@Divine_machinei
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Most likely posting about AI or Tech or shitposting about MMA, Boxing, Gaming, and the University of 〽️ichigan
Joined August 2021
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Anyone joining @Muse redeem I2F04F
Lets be billionaires.
1 billion Muse tokens for you. 1 billion for your friend.
Referrals are now live in Muse! Invite up to 20 friends and you'll each get 1 billion tokens when they onboard and redeem your code. That's up to 20 billion Muse tokens for you. muse.ai/join
Divine 〽️achine retweeted
Because this “Meta uses OpenClaw” story is going around. They built their own agent, being inspired. Nat and his team did a great job. Kudos!
Replying to @anshnanda
we built muse from scratch, but it is definitely heavily inspired as a product by openclaw. After I used openclaw in january I bought hundreds of mac minis for the MSL team and lots of us fell in love with using openclaw (and other personal agents). @steipete is a genius and his harness was pioneering from the jump. I think a lot of people were inspired by it. our goal with muse was to build something like openclaw that we could make safe and secure and easy to use and scale to billions of people.
Grok 4.7has made sol obsolete
(for a few days until GPT6-Sol releases)
Grok 4.7 scores 46 on the Artificial Analysis Intelligence Index to bring SpaceXAI into the top 4 AI labs. Coding Agent Index performance has also improved, overtaking GPT-5.6 Sol
Grok 4.7 scores +2 points over Grok 4.6 on the Intelligence Index, with strong performance on agentic knowledge work tasks. We evaluated the new model at xhigh reasoning effort.
Congratulations to @SpaceXAI and @ElonMusk on the release!
Key takeaways:
➤ Grok 4.7 joins the frontier of agentic knowledge work: Grok 4.7 gains +111 Elo over Grok 4.6 (high) on AA-Briefcase, our private benchmark for long-horizon agentic knowledge work, scoring 1657 Elo and placing it alongside Claude Opus 5 and Claude Fable 5.1 at the frontier. On GDPval-AA, it scores 1695 Elo, +90 ahead of Grok 4.6 (high).
➤ A leap in coding agent performance: Grok 4.7 (xhigh) with Grok Build scores 56 on the Artificial Analysis Coding Agent Index, up +9 points from Grok 4.6 (xhigh). Among models in their native harnesses, Grok 4.7 + Grok Build now ranks 4th, behind only Claude Fable 5.1, GPT-6 Astra, and Claude Opus 5.
➤ Incremental performance changes elsewhere: Outside of agentic knowledge work, Grok 4.7 broadly matches Grok 4.6 (high) on the other Intelligence Index tasks. It improves on Terminal-Bench 4.0 (+4.5 percentage points) and GDP.pdf (+3.0 p.p.), with regressions on AA-LCR (-3.7 p.p.) and AutomationBench-AA (-1.1 p.p.).
➤ High token use across tasks: Grok 4.7's gains come with higher token usage. Grok 4.7 (xhigh) uses approximately 81k output tokens per Intelligence Index task, compared with 36k for Grok 4.6 (high) and 27k for GPT-6 Astra (max) - 125% and 196% more, respectively.
Other model details:
➤ Context window of 500k tokens, unchanged from Grok 4.6
➤ Pricing of $2/$6 per 1M input/output tokens with cache hits discounted to $0.50 per 1M tokens, matching Grok 4.6
➤ Configurable reasoning effort spans low to xhigh. Our evaluation uses xhigh.
Releasing Jev Desktop as open source.
This is about 10x faster that GPT-6-Astra's native computer use in limited testing.
This will be maintained as it's planned to become a core part of my internal verification workflow.
github.com/jacks3tr/Jev-Desk…
Divine 〽️achine retweeted
Amazon cuts off Muse.
While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur
Nobody wants to get commoditized or layered here. Let the games begin
Divine 〽️achine retweeted
Just a reminder that GLM 5.3 Flash, DeepSeek V4.1 Flash, Qwen 3.8 Next Flash, and even Qwen 3.8 27B are all outperforming (in both intelligence and capabilities) every model that was considered "frontier intelligence" in Xmas 2025 (just 10 months ago)
Opensource AI is on fire
In the modern world of cancel culture you may find this grok bot useful 🙄
x.ai/bot/s50oGLZfiPNSKuTlGss…
Jev by @typesafeai is incredible
I added 18 Jev use cases to my personal bot harness and have been collecting some insane metrics. Jev can provide tons of info live, it can also provide info BEFORE the model asks keeping it out of compounding context all together. Normally the model would need a separate turn to inspect and decide what to do after a search
- Far fewer model turns
- Up to ~70% less context needed
- Eliminated unnecessary tool/skill discovery turns and requests.
- now browser decisions are super fast ~150–200 ms
- and 100% correctness on several key decision points.
- Jev also successfully detected 100% (5/5) of my test prompt-injection attempts
- Relevance, support/contradiction, selection, and ranking can all be resolved by JEV instead of using a full model turn for classification.
If you ever watch your model think, it often says things like:
"Wait, i should try X";
Hold, on - the user asked for Y, maybe i should ____"
My harness can now execute things directly without asking the model to do it.
Usage limits got you feeling down bad?
Here is a 100% free bug bounty workflow w/ @FreebuffHQ
freebuff.com/?ref=ref-45cbb4…
Use 3 concurrent sessions (you get 1hr each)
- 5.6 Luna - Max
- Deepseek v4.1 Flash - Max
- GLM 5.3 Flash - High
Prompt 1:
github.com/jacks3tr/Useful-P…
If one finishes early, do another pass and have it update list to maximize the hour
Then consolidate the findings and VERIFY them
1. GPT-6-PRO via web (separate usage) w/ Github connector or local MCP plugin
2. or @ each of the threads directly in Freebuff to consolidate in a separate session
(or just use any sub/preferred model you already have)
Prompt 2:
`Consolidate these reports and verify every finding against the current /unbound code. Deduplicate by root cause and return one prioritized list of verified bugs, with rejected and unverified claims separate. Read-only: no fixes or file changes.
Follow: github.com/jacks3tr/Useful-P…`
Implement with your agent of choice