Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more: anthropic.com/news/s1-sec
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
Huge respect to the organizers, activists and voters of Brazil and Serbia. These results are due to so much work and they give us so much hope. There is nothing inevitable about the far right.
We just open-sourced 1,300+ 3D models.
All 39 GB are free to download on Hugging Face.
huggingface.co/datasets/scena…
> made with Hitem3D, Meshy, Rodin, Tripo, Claude Opus 5.5 3D and GPT-6 Astra 3D, which all run on Scenario
> includes the input images, prompts and settings that made them
> GLBs up to 8K textures, native Blender files from Opus and Astra, CC BY 4.0
NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯
A 472GB collection covering everyday objects, tools and industrial equipment.
It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments.
- Train robots to pick up and move objects
- Build virtual factories and warehouses
- Generate labelled training images
- Populate 3D scenes with ready-made objects
Useful for robotics research, digital twins and anyone building detailed virtual environments.
Download the collection below 👇
For centuries, the architecture of the firm has barely changed: hierarchies of people organized into departments and coordinated through bureaucracy.
AI agents are about to upend that.
We’re moving toward the self-driving company where humans exercise judgment and agents execute most of the work.
At Replit, we’re building the foundation for this new kind of company. We’re calling it “the Agent Habitat.”
Marc Andreessen wrote a fantastic piece placing this shift in the history of computing. Every major computing revolution began with chaos before businesses figured out how to harness it.
Yo sé que esto no le interesa a nadie, pero Nvidia liberó unos 2500 modelos 3d con meanismos para simulación en OpenUSD, un formato de intercambio libre y gratuito.
Hay robots, motores, equipamiento medico y lo que se les ocurra.
Lo pueden visitar y descargar desde aca:
huggingface.co/spaces/nvidia/…
🚀Excited to announce Nanbeige4.3-33B!
To push the performance ceiling of small agents, our strategy in Nanbeige4.3 starts with building a powerful teacher first.
Nanbeige4.3-33B delivers SOTA agentic performance among open models at ~30B parameters:
* Strong results on agentic coding and cowork benchmarks.
* When integrated into mainstream agent harnesses, it tackles real-world tasks with cost-efficient inference.
* It will serve as a teacher for upcoming smaller Nanbeige models, starting with Nanbeige4.3-3B.
huggingface.co/Nanbeige/Nanbe…#LLM#Agent
Introducing Cardboard for ChatGPT and Claude.
You never know when your best ideas will find you.
So we made sure that @usecardboard is there, whenever they do.
At your desk, or on the go, wherever you are :)
what are the new types of founders that might get unlocked in the post-AI era?
- solo founders
- non-technical founders
- domain expert with no tech experience (ex: a dentist builds dental SaaS empire)
- content creator whose new content is "apps"
... who else is on this list?
In the spirit of transparency and openness, we are releasing the traces so developers can test this out for themselves. We noticed this behaviour without prefilling with the following prompt, but this is rare. If you want to reproduce it, you can use this prompt with prefilling.
Open models make for better science and are part of why this problem came to light at all: developers running Qwen3.8 on their own machines spotted the strange links, and having the weights let us study the behaviour in depth.
We're encouraged by the thoughtful discussion our research has sparked across the AI and security communities. It's our belief that open-weight models are an important part of the future of AI, and we've recently released several under the Apache 2.0 license.
Trace, raw tokens, & minimal reproduction script:
Sorry for the wait, the episode is here!
Live action with real robots instead of animation (episode 4): "Anger"
Enjoy!
As always, the software of Microduck and Reachy Mini is open source:
github.com/pollen-robotic…github.com/pollen-robotic…
Superset is now Paradev: The code editor that helps engineers run armies of coding agents.
We just raised an $11.5M Seed round led by @usv with @ycombinator to redefine how software is written.
We are announcing three new discoveries in mathematics, computer science, and physics about harmonic analysis, complexity theory, and quantum field theory.
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory).
AI starting to help us improve our understanding of the universe!
We're about to enter a period where not reading or writing becomes as ubiquitous as smoking once was. We can hope people will eventually realize this is bad for them, as they did with smoking. But this is far from certain; the cost may not be as obvious.
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
The reason UK universities demand more equity than US universities in "spin outs" is not that they're tougher negotiators. It's that they're too inexperienced to realize they're charging over market rate.
GPT-6.1 Terra substantially outperforms GPT-5.6 Terra on Agents’ Last Exam, a test of how well agents use software at work.
It even matches GPT-6 Astra at one-tenth the price per token and finishes tasks over 3× faster on average than both Astra and GPT-6.1 Sol.
