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…Claude Opus 4.6 and GPT-5.4, focusing on real-world software engineering tasks. The model features a 262,144 token context window, extensible to 1M+, and demonstrates strong error recovery and reasoning capabilities, such as responding to…
…data, unlike the Deepseek API. The model supports a full 128k context size, costs $0.9/m, and operates at 25t/s; however, privacy concerns have been raised about the terms of service. OpenRouter can proxy to Fireworks, and there are plans…
…Control: @arankomatsuzaki highlights Visual Imitation Enables Contextual Humanoid Control pipeline that converts monocular videos into transferable humanoid skills. SWE-agent: @OfirPress announced a talk on how and why they built SWE-bench …
…about my session management. Like, how many tokens am I into my context window? How deep am I going here? Matt Pocock’s wayfinder skill, as documented in GitHub I didn’t want to feel constrained in the planning stage anymore. I wanted an…
…applications where Mamba excels. LLM-based Agents for Software Engineering: @omarsar0 highlighted a survey paper on current practices and solutions for LLM-based agents in software engineering, covering topics like requirement engineering, …
…Qwen3‑Next‑80B‑A3B with FP8: Apache‑2.0 weights focused on long‑context speed; mixture‑of‑experts with gated attention/DeltaNet, trained on ~15T tokens with GSPO, supports up to 262k tokens (longer with mods). Summary via @DeepLearningAI.…
…is aiming for - the most creative and efficient use of context we have ever seen openly explained. View post on X If you are the sort to only read model versions and benchmark headlines, you are exactly the type of superficial person that…
…in a lighthearted manner about game launches and prompt engineering. Satirical Comments on AI Hype: @teortaxesTex humorously commented on overly optimistic AI expectations, emphasizing the perpetual nature of humorous content regardless of …
…on knowledge, forward-planning, constraint adherence, and long context reasoning. Claude Performance with Extended Thinking: @cline reports that Claude Opus 4 with Extended Thinking achieved 58% better performance on reasoning tasks, while …
…summarized V4 Flash 0731 as still 284B total / 13B active, 1M context, text-only, at $0.14 / $0.28 per 1M input/output tokens with an unusually aggressive 98% cache-hit discount to $0.0028 / 1M cached tokens (@ArtificialAnlys). On their…
…shifting preferences in coding assistants. Effective Prompt Engineering Insights: Discussions on crafting effective prompts emphasized their necessity for generating accurate AI outputs, focusing on providing ample context. Concerns were…
…not just prompting, focusing on declarative intent and context engineering, and NOT prompt optimization. aider (Paul Gauthier) ▷ #general (48 messages🔥): Make vs Zapier vs n8n, aider git repo error, MCP tool call models,…
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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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