Paul Couvert(@itsPaulAi)

Gemini 4 Argon has just built a health AI app that is local and open source! It uses Gemma 100% off...

Paul Couvert (@itsPaulAi) — Mon, 19 Oct 2026 20:16:55 GMT

Gemini 4 Argon has just built a health AI app that is local and open source!

It uses Gemma 100% offline + totally free (see airplane mode in the video) to answer any question about your health no matter the wearable.

You can basically build anything using Argon... this model is SOOOO good

- Go to Google AI Studio
- Select Gemini 4 Argon
- Pick the type of app you want (web/Android)

And you're already good to go!

You can also build web apps using Gemini 4 Argon directly inside the Gemini App by selecting the "canvas" mode.

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Google has just released Gemini 4 Argon 🔥 I was lucky enough to have preview access and it's impre...

Paul Couvert (@itsPaulAi) — Tue, 13 Oct 2026 16:14:07 GMT

Google has just released Gemini 4 Argon 🔥

I was lucky enough to have preview access and it's impressive in many aspects:

- probably the best one for writing
- it doesn't give up on long tasks
- amazing for coding (very versatile)

Don't judge it on 3D stuff... coding goes much further than that, and having tried it on real projects, Argon is ACTUALLY useful.

Already available for Pro/Ultra subscribers in the Gemini app and Ultra in Antigravity.

Google Gemini@GeminiApp

The moment you've been waiting 4…

Our new frontier model, Gemini 4 Argon, is rolling out now in the Gemini app to bring your most complex ideas into reality.

See how Gemini 4 Argon and our latest updates across the Gemini app help you get the most out of every prompt. 🧵

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Local AI is evolving REALLY fast Qwen 3.8 27B was released just 2 months ago and was smarter than O...

Paul Couvert (@itsPaulAi) — Tue, 13 Oct 2026 09:29:06 GMT

Local AI is evolving REALLY fast

Qwen 3.8 27B was released just 2 months ago and was smarter than Opus 4.6

But you needed powerful/expensive hardware to run it

MiniCPM-V 4.7 is as powerful and:

- only 3B active parameters (!)
- it runs even on an iphone
- better than models w/ 10x more active parameters

So you can run a model on a phone that is better than the most powerful one available 6 months ago.

The future is local.

OpenBMB@OpenBMB

🚀 Introducing MiniCPM-V 4.7, our new open-source MLLM series!
Advancing the Performance–Efficiency Pareto Frontier.
It brings strong multimodal capabilities to iOS and Android devices with extreme efficiency.
Two new models: 
🔹 MiniCPM-V 4.7 35B-A3B — Bring SOTA performance to local devices with newly introduced LES (Lookahead Expert Scheduling) technique, a new milestone of on-device multimodal AI. 
🔹 MiniCPM-V 4.7 1B — Lightweight, efficient multimodal AI. Easier to deploy.

⚡ What's new?
SOTA performance: Competitive results across 34 benchmarks spanning multimodal understanding, STEM reasoning, OCR and long-video comprehension.
Fast on-device inference: LES predicts and preloads expert weights to reduce inference stalls, boosting 5× speedup on iPad Pro M4 (16GB) with byte-for-byte identical outputs. It enables MiniCPM-V 4.7 35B-A3B to achieve 17+ tokens/s on iPad Pro M4 (16GB) and 13+ tokens/s on iPhone 17 Pro Max, while costing only 3GB memory 🤯
Efficient visual processing: 4× and 16× hybrid visual token compression. Even at 16× compression, 35B-A3B scores 90.4 on OCRBench, 5.2 points ahead of Qwen3.6 35B-A3B.
Easier customization: We introduce Self-Replay Fine-Tuning, a simple way to customize new target  capabilities at low cost while maintaining general performance.
Broad hardware support: Day-0 adaptations for Apple, Intel, AMD, Arm and Rockchip, with many more platforms supported through FlagOS!

Download, deploy, and build something we haven't imagined yet. 👀👇
🔗 Ggithub.com/OpenBMB/MiniCP…m2QlrvX
🤗 Hugginhuggingface.co/collections/op…5QKGhymw

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Here are the benchmarks. As always, these are numbers... and now it's time to test it on real use c...