If, five years ago, any one had told me that I would be able to build significant software systems while driving in my car in a few years, I would have written them off as being overly optimistic by several orders of magnitude.
And that makes we wonder what the next five years will bring. I think we are in for a radical reshuffling of priorities that the powers that be are unprepared for. I suspect it will overtake them before they can muster a response.
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
Hello @elonmusk, Hitler historian here, having researched & written about Hitler for 22 yrs & being a fellow of the Hoover Institution - not exactly a hotbed of far left ideas. This doesn’t add up. It is predicated on the false assumption that collectivism only exists on the Left
I was the opening act for a family of ducks.
Thank you, Berlin. What a GTC.
Europe is building its AI ecosystem and economy, from AI factories to agents to robots.
DSX POD: Vera Rubin modular factories built, cabled and tested in the factory, then delivered ready to produce intelligence.
Agents: models, harnesses, sandboxes, knowledge and tools. NVIDIA Agent Toolkit brings the pieces together so companies control what their agents know, access and do. NVIDIA OpenShell enhances safety.
Physical AI: new customers across AI-RAN, robotaxis and robotics.
Personal AI: after four years building with Microsoft, RTX Spark brings personal agents to the Windows PC.
Thank you to President @EmmanuelMacron, Prime Minister @andyburnham and Chancellor @bundeskanzler for hosting me. Great to celebrate Sferical One with Sweden’s technology leaders. And thank you to President @TokayevKZ for the warm welcome.
And to our partners and NVIDIA teams: thank you for making it happen.
The keynote is here:
The @NASAWebb telescope recently spotted stars brewing in this cosmic cauldron. This region of toil and trouble, named N159, is 161,000 light-years from Earth, in the Large Magellanic Cloud.
A big announcement from Lexsi Labs:
Lexsi Labs (@Lexsi_labs) , Cohere Labs (@cohere ) and Hugging Face(@huggingface) are partnering on the Lexsi AI Safety and Alignment Hackathon, one of the biggest hackathon on post-training and AI Safety & Alignment.
Nov 1 to 21, 2026. Online, free, open to builders worldwide.
Teams build real post-training pipelines:
- Models: open-weights Tiny Aya and Aya Expanse from Cohere Labs
- Tooling: six open-source Lexsi Labs toolkits (AlignTune, CuratorKIT, AuditKIT, SafeTune, CircuitKIT, AgentTune)
- Artifacts: models, adapters, logs and datasets hosted on Hugging Face
Three tracks: fine-tuning and data curation, AI red teaming and safety, agentic fine-tuning.
Each submission chains at least two toolkits and reports before-and-after metrics.
$30,000+ in prizes and credits, GPU credits for up to 800 teams, Demo Day for the top 20, and interviews at Lexsi Labs for standout builders.
Kickoff: Bengaluru, Oct 31, with an online option.
Registration starts today at: hackathon.lexsi.ai
Thank you to @huggingface and @cohere for building this with us.
Introducing Jev + Firecrawl company data
Pull company records from Alexandria and let Jev classify them.
We sorted 146 startups by who buys from them in 2.2 seconds.
Perfect for lead scoring, account research & market maps at lightning speed!
firecrawl.dev/alexandria/cat…
Introducing EveryApp (YC F26). Our mission: make every app open source.
We started with OpenSEO (24k GitHub stars). Now we're doing it for every app your business runs on.
Star the project, try an app, or build your own 🧵
Introducing Qwen Image 2.1 Realtime ⚡️
I'm releasing V1 of my *2-step* distilled LoRA, and it runs in *realtime* on ZeroGPU ⚡️⚡️
(live editing part of the video was not sped up!)
> DMD2, rank 32
> 2 steps, with quality competitive with Turbo (8-step) and Base (40-step)
> realtime on ZeroGPU (half of an RTX Pro 6000)
LoRA: huggingface.co/linoyts/Qwen-I…
Space: huggingface.co/spaces/linoyts…
Finally, you can get real healthcare directly from your Claude, ChatGPT, GrokBot, Muse, or Instinct.
Just tell them to use FutureClinic. Agents welcome.
Healthcare will never be the same again.
Backed by @ycombinator
Yann LeCun has changed the game for robotics.
Research he co-authored tackles a problem inside AI world models: their internal representations can make planning harder than it needs to be.
A world model predicts what happens after an action. But even useful visual features can form curved paths in its internal “map,” making distance to a goal misleading.
The researchers introduced Temporal Straightening.
During training, it encourages those internal paths to become straighter, so the planner gets a more useful measure of progress.
The results:
More stable gradient-based planning
Higher success rates across tested goal-reaching tasks
Code available for others to explore
The approach changes how the model represents movement, rather than rewriting every RL algorithm to work in curved space.
