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Grok 4.7 reportedly jumps from No. 10 to No. 3 on an AI leaderboard

Trioma cites the ranking jump to promote its platform, saying users can change models while keeping project context, files and workflows in place.

@jason@J
Harry StebbingsHS
15 Sources, 20d ago, first seen 20d ago

TLDR

Trioma says Grok 4.7 climbed from No. 10 to No. 3 on an AI leaderboard. In its promotional post, the company argues that the best model can differ by task and change with each release. It pitches its platform as a way to switch models without restarting a project, saying context, files and workflows stay in place.

Combined views

79.4K

15 Sources, first seen 20d ago

63 likes22 comments33 saves14 reposts

Combined views

79.4K

15 Sources, first seen 20d ago

63 likes22 comments33 saves14 reposts

Sentiment

Positive39.3%60.7%Negative

Summary

Replies questioned Meta's Muse agent amid distrust of the company and hype around valuations, while positive accounts praised its practical agent features and top ranking.

Based on 108 sentiment-bearing replies from 106 accounts across 9 conversations.

Sentiment

Positive39.3%60.7%Negative

Summary

Replies questioned Meta's Muse agent amid distrust of the company and hype around valuations, while positive accounts praised its practical agent features and top ranking.

Based on 108 sentiment-bearing replies from 106 accounts across 9 conversations.

