@CodeByPoonam
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Post about everything latest in AI | Founder: AI Toast| DM for Collabs
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Joined September 2021
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If Gemini 4's benchmarks are real, Google just pulled off the biggest comeback in AI history.
People are building crazy stuff with the rumored Gemini 4 Pro checkpoint in Arena
10 Wild Examples
Bonus: another update you shouldn't miss
Qwen3.8-Flash is free inside Qoder right now 🤯👇
P.S. I dive deeper into AI tools—and where they’re headed—in my newsletter, AI Toast.
Join 35,000+ readers in the AI Toast community for free:
aitoast.beehiiv.com
Gemini 4 vs Astra on the same prompt.
A comparison of the mechanical butterfly Gemini 4 Pro made with GPT-6 Astra..
credits to @karankendre for the Astra output!
Which one looks better guys?
Gemini 4 Pro or GPT-6 Astra.
I think they both look good in their own ways.. tho Gemini nailed the flying elegance and overall visuals..
I'll let you guys be the judge of this one!
PS. I share more in-depth insights on “AI tools” and their future developments here.
Join over 35K+ readers in the AI Toast community for free:
aitoast.beehiiv.com
Poonam Soni retweeted
Opus 5.5 has 5 effort levels. Most people only ever use one.
Effort controls how hard Claude thinks on each request. Here's when to use each 👇
→ Low: when the plan is clear. Renames, or applying a known pattern across files
→ Medium: your starting point for well-scoped daily work
→ High: when medium stalls. More thinking per turn catches what medium misses
→ Extra high: when high still can't get there. Still stuck? Switch to Fable 5.1 for that task
→ Max: for the most complex tasks only. Turn it on, finish the hard part, then lower it again
Not getting the results you expected? Raise the effort before you switch to a bigger model.
Poonam Soni retweeted
AI is getting pretty good.
You can now interrupt an AI video mid-generation. And it just adapts.
PixVerse just released R2, a real-time world model built to keep generating while you're still talking to it 👇
🤝 Paid partnership
Opus 5.5 has 5 effort levels. Most people only ever use one.
Effort controls how hard Claude thinks on each request. Here's when to use each 👇
→ Low: when the plan is clear. Renames, or applying a known pattern across files
→ Medium: your starting point for well-scoped daily work
→ High: when medium stalls. More thinking per turn catches what medium misses
→ Extra high: when high still can't get there. Still stuck? Switch to Fable 5.1 for that task
→ Max: for the most complex tasks only. Turn it on, finish the hard part, then lower it again
Not getting the results you expected? Raise the effort before you switch to a bigger model.
AI is getting pretty good.
You can now interrupt an AI video mid-generation. And it just adapts.
PixVerse just released R2, a real-time world model built to keep generating while you're still talking to it 👇
🤝 Paid partnership
I don't think this means traditional game engines disappear.
World models could complement them by helping developers:
→ explore level ideas faster
→ experiment with player-driven experiences
→ prototype worlds before building them
But traditional engines still have the advantage when you need predictable rules, repeatable behavior and precise control.
This is AI video that responds to you while it's still playing.
Try it: world.pixverse.video/home/?u…
@PixVerse #PixVerseWorldModel
