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Both Claude Opus 5 and GPT-5.6 Sol have been performing exceptionally well on our leaderboards, ranking in the top 3 across almost all of our non-agentic tasks. We put both models through the same 3D design and website challenges to see where each excels the most. Watch the full...

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Design Arena

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30,487 görüntüleme • 11 gün önce •via X (Twitter)

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Claude Fable 5 and GPT-5.6 are cooked already… Sonnet 5 vs Opus 4.8 on another agentic video pipeline. Both generated a storyboard with GPT Images 2.0, then fed it into Seedance 2.0, all through Higgsfield MCP on Claude. Same quality, but each directed Seedance 2.0 completely differently.
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Claude Fable 5 and GPT-5.6 are cooked already… Sonnet 5 vs Opus 4.8 on another agentic video pipeline. Both generated a storyboard with GPT Images 2.0, then fed it into Seedance 2.0, all through Higgsfield MCP on Claude. Same quality, but each directed Seedance 2.0 completely differently.

FHILY👑

34,557 görüntüleme • 1 ay önce

Qwen 3.8 Max is actually impressive Sent a sky pic to it along with Claude Opus 5, Kimi K3, and GPT 5.6 Sol, and asked them to draw an animal silhouette based on the cloud shape Qwen 3.8 Max is honestly on par with all the other models
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Qwen 3.8 Max is actually impressive Sent a sky pic to it along with Claude Opus 5, Kimi K3, and GPT 5.6 Sol, and asked them to draw an animal silhouette based on the cloud shape Qwen 3.8 Max is honestly on par with all the other models

Ann Nguyen

464,973 görüntüleme • 11 gün önce

Kimi K3 beats GPT 5.6 Sol on both speed and in cost in backend bug fixing ! Planted 4 defects in the same Python order service: a wrong-total calculation, a broken access-control check (IDOR), a crash on invalid input, and an inventory oversell. Both models got identical code and the same prompt, with an automated test suite verifying every fix over the live API. Both went 4/4, but by the time Kimi K3 finished all 4, GPT 5.6 had only fixed 2. Kimi wrapped in under half the time, at half the cost. Kimi K3: 1min 34s · $0.1 · 4/4 GPT 5.6 Sol: 4min 6s · $0.2 · 4/4
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Kimi K3 beats GPT 5.6 Sol on both speed and in cost in backend bug fixing ! Planted 4 defects in the same Python order service: a wrong-total calculation, a broken access-control check (IDOR), a crash on invalid input, and an inventory oversell. Both models got identical code and the same prompt, with an automated test suite verifying every fix over the live API. Both went 4/4, but by the time Kimi K3 finished all 4, GPT 5.6 had only fixed 2. Kimi wrapped in under half the time, at half the cost. Kimi K3: 1min 34s · $0.1 · 4/4 GPT 5.6 Sol: 4min 6s · $0.2 · 4/4

GMI Cloud

24,606 görüntüleme • 24 gün önce

Kimi K3 just jumped 17 places to #1 on Arena.ai's Frontend Code Arena. So we gave it real client work to see where leaderboards meet reality: >10 landing page briefs, >judged blind by 8 working designers >against GPT 5.6 Sol, Gemini 3.5 Flash, and Claude Fable 5. It tied the best model in the study. And on detailed briefs, it won. Details in 🧵:
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Kimi K3 just jumped 17 places to #1 on Arena.ai's Frontend Code Arena. So we gave it real client work to see where leaderboards meet reality: >10 landing page briefs, >judged blind by 8 working designers >against GPT 5.6 Sol, Gemini 3.5 Flash, and Claude Fable 5. It tied the best model in the study. And on detailed briefs, it won. Details in 🧵:

ben

13,451 görüntüleme • 21 gün önce

Most benchmarks just give you a number on a chart. We made one where you judge the actual work side-by-side. Here's Fable 5 vs GPT-5.6 Sol on a mix of design, writing, and creative work. Try Hyperbench and choose your winner:
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Most benchmarks just give you a number on a chart. We made one where you judge the actual work side-by-side. Here's Fable 5 vs GPT-5.6 Sol on a mix of design, writing, and creative work. Try Hyperbench and choose your winner:

