Muse Image, Grok 4.5, Alex Karp on CNBC
Stratechery analysis: verifiable data infrastructure emerging as competitive differentiator across Meta, Grok, and frontier AI labs.
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Stratechery analysis: verifiable data infrastructure emerging as competitive differentiator across Meta, Grok, and frontier AI labs.
OpenAI launches GPT-5.5 Bio Bug Bounty program to identify biosecurity risks in model outputs.
OpenAI releases GPT-5.6 with improved token efficiency and cost-performance for enterprise workloads.
OpenAI launches ChatGPT Work agent with multi-app integration, persistent task execution, and goal-to-output automation.
SpaceXAI continues to move faster than any other frontier lab on earth.
Meta releases Muse Spark 1.1, an update to its text-to-image generation model with unspecified improvements.
OpenAI's GPT-5.6 becomes default model in Microsoft 365 Copilot, expanding deployment across Word, Excel, PowerPoint, and Chat applications.
Serving 8.9 million developers, Ollama has raised $88M from Benchmark, Theory Ventures, 8VC, Y Combinator, and many incredible angel investors.
Jarred Sumner details rewriting Bun runtime from Zig to Rust, showcasing agentic engineering techniques including dynamic workflows and adversarial review.
OpenAI upgrades ChatGPT voice mode with GPT-Live, which delegates complex tasks to GPT-5.5 while maintaining conversation flow.
Modal CTO Akshat Bubna discusses infrastructure requirements for agentic AI systems, covering lessons from building agent-native cloud platform.
The $300 million round is expected to be led by Menlo Ventures, Sifted reported.
AI cheating leads to "a failed society," professor says.
Earlier this week, a picture that seemed to show Kentucky Senator Mitch McConnell covered in tubes in a hospital bed in a state of extreme distress. It turned out to be an AI-generated fake.
Kenton Varda banned AI-generated PR/commit messages after finding them missed high-level context while restating obvious code details.
More young girls sue X over Grok CSAM; X accused of shielding child predators.
Elon Musk's tech company released the newest version of Grok on Wednesday, promising a cheaper, more efficient alternative to other powerful AI models.
General Intuition is betting millions of hours of video game data can train the foundation models for physical AI, making it easier to build smarter robots with minimal real-world data.
The feature can do things like apply cinematic relighting to brighten up a dark clip, swap out a plain background for something fun, or add artistic styles to videos.
Deep learning approach for structure-property reasoning in chemistry/materials that preserves domain-native structural information and scientific constraints.
Co-LMLM extends limited-memory language models with continuous vector keys for flexible knowledge retrieval, improving over discrete relational KBs.
Analysis of transformer linearization via state update design; introduces sink tokens to improve long-context inference while preserving model quality.
Causal trajectory analysis framework for LLM-based agent optimization, extracting root causes from noisy execution traces to improve long-horizon policies.
Jailbreak system uses agentic code generation to bypass database drivers and directly read storage files for analytical workloads.
Institutional red-teaming methodology proves deployment rules causally shape multi-agent AI safety via IABench-CA with 33k+ games across seven model populations.
Timestep weighting and advantage-based replay improve feedback efficiency of diffusion RLHF, reducing human evaluation bottleneck.
Agon trains reasoning models via competitive RL where two agents grade each other's solutions, incentivizing better thinking vs. longer traces.
When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential…
Lightweight AI framework digitizes paper ECGs and screens for myocardial infarction in remote clinics with limited connectivity.
NOTES combines neural operators, dimensionality reduction, and evolutionary optimization for robust, transferable PDE-constrained inverse design.