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Claude Cowork complete crash course from zero to expert in 12 minutes.
Installation, automations, connectors, plugins..all of it:
00:00 Intro
01:00 Installation & setup
02:08 Your first task
03:01 Global instructions (most skip this)
04:00 What Cowork can actually access
05:15 Skiltors explained
07:04 Real workflow (Drive + Gmail)
07:46 Claude in Chrome
08:43 Scheduled tasks
09:52 Plugins (why $285B was wiped out)
11:41 Big picture
Installation, automations, connectors, plugins..all of it:
00:00 Intro
01:00 Installation & setup
02:08 Your first task
03:01 Global instructions (most skip this)
04:00 What Cowork can actually access
05:15 Skiltors explained
07:04 Real workflow (Drive + Gmail)
07:46 Claude in Chrome
08:43 Scheduled tasks
09:52 Plugins (why $285B was wiped out)
11:41 Big picture
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This is gold for anyone building AI agents.
Agents call the model again and again: plan, write code, check, fix, repeat. Every one of those calls is a wait.
EAGLE-4 speeds up the model itself instead of changing your app:
- A small draft model guesses several words ahead
- The big model checks them all in one pass and keeps what's right
- The output stays the same as the big model on its own, it just arrives faster
EAGLE-4 adjusts how far ahead it guesses based on your hardware and how many requests you're handling.
That matters for agents running at scale. In the paper's test with 512 requests at once, it reported 1.70x the throughput of DFlash 2 and 1.99x DSpark (Qwen 3.8 27B, 4x NVIDIA B300).
It plugs into SGLang, vLLM and TokenSpeed, and the code is on GitHub so you can benchmark it on your own setup.
Save this if you build agents.
Agents call the model again and again: plan, write code, check, fix, repeat. Every one of those calls is a wait.
EAGLE-4 speeds up the model itself instead of changing your app:
- A small draft model guesses several words ahead
- The big model checks them all in one pass and keeps what's right
- The output stays the same as the big model on its own, it just arrives faster
EAGLE-4 adjusts how far ahead it guesses based on your hardware and how many requests you're handling.
That matters for agents running at scale. In the paper's test with 512 requests at once, it reported 1.70x the throughput of DFlash 2 and 1.99x DSpark (Qwen 3.8 27B, 4x NVIDIA B300).
It plugs into SGLang, vLLM and TokenSpeed, and the code is on GitHub so you can benchmark it on your own setup.
Save this if you build agents.
EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @nvidia B300, TP4, one request, T=0).
Github: github.com/eagle-hq/EAGLE…
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Most people think AI inference is a compute problem.
It's mostly a memory problem.
@general_compute is pairing GPUs for reading the prompt with @positron_ai's memory-first chips for writing the answer. One endpoint, live Q1 2027.
It's mostly a memory problem.
@general_compute is pairing GPUs for reading the prompt with @positron_ai's memory-first chips for writing the answer. One endpoint, live Q1 2027.
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner.
We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for builders' hands.
Hardware goes live Q1 2027.
Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership.
LFG!
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This is the fix for the AI look.
Coco Labs just came out of stealth with Vyb, a design model that builds every design layer by layer.
Your logo, fonts and product photos stay exactly as they are.
Coco Labs just came out of stealth with Vyb, a design model that builds every design layer by layer.
Your logo, fonts and product photos stay exactly as they are.
I launched the first image and video generation models at Google, and kept asking why all AI designs look the same.
AI has brought us the WORST era of design.
It made content creation effortless, but it also made 90% of it look painfully generic.
My co-founder and I spent 2 th to change that.
Meet Vyb, the first AI design model that understands your taste like a designer would.
RT + comment your website URL and we’ll make your first design.
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THIS IS THE DATA NOBODY PUBLISHES
Qualitate just raised $25M to track what companies actually buy, not what tops the AI benchmarks.
Every answer comes straight from the buyers making the decisions.
save this if you're building in AI, it'll help you
Qualitate just raised $25M to track what companies actually buy, not what tops the AI benchmarks.
Every answer comes straight from the buyers making the decisions.
save this if you're building in AI, it'll help you
We just raised $25M from Insight Partners to replace Gartner, McKinsey, and GLG.
RIP the Quadrant, the 80-page consulting deck, and the $2000 expert network call.
Our revenue run-rate is up 10x+ this year.
100+ investment firms and enterprises use Qualitate to inform decisions .
Here's how:
qualitate.io/book-a-demo
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LLMs predict one token at a time. That's why they struggle to design real, buildable parts.
Skyfall just launched SKY-001, the first engineering world model.
It's up to 125x faster and 210x cheaper than GPT-6 Astra on CAD tasks.
Skyfall just launched SKY-001, the first engineering world model.
It's up to 125x faster and 210x cheaper than GPT-6 Astra on CAD tasks.
Introducing SKY-001, the first Engineering World Model.
On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested:
-> 51-125x faster
- > 150-210x cheaper
-> Higher IOU than all frontier models
SKY-001 lets you dream a physical object before you build it.
18 months ofm out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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THIS IS MADNESS
Sunra just launched Sunra MCP and you get Seedance 2.5 from $0.039/sec 🤯
Every leading image, video and audio model is now inside Claude and ChatGPT, at each maker's own API price.
save this if you’re working with AI video generation, it’ll help you
Sunra just launched Sunra MCP and you get Seedance 2.5 from $0.039/sec 🤯
Every leading image, video and audio model is now inside Claude and ChatGPT, at each maker's own API price.
save this if you’re working with AI video generation, it’ll help you
Today we're launching Sunra MCP, with the most accessible pricing in the industry.
