I build web and mobile apps people actually use. Tech & AI updates.
Ilorin, Nigeria
Joined February 2024
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Big week in tech. AI agents are moving into enterprise, Claude got a cheaper version, Mistral released a massive open model, and a new decision-model startup raised nearly a billion dollars right after launching.
NOTE: I was so tired this week I had to do the major aspects with AI 😩
Saturday, October 10, 2026
codiac retweeted
Introducing Gemini 4 Carbon, it's a big jump over Argon which we released just 2 weeks ago.
Gemini 4 Carbon is SOTA on cyber, long horizon tasks, ranks #1 on Artificial Analysis V5, significantly improves on usability in domains like coding, and is more aligned.
codiac retweeted
I used Gemini 4 Argon to make Subway Surfers for the new flying Tesla Roadster 🚀
Fly over moving traffic, hit the thrusters to barrel roll in the sky, and collect air power-ups to set a high score.
Play + code below!
codiac retweeted
ibuildinpublic is live 🥳
If you build in public, you deserve a home that isn't the void.
Post your build. Ask for help. Get seen.
Grab your page before your name is gone.
ibuildinpublic.com
codiac retweeted
friend had his first one night stand in sf last weekend. he met her at a house party, went back to her place, opened their macbooks, and worked until sunrise. he didn't even get her github
codiac retweeted
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
codiac retweeted
GOOGLE 🔥: Gemini 4 Argon landed on the 5th spot on Arena Overall ranking.
1 Opus 5.5
2 GPT 6.1 Sol
3 Fable 5.1
4 GPT 6 Astra
5 Gemini 4 Argon 👀
Gemini 4 Argon (High) ranks in the top 5 for Agent Arena. Congrats to the @GoogleDeepMind team!
Read more about the latest with Agent Arena in thread.
codiac retweeted
Gemini 4 Argon taught a robot to play cornhole just by watching a video.
It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row.
Finalllyyyyyy
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!!