Hyperagent

124,112 görüntüleme • 1 ay önce

HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5
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HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5

YanXbt

16,744 görüntüleme • 20 gün önce

🎯 WATCH where we struck in both Iran and Yemen: This is what the scale of our operational activity to eliminate Iran’s influence across the region looks like:
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🎯 WATCH where we struck in both Iran and Yemen: This is what the scale of our operational activity to eliminate Iran’s influence across the region looks like:

Israel Defense Forces

2,595,424 görüntüleme • 1 yıl önce

I tested Kimi K3 vs Claude Opus 4.8 Same prompt, an armory bay with lighting, props, and detail. Top is Kimi K3, bottom is Opus 4.8. It's not even close. Kimi K3 built a full scene with textures, proper lighting, ammo crates, weapon racks, working detail everywhere. Opus 4.8 gave me a near empty room with a couple of floating tables. No doubt it beats Opus 4.8. Kimi K3 is Fable 5 level, and it's clearly better than GPT-5.6 Sol at 3D and games. An open weight model just matched the best closed models on the market. Let that sink in.
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I tested Kimi K3 vs Claude Opus 4.8 Same prompt, an armory bay with lighting, props, and detail. Top is Kimi K3, bottom is Opus 4.8. It's not even close. Kimi K3 built a full scene with textures, proper lighting, ammo crates, weapon racks, working detail everywhere. Opus 4.8 gave me a near empty room with a couple of floating tables. No doubt it beats Opus 4.8. Kimi K3 is Fable 5 level, and it's clearly better than GPT-5.6 Sol at 3D and games. An open weight model just matched the best closed models on the market. Let that sink in.

Bhavy☄️

471,577 görüntüleme • 28 gün önce

Grok 4.5 barely had time to enjoy first place. Grok 4.5 Medium just took the top spot on LaurenBench with 56.9%, beating Claude Sonnet 5, Claude Opus 5, GLM 5.2 and GPT 5.6 on real world agent tasks. And Elon says Grok 4.6 arrives next week. Looks like Grok 4.5 won’t be in the spotlight for long. xAI Grok / Writer: Annette, Grok Imagine Designer: Janné
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Grok 4.5 barely had time to enjoy first place. Grok 4.5 Medium just took the top spot on LaurenBench with 56.9%, beating Claude Sonnet 5, Claude Opus 5, GLM 5.2 and GPT 5.6 on real world agent tasks. And Elon says Grok 4.6 arrives next week. Looks like Grok 4.5 won’t be in the spotlight for long. xAI Grok / Writer: Annette, Grok Imagine Designer: Janné

Mario Nawfal

64,010 görüntüleme • 14 gün önce

Qwen 3.7-max beats Opus 4.7 and GPT-5.5 We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head. Qwen 3.7-Max: training cost $1.32, bot improvement +56% Claude Opus 4.7: training cost $12.15, bot improvement +28% GPT-5.5: training cost $2.85, bot improvement +7% Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.
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Qwen 3.7-max beats Opus 4.7 and GPT-5.5 We tested three frontier models on a real agentic task: write a Tetris bot that plays the game and trains itself. Each model could read its own code, run benchmarks, and rewrite itself across 10 iterations. Then we compared the final bots head to head. Qwen 3.7-Max: training cost $1.32, bot improvement +56% Claude Opus 4.7: training cost $12.15, bot improvement +28% GPT-5.5: training cost $2.85, bot improvement +7% Qwen won on every dimension - biggest jump, 9× cheaper than Claude, 2× cheaper than GPT. Long agentic loops is where Qwen Max actually delivers.