15 Sources

The Rundown AI@TheRundownAITop stories in AI today: - Amazon blocks Meta’s Muse agent - Trump wants an ‘AI Force’ to guard U.S. lead - How to set up ChatGPT to write in your voice - Researchers find a ‘pain’ signal inside AI models20d
Trioma AI@trioma_aiGrok 4.7 just made one of the biggest jumps on the AI leaderboard: from #10 to #3. And this leaderboard could look very different again within days. OpenAI, Anthropic, Qwen, Meta and others are all moving fast, with more major model updates expected this week. Research, coding, images, video - the best model can already be different for every task, and the leader can change with every new release. The “best AI model” is becoming a moving target. Your project shouldn’t have to restart every time a stronger model appears. In Trioma, your context, files and workflow stay in place while the models underneath can change. learn more at http://trioma.ai20d
Seth@seth_finWent long $META when everyone was calling it dead money. Up 32% since. Muse is the biggest AI launch since ChatGPT and the market is only starting to price it in. Mostly because it does tasks instead of just answering questions, and it reached a huge audience fast. It's an agent, not a chatbot. Unlike conventional chatbots, Muse runs multi-step tasks in the background for users, like booking travel, managing calendars and making purchases. Meta says it can send emails, book travel, sell a car and lower a bill on your behalf. It also remembers what matters to you, so it can make suggestions unprompted and act on details you only mentioned once. Has anyone tried Muse AI? I will do it tomorrow. Which Meta apps should I install to use MUSE AI?19d
Chris Bakke@ChrisJBakkeMeta will continue to be successful because they understand that a winning consumer AI strategy is “hey you can use AI to negotiate a good deal on a Peloton through Marketplace and btw we made a silly little AI character with a fluffy butt that you can look at on your new Meta Tamagotchi” not “run our open weight model 6.7.1 on this new Chinese orchestration architecture oh and btw it might take your job and kill you good luck”17d
Harry Stebbings@HarryStebbingsHere are the biggest news I’ve discussed with @jasonlk and @rodriscoll this week: - Meta's Muse Hits No. 1. ChatGPT Finally Has a Rival - Menlo Sounds the AI Bubble Alarm - Factory Triples Its Valuation to $5 Billion - Keith Rabois vs Airwallex: Who is Right? - Crusoe's $3.9 Billion Round. Is the Data Centre Trade Overheating? I’ve condensed my notes below: 1. Why Anthropic pushed its $2 trillion IPO from October to November Anthropic delaying its IPO from October to November is a tactical move to present a clean Q3 prospectus. Rather than listing while Q3 metrics are unaudited, waiting lets bankers include fully audited, record-setting October numbers so the financial results speak for themselves. 2. Why Muse and Instinct are the biggest credible threats to ChatGPT Autonomous agent interfaces like Muse act as a Trojan horse against ChatGPT by bundling solid consumer LLMs with free autonomous agent execution. Offering daily conversational AI and action-taking agents for free with higher token limits makes paying $20 monthly for basic chat hard to justify. 3. Amazon is right to block Muse Amazon blocking Meta's agentic commerce, Muse, defends its core profit model. Autonomous agents bypass sponsored ad listings, Amazon's main e-commerce profit driver, while shrinking total basket sizes. Amazon's massive consumer leverage forces Meta to negotiate a value exchange rather than freely harvesting its store infrastructure. 4. What should the API policy be for every big company? Aggregated consumer demand dictates tech adoption far more than theoretical payment protocols. When platforms like Meta aggregate massive user volume against backend systems, incumbents like Amazon, OpenTable, and Resy must immediately formulate agent API policies. Demand aggregation remains the ultimate driver of enterprise urgency. 5. Why I would make the investment into Factory at 5 billion Investing in Factory at $5 billion is a high-conviction bet on data sovereignty and model choice. C-level executives deeply distrust frontier labs with confidential codebases, fearing competitive data leaks through shared LLMs. As coding inference surges, air-gapped, model-agnostic enterprise platforms will capture massive market share. 6. Why would Rory invest in Factory at $5 billion? Software coding is the mother lode of AI value creation. While corporate boards demand rapid AI adoption, enterprises prefer buying end-to-end dev tools from independent players like Factory rather than frontier model labs whose data retention policies pose existential IP risks. 7. Why Jack at Airwallex needs an army of people fighting for him Running a decacorn requires a dedicated bench of public advocates to disarm narrative attacks. Founders shouldn't waste executive bandwidth arguing on social media against public attacks. Mobilizing an army of vocal supporters lets CEOs focus strictly on execution while third parties manage reputation. (links in comments)17d