Paul Couvert (@itsPaulAi) — Mon, 12 Oct 2026 17:15:05 GMT

Here are the benchmarks.

As always, these are numbers... and now it's time to test it on real use cases.

But Muse Spark 1.3 wasn't benchmaxxed so let's see.

Full details in their blog post: research.meta.ai/blog/muse-wond…

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Wow here we are Meta has just released a model about as strong as Opus 5.5 and GPT-6 Astra 🤯 - 2 ...

Paul Couvert (@itsPaulAi) — Mon, 12 Oct 2026 17:12:50 GMT

Wow here we are

Meta has just released a model about as strong as Opus 5.5 and GPT-6 Astra 🤯

- 2 different versions
- Muse Wonder and Wonder Full
- Very good for agents/coding (see below)

So we now have a new direct competitor to the very best models previously available.

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Local AI is evolving REALLY fast This desktop app is open source (MIT) and compresses the memory a ...

Paul Couvert (@itsPaulAi) — Thu, 08 Oct 2026 22:46:40 GMT

Local AI is evolving REALLY fast

This desktop app is open source (MIT) and compresses the memory a conversation takes by up to 80%!!

And it's not just a chat btw... but a fully agentic setup

You can literally import from Claude Code your:

- skills
- memory
- MCP servers
- chats

If needed you can also call cloud models to plan and delegate the execution to local models.

Available on macOS/Windows/Linux

We're so back!

Atomic Agent@atomicagent_io

Meet Atomic Agent Desktop!

✦ Local AI-first agent for Mac, Windows & Linux
✦ 4x bigger context window on local models with TurboQuant
✦ Atomic Fusion orchestrates cloud and local models to reduce costs

Download Free & Private Agent → https://t.co/295O9ILOgw

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Antigravity is now quite insane You can use Claude Opus 5.5 and Sonnet 5.5 directly inside it... in...

Paul Couvert (@itsPaulAi) — Sat, 03 Oct 2026 20:59:12 GMT

Antigravity is now quite insane

You can use Claude Opus 5.5 and Sonnet 5.5 directly inside it... in addition to Gemini 3.8 Flash.

So basically my workflow is now:

- Opus 5.5 for planning
- Sonnet 5.5 for frontend
- Gemini 3.8 Flash to execute

Everything in the same place and without paying an additional subscription.

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This release will be an earthquake 🤯 Gemini 4 Argon is basically the most powerful model we know t...

Paul Couvert (@itsPaulAi) — Wed, 30 Sep 2026 20:13:03 GMT

This release will be an earthquake 🤯

Gemini 4 Argon is basically the most powerful model we know today!

"We’re going to make it available as soon as we can and as safely as we can.

So hold tight, lots more coming, and you’re going to see us iterating rapidly."

So... it can even still evolve between now and the release!

Looking forward to it.

Google@Google

Today we’re introducing Gemini 4 Argon.

It delivers frontier performance in complex workflows across real-world software engineering, knowledge work, and cybersecurity defense with an industry-leading 1M token output limit.

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Wow this is amazing 🔥 Google is now including Colab inside their Gemini plans... so you have acces...

Paul Couvert (@itsPaulAi) — Tue, 29 Sep 2026 20:52:14 GMT

Wow this is amazing 🔥

Google is now including Colab inside their Gemini plans... so you have access to premium GPUs!!

You can basically:

- Run any open source model
- Even image/audio/video gen
- Fine-tune a lot of OSS models

Everything on an expensive Nvidia GPU without having to rent it or own it. So many possibilities.

Time to build!

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Looks like Manus is back 👀

Paul Couvert (@itsPaulAi) — Mon, 28 Sep 2026 17:54:47 GMT

Looks like Manus is back 👀

Manus@ManusAI

Introducing Manus 2.0

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As always, here are the links: - Space to give it a try on HF: https://t.co/tHaTZbBGYW - AuK model:...

Paul Couvert (@itsPaulAi) — Sat, 26 Sep 2026 21:16:17 GMT

As always, here are the links:

- Space to give it a try on HF: huggingface.co/spaces/tencent…
- AuK model: huggingface.co/tencent/AuK
- AuK Flash: huggingface.co/tencent/AuK-Fl…
- GitHub: github.com/Tencent-Hunyua…

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Friendly reminder that we now have Nano Banana for audio And it's fully open source (models and dem...