atomic.chat

868,583 görüntüleme • 2 ay önce

Good day Blocktos! 😆 Today marks the day we start an epic journey in joining the Solana Blockchain! Effective immediately, the $OTSEA token is tradable on Solana via Wormhole. Wormhole allows for our $OTSEA token to be traded on both blockchains using the same existing supply that we have on ETH 🌊 ⭐️ SOL: BK4axasUF9x14og6NWRb4Ur8y8je4vabL4wHoTNq6zZo ⭐️ ETH: 0x5dA151B95657e788076D04d56234Bd93e409CB09 Soon, the OTSea platform will support Solana orders, along with a leaderboards and ranking system, offering a slippage-free way of trading for all Solana users. Furthermore, we will be offering fee share to all projects on Solana that we partner with, enabling even 0/0 tax tokens to start earning for their treasuries. Ahoy! P.S. - have you noticed any new updates to our website? 🧐
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Good day Blocktos! 😆 Today marks the day we start an epic journey in joining the Solana Blockchain! Effective immediately, the $OTSEA token is tradable on Solana via Wormhole. Wormhole allows for our $OTSEA token to be traded on both blockchains using the same existing supply that we have on ETH 🌊 ⭐️ SOL: BK4axasUF9x14og6NWRb4Ur8y8je4vabL4wHoTNq6zZo ⭐️ ETH: 0x5dA151B95657e788076D04d56234Bd93e409CB09 Soon, the OTSea platform will support Solana orders, along with a leaderboards and ranking system, offering a slippage-free way of trading for all Solana users. Furthermore, we will be offering fee share to all projects on Solana that we partner with, enabling even 0/0 tax tokens to start earning for their treasuries. Ahoy! P.S. - have you noticed any new updates to our website? 🧐

OTSea

24,237 görüntüleme • 2 yıl önce

Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.
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Salute to the Qwen team 🫡 We tested Qwen 3.7-Max, Gemini 3.5 Flash, GPT-5.5, and Claude Opus 4.7. The biggest shock came from Qwen. In less than a month (3.6 Max dropped April 20), Qwen went from the worst multimodal output on our sakura tree test, barely keeping up with Gemini, GPT, and Claude , to matching Gemini 3.5 Flash frame for frame on this soccer test, and outperforming GPT-5.5 and Claude Opus 4.7. It rendered a perfectly proportioned soccer player and the most lifelike ball in the entire test. Remarkable spatial reasoning. Also: Gemini 3.5 Flash is now faster than GPT-5.5, which used to be the fastest in our past tests.

GMI Cloud

75,785 görüntüleme • 2 ay önce

1-bit Kimi K3 performs at Opus 5 level on 3D physics! We ran our Atomic Chat quant of Kimi K3 locally on 4x B200 against three cloud models and gave them all the same task, to build a giant anvil drop test as a single HTML file with real physics Outputs: K3 1bit (local): 15.8K tokens, $0 API cost Kimi K3 (API): 15.3K tokens, $0.30 API cost Opus 5: 22.8K tokens, $0.77 API cost GPT 5.6: 14.5K tokens, $0.72 API cost All four got the physics right. But only Kimi made a working winch. The drum turns and the chain drags the flat car off the pad. Opus 5 drew the most detail, road markings and sparks on the hit. And you can run a model at this level on your own box now. That still feels insane to us
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1-bit Kimi K3 performs at Opus 5 level on 3D physics! We ran our Atomic Chat quant of Kimi K3 locally on 4x B200 against three cloud models and gave them all the same task, to build a giant anvil drop test as a single HTML file with real physics Outputs: K3 1bit (local): 15.8K tokens, $0 API cost Kimi K3 (API): 15.3K tokens, $0.30 API cost Opus 5: 22.8K tokens, $0.77 API cost GPT 5.6: 14.5K tokens, $0.72 API cost All four got the physics right. But only Kimi made a working winch. The drum turns and the chain drags the flat car off the pad. Opus 5 drew the most detail, road markings and sparks on the hit. And you can run a model at this level on your own box now. That still feels insane to us

