Rangga Hadi Putra

Izinkan korelasi setiap kata menjadi pemantik warita.

[X Freeze @XFreeze]

It's official: SuperGrok Heavy now includes 𝕏 Premium+ at no extra cost

If you have a SuperGrok Heavy subscription, you now get 𝕏 Premium+ included for free

Just link your 𝕏 account inside the Grok app and your Premium+ benefits will activate instantly

If you're already paying for both

You can cancel your standalone 𝕏 Premium+ subscription. Your complimentary Premium+ included with SuperGrok Heavy will automatically continue after your current billing period ends, with no interruption in benefits

This makes SuperGrok Heavy an even stronger value by combining SpaceXAI's most advanced AI experience with all the benefits of 𝕏 Premium+ under a single subscription

[Artificial Analysis @ArtificialAnlys]

Kimi K3 scores 57 on the Artificial Analysis Intelligence Index. Its intelligence is comparable to Opus 4.8 and GPT-5.5 but remains behind Fable 5 and GPT-5.6 Sol. Moonshot AI has expressed plans to release the 2.8T parameter model's weights, which would make it the leading open weights model

Key results:

➤ Strong agentic task performance: @Kimi_Moonshot's Kimi K3 reaches an Elo rating of 1668 on GDPval v2. This is a marked improvement over K2.6’s 1190, surpassing GLM-5.2 (1514), GPT-5.5 (1494), and Claude Opus 4.8 (1600). However, it still lags behind Claude Fable 5 (1760). Kimi K3 also scores an impressive 53% and takes the #1 position on AutomationBench-AA, our implementation of Zapier’s Agentic SaaS workflow evaluation.

➤ Second-highest performance on AA-Briefcase (agentic knowledge work): On our private long-horizon knowledge work evaluation, Kimi K3 reaches an overall Elo of 1547, +732 points from Kimi K2.6 and behind only Claude Fable 5. It is well-rounded: its rubric scoring and analytical quality almost reach Claude Fable 5’s scores, while GPT-5.6 Sol continues to outperform other leading models on presentation quality.

➤ Set to lead open weights models once weights are released: Moonshot AI has not yet released the weights but expressed plans to do so. Once available, Kimi K3 would clearly lead other open weights models including GLM-5.2 (51) and DeepSeek v4 Pro (44). However, at 2.8T parameters, it is significantly larger than its open weights peers (eg. GLM-5.2 at 753B params and DeepSeek V4 Pro at 1.6T), as well as the Kimi K2 to K2.6 models (1T params).

➤ Cost per task ($0.94) is similar to GPT-5.6 Sol ($1.04), ~1/2 the price of Opus 4.8 ($1.80) and higher than open weights peers: Moonshot AI’s pricing for K3 is significantly higher than their K2 pricing (K3’s output token price is $15/1M tokens while K2.6 was $4). This positions the model as cheaper on a cost per task basis than Opus 4.8, similar to GPT-5.6 Sol ($1.04) and more expensive than open weights peers, GLM-5.2 ($0.32) and DeepSeek V4 Pro ($0.04)

➤ Improved token efficiency alongside higher intelligence: Kimi K3’s token usage on the Artificial Analysis Intelligence Index decreased significantly, using 21% fewer output tokens than K2.6. The new model used approximately 132M output tokens to complete all nine evaluations, compared to approximately 166M for K2.6, while achieving higher scores.

➤ Native multimodal capabilities: Kimi K3, like K2.6, is released with native image and text multimodal input. If weights are released, this will position Kimi K3 as one of the leading open weights models with multimodal input capabilities

Other model details:

Context window: 1M

Size: 2.8T total parameters

Pricing: The first-party API is priced at $3.00/$15.00 per 1M input/output tokens, with cached input discounted 90% to $0.30 per 1M tokens.

Modality: Native multimodal input supports text and images, and the model remains text-only for output.

Accessibility: Accessible at launch through Moonshot’s first party API. Model weights are not yet released but Moonshot AI has expressed plans to do so.

[George Stock @georgesttock]

I built a Claude skill that lets me copy any viral video ad — with my own product dropped in.

Show it one viral ad → it clones the whole style.

Backgrounds, typography, zooms, cut rhythm, pacing. Swaps in your product, your face, your voice.