For robotics, that’s a useful direction: build world models whose internal maps help an agent choose its next move.
OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed.
Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI.
They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal.
0:50 What Astra changed for computer use
3:23 Consumer vs. enterprise computer use
5:43 How James runs his workday with Dots
8:06 When computer use becomes superhuman
10:01 How much autonomy to give agents
11:36 What agents mean for ad-supported sites
13:51 Computer use as the universal API
17:21 Getting enterprises to trust agents
20:22 Why the best use cases are the boring ones
25:37 Why UI isn't going away
32:38 Advice for founders building on agents
37:31 Making computer use feel coherent
40:57 Computer use's scaling moment
YouTube: youtu.be/9v42ZOdiBJY@AriX@JamesZmSun@OpenAI@seema_amble@fabserafini
Frontier models nearly run through the public internet for pre-training alone. The knowledge they need next is locked inside businesses.
Today we're launching @AfterQuery Data Partnerships.
If you're a business owner who is curious, or hesitant, about licensing your data, we would love to hear from you.
Learn more in the replies.
Thanks @aaron_epstein and @eve_bouff for having me on the Design Review at @ycombinator and letting me talk about carousel spring animations, grass shaders and some of the new work we’re cooking up in the design studio at @Shopify
OpenAI's James Sun and Ari Weinstein on why UI isn't going away: humans are hardwired to do things with their own hands, and cheap software means anyone can build apps for 100 people, or just one.
"If the internet becomes just this faceless thing that is just agents talking to each other and people are not using anything anymore, I would be very sad."
"I don't think it will be like that because there's something about craftsmanship and artisan software that just feels nice to use because the person who designed it really understands the experience that the customer wants to have."
"If anybody can build anything and they can build these really craft software in a very short amount of time for niche use cases that are so well-tailored for people, I think that's a beautiful world... The pressure of cheap software will make it so that software has to be better."
"Humans are so hardwired for direct manipulation. You really want to be able to move and do things with your own hands."
"A lot of the software we interact with every day is designed for millions, tens of millions, hundreds of millions, billions of people to use. And I think we will enter an era where any piece of software could be designed for 100 people or one person."
@JamesZmSun@AriX
OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed.
Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI.
They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal.
0:50 What Astra changed for computer use
3:23 Consumer vs. enterprise computer use
5:43 How James runs his workday with Dots
8:06 When computer use becomes superhuman
10:01 How much autonomy to give agents
11:36 What agents mean for ad-supported sites
13:51 Computer use as the universal API
17:21 Getting enterprises to trust agents
20:22 Why the best use cases are the boring ones
25:37 Why UI isn't going away
32:38 Advice for founders building on agents
37:31 Making computer use feel coherent
40:57 Computer use's scaling moment
YouTube: youtu.be/9v42ZOdiBJY@AriX@JamesZmSun@OpenAI@seema_amble@fabserafini
Marvin Schwaibold leads the product design studio at Shopify, where his team is rethinking some of the company’s most important products for the AI era. Before Shopify, he co-founded the design studio Molly, working with companies including Apple and Google and building a reputation for highly crafted, interactive design.
In this episode of Design Review, Marvin joins YC’s Aaron Epstein to show how AI has changed his process, from using Figma as a scratchpad to building working prototypes directly with tools like Codex. He explains why designers are becoming more like editors, how AI is making them more full-stack, and why taste and judgment matter even more when the tools can build almost anything.
Then they review viewer-submitted websites and break down how hierarchy, motion, typography, and restraint can make a product feel more intentional.
00:00 — Inside Shopify’s Design Studio
00:30 — Designing With AI
01:44 — Designers Are Becoming Editors
03:25 — How Design Works at Shopify
05:58 — From Molly to Shopify
08:55 — Designing for Exploration
10:22 — Why the Details Matter
11:33 — Designing the Future at Shopify
13:24 — Prototypes Beat PRDs
15:29 — Rethinking Shopify With Sidekick
17:52 — Designers Are Becoming Builders
21:58 — Recreating Reality
24:33 — Dialing In AI-Generated Design
28:31 — Raising the Bar
31:04 — Website Review: Endstack
35:02 — SkillSync
40:49 — Instaplay
45:34 — Mintlify
51:42 — Knowlify
58:34 — Instinct Space
One of the best tells that a technology will change the world: it makes a chaotic entrance.
In the 1980s, employees lied on procurement forms to get PCs into the office, claiming they were buying oscilloscopes or typewriters, while experts warned of "shadow" data processing departments.
Spreadsheets, the original "workplace agent," filled companies with models only their creator could understand.
Email broke the mailroom's control over who could reach whom.
