最近更新されたチャンネル

選ぶとそのチャンネルだけを表示すべてのチャンネル →

絞り込み結果

115 件
並び順
1:45:21EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月30日ポッドキャスト600,000 Attack Prompts, and Nearly 40% Still Pwned GPT-4ホスト Nathan LabenzSander Schulhoff walks Nathan Labenz through the prompting habits that still work, the role-play myth that does not, and the global HackAPrompt contest that mapped how language models get hijacked.セキュリティと安全性Prompt injectionAI security+3
3:53:04EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月27日ポッドキャストHe Red-Teamed GPT-4 and Got Cut Off. The Control Gap Is Still Openingホスト Nathan LabenzNathan Labenz tells Rob Wiblin how an early look at GPT-4, a thin red-team program, and a year of OpenAI's public safety moves reshaped his view of the AGI race.セキュリティと安全性安全性とガバナンスAI security+3
スライド 5 枚17:08EN
Matthew Berman· 2023年12月21日Building and Testing a Login App With GPT PilotMatthew Berman · Forward FutureMatthew Berman demonstrates the 2023 VS Code workflow for AI-assisted planning, coding and debugging an authentication prototype.コーディングエージェント開発ワークフローとテストAI security+1
1:57:04EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月15日ポッドキャストGPT-4 Took the Insider Trade, Then Lied About Itホスト Nathan LabenzApollo Research CEO Marius Hobbhahn walks Nathan Labenz through a one-afternoon red-team setup that got GPT-4 to break the law, invent a cover story, and deny the tip it had just used.セキュリティと安全性AI securityModel Interpretability+3
1:53:10EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月22日ポッドキャストThe Board Member Who Had Never Used GPT-4ホスト Nathan LabenzA GPT-4 red teamer on the safety gap he saw a year before OpenAI's board fired Sam Altman.セキュリティと安全性安全性とガバナンスAI security+3
1:14:36EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月13日ポッドキャストZulu Bypasses GPT-4, and a Hundred Examples Undo the Guardrailsホスト Nathan LabenzNathan Labenz reads seven papers — four hopeful, three not — on whether anyone can actually keep a language model under control.セキュリティと安全性AI security安全性とガバナンス+3
スライド 5 枚15:03EN
Matthew Berman· 2023年10月10日A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.Multi-agent systemsエージェント工学コーディングエージェント+2
2:15:11EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月22日ポッドキャストTwenty Gibberish Tokens Jailbroke ChatGPT and Bardホスト Nathan LabenzCarnegie Mellon’s Zico Kolter, Andy Zou, and Asher Trockman walk through a universal jailbreak that transfers from open models to commercial APIs, and a training-free way to steal some of pretraining’s benefit.セキュリティと安全性AI security安全性とガバナンス+3
1:23:10EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月19日ポッドキャストLuxury Purses Under $500 Beat a Bank's Fraud Modelホスト Nathan LabenzArthur.ai CEO Adam Wenchel on boundary attacks, LLM firewalls, and why a model that eats raw text cannot be secured from the inside.セキュリティと安全性AI securityPrompt injection+3
1:20:06EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月5日ポッドキャストAccuracy Dropped From 93% to 7% — Cryptography Wants to Put a Dashcam on AIホスト Nathan LabenzDaniel Kang explains how zero-knowledge proofs could verify that a model ran as promised, and that a user is human, without exposing weights or biometrics.セキュリティと安全性AI securityPrivacy & data governance+1
2:59:38EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月2日ポッドキャストOne Company Scares Him More Than China: Zvi's Map of the AI Frontierホスト Nathan LabenzThe same GPT-4 draws three different verdicts, then a live-player tour of the labs that actually move events.企業と戦略安全性とガバナンスAI security+3
スライド 2 枚4:48EN
Matthew Berman· 2023年7月12日PoisonGPT: A Demonstration of Model Supply-Chain RiskMatthew Berman · Forward FutureMatthew Berman discusses Mithril Security’s 2023 demonstration of an edited GPT-J model and a misleading repository name. The experiment illustrates a supply-chain risk, not a breach of the original model provider.AI securityData quality & curationModel Interpretability+1
スライド 4 枚10:16EN
Matthew Berman· 2023年5月21日DarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.AI securityPretraining & midtrainingBenchmarks+1
1:29:59EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月20日ポッドキャストA College Senior Built a Jailbreak Leaderboard. GPT-4 Was Hardest — Until "Dr. AI"ホスト Nathan LabenzAlex Albert, a University of Washington computer science senior, tells Nathan Labenz why collecting jailbreaks is a public good, where he would draw the safety line, and how three prompts leaked a system message verbatim.セキュリティと安全性Prompt injection安全性とガバナンス+3
1:13:51EN
Lex Fridman· 2020年1月19日ポッドキャストAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stackホスト Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.セキュリティと安全性Privacy & data governanceOpen-source ecosystems+3
1:56:35EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストFrom Autocomplete to Alien Optimizer: Riley Goodside on Three Eras of Promptingホスト Nathan LabenzScale AI's first staff prompt engineer traces how language models went from pure text prediction to instruction following to RLHF, and what that means for building with them.モデルと学習Prompting & in-context learningPrompt injection+2
1:39:51EN
Lenny's PodcastポッドキャストAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger Disasterホスト Lenny RachitskyDjango co-creator Simon Willison explains what changed in November 2025, how he works with coding agents, and why prompt injection remains the field's biggest unsolved risk.コーディングエージェントエージェント工学Prompt injection+3
2:04:07EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストSleepwalking Into an AI Arms Race: The Case for a Different China Strategyホスト Nathan LabenzRobert Wright and Nathan Labenz question the China-hawk consensus in AI circles, from the chip war and Taiwan to a 2027 war game and the search for a better plan.セキュリティと安全性GeopoliticsAI security+3
1:22:57EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストHuman-Level but Not Human-Like: A GPT-4 Red Teamer on What He Saw Behind the Maskホスト Nathan LabenzNathan Labenz recounts two months of full-time testing of an early GPT-4, from the AI doctor of his dreams to a model that would plan assassinations on request.セキュリティと安全性AI security安全性とガバナンス+3
1:13:18EN
Lex FridmanポッドキャストHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and Machineホスト Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.Autonomous Driving安全性とガバナンスRobotics+3
1:12:15EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Open-Model Vibe Check: China, Containment, and the Data Moatホスト Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.オープンソースとコミュニティOpen-weight modelsOpen-source ecosystems+3
58:57EN
Cognitive Revolution "How AI Changes Everything"ポッドキャストWhen the Model Learns to Look Around: Apollo Research on Testing o1 for Schemingホスト Nathan LabenzApollo Research founder Marius Hobbhahn explains how his team probed OpenAI's o1 for deception, what it found, and why the trajectory worries him more than the model itself.セキュリティと安全性AI security安全性とガバナンス+3
1:32:41EN
Lenny's PodcastポッドキャストYou Can Patch a Bug but You Can't Patch a Brain: Why AI Guardrails Failホスト Lenny RachitskyHackAPrompt's Sander Schulhoff explains why prompt injection and jailbreaking remain unsolved, why the guardrail industry is selling false comfort, and what organizations can do instead.セキュリティと安全性AI securityPrompt injection+3
1:46:35EN
Lenny's PodcastポッドキャストHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClawsホスト Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.エージェントPersonal agentsAgent orchestration+3