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…data from 9 volunteers in controlled typing settings. The key engineering point is not consumer readiness, but that the stack combines raw neural-signal modeling with language modeling strongly enough to make sentence-level decoding…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Models and Architectures Gemma 2 model family: @armandjoulin noted Gemma 2 27B is now the best open model while being 2.5x smaller than alternatives,…
…Top comments attribute the shortcomings to poor prompt engineering (vague, high-level goals), model selection (Opus vs. Sonnet behavioral tradeoffs), and the importance of stepwise, context-rich directives. Experts recommend decomposing…
…were also covered. Future developments like GPT 4.5 and prompt engineering for large context windows were topics of interest.
…Gemini 2.5 Pro's capabilities in coding and reasoning over long contexts are highlighted: @OriolVinyalsML pointed out that Gemini 2.5 models dominate in MRCR and other benchmarks on long context, showcasing its ability to reason over an…
…layer to reduce repetitive compute costs: Avoiding Context Bloat: Tools, skills, and plugins are only surfaced when needed (deferred discovery), and tool outputs are capped at 10,000 tokens by default to prevent the context window from…
…highlighting issues with executing tasks and maintaining context. They mention specific problems like incorrectly updating documents, misnaming files, and ignoring instructions, leading to an experience likened to dealing with an…
…as CEO of Apps at OpenAI under Sama. This all comes under the context of Meta offering >10m/yr comp pacakges to top researchers, successfully nabbing Jack Rae from Gemini. AI Twitter Recap OpenAI Model Updates & Pricing o3-pro Release and…
…Alex Albert shared 5 architectures for using them in an agentic context: Delegation: Use cheaper, faster models for cost and speed gains. For example, Opus can delegate to Haiku to read a book and return relevant passages. This works well…
…(tweet). Follow-on tweet points to benchmarks/leaderboards context (tweet). Community demos quickly popped up on Hugging Face Spaces (tweet). A “strong new open 32B VLM model from Korea”: Elie Bakouch notes strong English + Korean benchmark…
…video - for instance the same character - into a new scene or context. Generative video-audio continuation from input video and audio. Keyframe-to-video generation for controlled transitions between defined moments. Multilingual dialogue. A…
…using Deep Research, including chatting before searching for context. @hrishioa provided examples of Deep Research with and without prompt crafting, and using o1pro instead of o3minihigh. AI & Society, Ethics, and Future AI Robotics…
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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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