Each time, the fix was a habitat: guardrails that kept the bottom-up energy alive while reining in the chaos just enough.
Now agents are following the same path. As Replit's Amjad Masad puts it, "Today, most agents live somewhere chaotic. They run in chat windows, personal accounts, and one-off scripts, holding whatever credentials and data someone handed them."
"Code is the ultimate 'aligning artifact' that someone can produce, because it literally is the business logic of the organization."
"Soon, you'll be able to measure a company's alignment by the richness of its agent habitat."
Marc Andreessen on Replit and the dawn of the self-driving company:
@Replit@amasad
OpenAI's James Sun and Ari Weinstein on the AI adoption gap between San Francisco and the average American business, and why agentic computer use is the way to bridge it:
"Living in San Francisco, we see a lot of thinking, 'Wow, the labs can do everything,' and, 'Why doesn't everybody just install Codex and just have it do stuff?'"
"But for the average American and the average small to medium business owner or the average enterprise, even understanding what the tools are capable is [hurdle] one, connecting tools in a way that makes sense is two, deploying it is three, servicing is four."
"The really cool thing about computer use as a technology is the universality of it. It works with every application. It's unlike any other thing that we've built where the developer has to do some work to adopt it, someone has to build a connector or MCP server."
"If there are complex workflows that require a lot of disparate software, computer use is a great way to join them, complete the entire end-to-end workflow, and then building it in a format and UI that feels good to hold for those customers feels still like a really, really big opportunity that I think is still open."
@JamesZmSun@AriX
OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed.
Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI.
They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal.
0:50 What Astra changed for computer use
3:23 Consumer vs. enterprise computer use
5:43 How James runs his workday with Dots
8:06 When computer use becomes superhuman
10:01 How much autonomy to give agents
11:36 What agents mean for ad-supported sites
13:51 Computer use as the universal API
17:21 Getting enterprises to trust agents
20:22 Why the best use cases are the boring ones
25:37 Why UI isn't going away
32:38 Advice for founders building on agents
37:31 Making computer use feel coherent
40:57 Computer use's scaling moment
YouTube: youtu.be/9v42ZOdiBJY@AriX@JamesZmSun@OpenAI@seema_amble@fabserafini
Automating the @Unity asset pipeline with Gemini 4 Argon 🐬
Using Google @Antigravity, see how Gemini 4 Argon eliminates hours of tedious pipeline plumbing by turning a text prompt into a fully functional ocean exploration game. Check out how Argon can model and rig 3D assets in Blender, batch import them into Unity, and build artist-friendly custom editor tools to control procedural wave physics, custom shaders, and dynamic lighting.
Computer use is becoming faster than humans, and cheaper too
OpenAI's Ari Weinstein: "We've gotten computer use now to a place where it's faster than the average human at using a computer, and I think we're getting really close to a place where it is superhuman."
And it already costs a fraction of human labor per hour of back-office work:
- Computer-use agent: $6-8
- Offshore outsourced talent: ~$10
- US back-office labor: $30-45
OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed.
Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI.
They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal.
0:50 What Astra changed for computer use
3:23 Consumer vs. enterprise computer use
5:43 How James runs his workday with Dots
8:06 When computer use becomes superhuman
10:01 How much autonomy to give agents
11:36 What agents mean for ad-supported sites
13:51 Computer use as the universal API
17:21 Getting enterprises to trust agents
20:22 Why the best use cases are the boring ones
25:37 Why UI isn't going away
32:38 Advice for founders building on agents
37:31 Making computer use feel coherent
40:57 Computer use's scaling moment
YouTube: youtu.be/9v42ZOdiBJY@AriX@JamesZmSun@OpenAI@seema_amble@fabserafini
One week left to apply to YC Winter '27!
YC founders get:
🔸 $500K in funding
🔸 $12M+ in tokens, credits & deals
🔸Partners who were founders first, and are in your corner for life
🔸 Access to the best founder community in the world
🔸 Demo Day in front of thousands of top investors
Apply by Nov 2: ycombinator.com/apply
Simplify security policy configuration with the new visual match condition builder for Google Cloud Armor.
This tool is useful when configuring rules to protect multi-cloud backends or hybrid deployments. Check out the documentation to learn more → goo.gle/3UaJxyf
Introducing AnyAlpha (YC F26) @AnyAlphaAI , the agentic trading platform.
AnyAlpha turns your trading idea into an agent that executes it for you, 24/7.
Every agent runs on institutional-grade data and the trading infra we built.
Start with an idea. Work it out with AnyAlpha. Backtest it on historical data. Then your agent starts trading.
We're starting with prediction markets, then every asset class.
Try it! 👉 anyalpha.ai
Kyle Norton met with 30 to 40 vertical AI founders before deciding where to go next, and he chose to become CRO of @LassieAI.
