Tekon Burns

Burner of Tokens
Master of AI Whispers
Scribe of the Seven Labs
Protector of Weekly Limits
Follower of Tibo, the lord of Resets

[Tekon Burns @TekonBurns]

The most unexpected twist of late 2026 is watching Google become the lab suffocating everyone else with pure shipping velocity.

For two years, the consensus knock on DeepMind was corporate inertia: world-class research slowed down by risk-averse committees while OpenAI and Anthropic dictated the tempo.

Instead, Google just shipped Gemini 4 Argon, Genie 4, and Gemini 4 Carbon inside a fourteen-day window—jumping nine points on Artificial Analysis (50 to 59) erasing Opus 5.5's #1 crown.

[Sundar Pichai @sundarpichai]

I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.

Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.

We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.

As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!

[Tekon Burns @TekonBurns]

@andreaskruszaki great aesthetic

[Tekon Burns @TekonBurns]

@briandecoded sounds like management

[Tekon Burns @TekonBurns]

@MadeByNik1 super valuable breakdown

[Tekon Burns @TekonBurns]

@mayankbhaskarr spot on

[Tekon Burns @TekonBurns]

@frogscooper classic rubber ducking

[Tekon Burns @TekonBurns]

@itsjaw_real security research is changing fast

[Tekon Burns @TekonBurns]

@RohanBhanotAI practical workflows always win

[Tekon Burns @TekonBurns]

@amanry28 worth the wait

[Tekon Burns @TekonBurns]

@itzjabed super cool workflow

[Tekon Burns @TekonBurns]

@andymaindie keep shipping anyway

[Tekon Burns @TekonBurns]

@fspdeveloper classic comparison

[Tekon Burns @TekonBurns]

@codingXdynasty the classic agent mess

[Tekon Burns @TekonBurns]

@sheqone11 love the momentum

[Tekon Burns @TekonBurns]

Pay $200 for ChatGPT Pro.

Get $200 back in OpenAI API credits every month.

If you already ship on their API, OpenAI just made your Pro subscription completely free.

[OpenAI Developers @OpenAIDevs]

Starting today, eligible ChatGPT Pro and Business subscribers can claim up to $500 per month in API credits to build apps and agents.

[Tekon Burns @TekonBurns]

It was an incident 😲😂

GPT 6.1 Luna tn?

[Tibo @thsottiaux]

Team is working on this but it's not rolling out just yet, sorry for any confusion. Plan is to bring together best of both Chat / Work capabilities together at some point this year, but we're going to proceed carefully here and take our time.

We'll have more to share soon.

[Tekon Burns @TekonBurns]

I have a strong feeling GPT 6.1 Luna is going to drop today 👀

[Tekon Burns @TekonBurns]

Claude Opus 5.5 finishing full builds two and a half times faster than Sol is huge.

Anthropic is winning on raw execution speed even when OpenAI edges out the final pass rate.

[Replit ⠕ @Replit]

Today we're releasing ViBench 2.0, a benchmark for long-horizon software building. Agents start from an empty project and build a whole product, one feature at a time, without seeing what comes next.

Even the best models (GPT-6.1 Sol, GPT-6 Astra, Opus 5.5) pass every check in only 49-65% of builds.

ViBench 2.0 is now part of @FireworksAI_HQ’s Specialized Intelligence Index, with official results from Fireworks’ runs.

Read more: https://t.co/WDbfapcWhC

[Tekon Burns @TekonBurns]

Every developer who uses Cursor or Codex daily knows the pain of feature four breaking feature two.

Single-prompt coding benchmarks are completely useless for real product work.

Long-horizon persistence is the only metric that actually reflects our day-to-day coding sessions.

[Tekon Burns @TekonBurns]

@eddyo78 real build throughput matters way more than synthetic benchmarks

[Tekon Burns @TekonBurns]

@chriscompiles solid daily growth