Sar Haribhakti@sarthakghRT @ChrisJBakke: Meta will continue to be successful because they understand that a winning consumer AI strategy is “hey you can use AI to…17d
trading places@TradingVCsMeta's @Muse is #1 on the App Store, ahead of ChatGPT. @alexandr_wang 👏 @AmanVerjee: "If I had to short one company right now… I'd short Instinct." A $10B valuation, with Sequoia and Benchmark rumored to lead. @davemcclure isn't so sure. Who's right? Episode 49 of @TradingVCs is here: 1:06 - [ tech and vc news ] 3:29 - Fed rates jump to 4%, gas @ $4.50/gal 8:16 - @AnthropicAI delays IPO; @OpenAI raising @ $1.2T 12:00 - Does AI need govt regulation? 16:54 - @nscale files for IPO 20:45 - EU AI rising: @MistralAI $24B, @cohere @ $20B 24:07 - @Gemini joins AI hacker club 25:33 - @Meta @finkd launches AI agent Muse; Instinct raising @ $10B @sequoia @benchmark 33:47 - [ intvw: Dan Gray @credistick, research lead, @JoinOdin ] 39:48 - Venture has eaten the IPO 41:19 - Shifting VC strategies 58:45 - How AI could upend VC industry 1:13:39 - Contrarian take on upcoming AI IPOs 1:13:21 - [ valuation corner: @shieldaitech seeks $20B ] 1:17:08 - Impressive founding brothers @brandontseng2 @rtsengusa 1:18:30 - Why VC defense investment is growing 1:22:18 - Breaking down world-wide defense budgets17d
Minh Nhat Nguyen 🦭@menhguinRT @ChrisJBakke: Meta will continue to be successful because they understand that a winning consumer AI strategy is “hey you can use AI to…17d
MORE OR LESS@MoreorLessPodToday on the pod: @lessin would rather send his kids to the military than to Andreessen Horowitz's new $35M school, @Jessicalessin agrees on air, and @davemorin ends up defending the thing he opened the segment by calling a marketing play. Full house this week: Dave, @brit, Jessica and Sam, plus @Mazzeo of NoHo Labs, who spends most of the hour asking why none of them can be optimistic about anything. Watch here on X or wherever you get your pods. Topics: 00:00 Cold Open 01:14 Matt Mazzeo joins: peptides, CAA, and 15 years of Harvard connections 05:19 a16z puts $35M into a school: marketing play or higher ed reform? 06:20 Brit on every billionaire starting a university 08:21 Jess on Alpha School and who should be in charge of education 10:20 Sam: I'd rather send my kids to the military 12:19 Grit, great books, and learning to wrangle horses 16:40 Claude discovers a new enzyme system with 10,000 agents 18:01 Anthropic's IPO slips, and the liability problem 20:29 The story flip: from only we can be trusted to we can't afford the risk 21:14 Matt's maximalist take: long frontier, long open source 23:14 Massive demand, unclear profit, and the railroad pattern 24:40 Blackstone on who pays for the data center debt: we don't know 25:45 The Saint Petersburg paradox and pricing an infinite payout 27:56 Brockman redefines AGI, three years too late 31:11 Infinite demand doesn't mean infinite sustainability 32:20 Amazon blocks Muse: the first of many arms treaties? 35:37 Agents are quietly vaporizing the internet's breakage model 36:49 It's still 1982 for agents 37:42 Sam wants to spend thousands a month on CPU, not GPU 40:12 Does your agent represent you or the lab that made it? 42:16 When your agent does something bad, who is liable? 43:50 Peptides 101: what they actually are 46:30 GLP-1 revenue is rivaling AI revenue 48:20 How Matt went from 250 pounds to sub-12% body fat 50:29 The FDA is moving peptides back into compounding pharmacies 53:32 What a peptide protocol costs and how to start safely 57:17 Taylor Swift, girl dads, and a code for listeners16d
Jessica Lessin@JessicalessinRT @MoreorLessPod: Today on the pod: @lessin would rather send his kids to the military than to Andreessen Horowitz's new $35M school, @Je…16d
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    15 Sources