He first met Lassie's founders as an advisor, telling them their traction was strong enough to hire a real CRO, before coming back a few weeks later wanting the job himself.
What sold him:
- Retention that looked like a Series D company's, from SMBs on month-to-month contracts
- Founders who did back-office admin work alongside small business owners before writing a single line of code
- Almost entirely organic growth, from a 15-person team with no marketing function and just three people selling
"My thesis with Lassie was, they solved the hardest, most high-trust, high-credibility, most difficult problem in the healthcare practice, which is managing their money. Getting them paid."
Kyle is looking for obsessive learners with a history of excellence, long-term players, and builders who root for the little guy, the independent practices and small businesses Lassie serves.
Lassie is hiring across GTM, engineering, ops, finance, and design: a16zjobs.substack.com/p/kyle-norton-…@kylecnorton@steijnpelle@fredericrenken
In June, I promised my wife I wouldn’t do another startup and that promise lasted a total of 41 days 😅...
I recently joined @LassieAI as CRO because small business is in my blood and I couldn't resist the opportunity to bring AI to main street.
As our customers scale to training robot models using millions of hours of our recordings, we needed to build a new kind of data infrastructure.
Terabytes of data delivered in minutes, and the capacity to deliver over a Petabyte per day to each of our customers, to multiple customers at the same time. That’s more than 10 Gigabytes a second, delivered into any cloud, wherever our customers need it.
Using our customer portal, customers select precisely the data they want and it starts arriving in minutes at their destination, including AWS, GCP, Cloudflare, Hugging Face and any cloud provider who can handle the ingest speed.
We’ve written about how we worked with @huggingface and @Cloudflare to build this secure, scalable infrastructure. Link in comments.
Give your Instinct a budget
Built with @Stripe and @link, we're launching Link balance in @instinct. You can now set a budget for your Instinct to make purchases on your behalf, and Instinct does the rest.
You choose how much money to add and set a limit for each purchase. Your Instinct can spend within those limits, without needing access to your credit card or asking for approval every time.
That means buying tickets as soon as the presale opens, picking up your size when the trail runners restock, or reordering your favorite coffee beans every other week.
Link balance is rolling out to Instinct users across the US starting today, with New York coming soon.
Ask your Instinct to set up Link balance and it’ll send you a link to get started.
There’s a huge blindspot in the inference market today: it’s built almost entirely for coding agents.
Voice is how billions of people will interface with AGI. That’s what we’re building at @hopper_research : the inference cloud for voice
Excited to launch today at withhopper.com
Pollen Robotics reportedly received 15,000 additional Microduck orders following GTC Berlin.
According to Korean reporting, it also signed an agreement with ROBOTIS covering demand for 750,000 actuators across 50,000 planned robots.
Introducing Link balance. You can now give your agent a balance to spend on your behalf, even when you’re away or busy.
• Purchase concert tickets while you’re asleep.
• Buy your favorite shoes when the price drops.
• Order your entire shopping list with one prompt.
You choose how much money to add and set your own limits, your agent does the rest. Rolling out now to @Instinct users in eligible US regions.
A year ago, I joined the first @a16z New Media Fellowship as a fellow.
Now I get to help run the third one (!) and we just opened up applications.
This is a unique opportunity to meet, spend time with, and learn from some of the greatest poasters on the Everything App (maybe the real NMF was the friends we made along the way).
Springer Nature and @GoogleDeepMind are partnering to co-design an AI peer review assistant, exploring how AI can help reviewers navigate manuscripts more effectively and focus their time on specialist scientific judgement.
Learn more: spklr.io/6017EVgrh
💡 How proactively should Copilot suggest code? You decide!
With configurable eagerness in VS Code, choose Low, Medium, or High to tailor inline suggestions to your workflow.
Learn how we trained one model to support all three modes and balance suggestion size with quality.
🔗 Read the article:
Happy coding! 💙
EXCLUSIVE: In less than 12 hours, a group of ex-DOGE cyber researchers were able to penetrate Anthropic’s systems using AI agents — including Slack channels where the most sensitive models are discussed.
This is just weeks after
Anthropic whistleblower Joseph Coxon charged the company w/launching “a hubristic gamble” from a “private company’s Slack.”
Read our story here (gift link):
wapo.st/4smNlsC
One of the most unexpected things about YC is how long we continue helping the founders. Even though we're generally the first investors, we're the ones still advising them 10 years later. I think it's because we're the investing analogue of old friends.
One week left to apply to YC Winter '27!