Paul Couvert (@itsPaulAi) — Sat, 26 Sep 2026 21:14:34 GMT

Friendly reminder that we now have Nano Banana for audio

And it's fully open source (models and demo on GH/Hugging Face)

You can do basically anything:

- clone a voice in seconds
- edit audio like you edit text
- change the timbre/tone/emotion
- remove any accent
- enhance or isolate voices
- even add cough, laugh, etc.

Tencent has also released a flash variant which is faster and smaller!

Useful for MANY projects.

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Base model weights: https://t.co/xPIBk8w5GK Quantized GGUF: https://t.co/c5xKl8XBvH

Paul Couvert (@itsPaulAi) — Thu, 24 Sep 2026 21:04:34 GMT

Base model weights: huggingface.co/XiaomiMiMo/MiM…

Quantized GGUF: huggingface.co/bartowski/MiMo…

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Wait Xiaomi has also released the best 9B model in the world?! This model is based on Qwen-9B... A...

Paul Couvert (@itsPaulAi) — Thu, 24 Sep 2026 21:03:17 GMT

Wait Xiaomi has also released the best 9B model in the world?!

This model is based on Qwen-9B...

And you can easily run it even on 8GB of memory!

- MIT license
- Multimodal (image + text)
- Solid for coding/agentic tasks

Perfect to use locally and offline... even on a laptop with unified memory!

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10/10 what a masterpiece Worth every single data center

Paul Couvert (@itsPaulAi) — Tue, 22 Sep 2026 18:05:48 GMT

10/10 what a masterpiece

Worth every single data center

MAX@maxxmalist

The race for AGI

Script: Sherpa by Pocket FM
Video: Seedance 2.5

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How?!! Xiaomi has just released their new OPEN SOURCE model MiMo-V2.6-Pro: - multimodal text/image...

Paul Couvert (@itsPaulAi) — Mon, 21 Sep 2026 21:04:12 GMT

How?!!

Xiaomi has just released their new OPEN SOURCE model MiMo-V2.6-Pro:

- multimodal text/image/audio/video
- score ~ same as GPT-5.6-Sol Max
- 9x cheaper input tokens
- 23x cheaper output tokens 💀

Also about 20x cheaper than Opus 5... and the weights are already on Hugging Face.

Hard to see how closed labs will keep up.

Artificial Analysis@ArtificialAnlys

MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier

@Xiaomi has just released MiMo-V2.6-Pro, an open weights model with major advances in intelligence over its predecessor, MiMo-V2.5-Pro (Intelligence Index: 26). Despite the improvement, it retains the same attractive pricing at $0.435 per 1M input tokens (with a 99% cache-hit discount) and $0.87 per 1M output tokens. This makes MiMo-V2.6-Pro one of the most cost-efficient models to deploy.

MiMo-V2.6-Pro is an MoE model with 1.02T total parameters and 42B active parameters. Stay tuned for additional analysis of the model.

Check out MiMo-V2.6-Pro full benchmarking breakdown here: artificialanalysis.ai

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Weights on Hugging Face: https://t.co/IgWH5mbDjq GitHub: https://t.co/jUuKZNCW9I

Paul Couvert (@itsPaulAi) — Sun, 20 Sep 2026 21:08:17 GMT

Weights on Hugging Face: huggingface.co/convaiinnovati…

GitHub: github.com/NandhaKishorM/…

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So we already have an open source alternative similar to Jev... and 50x faster?! Laya is an open so...

Paul Couvert (@itsPaulAi) — Sun, 20 Sep 2026 21:07:06 GMT

So we already have an open source alternative similar to Jev... and 50x faster?!

Laya is an open source classification system:

- runs on less than 1GB memory
- available on hugging face
- can run on any laptop/phone

Quick example where it plays Snake at 60 decisions/sec!

BUT it has some limitations:

1. For now it only has a 1k context so some use cases won't fit

2. It's not as good as Jev when it comes to generalization (but very easy to fine tune it if needed)

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That's crazy when you think about it Qwen 3.8 27B is smarter than Opus 4.6 which was the absolute b...

