Neural Bytes retweeted
I don’t want muse to rule the world.
The next generation of agent companies is being started right now, by people shipping agents that real users text every day.
If that’s you, build it now. Keiki and Maritime cover the tools, hosting and LLM credits. Get to 1,000 users and win $20k in credits plus a trip to SF.
competition.maritime.sh/
Neural Bytes retweeted
harness² from @GoogleResearch offers techniques for RSI on the harness, with a fixed model
they call it "harnessing", but you might already be familiar w/ this process! it's also called "hill climbing" or "continual learning"
more in 🧵 !
Dont know why but google gemini's usage limits feel very limited recently compared to chatgpt or claude.
@OfficialLoganK
Neural Bytes retweeted
Today we are rolling out Gemini 4 Argon globally in the Gemini API, to Pro + Ultra in Gemini App, and Ultra subs in Antigravity!
Argon is a huge step forward for Gemini, and a labor of love. This model has been battle tested by over 100,000 people at Google over the last month, with so much new innovation, ambition, and hard work baked into this release. The team has been heads down over the last 6 months working to make this possible across the stack (research, infra, safety, eng, etc).
We rolled the model out to cyber defenders as part of our fairwind program and early access customers over the last 2 weeks, it has been amazing to see and talk to folks who are now using this model daily. Seeing the models writing capability, raw knowledge and persistence for coding, paired with new features like 1M token output when the model needs to work more has gotten me even more excited about our path ahead.
This is just the start of the Gemini 4 era. As you saw with 3.5, 3.6, 3.7, and 3.8 Flash, our iteration speed with Gemini is fast : ) Now with Gemini 4 Argon to work from, I am cannot wait to see the progress continue, and most importantly see what this new model enables for the world.
This is such a special moment in the arc of technology, as millions of people everyday tackle problems they could never have thought possible before. Gemini 4 Argon was built to help you tackle the hardest problems. I have personally felt this spark with Argon and hope you do too. Onwards!!
Neural Bytes retweeted
We have created a 4-step distill version of Iris-3B our text to image model. Iris-3B Turbo, real-time image generation. ~0.7 s per image.
Updated weights and training code and added a new hf demo. (Apache 2.0)
speridlabs.com/research/iris (updated)
huggingface.co/spaces/sperid… (new demo)
Meet Iris-3B: a pixel-space T2I model and general vision learner that generates every pixel directly. No VAE.
Pre-trained from scratch, 3B, open weights.
We also explore its generative prior on detail-critical vision tasks: depth estimation and image restoration.
Fully open: weights, code and demo (Apache 2.0)
speridlabs.com/research/iris
Neural Bytes retweeted
Introducing Maritime (YC F26): the cloud platform for running billions of AI agents
We give startups the infrastructure to deploy, manage, and scale their agents, each with its own computer
Hosting starts at $1/agent/month
"Most people aren't looking to save time, they're looking for ways to spend their time."
9 of 15 consumer internet categories have zero AI products in the Top 100. These built some of the biggest companies of the last two eras:
- Streaming
- Social
- Dating
- Gaming
- Travel
- Retail
- Finance
- Real estate
- Jobs
More charts in our Top 100 Consumer AI Apps breakdown: a16z.news/p/top-100-consumer…
The seventh edition of our Top 100 Consumer AI Apps is here.
New this time: a revenue leaderboard, alongside the usual web and mobile traffic rankings.
Three years ago we published the first edition. ChatGPT was #1, Claude was unranked, and the entire category was chatbots, image generators, and not much else.
In today's edition:
- ChatGPT still holds the throne, now with 1B+ monthly actives on mobile
- Claude has climbed to #3 on web with nearly 1B monthly visits
- The category has expanded to vibe coding (Lovable, Cursor, Replit), music (Suno), design (Figma), voice (ElevenLabs), video (Higgsfield, Kling), agents (Manus), and even hardware (Plaud)
Full breakdown from @omooretweets: a16z.news/p/top-100-consumer…
Neural Bytes retweeted
please if you're talented and ambitious do not work on saas. pick a physical problem in the world and take it on, the models are too good not to
Neural Bytes retweeted
TextQL Ontology is now GA
build your enterprise ontology on the same infra that the largest companies in the world use...
1/ We're reimagining what it means for your agents to work with all your computers.
Today we're excited to share Cua Spaces, built on Cua Driver and our virtualization stack, rolling out on macOS today.
Download it now, it's free and source-available: spaces.cua.ai
Neural Bytes retweeted
Introducing Monid, the easiest way to connect your agent to 1,200+ tools & APIs.
Your agent discovers, runs, and pays for tools at runtime.
So you'll never sign up for a dozen accounts or pay for subscriptions you barely use.
We routed 1M+ tool calls last month. Here's how Monid works.






