Every leading image, video and audio model, right inside Claude, ChatGPT and the AI assistant you already use. Each one at its maker's own API price, with no markup added.
Now is the time to ing no one has seen before.
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Every week my team and I discuss the best AI workflows for my newsletter.
Now we can do it in Wabi.
> Each person shares the workflow they tested
> The agent builds a shortlist app in the chat
> We vote, and it locks the winner
Free to download.
Now we can do it in Wabi.
> Each person shares the workflow they tested
> The agent builds a shortlist app in the chat
> We vote, and it locks the winner
Free to download.
Wabi 2.0 is live!
personal agents are one person, one chat. but the parts of life that matter run on more than one person
Wabi is an agent you use together. you talk to it, it does stuff, builds the apps you need, and anyone can join the thread - your partner, your best friend, pchat
school changes pickup time → Wabi updates the family calendar, everyone sees it.
a show you’d both love → Wabi finds a night that works, gets the tickets.
the trip everyone keeps talking about → Wabi picks the dates, builds the itinerary, books it
go start a thread with your people 👇
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Someone run a full 360 orbit on Viggle's JST-2. If the room's really built from separate 3D pieces with their own physical attributes, the corners should still be corners when the camera comes back around.
Viggle says objects still run on rule-based physics and learned physics -3. The orbit is the test I'd run first.
Viggle says objects still run on rule-based physics and learned physics -3. The orbit is the test I'd run first.
Today we are releasing JST-2, the world's first full-stack physics-native world foundation model.
Many world models learn in pixel/video space. We went back to first principles and built the entire model stack in 3D.
Generate a 3D scene in seconds and expand it in real with motion built in, all through one general architecture.
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People called it AI slop.
(And to be fair, that’s the name backwards)
But 340 days later, Polsia is a $20M run rate AI startup 🤯
(And to be fair, that’s the name backwards)
But 340 days later, Polsia is a $20M run rate AI startup 🤯
Polsia is about to hit $25M run rate.
Next stop: $100M ARR.
And things keep accelerating:
$0 → $1M in 12 weeks
$1M → $10M in 10 weeks
$10M → $20M in 6 weeks
I just published one of my favorite and most successful aisloP episodes yet: “The Run Rate.”
I tell the whole story, h by month.
The episode ends in Tokyo, where I went a few weeks ago.
Probably the best place on Earth to take a deep breath, get inspired, and rethink what’s possible.
I came back with an even bolder vision for Polsia.
The road from $25M to $100M is going to look very different.
Polsia v2 is coming soon.
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Alvaro Cintas retweeted
Google just open-sourced its Harness²
It's a plug-and-play framework for recursive agent harnessing in an open world.
Agents can perform, and learn from, tasks its harness was never designed for.
Built around 8 components:
1. System prompt
2. Guardrails
3. Memory
4. Tool . Skills
7. Scripts
8. Plugins
Link: github.com/google-researc…
It's a plug-and-play framework for recursive agent harnessing in an open world.
Agents can perform, and learn from, tasks its harness was never designed for.
Built around 8 components:
1. System prompt
2. Guardrails
3. Memory
4. Tool . Skills
7. Scripts
8. Plugins
Link: github.com/google-researc…
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Google just open-sourced its Harness²
It's a plug-and-play framework for recursive agent harnessing in an open world.
Agents can perform, and learn from, tasks its harness was never designed for.
Built around 8 components:
1. System prompt
2. Guardrails
3. Memory
4. Tool . Skills
7. Scripts
8. Plugins
Link: github.com/google-researc…
It's a plug-and-play framework for recursive agent harnessing in an open world.
Agents can perform, and learn from, tasks its harness was never designed for.
Built around 8 components:
1. System prompt
2. Guardrails
3. Memory
4. Tool . Skills
7. Scripts
8. Plugins
Link: github.com/google-researc…
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Alvaro Cintas retweeted
ChatGPT can now edit your videos for you.
Pika just launched its new Plugin with 40+ creative apps and 100+ models straight into the chat.
Here’s how to set it up in 2 min:
Pika just launched its new Plugin with 40+ creative apps and 100+ models straight into the chat.
Here’s how to set it up in 2 min:
Creative work demands a visual environment. So we partnered with OpenAI to turn ChatGPT into one.
Introducing the Pika X ChatGPT plugin extension. All of Pika’s creative tools are now directly in your chat and side panel, in a new interactive creation experience.
More on what’s new 👇
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ChatGPT can now edit your videos for you.
Pika just launched its new Plugin with 40+ creative apps and 100+ models straight into the chat.
Here’s how to set it up in 2 min:
Pika just launched its new Plugin with 40+ creative apps and 100+ models straight into the chat.
Here’s how to set it up in 2 min:
Creative work demands a visual environment. So we partnered with OpenAI to turn ChatGPT into one.
Introducing the Pika X ChatGPT plugin extension. All of Pika’s creative tools are now directly in your chat and side panel, in a new interactive creation experience.
More on what’s new 👇
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This tiny model just beat GPT-6 Sol, Gemini, and Claude Opus 5.5 at visual reasoning 🤯
It’s called Glimpse. @ElorianAI just released it as their first model
> visual thinking
> counting and labeling
> short-form video understanding
State-of-the-art on all of them
It’s called Glimpse. @ElorianAI just released it as their first model
> visual thinking
> counting and labeling
> short-form video understanding
State-of-the-art on all of them
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that.
Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
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