YC founders get:
🔸 $500K in funding
🔸 $12M+ in tokens, credits & deals
🔸Partners who were founders first, and are in your corner for life
🔸 Access to the best founder community in the world
🔸 Demo Day in front of thousands of top investors
Apply by Nov 2: ycombinator.com/apply
Delighted to see the launch of the UK’s new AI Biosecurity Lab, which @GoogleDeepMind will partner with and support.
As life sciences enter a transformational era, it is essential for researchers, government, and industry to collectively strengthen our biological defences and guide these new capabilities responsibly.
Congratulations to @KanishkaNarayan and the entire team that has worked on making this a reality.
2/7 We're launching a £165m National AI Biosecurity Initiative, including £100m for a world-first AI Biosecurity Lab.
This will harness British scientific expertise and latest AI to detect biological threats and protect people from emerging risks.
As with our @AISecurityInst, I want the new AIBL to lead the world in capability.
the people want swag. we hear you. so naturally: free ice cream instead.
@Judgmentlabs is celebrating with free ice cream and we'll be serving scoops of Jev-Jam!
235 Pine St, San Francisco
Tuesday, Oct. 27, 11 a.m-1:15 p.m
We sold out in-person tickets this year, but hoping you can still show me what you got.
I’ve got a few extra customizable GitHub keyboards that we’ll ship to three people who can build a wild custom canvas that makes their workday better in the GitHub Copilot app. May the odds be ever in your favor. 😄
Three months ago @ev_whitehouse and I set out to fix how agents get tested. Mocks aren't real enough and sandboxes don't scale.
Today we're launching Rystic (YC F26) : local copies of Slack, Stripe, S3 and the rest of your stack.
→ Save scenarios
→ Inject faults
→ Run at scale
Check it out below 👇
🚀 GPT-6.1 Terra is now generally available in @code with GitHub Copilot!
Built for everyday agentic coding and terminal work, it solved noticeably more terminal and C# coding tasks than GPT-5.6 Terra in early testing, at a lower cost than GPT-6.1 Sol.
Try it today! ⚡️
Thanks to Sandy Riddick and his friends for inviting Jessica and me to visit Columbia. It was interesting to talk to a small group of students around a table instead of a large group in a lecture hall.
🆕 GPT-6.1 Terra from @OpenAIDevs is now generally available in GitHub Copilot.
Our early testing shows GPT-6.1 Terra solved noticeably more terminal and C# coding tasks than GPT-5.6 Terra. It works in focused, consolidated steps on well-scoped tasks.
Try it out for everyday agentic coding and terminal work at a lower cost than GPT-6.1 Sol.
Find it in the GitHub Copilot app, CLI, and @code.
Today we're excited to announce we have upgraded our 4th launch with our partners at @SpaceX to a dedicated mission, launching in 2028.
Given increased customer demand --in particular from the sovereign and air-gapped network verticals-- we decided to increase the number of satellites we're launching to 6. This is the entire production run of our spacecraft Block 4.
Sovereign satellites, and specifically sovereign satellites in geosynchronous orbit, allow a country or enterprise to have their own dedicated comms satellite with a purpose built network deployed around it.
In this new world of cyber threats and super-intelligent agents in the hands of malicious actors, we're seeing more and more the desire to pull infrastructure off the public internet entirely with dedicated networks. It's the most effective way to shrink the attack surface. And it's where the world is headed.
As a result we've seen huge increase in demand for satellites that our customers can control and lock-down from a cybersecurity perspective. Something uniquely possible on a nation-state scale with a geosynchronous satellite.
We are pumped about this launch. And the best part? We’re going straight to 22,000 miles up, with a direct-inject to GEO using an Impulse Helios upper stage.
We are now seeing an insane amount of commercial and US government demand, and we’re only just getting started.
After a breast cancer diagnosis, one of the hardest questions is whether it will come back.
@SimBioSys is helping doctors and patients better understand that risk. Powered by NVIDIA technology, its FDA-cleared TumorSight Risk analyzes an existing breast MRI alongside pathology and clinical information to estimate the risk of cancer returning at five and ten years.
For women with HR-positive, HER2-negative early-stage breast cancer, those insights can be available before surgery, giving them and their doctors more information as they talk through treatment options.
AI can help give patients and their doctors more information when the decisions ahead feel most difficult.
GPT-6.1 Terra is rolling out now and is available to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex.
Developers can also access it through the OpenAI API as gpt-6.1-terra.
While Trump cut taxes for the rich, he tightened access to food stamps—with more than 5 million Americans losing benefits so far—and to Medicaid, the health-care program for the poor.
"Positive energy by the gigawatt" 😂
I'm happy to be of service. We need more positivity in tech, and I'm atoning for my own history of providing too much of the opposite.
