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The best AI startup isn't being built in SF right now. Software engineering is the easiest job in the world. NVIDIA won't be the future of AI hardware. Solo founders are doomed to fail. These are just some of the hot takes we got Toronto Tech Week's Cursor event......

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Julia Fedorin

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11,069 次观看 • 2 个月前 •via X (Twitter)

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BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short
45:00

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

Bg2 Pod

35,410 次观看 • 7 个月前

Ex-OpenAI Tech Lead, Justin Lebar joins SemiAnalysis as an Visiting Fellow to Burn $10,000 in 3 hours to find dozens of AMDGPU LLVM, x86 LLVM, NVPTX bugs 00:00 - Intro & Justin’s background 00:59 - How compiler fuzzing works 01:56 - Why we did this project 02:48 - The gap in GPU vs. CPU compiler testing 04:13 - The major AMD & x86 bugs we found 05:38 - Using LLMs to read code & find vulnerabilities 07:56 - The impact of UltraCode mode 12:18 - Doing this without AI (Time & manual limits) 15:03 - The future of AI in software development 16:17 - What’s next + key takeaways for devs
23:19

Ex-OpenAI Tech Lead, Justin Lebar joins SemiAnalysis as an Visiting Fellow to Burn $10,000 in 3 hours to find dozens of AMDGPU LLVM, x86 LLVM, NVPTX bugs 00:00 - Intro & Justin’s background 00:59 - How compiler fuzzing works 01:56 - Why we did this project 02:48 - The gap in GPU vs. CPU compiler testing 04:13 - The major AMD & x86 bugs we found 05:38 - Using LLMs to read code & find vulnerabilities 07:56 - The impact of UltraCode mode 12:18 - Doing this without AI (Time & manual limits) 15:03 - The future of AI in software development 16:17 - What’s next + key takeaways for devs

SemiAnalysis

73,686 次观看 • 2 个月前

Nobel laureate John Jumper (John Jumper) on AlphaFold and the future of science. At AI Startup School in San Francisco. 01:02 - Journey from Physics to Computational Biology 02:01 - Transition to Machine Learning and AI 02:59 - Joining Google DeepMind 03:47 - The Mission: Accelerating Scientific Discovery 04:54 - Understanding Protein Structures 07:44 - Challenges in Protein Structure Determination 11:21 - The Role of Data, Compute, and Research 13:28 - AlphaFold: A Breakthrough in Protein Prediction 14:09 - The Importance of Research and Ideas 17:48 - Real-World Applications and Impact 18:02 - Open Sourcing AlphaFold 21:07 - Unexpected Uses and Innovations 23:15 - Case Study: Molecular Syringe 25:28 - Future of AI in Science
27:12

Nobel laureate John Jumper (John Jumper) on AlphaFold and the future of science. At AI Startup School in San Francisco. 01:02 - Journey from Physics to Computational Biology 02:01 - Transition to Machine Learning and AI 02:59 - Joining Google DeepMind 03:47 - The Mission: Accelerating Scientific Discovery 04:54 - Understanding Protein Structures 07:44 - Challenges in Protein Structure Determination 11:21 - The Role of Data, Compute, and Research 13:28 - AlphaFold: A Breakthrough in Protein Prediction 14:09 - The Importance of Research and Ideas 17:48 - Real-World Applications and Impact 18:02 - Open Sourcing AlphaFold 21:07 - Unexpected Uses and Innovations 23:15 - Case Study: Molecular Syringe 25:28 - Future of AI in Science

Y Combinator

150,350 次观看 • 1 年前

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads
36:41

FULL INTERVIEW: Sam Altman joins TBPN to discuss GPT-5.3-Codex, AI agents, Anthropic's Super Bowl ads, and more. 00:00 GPT-5.3-Codex 02:27 AI agents and the future of work 03:20 The role of forward-deployed engineers in AI 05:42 AI benchmarks 07:29 Emotional attachment to chatbots 10:40 On data and compute being the 'new oil' 12:56 Is software dead? 17:48 Codex Desktop and the rise of the general-purpose work agent 25:00 OpenAI’s last Super Bowl ad and the Anthropic ads

TBPN

639,180 次观看 • 6 个月前

We went to America's top hackathon (TreeHacks) to see if Dagsen could predict the grand prize winner before the judges made up their minds. Was he successful? Find out in our latest video! 00:00 Introducing Treehacks 00:38 AI-powered chemistry 01:06 Remote surgery hardware 01:41 A prediction market for the hackathon 02:30 Dagsen’s strategy 03:10 Rescue robot 03:27 Semi-autonomous diving robot 03:44 AI-powered dancing game 03:49 Packing optimizer powered by AI 04:00 Control a computer with your mind 04:17 Turn any vehicle into a self-driving car 04:57 AR help for Alzheimer’s patients 05:15 Tool to block addictive social media features 05:50 Checking back in with the robot surgery team 06:26 Putting Claude Code agents into AR 06:50 And the winner is…
8:18

We went to America's top hackathon (TreeHacks) to see if Dagsen could predict the grand prize winner before the judges made up their minds. Was he successful? Find out in our latest video! 00:00 Introducing Treehacks 00:38 AI-powered chemistry 01:06 Remote surgery hardware 01:41 A prediction market for the hackathon 02:30 Dagsen’s strategy 03:10 Rescue robot 03:27 Semi-autonomous diving robot 03:44 AI-powered dancing game 03:49 Packing optimizer powered by AI 04:00 Control a computer with your mind 04:17 Turn any vehicle into a self-driving car 04:57 AR help for Alzheimer’s patients 05:15 Tool to block addictive social media features 05:50 Checking back in with the robot surgery team 06:26 Putting Claude Code agents into AR 06:50 And the winner is…

Soon

28,122 次观看 • 5 个月前