Paul Couvert (@itsPaulAi) — Fri, 18 Sep 2026 20:55:28 GMT

That's crazy when you think about it

Qwen 3.8 27B is smarter than Opus 4.6 which was the absolute best model you could use 6-7 months ago.

And now we have this Bonsai 2 retaining 98%+ of its intelligence...

While weighing ONLY 5.9 GB 🤯

Intelligence density is absolutely crazy.

Everyone has frontier intelligence at home now.

PrismML@PrismML

Today, we’re announcing Ternary Bonsai 2 27B.

Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.

Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.

Ternary Bonsai 2 27B is available today under Apache 2.0.

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This is the best explanation I've seen of Jev Truly an unlock for A LOT of use cases

Paul Couvert (@itsPaulAi) — Thu, 17 Sep 2026 20:53:11 GMT

This is the best explanation I've seen of Jev

Truly an unlock for A LOT of use cases

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Here's everything you need Free Google Colab: https://t.co/W2N4V2ZlD6 GitHub: https://t.co/NR0qooK...

Paul Couvert (@itsPaulAi) — Wed, 16 Sep 2026 20:56:25 GMT

Here's everything you need

Free Google Colab: colab.research.google.com/github/unsloth…

GitHub: github.com/unslothai/unsl…

Documentation: unsloth.ai/docs/new/studi…

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Friendly reminder that you can fine tune 500+ open source models in a free Google Colab You can eve...

Paul Couvert (@itsPaulAi) — Wed, 16 Sep 2026 20:54:40 GMT

Friendly reminder that you can fine tune 500+ open source models in a free Google Colab

You can even upload PDFs/CSVs and turn them into usable synthetic datasets.

1. Open the Google Colab below
2. Run the blocks to install Unsloth Studio
3. Choose a model
4. Upload a dataset
5. You're good to go!

And you can of course export your model afterwards.

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It has a MCP integration so basically any coding agent will be able to use it (Cursor, Cordex, Antig...

Paul Couvert (@itsPaulAi) — Tue, 15 Sep 2026 20:36:28 GMT

It has a MCP integration so basically any coding agent will be able to use it (Cursor, Cordex, Antigravity, Claude Code, etc.)

Here's the GitHub repo: github.com/google/artemis

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Wow so Google has just open sourced a tool to automate ANY task on mobile ARTEMIS turns prompts int...

Paul Couvert (@itsPaulAi) — Tue, 15 Sep 2026 20:34:59 GMT

Wow so Google has just open sourced a tool to automate ANY task on mobile

ARTEMIS turns prompts into automation:

- 99%+ success rate (!!)
- Integrates w/ Codex, Claude Code, Antigravity
- Automates workflows + captures logs

And the roadmap is VERY interesting:

They want to add an on-device VLM so basically local execution with lightweight edge vision models for privacy-first automation.

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You can use a quantized version if you've a small amount of VRAM/unified memory. Hugging Face: http...

Paul Couvert (@itsPaulAi) — Sun, 13 Sep 2026 19:36:28 GMT

You can use a quantized version if you've a small amount of VRAM/unified memory.

Hugging Face: huggingface.co/HauhauCS/Qwen3…

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Since they want to "pace" models but in reality it seems more like they're trying to stop open sourc...

Paul Couvert (@itsPaulAi) — Sun, 13 Sep 2026 19:35:47 GMT

Since they want to "pace" models but in reality it seems more like they're trying to stop open source...

Do yourself a favor and download this uncensored one asap

And run it locally

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Well it's official Afraid to announce that Muse from Meta is currently the best agent implementatio...

Paul Couvert (@itsPaulAi) — Sat, 12 Sep 2026 15:55:30 GMT

Well it's official

Afraid to announce that Muse from Meta is currently the best agent implementation to date

Stupidly easy, intuitive, powerful, and free.

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Wait Google might have killed 100s of startups You can now turn any Google Sheets into an app and t...

Paul Couvert (@itsPaulAi) — Thu, 10 Sep 2026 20:25:06 GMT

Wait Google might have killed 100s of startups

You can now turn any Google Sheets into an app and the sheet is basically its database 🔥

And it's not just to visualize data but also inputing new things.

Really powerful.

