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4 diapositives9:58EN
Matthew Berman· 31 janv. 2025OpenAI o3-mini Launch: Reasoning Effort, Benchmarks and a Snake TestMatthew Berman · Forward FutureIn January 2025, Matthew Berman reviews OpenAI’s reported results and tries two coding examples with different reasoning settings.OpenAIReasoning & test-time computeBenchmarks+1
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Matthew Berman· 6 nov. 2024Comparing Three Local Coding ModelsMatthew Berman · Forward FutureMatthew Berman introduces a sponsored comparison of DeepSeek Coder V2, Yi-Coder and Qwen Coder running on a workstation.Local inferenceAgents de codeOpen-weight models
9 diapositives19:03EN
Matthew Berman· 30 oct. 2024AI 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.AI agentsAI AdoptionAgents de code+2
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Matthew Berman· 4 oct. 2024Matthew 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.OpenAIProduit et UXHuman-AI Collaboration+1
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Cognitive Revolution "How AI Changes Everything"· 2 oct. 2024Podcast30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually ThinkAnime : 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.Agents de codeIngénierie d’agentsFine-tuning+3
3 diapositives13:40EN
Matthew Berman· 29 juil. 2024Testing 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.Open-weight modelsÉvaluationsModèles et entraînement+1
6 diapositives10:57EN
Matthew Berman· 24 juin 2024Testing 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.ÉvaluationsAgents de codeMultimodal AI+2
6 diapositives17:03EN
Matthew Berman· 8 juin 2024Qwen2 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.Open-weight modelsBenchmarksLocal inference+2
4 diapositives17:12EN
Matthew Berman· 30 avr. 2024Testing the Mystery 'gpt2-chatbot' Model in April 2024Matthew Berman · Forward FutureMatthew Berman tries an anonymous model on coding, arithmetic and reasoning tasks while its identity remains uncertain.BenchmarksModèles et entraînementAgents de code+1
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Cognitive Revolution "How AI Changes Everything"· 12 mars 2024PodcastWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%Anime : Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.Agents de codeWorkflows de développement et testsCode review & verification+3
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Cognitive Revolution "How AI Changes Everything"· 2 déc. 2023PodcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Anime : Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.AgentsIngénierie d’agentsReasoning & test-time compute+3
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Cognitive Revolution "How AI Changes Everything"· 29 nov. 2023PodcastAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidAnime : Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.Agents de codeVibe CodingWorkflows de développement et tests+3
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Matthew Berman· 18 oct. 2023Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.Ingénierie d’agentsOpen-weight modelsMulti-agent systems+2
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 5 oct. 2023PodcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersAnime : Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.Entreprise et stratégieIngénierie d’agentsAgents de code+3
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Cognitive Revolution "How AI Changes Everything"· 29 sept. 2023PodcastGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.Anime : Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.Entreprise et stratégieAI StrategyProduct Strategy+3
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 8 août 2023PodcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligenceAnime : Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.Agents de codeDeveloper productivityAI startups & small teams+3
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Cognitive Revolution "How AI Changes Everything"· 4 août 2023PodcastReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsAnime : Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.Agents de codeDeveloper productivityProduct Strategy+3
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Matthew Berman· 10 juil. 2023Testing UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.Open-weight modelsÉvaluationsModèles et entraînement+1
5 diapositives7:37EN
Matthew Berman· 25 mai 2023Smol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.Software engineeringAgents de codeDeveloper productivity+1
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Cognitive Revolution "How AI Changes Everything"· 23 févr. 2023PodcastA Hundred Million to Train, a Penny to InferAnime : Nathan LabenzIn a February 2023 roundtable, two founders argue on mic over whether AGI ends humanity — and who actually captures the value if it does not.Entreprise et stratégieAGIExistential Risk+3
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Lenny's PodcastPodcastCodex Is Not Just a Coding Tool: OpenAI's Plan for an Agent That Behaves Like a TeammateAnime : Lenny RachitskyCodex product lead Alexander Embiricos explains the 20x growth, why every useful agent may need to write code, and why human review speed is the real bottleneck.Agents de codeCode review & verificationDeveloper productivity+3
1:39:51EN
Lenny's PodcastPodcastAfter the Inflection Point: Simon Willison on Agentic Engineering, Dark Factories and the Coming AI Challenger DisasterAnime : 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.Agents de codeIngénierie d’agentsPrompt injection+3
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Lenny's PodcastPodcastEvals Are the New PRDs: Inside Anthropic's Research Product TeamAnime : Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.Produit et UXAI Product ManagementProduct Strategy+3
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Unsupervised Learning: With Jacob EffronPodcastReplit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software CreatorsAnime : Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.Produit et UXAgents de codeVibe Coding+3
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