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Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents
Liquid AI released LFM2.5-24B-A2B, an open-weight 24B Mixture-of-Experts reasoning model with 2B active parameters. It targets local agents, scoring 48.09 on LiveClaw and decoding 184 tokens/s on an Apple M5 Max. The post Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents appeared first on MarkTechPost.
Google Releases Gemini 4 Argon API With 1M Token Output Limit
Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%. The post Google Releases Gemini 4 Argon API With 1M Token Output Limit appeared first on MarkTechPost.
Science Corporation implants its vision-restoring chip in its first Stargardt disease patient
Max Hodak, the former president and co-founder of Neuralink, detailed on stage at TechCrunch Disrupt how his company's work with PRIMA is part of its path toward a novel brain-computer interface (BCI).
Cerebras CEO says we’re nearing a future where everyone has a personal AI assistant at home
Cerebras CEO Andrew Feldman predicts a future where personal AI assistants become as commonplace as household appliances, running partly on local devices and partly in the cloud.
Industrial Next wants factory robots to switch tasks in minutes, not weeks
Industrial Next helps manufacturers automate complex, delicate tasks that have traditionally required human labor.
Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It
Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on Muse Code plans, leads DeepSWE and SWE-Marathon. The post Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It appeared first on MarkTechPost.
Cerebras CEO pushes back on AI doomsday warnings
Cerebras CEO Andrew Feldman has a message for AI leaders spreading doomsday warnings: Maybe stop talking? At TechCrunch Disrupt, he argued that the industry's focus on AI's risks is drowning out its potential benefits.
How to Use Meta’s Rebalancer for Task Placement & Optimization
In this comprehensive coding tutorial, we explore Meta's Rebalancer assignment solver using its C++ core and Python bindings. Learn how to build datacenters, manage task placements across racks, handle constraints and goal priorities, and compare local search against the exact HiGHS solver using published benchmarks. The post How to Use Meta’s Rebalancer for Task Placement & Optimization appeared first on MarkTechPost.
Judge orders OpenAI to turn over hiring records in Apple trade secrets case
A federal judge ruled that Apple can access OpenAI's interview materials involving former Apple employees, as well as private messages and testimony from key figures in the case.
Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads
Flox's edge devices can identify animals and use species-specific sounds to drive them away from critical infrastructure.
Facebook is giving users more control over their algorithm
Meta announced the launch of its new AI-powered feature, “Your Algorithm,” a feature it first launched on Instagram.
Laplace Intelligence red-teams robots and self-driving cars before they hit the real world
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable startup is competing in Startup Battlefield at TechCrunch Disrupt, October 13-15 in San Francisco.