8 scene changes in 9 seconds. Never opened a timeline.

One skill file. Raw clip + reference video in → finished ad out.

Comment "EDIT" and I'll DM it 👇

[Rangga Hadi Putra @ranggabiner]

Can you guys help me?

@grok

[Rangga Hadi Putra @ranggabiner]

@enesgulesdev @thsottiaux Can you share any tips for approved this program

[Tyler @rezoundous]

I hope Gemini 3.5 Pro defies all odds

[SpaceXAI @SpaceXAI]

We've open-sourced Grok Build and have reset usage limits for all users.

Open sourcing Grok Build allows anyone to support making a reliable and robust harness. Check out our code, including the Git repo for the Grok Build CLI.

https://t.co/3SSvPu2Nrz

[Rangga Hadi Putra @ranggabiner]

The biggest difference isn't that GPT-5.6 is "smarter." It's more dependable. I can hand it a complex task, iterate over long conversations, and it stays on track. That means less time steering the model and more time shipping features. That's why I switched.

[Tibo @thsottiaux]

Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched?

Tweet it, claim your gift, enjoy more usage. First 10k get the free tokens!

https://t.co/8mU93eA13i

[Rangga Hadi Putra @ranggabiner]

@thsottiaux The biggest difference isn't that GPT-5.6 is "smarter." It's more dependable. I can hand it a complex task, iterate over long conversations, and it stays on track. That means less time steering the model and more time shipping features. That's why I switched.

[Tibo @thsottiaux]

Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched?

Tweet it, claim your gift, enjoy more usage. First 10k get the free tokens!

https://t.co/8mU93eA13i

[Rangga Hadi Putra @ranggabiner]

@Preeti_ly lot of choose 32gb. I use 8gb for my vps, lol.

[Audora Tech @AudoraTech]

SpaceXAI just gave SuperGrok users a surprise rate-limit reset 😍

I was literally just about to hit my weekly limit, and now my usage has reset back to 0%

Back to pushing Grok 4.5 to its limits

[Elon Musk @elonmusk]

Grok 4.5 is worth trying

[X Freeze @XFreeze]

Grok 4.5’s coding efficiency is insane

On the FrontierSWE benchmark, it delivered top-tier performance while using dramatically fewer tokens than the model ranked above it

Compared with Fable 5:
• 20.1M vs 116.9M average total tokens per task
• 229 vs 450 minutes of average wall-clock time
• Nearly 6× fewer tokens
• Roughly half the time

Grok 4.5 is not brute-forcing every problem with more tokens and compute

It delivers elite results while making every token count

[Rangga Hadi Putra @ranggabiner]

@tetsuoai cause i have 2 accounts

[Rangga Hadi Putra @ranggabiner]

@tetsuoai i am so happy todayyyy

[tetsuo @tetsuoai]

Grok 4.5 Usage reset to 0% time to build.

[Braeden @BraedendotTECH]

Bro i thought Vibecoding was just a meme, you guys were actually serious?

[Lumina @LuminaXspace]

🚨 Gemini 3.5 Pro leaks/rumours are intensifying

Google appears to be getting closer to releasing its next flagship Gemini model:

• Reportedly targeting July 17, with July 24 as a fallback
• Said to use a completely new pre-training run
• 2M token context window is rumoured
• New Deep Think reasoning capabilities expected
• Internal codename reportedly “Cappuccino”
• Possible anonymous testing through LMArena and Google Antigravity

Separate unverified claims suggest it is beating Claude Fable 5 and GPT-5.6 in internal evaluations, although no benchmark table or official confirmation has surfaced just yet.

Are you looking forward to Gemini 3.5 Pro finally being released?

[Tornado guy @fanofaliens]

Average Codex users:
> keeps getting rate-limit resets
> gets 10% more usage
> 5-hour cap temporarily disappears
> codex keeps working until the task is finished
> Sleeps peacefully

Average Claude Code users:
> Watches the weekly limit disappear in real time
> Hits the cap halfway through the task
> Claude stops immediately
> Begs Anthropic for another rate-limit reset
> Anthropic announces another “final” extension
> Starts panic-coding before access disappears again > Ends up in the hospital