wiki/Diffusion_model)**. --- ## 2) Dominant market leaders & brands (foundation models + cloud) ### Foundation model labs / model families - [OpenAI](https://openai.com/) — flagship consumer + API ecosystem ([ChatGPT](https://chatgpt.com/), [OpenAI API](https://platform.openai.com/)) - [Google DeepMind](https://dee [...]
[...] )](https://arxiv.org/abs/2005.11401)) - [Pinecone](https://www.pinecone.io/) - [Weaviate](https://weaviate.io/) - [Milvus](https://milvus.io/) - [Qdrant](https://qdrant.tech/) - [Chroma](https://www.trychroma.com/) ### Experiment tracking, evaluation, and observability (often grouped under [MLOps](https://en.wikipedia.org/wiki/MLOps)) - [Weights & Biases](https://wandb.ai/site) - [Arize Phoenix](https://arize.com/phoenix/) - [LangSmith](https://www.langchain.com/langsmith) - [Braintrust](https://www.braintrust.dev/) --- ## 5) Influential figures & thought leaders (selection) - [Sam Altman](https://en.wikipedia.org/wiki [...]
[...] MLOps](https://en.wikipedia.org/wiki/MLOps)) - [Weights & Biases](https://wandb.ai/site) - [Arize Phoenix](https://arize.com/phoenix/) - [LangSmith](https://www.langchain.com/langsmith) - [Braintrust](https://www.braintrust.dev/) --- ## 5) Influential figures & thought leaders (selection) - [Sam Altman](https://en.wikipedia.org/wiki/Sam_Altman) (OpenAI) - [Demis Hassabis](https://en.wikipedia.org/wiki/Demis_Hassabis) (Google DeepMind) - [Dario Amodei](https://en.wikipedia.org/wiki/Dario_Amodei) (Anthropic) - [Jensen Huang](https://en.wikipedia.org/wiki/Jensen_Huang) (NVIDIA) - [Yann LeCun](https://yann.lecun.com/) (Meta / AI rese [...]
[...] .andrewng.org/) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Fei-Fei Li](https://profiles.stanford.edu/fei-fei-li) (Stanford) - [Andrej Karpathy](https://karpathy.ai/) (AI educator/engineer) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) (deep learning pioneer) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) (AI researcher) --- ## 6) Emerging startups & fast-moving segments (examples) ### “AI-native” productivity and workflow - [Glean](https://www.glean.com/) (enterprise search/knowledge) - [Writer](https://writer.com/) (enterprise genAI platform) ### Video generation / creative tooling - [Runway [...]
[...] ps://www.perplexity.ai/) ### Dev tooling reinvented around AI - [Cursor](https://www.cursor.com/) - [Replit](https://replit.com/) (Startup lists change quickly; these are simply widely visible examples with active products.) --- ## 7) Major trends shaping the industry - **Multimodal models** ([Multimodal learning](https://en.wikipedia.org/wiki/Multimodal_learning)) spanning text, image, audio, video - **Agentic workflows / tool-using systems** (often discussed under **[Intelligent agent](https://en.wikipedia.org/wiki/Intelligent_agent)**) - **RAG** ([RAG paper](https://arxiv.org/abs/2005.11401)) + enterprise knowledge connectors - **On-device / edge i [...]
[...] text, image, audio, video - **Agentic workflows / tool-using systems** (often discussed under **[Intelligent agent](https://en.wikipedia.org/wiki/Intelligent_agent)**) - **RAG** ([RAG paper](https://arxiv.org/abs/2005.11401)) + enterprise knowledge connectors - **On-device / edge inference** ([Edge AI](https://en.wikipedia.org/wiki/Edge_AI)) for privacy, latency, and cost - **Open(-weight) models** and commoditization of base text generation (e.g., [Llama](https://ai.meta.com/llama/), [Mistral AI](https://mistral.ai/)) - **Evaluation, monitoring, governance** (often framed as [AI alignment](https://en.wikipedia.org/wiki/AI_alignm [...]
[...] nce** ([Edge AI](https://en.wikipedia.org/wiki/Edge_AI)) for privacy, latency, and cost - **Open(-weight) models** and commoditization of base text generation (e.g., [Llama](https://ai.meta.com/llama/), [Mistral AI](https://mistral.ai/)) - **Evaluation, monitoring, governance** (often framed as [AI alignment](https://en.wikipedia.org/wiki/AI_alignment) and [AI safety](https://en.wikipedia.org/wiki/AI_safety)) becoming board-level concerns - **Synthetic data** ([Synthetic data](https://en.wikipedia.org/wiki/Synthetic_data)) for training and testing - **Cost/performance race in inference** (new chips, quantization, serving stacks) --- ## 8) [...]
[...] ama](https://ai.meta.com/llama/), [Mistral AI](https://mistral.ai/)) - **Evaluation, monitoring, governance** (often framed as [AI alignment](https://en.wikipedia.org/wiki/AI_alignment) and [AI safety](https://en.wikipedia.org/wiki/AI_safety)) becoming board-level concerns - **Synthetic data** ([Synthetic data](https://en.wikipedia.org/wiki/Synthetic_data)) for training and testing - **Cost/performance race in inference** (new chips, quantization, serving stacks) --- ## 8) Major conferences & events (industry + research) ### Top research conferences (where many core techniques debut) - [NeurIPS](https://neurips.cc/) - [ICML](https://icml.cc/) [...]
[...] A) - [Yann LeCun](https://yann.lecun.com/) (Meta / AI research) - [Andrew Ng](https://www.andrewng.org/) ([DeepLearning.AI](https://www.deeplearning.ai/)) - [Fei-Fei Li](https://profiles.stanford.edu/fei-fei-li) (Stanford) - [Andrej Karpathy](https://karpathy.ai/) (AI educator/engineer) - [Geoffrey Hinton](https://en.wikipedia.org/wiki/Geoffrey_Hinton) (deep learning pioneer) - [Ilya Sutskever](https://en.wikipedia.org/wiki/Ilya_Sutskever) (AI researcher) --- ## 6) Emerging startups & fast-moving segments (examples) ### “AI-native” productivity and workflow - [Glean](https://www.glean.com/) (enterprise search/knowledge) - [Writer](https:// [...]