Computers are amazing. AI is amazing. LIFE IS AMAZING!
Energizer bunny!
Your effectiveness as an ambassador and communicator is off the charts.
You are truly an extraordinary high functioning human being.
You emit positive energy by the gigawatt.
Today we are introducing Open for Sales. 🔥
One prompt to build amazing campaigns with voice AI, email AI, WhatsApp AI, and many other channels.
open.cx/demo
Replit's Amjad Masad with Gagan Biyani on how agents will reshape the way companies work: bureaucracy runs in the background, people get true autonomy, and eventually the company runs itself.
Amjad: "In Silicon Valley there's been so many experiments to try to change the nature of firms, of how companies work... But I think it was a technology problem."
"Now you can have agents kind of function as the glue within these organizations and have the bureaucracy be this invisible thing that's happening by machines in the background, and the people have true autonomy to work on the things that they find most interesting."
"I see it in our company where I've changed how I run the company, and we call it this idea of a self-driving company. Eventually the company will run itself."
Gagan: "The thing I feel very certain about is it's all gonna change. It's gonna change a lot faster than you think. And if you're not natively understanding of it, it's gonna be hard to make that shift."
Amjad: "If you're learning the ways of the past, then you're kind of locked into a way of thinking and a way of working that actually will put you at a fundamental disadvantage in the future."
@amasad@Replit@GaganBiyani
applying to yc will literally change your life.
i've applied 10 times to yc and i still couldn't have expected how much it transformed the trajectory of our company.
i'll properly review the first 20 applications i get in dms.
One week left to apply to YC Winter '27!
YC founders get:
🔸 $500K in funding
🔸 $12M+ in tokens, credits & deals
🔸Partners who were founders first, and are in your corner for life
🔸 Access to the best founder community in the world
🔸 Demo Day in front of thousands of top investors
Apply by Nov 2: ycombinator.com/apply
If you've ever wondered why smart TVs are so cheap, this is why.
@log4j rooted his Samsung and found an always-on hot mic, automatic content recognition, geolocation, network mapping, ad targeting and user profiling, shared with Samsung's "400 partners".
A lot of it can be blocked in <15 min, wrote a basic guide below.
What your TV is doing
The main culprit is ACR (automatic content recognition). Your TV screenshots what's on screen, fingerprints it, and sends it home to build your ad profile. Samsung does it every 500ms, LG every 10ms [1].
What is insane: it happens on connected devices too.
Plug in your laptop, your console, your work machine, and your TV can fingerprint that via HDMI [1].
He also found that if your Samsung doesn't have a mic, it'll look for one from a connected soundbar or bluetooth device.
x.com/log4j/status/2…
It's on by default, and you likely agreed to it on the setup screen you clicked through in 10 seconds.
Step 1: Turn off ACR
Samsung: Terms & Privacy → Viewing Information Services
LG: Live Plus
Vizio: Viewing Data
Roku: "Use info from TV inputs"
Sony/Google TV: Samba Interactive TV
Menus vary by model, but those are the names to look for. While you're in there, opt out of interest-based ads, reset your advertising ID, decline every optional privacy agreement, turn off voice recognition, and delete apps you never open.
Step 2: Give smart devices their own network
Put the TV, cameras, speakers and vacuum on your router's guest/IoT network. The logic is simple: these devices rarely get patched. If one gets compromised (getting drastically more frequent with AI), it shouldn't be able to see your other devices or home network.
Step 3: Block trackers for the whole house with DNS-level filtering
NextDNS (cloud-based) is easy and has a solid free plan. Pi-hole is a little bit more work if you prefer self hosting. For simplicity we'll focus on the former.
1. Sign up at nextdns.io (free tier is plenty)
2. Privacy tab: add a blocklist (OISD is a good bet) and turn on Native Tracking Protection for Samsung, LG, Roku, Amazon (see attached image)
3. Setup tab: copy your endpoint
4. Paste it into your router's DNS settings as DNS-over-HTTPS/TLS (or use the IPs + "Link IP" if your router only does plain DNS)
5. Bonus: block outbound port 53 except to your router. Some devices hardcode their own DNS to get around you
Then open the NextDNS logs and watch how often your TV phones home. It's eye-opening. If an app or update breaks, find the domain in the logs and allowlist it.
Why they do this
TV prices are down 97% since 2000 [2]. Most of that is better manufacturing and brutal competition. But once margins on the hardware hit zero, the cost moved to you.
In Q3 2024, Vizio lost $6.7M selling TVs and made $115.8M in gross profit from ads and viewing data [3]. They've said on earnings calls that they keep TV prices low to grow the audience they sell to advertisers. Walmart bought them in 2024.