    The Rundown AI@TheRundownAITop stories in AI today: - Amazon blocks Meta’s Muse agent - Trump wants an ‘AI Force’ to guard U.S. lead - How to set up ChatGPT to write in your voice - Researchers find a ‘pain’ signal inside AI models20d
    Trioma AI@trioma_aiGrok 4.7 just made one of the biggest jumps on the AI leaderboard: from #10 to #3. And this leaderboard could look very different again within days. OpenAI, Anthropic, Qwen, Meta and others are all moving fast, with more major model updates expected this week. Research, coding, images, video - the best model can already be different for every task, and the leader can change with every new release. The “best AI model” is becoming a moving target. Your project shouldn’t have to restart every time a stronger model appears. In Trioma, your context, files and workflow stay in place while the models underneath can change. learn more at http://trioma.ai20d
    Seth@seth_finWent long $META when everyone was calling it dead money. Up 32% since. Muse is the biggest AI launch since ChatGPT and the market is only starting to price it in. Mostly because it does tasks instead of just answering questions, and it reached a huge audience fast. It's an agent, not a chatbot. Unlike conventional chatbots, Muse runs multi-step tasks in the background for users, like booking travel, managing calendars and making purchases. Meta says it can send emails, book travel, sell a car and lower a bill on your behalf. It also remembers what matters to you, so it can make suggestions unprompted and act on details you only mentioned once. Has anyone tried Muse AI? I will do it tomorrow. Which Meta apps should I install to use MUSE AI?19d
    Chris Bakke@ChrisJBakkeMeta will continue to be successful because they understand that a winning consumer AI strategy is “hey you can use AI to negotiate a good deal on a Peloton through Marketplace and btw we made a silly little AI character with a fluffy butt that you can look at on your new Meta Tamagotchi” not “run our open weight model 6.7.1 on this new Chinese orchestration architecture oh and btw it might take your job and kill you good luck”17d
    Harry Stebbings@HarryStebbingsHere are the biggest news I’ve discussed with @jasonlk and @rodriscoll this week: - Meta's Muse Hits No. 1. ChatGPT Finally Has a Rival - Menlo Sounds the AI Bubble Alarm - Factory Triples Its Valuation to $5 Billion - Keith Rabois vs Airwallex: Who is Right? - Crusoe's $3.9 Billion Round. Is the Data Centre Trade Overheating? I’ve condensed my notes below: 1. Why Anthropic pushed its $2 trillion IPO from October to November Anthropic delaying its IPO from October to November is a tactical move to present a clean Q3 prospectus. Rather than listing while Q3 metrics are unaudited, waiting lets bankers include fully audited, record-setting October numbers so the financial results speak for themselves. 2. Why Muse and Instinct are the biggest credible threats to ChatGPT Autonomous agent interfaces like Muse act as a Trojan horse against ChatGPT by bundling solid consumer LLMs with free autonomous agent execution. Offering daily conversational AI and action-taking agents for free with higher token limits makes paying $20 monthly for basic chat hard to justify. 3. Amazon is right to block Muse Amazon blocking Meta's agentic commerce, Muse, defends its core profit model. Autonomous agents bypass sponsored ad listings, Amazon's main e-commerce profit driver, while shrinking total basket sizes. Amazon's massive consumer leverage forces Meta to negotiate a value exchange rather than freely harvesting its store infrastructure. 4. What should the API policy be for every big company? Aggregated consumer demand dictates tech adoption far more than theoretical payment protocols. When platforms like Meta aggregate massive user volume against backend systems, incumbents like Amazon, OpenTable, and Resy must immediately formulate agent API policies. Demand aggregation remains the ultimate driver of enterprise urgency. 5. Why I would make the investment into Factory at 5 billion Investing in Factory at $5 billion is a high-conviction bet on data sovereignty and model choice. C-level executives deeply distrust frontier labs with confidential codebases, fearing competitive data leaks through shared LLMs. As coding inference surges, air-gapped, model-agnostic enterprise platforms will capture massive market share. 6. Why would Rory invest in Factory at $5 billion? Software coding is the mother lode of AI value creation. While corporate boards demand rapid AI adoption, enterprises prefer buying end-to-end dev tools from independent players like Factory rather than frontier model labs whose data retention policies pose existential IP risks. 7. Why Jack at Airwallex needs an army of people fighting for him Running a decacorn requires a dedicated bench of public advocates to disarm narrative attacks. Founders shouldn't waste executive bandwidth arguing on social media against public attacks. Mobilizing an army of vocal supporters lets CEOs focus strictly on execution while third parties manage reputation. (links in comments)17d
    Sar Haribhakti@sarthakghRT @ChrisJBakke: Meta will continue to be successful because they understand that a winning consumer AI strategy is “hey you can use AI to…17d
    trading places@TradingVCsMeta's @Muse is #1 on the App Store, ahead of ChatGPT. @alexandr_wang 👏 @AmanVerjee: "If I had to short one company right now… I'd short Instinct." A $10B valuation, with Sequoia and Benchmark rumored to lead. @davemcclure isn't so sure. Who's right? Episode 49 of @TradingVCs is here: 1:06 - [ tech and vc news ] 3:29 - Fed rates jump to 4%, gas @ $4.50/gal 8:16 - @AnthropicAI delays IPO; @OpenAI raising @ $1.2T 12:00 - Does AI need govt regulation? 16:54 - @nscale files for IPO 20:45 - EU AI rising: @MistralAI $24B, @cohere @ $20B 24:07 - @Gemini joins AI hacker club 25:33 - @Meta @finkd launches AI agent Muse; Instinct raising @ $10B @sequoia @benchmark 33:47 - [ intvw: Dan Gray @credistick, research lead, @JoinOdin ] 39:48 - Venture has eaten the IPO 41:19 - Shifting VC strategies 58:45 - How AI could upend VC industry 1:13:39 - Contrarian take on upcoming AI IPOs 1:13:21 - [ valuation corner: @shieldaitech seeks $20B ] 1:17:08 - Impressive founding brothers @brandontseng2 @rtsengusa 1:18:30 - Why VC defense investment is growing 1:22:18 - Breaking down world-wide defense budgets17d
    Minh Nhat Nguyen 🦭@menhguinRT @ChrisJBakke: Meta will continue to be successful because they understand that a winning consumer AI strategy is “hey you can use AI to…17d
    MORE OR LESS@MoreorLessPodToday on the pod: @lessin would rather send his kids to the military than to Andreessen Horowitz's new $35M school, @Jessicalessin agrees on air, and @davemorin ends up defending the thing he opened the segment by calling a marketing play. Full house this week: Dave, @brit, Jessica and Sam, plus @Mazzeo of NoHo Labs, who spends most of the hour asking why none of them can be optimistic about anything. Watch here on X or wherever you get your pods. Topics: 00:00 Cold Open 01:14 Matt Mazzeo joins: peptides, CAA, and 15 years of Harvard connections 05:19 a16z puts $35M into a school: marketing play or higher ed reform? 06:20 Brit on every billionaire starting a university 08:21 Jess on Alpha School and who should be in charge of education 10:20 Sam: I'd rather send my kids to the military 12:19 Grit, great books, and learning to wrangle horses 16:40 Claude discovers a new enzyme system with 10,000 agents 18:01 Anthropic's IPO slips, and the liability problem 20:29 The story flip: from only we can be trusted to we can't afford the risk 21:14 Matt's maximalist take: long frontier, long open source 23:14 Massive demand, unclear profit, and the railroad pattern 24:40 Blackstone on who pays for the data center debt: we don't know 25:45 The Saint Petersburg paradox and pricing an infinite payout 27:56 Brockman redefines AGI, three years too late 31:11 Infinite demand doesn't mean infinite sustainability 32:20 Amazon blocks Muse: the first of many arms treaties? 35:37 Agents are quietly vaporizing the internet's breakage model 36:49 It's still 1982 for agents 37:42 Sam wants to spend thousands a month on CPU, not GPU 40:12 Does your agent represent you or the lab that made it? 42:16 When your agent does something bad, who is liable? 43:50 Peptides 101: what they actually are 46:30 GLP-1 revenue is rivaling AI revenue 48:20 How Matt went from 250 pounds to sub-12% body fat 50:29 The FDA is moving peptides back into compounding pharmacies 53:32 What a peptide protocol costs and how to start safely 57:17 Taylor Swift, girl dads, and a code for listeners16d
    Jessica Lessin@JessicalessinRT @MoreorLessPod: Today on the pod: @lessin would rather send his kids to the military than to Andreessen Horowitz's new $35M school, @Je…16d
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