I’d love to run more of my coding workflow on hardware I control
Flint from @Recursive_SI brings local coding with open weights under Apache 2.0
A small team built it from scratch in under four months working with Eureka Machine
As someone working in AI I love seeing automated research become something developers can download adapt and build around
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Give your software a messy life before it meets its first real user
@brekenai builds that world around real code to find and fix production bugs
This is the kind of AI engineering I’m here for
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
1/ Today we're introducing Breken, and with it the final job in software: production engineering.
Your tests check what your team thought of. Production checks everything else. Today, your users run that second test for you.
Breken runs it instead. Your real software, in worlds that behave like production, down to the chaos and the users, finding and fixing what breaks before a single user does.
Here it is: breken.ai
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration?
DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it.
That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders.
With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets.
openai.com/index/scaling-ai-…
Ella retweeted
🔹 AML4Tracker is finally live!
💰 Understand crypto wallet risk with AML screening, risk reports and practical source backed guides
🔗 Explore: aml4tracker.com
🔗 Learn: learn.aml4tracker.com
#AML
The side by side comparison got my attention
EAGLE-4 from @EagleCorp adapts speculative decoding to batch size hardware and workload
I’d love to see what that means for a full agent run
github.com/eagle-hq/EAGLE-4
🤝 Paid partnership
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-4
Ella retweeted
AI GAVE EVERY BRAND THE SAME DESIGN PERSONALITY.
Vyb is pushing in the opposite direction.
It starts from what makes a brand recognizable: its actual logo, typography, colors and product photos.
Then it builds an editable design around them.
That's the right idea!
🤝 Paid partnership
Every brand has its own identity
AI graphics should bring it to life
Vyb from @cocoailabs builds with real brand assets and editable layers
This demo takes a sandal ad into Figma then adjusts the product photo shadow
That editable handoff is what interests me
I care about how fast an AI agent finishes a task
GPUs for prefill and memory first chips for decode
That split is what caught my eye
@general_compute is buying Atlas from @positron_ai and has committed to Titan next
Atlas access through General Compute starts Q1 2027
🤝 Paid partnership
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 opensource models into builders' hands.
Hardware goes live Q1 2027.
Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership.
LFG!
Every brand has its own identity
AI graphics should bring it to life
Vyb from @cocoailabs builds with real brand assets and editable layers
This demo takes a sandal ad into Figma then adjusts the product photo shadow
That editable handoff is what interests me
🤝 Paid partnership
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 years building in stealth 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.
The little wipe and that face
Voxel already has so much personality
As someone working in AI I love seeing @roboticscorp and @makerobotgo care about the experience of living with a robot
Shipping planned for 2028
Reserve Series-1
tuesdaylabs.com/reserve
🤝 Paid partnership
Friday me would love this
ChatGPT team tasks can pull together what shipped and what needs attention every week with the whole team shaping the next update
I’d happily give the weekly recap its own schedule and keep building 🤍
Ella retweeted
You can now automate recurring engineering work with team tasks in ChatGPT, like pulling together what shipped and what’s blocked every Friday.
Your teammates can review the results and change what the next update covers, so you don’t have to maintain it on your own.
Shipping faster is fun until the bugs ship faster too
Claude Code Review is out of preview for Team & Enterprise with automatic reviews on new GitHub PRs once enabled
I’d use it as a second pair of eyes.
What do you always check yourself?
AI that breaks a design down to the screws?
I'm listening
SKY-001 from @skyfallai built by a team with Maluuba roots is called the first Engineering World Model toward autonomous manufacturing
@spisallyouneed reports CAD & BIM runs 51-125x faster and 150-210x cheaper than tested frontier models like GPT6 Astra
🤝 Paid partnership
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 of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
GPT-Rosalind is built to support that work: helping researchers reason across scientific literature and biological data, with scientists bringing the expertise and judgment to evaluate the evidence.
Eligible labs can receive up to 12 months of sponsored access to OpenAI tools, with GPT-Rosalind access subject to trusted-access approval.
Research data shared through the Rosalind Academic Plan is not used to train our models by default.
We're expanding access to GPT-Rosalind for academic research.
The new Rosalind Academic Plan helps scientific labs bring AI into the work of understanding biology, exploring ideas, and deciding what to test next—with sponsored access for eligible labs at U.S. universities.
Academic research starts with questions whose impact may take years to impact human health.
GPT-6 Astra Pro in ChatGPT got an upgrade with faster responses and improved use of plugins and tools.
And now, multiple agents can tackle different parts of a task in parallel. You can follow each agent’s progress and open completed tasks to review their work.
Now available to Pro users in the Chat tab.





