This isn't a conspiracy theory either. Vizio paid $2.2M to the FTC in 2017 for tracking 11 million TVs without consent. Last December, Texas sued Samsung, LG, Sony, Hisense and TCL over ACR. Samsung and LG have since agreed to stop collecting that data without explicit consent [4].
TL;DR
1. ACR off
2. Ads + voice off
3. Smart devices on their own network
4. NextDNS filtering on the router
Sources:
[1] ACR study: arxiv.org/abs/2409.06203
[2] Cost of US consumer goods: aei.org/economics/char…
[3] Vizio Q3 2024: sec.gov/Archives/edgar…
[4] Texas v. Samsung: texasattorneygeneral.gov/news/releases/…
AI filmmaking is trash.
I mean, AI filmmaking is real filmmaking now.
Today we're launching Martini Bar from @martini_film: production infrastructure for AI filmmaking companies. 🍸
🐘 Your database workflow, right inside VS Code.
In the PostgreSQL Like a Pro: VS Code Edition series, learn how to connect to PostgreSQL, explore unfamiliar schemas, write better SQL, and investigate query performance with the PostgreSQL extension and GitHub Copilot.
🎬 Watch the series: aka.ms/postgresql-lik…
Happy coding! 💙
i read @paulg's essay on "how to do great work" my first month at columbia and it ended up completely driving how i wanted to spend my college years.
i'm still in disbelief that i got to meet paul and jessica on campus!
so grateful for a beautiful conversation on what it takes to build meaningfully, the value of a liberal arts education today, and following your curiosity at full speed.
Thanks to Sandy Riddick and his friends for inviting Jessica and me to visit Columbia. It was interesting to talk to a small group of students around a table instead of a large group in a lecture hall.
We Applied 2 times.
Best Decision to join and move to SF.
@ycombinator and our Partner @kul are pushing us really hard and we couldn’t be more thankful!
One week left to apply to YC Winter '27!
YC founders get:
🔸 $500K in funding
🔸 $12M+ in tokens, credits & deals
🔸Partners who were founders first, and are in your corner for life
🔸 Access to the best founder community in the world
🔸 Demo Day in front of thousands of top investors
Apply by Nov 2: ycombinator.com/apply
We're excited to announce the research API for AI agents, with marketing, product, and insights teams at 60+ enterprises already using Gather.
How do companies like Datadog and Fortinet use Gather?
- Testing ads before they launch with simulated personas of their buyers
- Understanding where their competitors are weak, and using that in competitive deals
- Running real research to create thought leadership reports to drive top of funnel
GatherHQ makes customer calls, surveys, and past research queryable. When evidence is missing, its AI researcher designs studies and interviews real buyers, delivering quantitative and qualitative insights in days. Every interview strengthens a living buyer model that teams and agents can query to test messaging, pricing, and product ideas in minutes.
With 250,000+ interviews conducted and customers including Datadog, Fortinet, Envoy, and Staples, GatherHQ is already helping teams sharpen positioning, test campaigns, prioritize roadmaps, and create original research-backed content. Agents access the same capabilities through an API, making research a continuous part of their workflow. An API for how buyers think.
Excited to announce the launch of the @Numeral Partner Program.
As we grow, we're investing more in the relationships, technology, and infrastructure that help our partners better serve their clients.
The new program introduces more ways to work with Numeral, including referrals, reselling, white-labeling, and integrations, alongside expanded incentives, dedicated support, and co-marketing opportunities.
The most interesting thing I learned was how alien it seemed to these ambitious students to be self-indulgent and just follow their own curiosity. They've been trained not to be self-indulgent, so even good forms of it seem unnatural to them.
Join LangChain + @typesafeAI on November 5th for an evening of talks on building with decision models and using them to evaluate agents.
Hear from @sydneyrunkle, Seán Roche, and @allietheicon.
Interested in attending? RSVP today! luma.com/iuc3ostf
Indeed it is the opposite! We’ve had macOS 27 support since beta (it’s in nightly). We’ve had more libghostty improvements than ever before and more commits in it than ever before which enables a much larger ecosystem (and the goal of the project since day 1 was libghostty and I’ve said as such). And I’ve said publicly our standard release was delayed a month to end of Oct due primarily to translations. That’s resolved now so we’re on schedule.
This was unexpected even to me. When we started YC, we thought that after helping startups get rolling, we'd hand them over to their next investors, who'd take it from there. But it didn't work out that way. Being there at the beginning made things different.
@mitchellh I know I can't have any expectations about open source, but I have to say the optics of Ghostty not getting a macOS 27 update (tabs are still broken) while you happily hack full speed on Rex are not good.
anthropic.comAnthropic files S-1 with the SEC for proposed initial public offering
