Jerry Liu
@jerryjliu0 ·
it feels nice to be excited about shiny new hardware and not just the latest frontier model
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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
Patrick Loeber@patloeber ·
nice 🚀
Nathan Lambert@natolambert ·
This Gemini 4 Carbon model getting teased today and not publicly available seems like a graspy/last ditch move to sneak it in before Fable 5.5 blows their socks off.
ChatGPT@ChatGPT ·
By popular request, you can now text your dot.
Give it a task to take off your plate or something to keep an eye on, using text, photos, or even voice notes. It will text you proactively with relevant updates.
Safe, secure texting via iMessage or RCS. You’re the only one who can text your dot, and your dot can only text you. Rolling out now as a preview for Pro users in the US.
Josh Woodward@joshwoodward ·
2 weeks ago: Gemini 4 Argon Today: Gemini 4 Carbon
The frontier is fast, and the internal vibes on this model are good. Rolling out to cyber defenders first, then more widely available as the next step!
Peter Gostev@petergostev ·
Gemini Carbon rank's 2nd on Agent Arena vs 7th for Argon. I have used Carbon a bit before the release and I can tell you it feels a lot better than Argon - this is a real deal from Google this time. I hope they keep up with the rapid pace of releases from now on
Every 📧@every ·
Rare air.
- Nathan Lambert
@natolambert ·
Gdmi whenever I want to try a Gemini model it’s not publicly available. Don’t bother announcing your scores if we can’t use it.
Arena.ai@arena ·
Exciting news: Gemini 4 Carbon (High) from @GoogleDeepMind just made a huge debut on Arena, landing #1 in Text Arena, #2 in Agent Arena, and #4 in Code Arena: WebDev. Back at the top, Gemini 4 Carbon delivers frontier intelligence and reshapes the Pareto frontier across three arenas.
In Agent Arena, Gemini 4 Carbon ranks #2 with a +16.2% net improvement across +21.9K real-world agentic sessions from our global community, surpassing top models GPT-6 Astra and Fable-5.1. At $1.80 median cost per task, Gemini 4 Carbon (High) costs 72% less than the #1 ranked Claude Opus 5.5 (Max).
Its standouts by key signals: - #1 Steerability (+18.6%): can the model course-correct when you push back? - #2 Praise vs Complaint (+37.9%): implicit sentiment in users' reactions - #3 Confirmed Success (+18.7%): explicit “yes, that worked” from users
In Code Arena: WebDev, Carbon scored 1768 pts landing #4: - Just 2 pts below #3 Claude Sonnet 5.5 (xHigh), at 1770 pts - 89 pts above #11 Gemini 4 Argon (High), at 1679 pts
By category, it ranks #3 in Gaming and Simulations, and #5 in Brand & Marketing.
In Text Arena, Gemini 4 Carbon (High) is the new #1 with 1528 pts, now ahead of Gemini 4 Argon (High) at #2 with 1520 pts.
Congrats to the @GoogleDeepMind team on this huge milestone!
- Nathan Lambert
@natolambert ·
I honestly don’t know how to try Gemini in the agentic era, maybe I finally need to fix that. Pretty wild they just have been out of it since December 2025 but look maybe back.
Artificial Analysis@ArtificialAnlys ·
Google’s Gemini 4 Carbon is the new #1 on the Artificial Analysis Intelligence Index v5, and second only to Claude Opus 5.5 on the Artificial Analysis Coding Agent Index
Gemini 4 Carbon scores 59 on Intelligence Index v5, driven by leading performance in complex reasoning, knowledge, and scientific tasks. It also has large gains in coding and knowledge work, particularly when compared to other Gemini models, but it is not leading in all these areas.
As with launch of Gemini 4 Argon, Gemini 4 Carbon is being rolled out to selected users and is not yet publicly available. Google is offering a 50% launch discount, with no confirmed end date. All our charts and figures use standard pricing for both Gemini 4 Carbon and Argon.
