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19:03ENAI News in October 2024: Apple Intelligence, Coding Assistants, Search, and AgentsMatthew Berman · Forward FutureMatthew Berman reviews the first Apple Intelligence release, new coding tools, AI search disputes, local models, and reports of browser agents.
12:29ENTesting the Updated Claude 3.5 Sonnet: Coding, Reasoning and VisionMatthew Berman · Forward FutureMatthew Berman tries the October 2024 model on Python games, logic puzzles and images, with mixed results and some ambiguous grading.
1:19:00ENEiso Kant on Poolside, Compute and AI for Software DevelopmentInvitado: Eiso Kant · Presenta: Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.
2:29:04ENKeep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy EditingInvitado: Cursor Team · Presenta: Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.
15:00ENMatthew Berman Tests the First ChatGPT Canvas BetaMatthew Berman · Forward FutureA 2024 walkthrough explores side-by-side code and writing edits, unexpected shortcut behavior and platform risk for AI developers.
1:09:09EN30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkPresenta: Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.
10:57ENTesting OpenAI o1-preview: Tetris, Physical Reasoning and a North Pole ErrorMatthew Berman · Forward FutureIn September 2024, Matthew Berman runs the new reasoning-model preview through a personal rubric and examines where its answers succeed or fail.
21:21ENOpenAI o1’s 2024 Launch: Reasoning Benchmarks and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews o1-preview and o1-mini, OpenAI’s reported evaluations, and his own early coding experiments.
1:31:56ENTesting OpenAI o1 on Puzzles, Code and Reasoning: A Launch-Day LivestreamMatthew Berman · Forward FutureMatthew Berman tries o1-preview and o1-mini on word counts, Tetris, physical reasoning and a word puzzle, with viewers checking the results.
51:15ENAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.
37:47ENWorking Backwards from AGI: Magic's Five-Million-Token BetPresenta: Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.
1:30:24ENDaniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.
18:37ENGameNGen Simulates Doom as AI Coding, Safety and Inference News AccelerateMatthew Berman · Forward FutureMatthew Berman reviews a 2024 game-simulation paper, Cursor, robotics, AI safety debates and new enterprise tools.
19:46ENLinus Torvalds and Dirk Hohndel on AI Coding, Bugs and HypeMatthew Berman, Linus Torvalds, Dirk Hohndel · Forward FutureMatthew Berman reacts to two conversations about AI-assisted programming, code review, automation and open data.
18:39ENAI Scientist, Grok-2 and Agent Q: Matthew Berman’s August 2024 AI News RoundupMatthew Berman · Forward FutureA week of model releases, web agents and AI research raises questions about benchmarks, automation and the gap between prototypes and predictions.
1:07:34ENGitHub Didn’t Believe Copilot Was Writing 25% of the CodeThomas Dohmke tells Sequoia how an unplanned GPT-3 experiment became Copilot, why GitHub still will not train its own foundation model, and how he wants a billion people writing software by 2030.
13:40ENTesting Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.
25:56ENA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024Presenta: Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.
59:11ENDon't Train a Model. Factory's Founders Say Go Dig for GoldMatan Grinberg and Eno Reyes tell Sequoia's Training Data why they sell a fleet of job-specific droids on top of other people's models — and how that stack just took SWE-bench from 14% to 19%.
10:57ENTesting Claude 3.5 Sonnet: Coding, Reasoning, and VisionMatthew Berman · Forward FutureMatthew Berman puts Anthropic’s June 2024 model through informal coding, math, puzzle, and image-understanding prompts.
27:37ENLeo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.
17:03ENQwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.
25:00ENMicrosoft Build 2024: Copilot+ PCs, Phi-3 and AI DemosMatthew Berman, Satya Nadella, Sam Altman, Seth Juarez · Forward FutureMatthew Berman reviews selected Microsoft keynote announcements, product demonstrations and a conversation with Sam Altman.
20:00ENGitHub Copilot Workspace, Amazon Q and Sam Altman on AI’s Next StepsMatthew Berman, Sam Altman · Forward FutureA May 2024 roundup examines task-centered coding assistants, Rabbit R1, AI infrastructure, generated video and voice cloning.
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