Equity52 @equity52

A first look at Equity52. Curious what you think.

BREAKING: The S&P 500 officially posts its worst day since July 29th, erasing -$800 billion of market cap. Inflation is rising again in the US, now nearly double the Fed's long-term target.

@sundarpichai Agreed. Love the creativity in the prompting here.

The model is only half the story. The way you work with it is where things get interesting.

Chetaslua @chetaslua

2 days ago

WTF Gemini 4 ARGON built a highly detailed model of a Pagoda using multi-agent visual critique loops in Antigravity. The model autonomously sculpted a multi-building temple complex with photorealistic architecture, foliage and lighting in Blender.

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We're building Equity52 for investors who read filings, build DCF models in Excel, and develop their own thesis. One workspace for research and valuation, with AI that understands your work and agents you can delegate tasks to. What's one task you'd want it to handle?

@ConnorTalksAI Honestly, Instinct is really good. Worth giving it a try. Shoutout to @noahrshinn

We gave GPT-6.1 Sol (Max) and Gemini 4 Argon (High) the same prompt and screenshots. Neither video was quite there. Guess we're still at the point where AI can make a video from one prompt, but making a good one still takes skill, direction and iteration. GPT (L) | Gemini (R)

Gemini 4 Argon vs Opus 5.5Benchmark is in: The Space Train 🚂🪐 4 minutes. $3.40. That's all Gemini needed 🤯 Same prompt: Opus took 1h 53m and cost $23.46. Gemini took 4m 20s and cost $3.40. That's 26x faster and 7x cheaper 😱 Did it beat Opus? No. Opus is still ahead on detail: the volumetric clouds, the mechanics on the locomotive, the camera work. But the gap is way smaller than the price gap. Gemini still pulled off the station, the planets and the lightning, in less time than it takes to make a coffee ☕ When you need something good in minutes, not perfect in 2 hours, this is nuts. Watch them side by side and tell me: is Opus worth 7x the price here? 👀

Opus 5.5 vs Gemini 4 Argon vs Gpt 6.1 Sol vs Gpt 6 Astra Do we have a new king? 👑

$0.19 vs $12.06 for a ship in a bottle ⛵🤯 Gemini 4 Argon vs Claude Opus 5.5 Opus built a whole little world: dolphins, seagulls, a lighthouse, bottle rocking, and plenty of interactive touches. The glass, water, and small details look much better But Gemini did a decent job for $0.19 too. Simpler, but almost 64 times cheaper For quality, I’m picking Opus. Would you pay extra for the details? 👀

Agent Arena update: we’ve evolved the Bash Recovery signal, with Bash Reliability. Here’s how it impacts the leaderboard. At the top for Agent Arena: - #1 Claude Opus 5.5 (Max), @AnthropicAI holds the top - #2 GPT-6.1 Sol (Max) by @OpenAI - #3 Claude Fable 5.1 (Max) by @AnthropicAI - #4 GPT-6 Astra (Max) by @OpenAI - #5 Gemini 4 Argon (High) by @GoogleDeepMind The first 14 spots are all proprietary models with the best open weights models being GLM 5.2 at #15, followed by MiMo V2.6 Pro at #18. Read more about Bash Reliability and check out the Agent Arena leaderboard in thread.

🚨 BREAKING: Google just took the crown back. Gemini 4 Argon beats Claude and GPT-6 on 14 of 19 tests, and anyone with Gemini Pro can use it today. Where Argon wins: → Legal agent work, 19.6% vs Claude Fable 5.1’s 6.7% → Business automation, 51.3% vs Opus 5.5’s 42.5% → Finance agent work, 65.4% vs Fable 5.1’s 58.9% → Long documents up to 1M tokens, 84.2% vs GPT-6’s 71.8% Where Claude Opus 5.5 wins: → Terminal coding, 66.4% vs Argon’s 57.4% → ML engineering, 49.3% vs 45.3% Where GPT-6 Astra wins: → Software engineering, 65.5% vs Argon’s 55.0% → Computer use, 72.6% vs 69.2% Google wrote the scorecard. Benchmaxxing or is this the real deal?

The moment you've been waiting 4… Our new frontier model, Gemini 4 Argon, is rolling out now in the Gemini app to bring your most complex ideas into reality. See how Gemini 4 Argon and our latest updates across the Gemini app help you get the most out of every prompt. 🧵

Gemini 4 Argon on the BridgeBench lava lamp test is actually pretty impressive. Clean glass. Real lava. A base that actually glows. $0.18 and under 2 minutes. Opus 5.5 took 9m 35s and cost $1.27 for its lamp. Google might be quietly cooking.

Gemini 4 Argon is now GA. Argon ranks equal to GPT-6 Astra on the Artificial Analysis Intelligence Index at 60% of the Cost per Task with discounted prices until Nov 30 Key takeaways: - Google is back to having a frontier model released to the public: This is Google's first proprietary model above the Flash class in over 7 months - Pricing temporarily discounted to 50% until November 30: Gemini 4 Argon has a Cost per Task of $1.99 with discounted prices, a ~40% reduction compared to GPT-6 Astra (max) for a comparable level of Intelligence. It is currently priced at $2/$10 per 1M input/output tokens with a 95% discount for cache reads (up from 90% from previous Gemini models). Prices will increase to $4/$20 after November 30 - Large improvements in agentic performance: Gemini 4 Argon shows substantial improvements in agentic evaluations such as AA-Briefcase, AutomationBench-AA, Terminal Bench 4. This is an area in which Google's models have historically underperformed compared to leading peers Lowest hallucination rate among leading models: On AA-Omniscience, Gemini 4 Argon has a 15% hallucination rate, the lowest of any model scoring 45+ on the Intelligence Index