Key results for Gemini 4 Carbon with high reasoning: ➤ Gemini 4 Carbon leads the Intelligence Index v5, with the #1 score in 4 of the 9 Index evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, AutomationBench-AA. Carbon makes substantial gains elsewhere but is not leading in coding and knowledge work
➤ Behind only Claude Opus 5.5 on coding agents: With Antigravity CLI, Gemini 4 Carbon (high) scores 59 only 3 points behind Claude Code with Claude Opus 5.5 (max, 62) on the Artificial Analysis Coding Agent Index. Carbon ranks second on both Terminal-Bench 4.0 (64%) and FrontierCode v1.1 (51%), behind Claude Opus 5.5 (max) at 56%. Google has historically underperformed in this area and so this improvement stands out
➤ Improved agentic knowledge work, but not yet leading: On AA-Briefcase, Gemini 4 Carbon (high) scores 1609 Elo, a 126-point improvement over Gemini 4 Argon (high, 1483), but still behind models including Grok 4.7 (xhigh, 1638), Muse Wonder (max, 1659) and Kimi K3.1 Pro (1678). The largest gain comes from Presentation, up 293 Elo to 1598, alongside a 120-point improvement in Analytical Quality to 1671
➤ Lower Cost per Task than Claude Opus 5.5 for comparable overall intelligence: Gemini 4 Carbon costs $7.76 per Intelligence Index task, ~23% less than Claude Opus 5.5 (max, $10.04) but ~1.2x GPT-6 Astra (max, $6.25). It uses 123k output tokens per task, 29% fewer than Claude Opus 5.5 (max, 173k). At the same $4/$20 standard pricing, its Cost per Task is in line with Gemini 4 Argon ($7.68), while scoring 9 points higher on the Intelligence Index
➤ Leading AA-Omniscience v1.1 score, with low hallucination: Gemini 4 Carbon scores 54 on our recently updated AA-Omniscience v1.1, 6 points ahead of Claude Opus 5.5 (max, 48) and 8 points ahead of Gemini 4 Argon (46). Accuracy (% correct) rises 10 points over Argon to 58%, while its hallucination rate rises from 4% to 11%. This is still the second lowest of any model, behind only Argon, compared with 50% for both Claude Opus 5.5 (max) and GPT-6 Astra (max)
Key model details: ➤ Context Window: 1M tokens ➤ Multimodality: Text, image, video, and speech input, with text output ➤ Pricing: $4/$20 per 1M input/output tokens, the same as Gemini 4 Argon’s standard pricing, with a 50% discount. Cached input tokens receive a 95% discount ($0.20 per 1M)
Congratulations to the @GoogleDeepMind team!
Mia@MiaAI_lab ·
Mac Studio M5 Ultra 512 GB starts at $22,299 before taxes 🤯
Rowan Cheung@rowancheung ·
3.5 years in, and The Rundown is approaching the 4M total newsletter subscriber mark 👀
Grateful for the journey so far, so much more to come
Thariq@trq212 ·
courage in shorter supply than genius
Paul Couvert@itsPaulAi ·
What??!
So Gemini 4 Carbon is better than
- Opus 5.5 - Fable 5.1 - GPT-6 Astra
This is the best model in the world... and only 15 days after Gemini 4 Argon!
It's so over. Google has the magic recipe.
- Fireworks
@FireworksAI_HQ ·
What did the agent actually get done? @zapier's AutomationBench puts that question to the test across 47 simulated apps, grading the results agents leave behind.
Thank you to the Zapier team for partnering with us to bring this benchmark to the Specialized Intelligence Index!
Explore how they built it: https://zapier.com/blog/automationbench-on-specialized-intelligence-index/
Daniel San@dani_avila7 ·
Argon, Carbon… Krypton next? 😅
Google just broke the benchmarks again with Gemini 4 Carbon
The pace of these model releases is getting ridiculous
- Peter Gostev
@petergostev ·
I concur, Carbon is way better than Argon, I wish they'd skipped Argon completely, would have been a stronger comeback. Carbon is much closer to the frontier.
Thor 雷神 ⚡️@thorwebdev ·
If you prompt it hard enough, it'll give you 💎 😉
Santiago@svpino ·
Working with people who don't like your agent is a pain. Switching agents is a pain. Repeating yourself over and over again is a pain.
This is an app you can run locally, and it solves all of this:
1. Collaborate with other people and agents 2. Everyone uses the agent they like 3. Context stays centralized 4. Switch whenever you want to.
Every company will end up using something like this. It just makes it much easier for people to collaborate instead of everyone working on their own.
I use this with Slack, but you can also configure Microsoft Teams and Discord.
It supports Codex, Claude Code, Cursor, Antigravity, and Open Code natively, and all other agents via MCP.
Thanks to the team for partnering with me on this post!
Boris Cherny@bcherny ·
Utah gave Claude Code to 34 developers across 10 state agencies. 80% had a working environment within 30 minutes, 71% reported saving 20+ hours by the end of the four-week pilot.
AI at Meta@AIatMeta ·
Today we're announcing support for university research at @Caltech, @OhioStateMed, @LSU, @IndianaUniv, and @UTHealthHouston to help advance breakthroughs across science and medicine.
As part of the support for university researchers, we’ll provide access to our latest Muse models, including Muse Wonder and Muse Spark; open weight models like Muse Glimmer and Muse Spark Open; computer vision models such as SAM, V-JEPA, and DINO; as well as SeamlessM4T, our multilingual communication model.
We’re excited to support these five universities as they use our models to accelerate the important work they’re doing.
Read more on our research blog: https://go.meta.me/47G6wV3
Andrew Curran@AndrewCurran_ ·
Gemini 4 Carbon benchmarks;
Philipp Schmid@_philschmid ·
Gemini 4 Carbon, the next iteration of our frontier model is coming.
Building on Argon with stronger coding and cybersecurity. Same $2 in / $10 out*. Scores 59 on AA v5.
In testing with trusted partners. Developer access as soon as possible. Looking forward to sharing this with you! https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
- Patrick Loeber
@patloeber ·
today, we're announcing Gemini 4 Carbon, our next frontier model!!
read more on the blog: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
Omar Sanseviero@osanseviero ·
Gemini 4 Carbon
