List all the best tools for healthcare, alphafold, ai coscientist ? what's your best tools list ? then create skills, and ask for a goal
LLMS
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Training Student LLMs to Fix Sloppy Code Reimplementations
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FREE IDEA! Take a human-authored codebase from <2022, have teacher LLM create a "sloppy" reimplementation of a single feature, then train student LLM to undo the slop. Should bias away from broad exceptions, blank returns, attribute/type checking, or low-q defensive coding.
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AdaReasoner: Dynamic Tool Orchestration for Visual Reasoning
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AdaReasoner Dynamic Tool Orchestration for Iterative Visual Reasoning
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Cohere launches Model Vault for secure AI model deployment
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Today we’re launching Model Vault — a dedicated, fully managed platform to run Cohere models securely and at scale.
— Cohere (@cohere) 28 janvier 2026
Model Vault delivers the control and isolation of self-hosting, without the operational burden:
🔒 Dedicated, isolated VPC
⚡ No noisy neighbors or rate limits
🔁… pic.twitter.com/ESkpISB99QToday we’re launching Model Vault — a dedicated, fully managed platform to run Cohere models securely and at scale. Model Vault delivers the control and isolation of self-hosting, without the operational burden: Dedicated, isolated VPC No noisy neighbors or rate limits
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Google tests voice cloning on AI Studio for Gemini 3 Flash
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BREAKING 🚨: Google is testing Voice Cloning on AI Studio, potentially ahead of the anticipated Gemini 3 Flash Native Audio upgrade.
— 🚨 AI News | TestingCatalog (@testingcatalog) 28 janvier 2026
Users will be able to record and upload their own voices to let Gemini clone them.
Soon? 👀 pic.twitter.com/AW9aIGSBhGBREAKING : Google is testing Voice Cloning on AI Studio, potentially ahead of the anticipated Gemini 3 Flash Native Audio upgrade. Users will be able to record and upload their own voices to let Gemini clone them. Soon?
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AI Stack Layers: From Rules to Agentic Intelligence
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AI isn’t one thing — it’s a stack. Rules → ML → Neural Nets → Deep Learning → GenAI → Agentic AI Agents don’t replace the layers below.
They orchestrate them. If GenAI answers,
Agentic AI executes. -
Abacus AI Deep Agent: Autonomous AI with Infinite Memory
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Abacus AI Deep Agent actually does the work.
— Abacus.AI (@abacusai) 28 janvier 2026
Give it a task → it builds the app.
Needs a database → it connects and uses it.
Needs recurring logic → it schedules itself.
Needs context tomorrow → it remembers.
Autonomous agents with infinite memory, backed by a persistent AI… pic.twitter.com/ouQqhZaJiDAbacus AI Deep Agent actually does the work. Give it a task → it builds the app.
Needs a database → it connects and uses it.
Needs recurring logic → it schedules itself.
Needs context tomorrow → it remembers. Autonomous agents with infinite memory, backed by a persistent AI -
Specific roles matter: avoid vague expert prompts for LLMs
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Here's what most people do: "Act as an expert marketing strategist and help me with my campaign." The LLM has no idea what kind of expert. B2B or B2C?
Digital or traditional?
Startup or enterprise?
Data-driven or creative-first? Garbage in → garbage out. -
Specific personas boost LLM output quality to 94%
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Telling an LLM to "act as an expert" is lazy and doesn't work. I tested 47 persona configurations across Claude, GPT-4, and Gemini. Generic personas = 60% quality
Specific personas = 94% quality Here's how to actually get expert-level outputs: -
Anthropic to enable Cowork tasks from Claude Projects soon
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Anthropic will enable users to start Cowork tasks directly from Claude Projects soon.
— 🚨 AI News | TestingCatalog (@testingcatalog) 28 janvier 2026
These tasks will utilise project context, like instructions and uploaded files, for task execution.
* not available to the public yet https://t.co/8MCpWVWKo4 pic.twitter.com/H5fAP712kbAnthropic will enable users to start Cowork tasks directly from Claude Projects soon. These tasks will utilise project context, like instructions and uploaded files, for task execution. * not available to the public yet