Steps to use it:

1. Click on the Gemini icon on the top right
2. In the settings hit "Create canvas"
3. Describe the app you want

And you're already done.

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Here’re the links: - HuggingFace: https://t.co/LnBEakfI34 - GitHub: https://t.co/U9bCvYES4h - Meshy...

Paul Couvert (@itsPaulAi) — Wed, 09 Sep 2026 17:25:31 GMT

Here’re the links:

- HuggingFace: huggingface.openbmb.cn/model/openbmb/…
- GitHub: github.com/OpenBMB/MiniCPM
- Meshy (RL training framework): github.com/OpenBMB/Meshy
- JustRLII(long-horizonRL): panhaoxuan.notion.site/justrl-ii-scal…

So cool to see that small open source models are becoming this good!

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Ok this small local model is sooo good MiniCPM5-2B has only 2B parameters (!!) and can run agents o...

Paul Couvert (@itsPaulAi) — Wed, 09 Sep 2026 17:24:38 GMT

Ok this small local model is sooo good

MiniCPM5-2B has only 2B parameters (!!) and can run agents on any laptop or even your phone fully offline.

This 100% open source model can perform coding/agentic/tool use tasks and can run on just 2GB RAM!

And it's genuinely good even in Hermes agent! I asked it to:

- Go to Hugging Face 
- Find the Models section 
- Evaluate models across multiple criteria 
- Create a CSV with the top 15

It did it! In the Artificial Analysis Intelligence Index v4.1.1 results cited in the official release, MiniCPM5-2B scores 23 and ranks #1 among open-source models under 4B parameters.

So it's not about the size of the model anymore but way more the density of intelligence:

Researchers from Tsinghua University and ModelBest proposed the “Densing Law”: the maximum capability density of open-source pretrained base models roughly doubled every 3.5 months over the period studied!

And what's also interesting is that OpenBMB's open-source approach goes beyond just releasing model weights with

- Selected training methods
- Agent-related data
- Data refinement resources

Also being opened up, including the RL stack with Meshy + JustRL II.

This model even outperforms some models around 6x larger on selected evaluations such as GDPval-AA v2!

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Still processing this. Might be the end of apps. Most phone launches these days are 90% boring. Bas...

Paul Couvert (@itsPaulAi) — Tue, 08 Sep 2026 19:22:00 GMT

Still processing this. Might be the end of apps.

Most phone launches these days are 90% boring. Basically routine spec bumps with 2 minor changes and that’s it.

This launch from Huawei isn't that.

They are pushing for agents to act across the OS and proactively complete any tasks instead of constantly opening apps and tapping through things

And it combines both local AND cloud models.

Because the next step for agents isn't just making the models smarter...

It's giving them a full operating system, hardware and interfaces that are designed around them from the beginning.

And that seems to be what Huawei is building here.

The hardware is also pretty wild.

The Mate XT 2 moves from the previous Z-fold design to a wing-style tri-fold, while adding a dedicated rigid cover screen.

There's also a hardware-level privacy display on the large inner screen, so people looking from the side can't read what's on it.

But I think the chip is the thing to watch.

A lot of people questioned whether Tau Scaling Law + LogicFolding would actually move from research/thesis into a real consumer product.

(They’ve introduced the (τ) Scaling Law in May as a chip design principle that shifts focus from transistor shrinking (aka Moore's Law) to minimizing signal propagation time and system latency (τ))

But now it has moved to an actual product.

And if Huawei can translate that into better sustained performance, thermals and on-device AI...

This could be much more important than another flagship launch.

We're starting to see phones become hardware built specifically for the agent era.

Not that surprising to be honest since many labs are building their own custom chips to run models but that’s the very first time that we have a consumer product made for this.

You can be sure that the whole industry is going to copy this.

Huawei cooked.

#Huawei#LogicFolding

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Sanctions have strengthened Huawei. Not the opposite. That’s pretty insane when you think about it:...

Paul Couvert (@itsPaulAi) — Tue, 08 Sep 2026 15:02:43 GMT

Sanctions have strengthened Huawei. Not the opposite.

That’s pretty insane when you think about it:

> Huawei can't access EUV
> They’re ditching Moore's Law for their own (τ) scaling law
> A lot of people think that’s just marketing
> Kirin chip is shipped just 4 months later…

And it’s 46% more powerful than previous gen!

