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…via minimalism + isolation” rather than tool sprawl (Vercel). Context engineering debate: linear chat logs vs “call stack” representations: A widely engaged post argues context-window “compaction” is partly self-inflicted by agent harnesses…
…Apple also outlined Siri capabilities that would use personal context and take actions across apps—for example, adding an address received in Messages to a contact card. These were staged plans: Apple announced a free U.S. English beta for …
Paul Bakaus thinks the emerging discipline of “skill engineering” can make AI agents more capable — but he absolutely does not want to remove people from the creative process. He chats to Latent Space about his approach to design in the AI …
…to practice tasks autonomously. That earlier research provides context for the physical-agent side of his work. Earlier foundations: skill discovery and robot practice Sharma coauthored Dynamics-Aware Discovery of Skills (DADS) with…
…arbitrary number of interleaved images with text and has a huge context window of 10k tokens. BigLlama-3.1-1T-Instruct: @maximelabonne presented an upscaled version of Meta-Llama-3-120B-Instruct, created through a self-merge of Llama 3 70B.…
…distribution through product–model co-design. For software engineering, that means encompassing writing code, checking logs, debugging and iterating. He also criticized the earlier RL research community’s overfitting to benchmarks and…
…larger Qwen2.5‑VL‑72B from six months ago. They support 256K context, expandable to 1M, and “open vocabulary” detection. Apache‑2.0 license. Announcements and cookbooks: @Alibaba_Qwen, cookbooks, follow‑ups. Ecosystem: day‑0 support in…
…support: staff tag an issue, let the agent collect diagnostic context, then bring engineering into the conversation with fewer requests for more information. - Security work: agents perform continual scanning and review. Devin’s auto triage…
…(Alibaba_Qwen). Community amplification highlights 262K native context (extendable to 1M) and competitive scores reported in tweet summaries (e.g., “82.5 MMLU-Pro,” “78.4 MMMU,” “97.2 CountBench”)—treat these as vendor/secondary claims…
…replacing the platform. In the Latent Space conversation, that engineering thesis accompanies a moral commitment. Azhnyuk presents resistance to invasion as an obligation and weapons developers as support for those doing the fighting. A…
…with maintaining consistent bot performance in gaming contexts. OpenAI ▷ #prompt-engineering (86 messages🔥🔥): Prompt Engineering Challenges LLMs Interaction Self-Observation in AI Chain of Thought Prompting Criticism of AI Responses…
…the researcher. The software vision applies decomposition to engineering. A general assistant such as Claude might break down a distributed system and call Axiom for a component it can tackle. Axiom would return a formally verified…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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