Aidan McLaughlin
@aidan_mclau ·
new gemini carbon looks great
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Mia@MiaAI_lab ·
Google announced Gemini 4 Carbon. Pretty crazy as Argon was released only two weeks ago 😲
Per Google: - Excels at running long engineering tasks - 2x better than Argon at writing secure code. - First access goes to cyber defenders, then trusted partners, and only then to the general public.
I've only attached benchmark numbers that matter for agentic tasks and coding. Carbon leads on 5 out of 7.
I REALLY hope it actually delivers.
Riley Brown@rileybrown ·
Does anyone see this option in app?
Nathan Lambert@natolambert ·
I feel a little bad ranting at Gemini about the unreleased model, as going through the unofficial channels to get a frontier model out today I hear is a good bit of a mess and definitely not easy. That's why they say patience is a virtue.
@levelsio@levelsio ·
@dhh @omarchy Fixed the power!
Here's more about Omarchy's interface
I will be using it the next few days and weeks and tell you more what I think then
Google Gemini@GeminiApp ·
Dive into new topics with immersive explorations in Gemini.
Whether it’s tracing trade routes on the Silk Road, peering inside a jet engine, or studying the physics of lightning, each scene unfolds into interactive layers with guided explanations that let you dig even deeper.
Aravind Srinivas@AravSrinivas ·
Explainer videos are my new favorite way of learning things
Santiago@svpino ·
This is pretty cool:
You get the speed/cost/structural benefits of a decisions API like Jev.
On top of that, you also get access to current news, so you can make decisions based on the world's current state.
Check out some of the examples here:
Isomorphic Labs@IsomorphicLabs ·
Operating ML at scale is a constant battle of trade-offs: 1. Scaling thousands of models without the rigidity and complexity of ML frameworks 2. Preventing your scheduler from stalling under massive, bursty workloads We're covering both at #KubeCon NA.
- @levelsio
@levelsio ·
I opened the box form @DHH and it's the Dell XPS 14 with @omarchy loaded on it!
Set up was very easy, fast and flawless, I think it took less than a minute on first opening it
Omarchy asks you lots of questions to set it up for you, kind of like an onboarding, but not in an annoying way like Windows would do these days with too many useless questions, every question here makes sense
It sets up your Git and your AI agent of choice like Codex, Claude Code or OpenCode
Everything worked flawlessly with no bugs at all, really smooth
Then you're inside, and you see the famous Omarchy wallpaper, and then it gets a bit hard (for me at least) because I had to figure out the shortcuts
Luckily @jankeesvw helped me figure them out but I'm still learning
I'll be setting up my SSH to my VPS servers so I can work from there. And also I'd like to see if I can use Claude Code to customize Omarchy to my own liking, like generating my own apps etc.
I'll report back!
Part 2 of the video is in the reply (after I fixed the power)
Dean W. Ball@deanwball ·
A patchwork of state laws, despite having become a bit of a meme, is genuinely a risk, is a reasonably common failure mode of American federalism, and is something worth being wary of, even if that wariness doesn’t translate to anything like “blanket opposition to all state legislation.”
Mike Taylor@hammer_mt ·
These are all failures to have proper evals:
- they have a short half life... then you need to be able to recompile your skills for each new model - are often not necessary... then you should test against a baseline to make sure the skill is still needed - they use superficial role personas... its important to test what instructions actually give you what you want - instead focus on outcomes - that's what evals are!
If you have good evals you don't even need to look at your skills and can recompile them on your tasks every time a new model comes out (or you want to save money with a cheaper one).
Guillermo Rauch@rauchg ·
Theo cooked
Paul Couvert@itsPaulAi ·
So they've indexed 2 billion people
Not 2 millions but 2 BILLION so you can use your agent to find anyone and reach out.
Many use cases in sales, research, recruiting, etc.
People were already doing that manually... now it's way faster and more accurate.
Agentic workflows to another level.
Elon Musk@elonmusk ·
Impressive
dax@thdxr ·
i have bad news
seeing early signs than LLMs can be funny
you just have to give them a weird medium that isn't just text
edwin@edwinarbus ·
Probably the first viable independent e-bookstore.
Books from all major publishers.
Kieran Klaassen@kieranklaassen ·
Where do humans still belong when doing different kinds of work? Jamming a little bit, trying to make some kind of map. https://x.com/i/broadcasts/2vyNbVeaLEXbBa
elvis@omarsar0 ·
Google is so back!
On a serious note, it's good to see Google getting back to regular releases.
Don't sleep on this model's long-horizon and persistence capabilities.
Gemini 4 Carbon should also significantly improve results across science domains.
OpenRouter@OpenRouter ·
- Mia
@MiaAI_lab ·
512 GB M5U costs more than 2x 256 GB M5Us...
Thomas Wolf@Thom_Wolf ·
microduck is learning to plan its footsteps, so it lands more precisely where it wants to go
with SLAM, this is one of the building blocks toward an open-source 🦆 that can wander around the house on its own
early steps but it's progressing really fast and it's fun to watch
Jerry Liu@jerryjliu0 ·
is anyone else's wifi completely out in sf
- Elon Musk
@elonmusk ·
🇺🇸 Robotaxi Houston 🇺🇸
- Mike Taylor
@hammer_mt ·
I'm jumping on with @dbreunig and @isaacbmiller1 to talk about context engineering and dspy, including demo'ing an example from my new book! https://streamyard.com/4txkwjfj2d
Free for everybody not just @every subs (will be on YT).
- Jerry Liu
@jerryjliu0 ·
it feels nice to be excited about shiny new hardware and not just the latest frontier model
Michelle Pokrass@michpokrass ·
so excited that this is finally out! have been using readwise books in beta and it's an awesome reading experience. the kindle monopoly finally has a real challenger. congrats to team readwise :)
Fireworks@FireworksAI_HQ ·
Genspark's Gen-1 Slides matches Claude Opus 5 on slide generation at about 1/17 of its input-token price.
Kay Zhu, CTO & Co-founder of @genspark_ai, goes inside the model and the economics behind it at Fireworks Forge.
Can't make it to Forge? Register for the livestream here: https://bit.ly/forgelivex
Shubham Saboo@Saboo_Shubham_ ·
Introducing Gemini 4 Carbon for Long Horizon tasks.
Just two weeks after Gemini 4 Argon.
- elvis
@omarsar0 ·
Highly recommended read. AI-written text is everywhere on the web now. This study measured how much.
Lots of interesting insights here.
They found that across more than 5 million crawlable pages from 2019 to 2026, about 24% contained AI-generated or AI-edited text in August 2026, up from near zero before 2022.
The growth rate nearly doubled, from 4.6 points per year between early 2023 and early 2025 to 8.1 points per year since.
About four-fifths of the growth comes from pages on the edge of the web graph, linked from a few well-connected domains. The most central pages are the least likely to contain AI text. English pages have more than other languages, and .gov and .edu pages have far less than .com.
The team uses a Bayesian model to correct for false positives and false negatives in the detector.
https://arxiv.org/abs/2610.36631
Chat with Paper: https://academy.dair.ai/papers/the-uneven-rise-of-ai-generated-web-content-2610.36631