That’s very very impressive.

Transistor density jumps roughly 55% and this is the first chip based on the new LogicFolding architecture (rooted in the Tau scaling law/stacking logic layers vertically).

The innovation pace is actually faster than ever. 

Not only that, but it keeps accelerating.

#Huawei#LogicFolding

Huawei@Huawei

Huawei unveils tri-fold Mate XT 2 with Kirin 9050 Pro, the world's first chip with LogicFolding architecture. Executive Director, Chairman of the Investment Review Board & Chairman of the Board of Directors of the Consumer BG, Huawei, Mr. Yu Chengdong shared the chip's strengths.

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How is this even possible?! This new open source model is only 2B parameters and at the same time: ...

Paul Couvert (@itsPaulAi) — Mon, 07 Sep 2026 15:36:43 GMT

How is this even possible?!

This new open source model is only 2B parameters and at the same time:

> better than models 6x bigger

> can run locally and offline on a phone

> optimized for agents/coding/tool use

Hard to realize how the intelligence density has improved when you think about it.

OpenBMB@OpenBMB

🚀 Meet MiniCPM5-2B, a 2B-parameter language model bringing high intelligence density to the edge, now open source!

It ranks #1 among open-source models under 4B parameters on the
@ArtificialAnlys Intelligence Index, with a score of 23.

It also scores 20 on the Agentic Index, bringing an early form of general-purpose agent capability to the edge.

Across 34 benchmarks, MiniCPM5-2B achieves an average score of 53.9, covering coding, math, long-context understanding, tool use, and agentic tasks.

And this release goes beyond the model itself.

We’re opening up the data, training recipes, and RL stack behind MiniCPM5-2B.

🤗 Hugging Facehuggingface.co/openbmb/MiniCP…jq
💻 GitHugithub.com/OpenBMB/MiniCPMv8f
Modelscopmodelscope.cn/models/OpenBMB…zgu
Weopenbmb.cneZL

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1. Go to https://t.co/vsi8UKhfLC 2. Verify your student status 3. Then follow the on-screen instruct...

Paul Couvert (@itsPaulAi) — Sun, 06 Sep 2026 21:14:06 GMT

1. Go to one.google.com/ai-student
2. Verify your student status
3. Then follow the on-screen instructions

Details and availability here: blog.google/innovation-and…

(Not sponso btw)

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Friendly reminder that you can get Google AI Pro for free if you're a student. You have access to: ...

Paul Couvert (@itsPaulAi) — Sun, 06 Sep 2026 21:12:45 GMT

Friendly reminder that you can get Google AI Pro for free if you're a student.

You have access to:

- Gemini NotebookLM with higher limits
- 4x higher usage in Gemini
- Google Drive with 5TB of storage
- Antigravity with higher limits
- Gemini in Gmail, Docs, Sheets, etc.
- YouTube Premium Lite (individual)
- Google Flow/Flow music
- Gemini Spark
- Auto browse in Chrome

And much much more!

Pro plan is available in the US but for eligible college students outside the US, you can get one year of AI Plus!

Details below

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And a final one focused on piano and instruments. You're not limited to the templates btw. You can...

Paul Couvert (@itsPaulAi) — Fri, 04 Sep 2026 17:36:14 GMT

And a final one focused on piano and instruments.

You're not limited to the templates btw.

You can generate tracks in your own style but having the option to directly select presets makes the workflow much easier!

Thanks again to Google for the preview <3

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Here's another track I've generated so you can appreciate the vocal clarity. Not perfect, but alrea...

Paul Couvert (@itsPaulAi) — Fri, 04 Sep 2026 17:33:14 GMT

Here's another track I've generated so you can appreciate the vocal clarity.

Not perfect, but already waaay better than previous generations of models.

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OK finally! Google has just released Lyria 3.5 And it's probably the easiest way to generate tracks...

Paul Couvert (@itsPaulAi) — Fri, 04 Sep 2026 17:31:18 GMT

OK finally! Google has just released Lyria 3.5

And it's probably the easiest way to generate tracks... integrated into Gemini 🔥

I had the chance to give it a try in preview and it's soo good:

- 24 ready-to-use templates
- Full control over the lyrics
- 17 styles

See below for examples (sound on!)