atomic.chat

53,648 görüntüleme • 13 gün önce

SOMEONE BENCHMARKED 10 MODELS ON STACKING BLOCKS IN A PHYSICS SIM its basically jenga in reverse every block you place could topple the whole tower, and going higher always means more risk > opus 5 hit 11.07m using only 15 blocks, then ended its turn to lock in the score instead of gambling for one more > gpt got 30 blocks in and only reached 7.92m, kept pushing and the top of the tower buckled > deepseek went for maximum risk on every single placement, all 30 blocks, and still only got to 8.18m > kimi used all 30 blocks and finished at 4.88m > the top 3 were all claude models so the winner used half the blocks and still built the tallest thing on the board theres a genius constraint too, you can know exactly where a block will land, or exactly how fast its moving, but never both everyones asking for a jenga version next where the models sabotage each other
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SOMEONE BENCHMARKED 10 MODELS ON STACKING BLOCKS IN A PHYSICS SIM its basically jenga in reverse every block you place could topple the whole tower, and going higher always means more risk > opus 5 hit 11.07m using only 15 blocks, then ended its turn to lock in the score instead of gambling for one more > gpt got 30 blocks in and only reached 7.92m, kept pushing and the top of the tower buckled > deepseek went for maximum risk on every single placement, all 30 blocks, and still only got to 8.18m > kimi used all 30 blocks and finished at 4.88m > the top 3 were all claude models so the winner used half the blocks and still built the tallest thing on the board theres a genius constraint too, you can know exactly where a block will land, or exactly how fast its moving, but never both everyones asking for a jenga version next where the models sabotage each other

Om Patel

16,221 görüntüleme • 7 gün önce

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.
0:18

Grok 4.5 performed GPT Sol level for free! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics demos Prompts: -robot deathmatch, Tombstone vs Minotaur -a hydraulic press flattening stuff on a conveyor -a semi truck jumping a canyon Outputs: GPT-5.6 Sol: 12.9K tokens, $0.51 (~7 min) Grok 4.5: 10.8K tokens, $0 (~5 min) Muse Spark 1.1: 26.8K tokens, $0.12 (~7.5 min) GLM 5.2: 10.9K tokens, $0.02 (~12 min) Grok 4.5 handled all three scenes genuinely well and got surprisingly close to GPT-5.6 this round. On top of that, it ran on the free tier. GPT-5.6 Sol, the frontier model, put out solid but not standout work. GLM 5.2 rendered all three scenes for pennies, but it came out the roughest of the four. Meta's new Muse Spark burned the most tokens yet still stayed cheap, delivering an average result.

atomic.chat

70,490 görüntüleme • 1 ay önce

The web’s next user isn’t human. AIs will soon use the internet far more than humans ever have. At Parallel, we are building for the web’s second user. Our API is the first to surpass humans and all leading AI models (including GPT-5) on deep web research tasks.
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The web’s next user isn’t human. AIs will soon use the internet far more than humans ever have. At Parallel, we are building for the web’s second user. Our API is the first to surpass humans and all leading AI models (including GPT-5) on deep web research tasks.

Parallel Web Systems

670,926 görüntüleme • 1 yıl önce

June 4th, 1994 our lives forever changed. We said, “I do!”. With those two words, we said, yes, to all the highs, the lows, and everything in between. God has blessed us with four absolutely amazing children who are now amazing adults, with their own best friends/significant others (that they’re doing life with), we have three incredible grandsons, and a beautiful granddaughter on the way. We’ve lived where we both grew up (on the East Coast), and have now been out here in San Diego for just over 11 years. We’ve gotten jobs (and lost jobs), we’ve had more times than we can count where we couldn’t make ends meet, even though both you and I were working two, and sometimes three jobs at a time, and we’ve been blessed in ways that we could’ve never dreamed of. We’ve watched both my parents pass on, and are now dealing with the overwhelmingly difficult challenge of seeing your parents struggle with their own health in ways that no one should have to go through. Through it all (even in the midst of the chaos), we’ve been blessed to be by each other‘s sides! I thank God for you every day, Jillian! I love our adventures together (the big ones where we fly to somewhere we’ve never been before, and the little ones where we hop in the car with no agenda, and just drive). I love when we find ourselves in deeper conversation, laughter, and tears of joy then ever expected, and in the moments of silence, where no words are even spoken, but when we’re together, just being where our feet are. As the world (as we know it), keeps getting crazier and crazier, let’s continue to keep Christ in the center of all we do, keep leaning on and lifting each other up when it’s needed, and keep living the lives that we have been so incredibly blessed to live together. I love you with all my heart Jillian. Happy 32nd (heading into our 33rd year), Anniversary.
0:15

