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…Molmos, etc.) and reproducible AI for science (@allen_ai). Context from @natolambert: this single line item is ~20% of NSF’s 2026 AI budget; NVIDIA is contributing leading hardware. Reflections from @HannaHajishirzi. Cohere raises $500M;…
…21B active parameters, 192 experts / top-8 routing, GQA, 256K context, and a 3.8B MTP layer for speculative decoding. Multiple posts framed it as competitive with much larger systems on reasoning, coding, and agentic tasks, with particular …
…Enthusiasm: darthgustav. supports the idea that a good prompt engineering plan works well every time, implying a consistent strategy for successful AI interactions. Improving Contextual Understanding: @ArianJ is facing issues with the AI…
…noting it gave models only ~20 lines of code plus custom context, whereas real vulnerability discovery requires cross-file reasoning. @gneubig reframed the problem: software already has millions of known unfixed vulnerabilities, and coding …
…and suggested disabling web protection in VPN settings. GPT-4 Context and Captcha Challenges: @orbart and @blckreaper are frustrated with ChatGPT's reduced memory for narrative work, suspecting a decrease in tokens processed, while…
…efficient fine-tuning of Qwen3 models with up to 8x longer context length than previous FlashAttention 2 setups on a 24GB GPU, with Qwen3-30B-A3B fitting in 17.5GB VRAM. They provide 4-bit quantized instruct models (safetensors) from 1.7B…
…xAI and Anduril. The second was Citadel, where I ran business engineering. Our customers were portfolio managers, and the only question that mattered was whether the data and software products we built helped them generate alpha. The third …
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Model Releases and Updates Gemini 1.5 Pro and Flash models released by Google DeepMind: @_philschmid shared that Gemini 1.5 Pro is a sparse multimodal …
…emphasized observability/tracing for document workflows (post, context). A Claude Code harness server (@dzhng) and an open Computer Use Agent using open models/smolagents/E2B (@amir_mahla) round out the OSS options. Infra and open-source:…
…like OpenClaw and Scout, drawing on the full enterprise context exposed by context layers like Work IQ (heavily dogfooded by his C-suite), and building up private evals and traces as a new form of Token IP AI ROI: On one hand, enterprises…
…between using their framework and "sticking it all in context". There will likely not be a clear winner here for a long time and AI Engineers will simply have to be familiar with both. {% if medium == 'web' %} Table of Contents [TOC] {%…
…introduced Mistral NeMo as a 12B model supporting 128k token context window, FP8 aligned checkpoint, and strong performance on academic, chat, and fine-tuning benchmarks. It's multilingual in 9 languages with a new Tekken tokenizer.…
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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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