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Most people don't realize the paradigm shift You can now build anything at a fraction of what it wo...

Paul Couvert (@itsPaulAi) — Wed, 02 Sep 2026 20:42:26 GMT

Most people don't realize the paradigm shift

You can now build anything at a fraction of what it would have cost you just 2 months ago.

Replit even has a FREE MODE.

So you can iterate without thinking about token costs and build in the same place.

And when you're building, Replit is automatically choosing the best model for the task... so you're never overpaying for simple things.

Bullish on cost-effective models even more than on the frontier:

1. Token costs are dropping
2. Models are becoming smarter
3. Anyone can automate or build

It's that simple.

#ReplitPartner

Replit ⠕@Replit

The greatest inventions end up in the same place: in ordinary hands, doing extraordinary things.

For 20 years, President & Head of AI Michele Catasta chased this vision. Now, he's built it. This is the story behind Free Mode.

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Gemini 3.8 Flash is a VERY important model Because 3.7 Flash was released just 20 days ago... and w...

Paul Couvert (@itsPaulAi) — Wed, 02 Sep 2026 15:51:34 GMT

Gemini 3.8 Flash is a VERY important model

Because 3.7 Flash was released just 20 days ago... and was a big leap over 3.6 Flash.

This new version is ~ on par with Opus 5 and GPT-5.6 Sol while being:

- 6x CHEAPER than Claude Opus 5
- 5x CHEAPER than GPT-5.6 Sol

Yes 🤯

That's why Flash models don't mean "weak" ones anymore but just fast and less expensive while being at the frontier.

Incredible release.

Google@Google

Introducing Gemini 3.8, our best reasoning & coding model yet.

By leveraging long-running agentic loops, we’re building on the momentum of 3.7 Flash from just three weeks ago to release two new 3.8 variants:

Meet Gemini 3.8 Flash and Gemini 3.8 Flash Cyber 🧵

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How is this even possible?! - Input: $0.15 - Output: $0.50 - Cached input: $0.03 "At a highly comp...

Paul Couvert (@itsPaulAi) — Wed, 26 Aug 2026 14:32:40 GMT

How is this even possible?!

- Input: $0.15
- Output: $0.50
- Cached input: $0.03

"At a highly competitive price"

No you've basically destroyed the competition.

This level of performance at this price is unbelievable. And it's OPEN WEIGHT under MIT license.

GLM-5.3-Flash is just going to be the default choice for most of the tasks and projects.

Z.ai@Zai_org

Introducing GLM-5.3-Flash

- Leading capabilities at a highly competitive price
- Natively multimodal with a 1M-token context window
- A 320B-A18B model released under the MIT License
- Previously previewed as Ox Alpha, running entirely on Chinese AI chips

Blog: z.ai/blog/glm-5.3-f…

Available now across all official platforms:

Weights: huggingface.co/zai-org/GLM-5.…
API: docs.z.ai/guides/llm/glm…
Coding Plan: z.ai/subscribe
ZCode: zcode.z.ai/en
Chat: chat.z.ai
AutoClaw: autoclaw.z.ai

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That's absolutely massive You remember how big the DeepSeek V4 Flash release was? Because of the pr...

Paul Couvert (@itsPaulAi) — Wed, 26 Aug 2026 13:01:43 GMT

That's absolutely massive

You remember how big the DeepSeek V4 Flash release was? Because of the price/performance ratio?

Qwen3.8-Flash is just way better, even cheaper... and open weight!!

BETTER than DeepSeek V4 Flash
BETTER than Claude Opus 4.6 Max

But way cheaper because of the new architecture they're using.

This release is incredible. Open weight models are winning!

Qwen@Alibaba_Qwen

⚡Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight!

The production version Qwen3.8-Flash will be available soon via QwenCloud API at just $ 0.16/1M input tokens and $ 0.47/1M output tokens.

125B parameters + 51B N-gram embeddings, with just 6B activated per token. Unmatched cost-efficiency.

