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AI Professionals and Community #258

#tech #ai #coding

🤖 AI Research - Automated PhD

Google just automated the PhD. They built an AI that reads a problem, forms hypotheses, runs experiments, writes the paper, AND simulates its own peer review. no human touches it. It’s called “ScientistTwo” It is a fully autonomous multi-agent framework that executes.

Key Points:

  • Autonomous Research Framework: ScientistTwo is a fully autonomous multi-agent framework that executes research tasks without human intervention.

  • AI-Driven Research: The framework uses AI to read problems, form hypotheses, run experiments, and write papers, simulating peer review in the process.

  • No Human Touch: The entire research process is automated, with no human involvement.

🔗 Resources:

  • Original post
  • Original source
  • Google AI Research
  • Automated PhD framework

🌌 Astronomy - Saturn Observation

Saturn in near perfect seeing on September 22nd A spell of near perfect seeing on the 22nd allowed for the best session of the apparition. A small dark spot is seen in the northern hemisphere just right of centre, while some faint spokes are seen in the rings. Some of Saturn's

Key Points:

  • Saturn Observation: The observation of Saturn on September 22nd was notable for its near perfect seeing conditions.

  • Dark Spot and Spokes: A small dark spot was observed in the northern hemisphere, along with faint spokes in the rings.

  • Optimal Conditions: The observation was made possible by optimal seeing conditions.

🔗 Resources:

🎨 Portfolio Redesign

Redesigned my portfolio after way too long lemme know what you think about it Also drop yours, i'll rate it out of 10 need some inspo ngl xd Link : https:// tryingtobenikhil.space

Key Points:

  • Portfolio Redesign: The portfolio has been redesigned after a long time.

  • Feedback Requested: Feedback is requested from others to improve the portfolio.

  • Inspiration Needed: Inspiration is needed to improve the portfolio.

🔗 Resources:

💸 Model Comparison

Astra Minor is apparently the same price as Opus 5.5 and "better" (atleast on token effiency/performance comparing benches), but I don't think they'll be winning when it comes to real-world usage. Opus is too good.. I don't really have many more opinions until after DevDay tho

Key Points:

  • Model Comparison: A comparison of Astra Minor and Opus 5.5 models.

  • Token Efficiency: Astra Minor is more efficient in terms of token usage.

  • Real-World Usage: Opus 5.5 is expected to perform better in real-world usage.

🔗 Resources:

🧬 Heart Resonance Analysis

Just by looking at a heart-level resonance, AI achieves 96% accuracy in determining whether it belongs to a white or Black person. Denying biological races is harmful to society, for many reasons, but one of them is that it hinders providing more appropriate healthcare

Key Points:

  • Heart Resonance Analysis: AI achieves 96% accuracy in determining heart resonance.

  • Biological Races: Denying biological races is harmful to society.

  • Healthcare: Providing more appropriate healthcare is hindered by denying biological races.

🔗 Resources:

  • Original post
  • Original source
  • Calotonterias
  • Heart resonance analysis

🚀 Character Swap

I'm loving the character swap LoRA for H3, I think it might be even better than animate and inpainting https:// huggingface.co/spaces/hugging -apps/minimax-h3-character-swap-lora …

Key Points:

  • Character Swap: Character swap using LoRA for H3.

  • Better than Animate and Inpainting: The character swap is expected to be better than animate and inpainting.

  • Hugging Face: The character swap is available on Hugging Face.

🔗 Resources:

🕒 Model Selection

Your decision on model selection boils down to whether you care about data privacy and if you truly need the model fast enough to sit in the critical path (<50ms). Less than an hour on the Fastino training api (familiar if you have ever used Tinker) will get you a model that

Key Points:

  • Model Selection: Model selection depends on data privacy and critical path requirements.

  • Data Privacy: Data privacy is a key consideration in model selection.

  • Fast Model Training: Fast model training is possible using Fastino training API.

🔗 Resources:

🤝 Polyglot RFCs

Thank you to everyone who has given feedback on Turborepo's polyglot RFCs (Rust, Python, Go) so far. • @tweeshan • Foshati • TimDiekmann • @arthurfiorette • @eersnington • @kachkaev • sscotth • swyrin • @techsavvytravvy • @_4rcadia • @pungrumpy • @stanzillaz •

Key Points:

  • Polyglot RFCs: Feedback has been received on Turborepo's polyglot RFCs.

  • Languages: The languages involved are Rust, Python, and Go.

  • Feedback: Feedback has been received from multiple individuals.

🔗 Resources:

🤔 Sunday Tinkering

What are you tinkering with this Sunday? Reply with the project and a link if it's live. AI agents, dev tools, indie SaaS all welcome. I'll take a look and follow the builders whose work I want to keep up with.

Key Points:

  • Sunday Tinkering: Tinkering is encouraged on Sundays.

  • Projects: Projects can be shared and discussed.

  • Follow-up: Follow-up is encouraged for shared projects.

🔗 Resources:

Read More & Connect

Interactive version: blogs.drix10.com

Written by Drishtant Ghosh (Drix10), a technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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