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Cohere launches Model Vault for secure AI model deployment

By

@cohere

–

28 January 2026 15h05

Today 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
🔁… pic.twitter.com/ESkpISB99Q
— Cohere (@cohere) 28 janvier 2026

Today 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

→ View original post on X — @cohere

28 January 2026
Google tests voice cloning on AI Studio for Gemini 3 Flash

By

@testingcatalog

–

28 January 2026 15h04

BREAKING 🚨: 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? 👀 pic.twitter.com/AW9aIGSBhG
— 🚨 AI News | TestingCatalog (@testingcatalog) 28 janvier 2026

BREAKING : 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?

→ View original post on X — @testingcatalog

28 January 2026
Anthropic accused of destructive book scanning and shadow library access

By

@_karenhao

–

28 January 2026 14h53

Damning from @aaronjschaffer
, @WillOremus
, @nitashatiku
. To get more data:
* Anthropic "destructively scanned" millions of books
* co-founder Ben Mann downloaded the shadow library LibGen
* Mann hailed another shadow library's arrival: "just in time!!!"

→ View original post on X — @_karenhao

28 January 2026
AI Stack Layers: From Rules to Agentic Intelligence

By

@ingliguori

–

28 January 2026 14h17

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.

→ View original post on X — @ingliguori

28 January 2026
Abacus AI Deep Agent: Autonomous AI with Infinite Memory

By

@abacusai

–

28 January 2026 14h02

Abacus 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… pic.twitter.com/ouQqhZaJiD
— Abacus.AI (@abacusai) 28 janvier 2026

Abacus 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

→ View original post on X — @abacusai

28 January 2026
Human Ambition and AI-First Differentiation Driving Microsoft Customer Success

By

@haroldsinnott

–

28 January 2026 13h00

How human ambition and AI-first differentiation are helping @Microsoft customers go further with AI https://
blogs.microsoft.com/blog/2025/10/2
8/becoming-frontier-how-human-ambition-and-ai-first-differentiation-are-helping-microsoft-customers-go-further-with-ai/
… @AiqIntelligence @BlackRock @dentsu_global @Ecolab @HeyEpic @harvey_ai @InSilicoMeds @KraftHeinzCo @ManusAI @MercedesBenz @Nasdaq @RalphLauren

→ View original post on X — @haroldsinnott

28 January 2026
Specific roles matter: avoid vague expert prompts for LLMs

By

@godofprompt

–

28 January 2026 12h54

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.

→ View original post on X — @godofprompt

28 January 2026
Specific personas boost LLM output quality to 94%

By

@godofprompt

–

28 January 2026 12h54

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:

→ View original post on X — @godofprompt

28 January 2026
Trinity Large AI Model Released on Hugging Face

By

@julien_c

–

28 January 2026 10h59

➡️ https://t.co/pFKOArUOxf https://t.co/gbHNihMACs
— Julien Chaumond (@julien_c) 28 janvier 2026

https://
huggingface.co/collections/ar
cee-ai/trinity-large
…

→ View original post on X — @julien_c

28 January 2026
AI Detectors Fail: New Contrastive Learning Method Proposed

By

@jiqizhixin

–

28 January 2026 10h26

Can we trust AI detectors to spot LLM-generated text? Researchers from Kyoto University & IIT Kanpur reveal a major flaw: current detectors fail badly outside their training data. They propose a new contrastive learning method that learns the "style" of text, showing

→ View original post on X — @jiqizhixin

28 January 2026

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