Miguel Alonso Jr.

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Practitioner with public evidence across Agents & robotics.

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Building generally intelligent agents - ML, RL, Robotics

Articles & links

Miguel Alonso Jr. reposted
Lynn Cherny @arnicas.bsky.social

Google DeepMind article on 15 tears of Ai game research

Exploring new frontiers of AI and games research — Google DeepMind deepmind.google
AI Weekly's analysis
  • Google DeepMind announced a research partnership with Fenris Creations, the studio behind EVE Online, to probe frontier AI capabilities inside the 20-plus-year-old space MMO.
  • The four capabilities in scope are named plainly: continual learning, memory, long-horizon planning, and complex multi-agent dynamics.
  • SIMA 2, powered by Gemini, now operates as an interactive companion across No Man's Sky, Valheim and Hydroneer, with an Aura Guidance system inside EVE.
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Miguel Alonso Jr. reposted
Tim Kellogg @timkellogg.me

I made a skill for Claude Code/Codex/etc. for selecting models based on Artificial Analysis reported benchmarks & costs I figure it'll be useful for letting models setup subagents well, based on the actual task at hand github.com/tkellogg/mod...

GitHub - tkellogg/model-selection: A skill for model selection github.com
AI Weekly's analysis
  • The skill queries Artificial Analysis' API so subagents can rank available models by benchmark scores and cost before picking one for a task.
  • API calls are cached on a daily basis to stay under Artificial Analysis' free tier limit of 100 requests per day.
  • Install is a git clone into ~/.claude/skills, with an optional symlink into ~/.codex/skills for people running two agents.
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Miguel Alonso Jr. reposted
Sung Kim @sungkim.bsky.social

GLM-5.3 is now open-weight. Their most capable model for agentic coding and cyber defense is now available to download, run, and customize. Weights: huggingface.co/zai-org/GLM-5.3 Tech blog: z.ai/blog/glm-5.3

z.ai
AI Weekly's analysis
  • GLM-5.3 launched on August 14, 2026, keeping GLM-5.2's base and lifting Terminal-Bench 3.0 from 4.6 to 28.3 through post-training alone.
  • On CyberGym vulnerability discovery, GLM-5.3 scored 84.5%, slightly ahead of Claude Mythos 5 at 83.8% and GPT-5.6 Sol at 83.6%.
  • Z.ai says the model surfaced 2,436 vulnerabilities across 269 open-source projects, 1,097 rated critical or high, and delayed weights about two weeks.
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Miguel Alonso Jr. reposted
@unsloth.ai

Kimi K3 can now be run locally! ✨ The 1-bit model retains ~78.9% accuracy after we shrunk it from 1.56TB to 594GB (-62% size). Run on a Mac Studio + 128GB RAM device. Kimi K3 is the strongest open model to date. Guide: unsloth.ai/docs/models/... GGUF: huggingface.co/unsloth/Ki…

unsloth/Kimi-K3-GGUF · Hugging Face huggingface.co View on Bluesky →

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