What's new: 🥳
- Next architecture: GDN + QSA hybrid attention, Gated Residual, N-gram Embedding & Muon optimizer, serving as a precursor to the architecture used in Qwen4.
- Dramatically lower training and inference costs: trained at just 1/9 the cost of Qwen3.7-Plus, while outperforming it across the board with especially strong gains in coding and office tasks.
- Strong performance: scoring 58.7 on DeepSWE 1.1, 62.5 on SWE-bench Pro, 73.9 on CoWorkBench, 84.5 on AndroidWorld, and 95.7 on MathVision (with CI).
- 262K native context, extensible to 1M with YaRN.

We’re also releasing the weights for Qwen3.8-Flash-Next, giving the community an early look at the new architecture we’re exploring for Qwen4.🚀

We can't wait to see what you build with Qwen3.8-Flash!👀👇
- Blqwen.ai/blog?id=qwen3.…FLgJ
- Technical Repogithub.com/QwenLM/Qwen3.8…IkQO
- Hugging Fahuggingface.co/Qwen/Qwen3.8-F…AABt
- ModelScomodelscope.cn/models/Qwen/Qw…NuFG

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Gemini 3.7 Flash is the most underrated model rn This thing isn't the best on benchmarks but so fa...

Paul Couvert (@itsPaulAi) — Fri, 21 Aug 2026 22:07:46 GMT

Gemini 3.7 Flash is the most underrated model rn

​This thing isn't the best on benchmarks but so far it has been very capable, cheap, and fast.

​It's also probably the most versatile model available:

​Good enough for frontend work and it can handle basically any agentic/coding task I throw at it.

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Time to give it a shot (if you have never tried it!): https://t.co/BHgQ5SU7HD

Paul Couvert (@itsPaulAi) — Wed, 19 Aug 2026 16:16:20 GMT

Time to give it a shot (if you have never tried it!): replit.com/refer/couvertp…

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So yeah. We're entering a new era. Models are becoming so efficient that you can now build/create t...

Paul Couvert (@itsPaulAi) — Wed, 19 Aug 2026 16:12:23 GMT

So yeah. We're entering a new era.

Models are becoming so efficient that you can now build/create things for free. Literally.

This was unthinkable just a month back!!

But now Replit has a (surprisingly) powerful free mode to iterate on any project.

#ReplitPartner

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Replit ⠕@Replit

Replit Free Mode, powered by @OpenAI GPT-5.6 Luna. 

Let’s make intelligence accessible to everyone.

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I don't know if people realize Qwen 3.8 27B has landed at a 52 score on artificial analysis... that...

Paul Couvert (@itsPaulAi) — Mon, 17 Aug 2026 19:59:17 GMT

I don't know if people realize

Qwen 3.8 27B has landed at a 52 score on artificial analysis... that's massive!!

This is the very first time a model that you can run LOCALLY ON YOUR LAPTOP is basically on par with the best ones.

We've reached the point where local (and open weights!) models are capable enough to perform most everyday tasks.

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I can't believe it Qwen3.8-27B is matching Opus 4.6 Max... the model that was the best (and the mos...

Paul Couvert (@itsPaulAi) — Fri, 14 Aug 2026 15:12:33 GMT

I can't believe it

Qwen3.8-27B is matching Opus 4.6 Max... the model that was the best (and the most expensive) just 6 months ago.

And you can run it on your laptop. Locally.

Fully open weights and under apache license.

This level of intelligence in such a small model is sooo impressive.

Qwen@Alibaba_Qwen

We promised open weights for Qwen3.8. Now, time to meet them! 🎉

⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.

🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.

Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!

Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Fahuggingface.co/collections/Qw…YEVj
- ModelScomodelscope.cn/collections/Qw…GkhC

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Wait Google has released Gemini 3.7 Flash... and it's actually good?! This is one of the most effic...

Paul Couvert (@itsPaulAi) — Thu, 13 Aug 2026 17:33:10 GMT

Wait Google has released Gemini 3.7 Flash... and it's actually good?!

This is one of the most efficient models at this intelligence level.

- Better than Sonnet 5/GPT-5.6 Terra/Muse Spark 1.2
- 2x cheaper than 3.6 Flash (through end of year at least)
- Already in AI Studio, Antigravity, etc.

Only GPT-5.6 Luna Max seems even more efficient (in a league of its own tbh) but it's not as good for frontend tasks, for example.

Pretty good release!

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