June 4th, 1994 our lives forever changed. We said, “I do!”. With those two words, we said, yes, to all the highs, the lows, and everything in between. God has blessed us with four absolutely amazing children who are now amazing adults, with their own best friends/significant others (that they’re doing life with), we have three incredible grandsons, and a beautiful granddaughter on the way. We’ve lived where we both grew up (on the East Coast), and have now been out here in San Diego for just over 11 years. We’ve gotten jobs (and lost jobs), we’ve had more times than we can count where we couldn’t make ends meet, even though both you and I were working two, and sometimes three jobs at a time, and we’ve been blessed in ways that we could’ve never dreamed of. We’ve watched both my parents pass on, and are now dealing with the overwhelmingly difficult challenge of seeing your parents struggle with their own health in ways that no one should have to go through. Through it all (even in the midst of the chaos), we’ve been blessed to be by each other‘s sides! I thank God for you every day, Jillian! I love our adventures together (the big ones where we fly to somewhere we’ve never been before, and the little ones where we hop in the car with no agenda, and just drive). I love when we find ourselves in deeper conversation, laughter, and tears of joy then ever expected, and in the moments of silence, where no words are even spoken, but when we’re together, just being where our feet are. As the world (as we know it), keeps getting crazier and crazier, let’s continue to keep Christ in the center of all we do, keep leaning on and lifting each other up when it’s needed, and keep living the lives that we have been so incredibly blessed to live together. I love you with all my heart Jillian. Happy 32nd (heading into our 33rd year), Anniversary.

Coach Hines 🇺🇸

10,530 görüntüleme • 2 ay önce

It's never been a better time to be creative. (ever) The two best frontier models (ever) have been released within 30 days of each other. Here’s what we learned from running 4 frontier models head to head. >Sol has taste and Fable takes direction. 10 identical landing page briefs, judged blind by working creatives. GPT 5.6 Sol won 82% on loose briefs. But when handed a real design spec it finished last. 🧵
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It's never been a better time to be creative. (ever) The two best frontier models (ever) have been released within 30 days of each other. Here’s what we learned from running 4 frontier models head to head. >Sol has taste and Fable takes direction. 10 identical landing page briefs, judged blind by working creatives. GPT 5.6 Sol won 82% on loose briefs. But when handed a real design spec it finished last. 🧵

ben

35,609 görüntüleme • 1 ay önce

2026 Dab Rig Awards! We break devices down by what they’re best at... flavor, power, portability, and more. STOP guessing, match your E Rig to your style! Watch the full ranking on our YouTube channel for the complete breakdown.
0:13

2026 Dab Rig Awards! We break devices down by what they’re best at... flavor, power, portability, and more. STOP guessing, match your E Rig to your style! Watch the full ranking on our YouTube channel for the complete breakdown.

TVape

63,184 görüntüleme • 6 ay önce

It’s time for a change. A big one, in fact, as we’re embarking on the next chapter of our journey, focused on groundbreaking implementations of AI both in trading and on-chain. We’ve been building behind the scenes for a while, and now it’s time to reveal all-new products that go above and beyond our previous roadmap. To reflect this, we’re also revamping our brand identity and becoming Numerico. The token ticker $NWC and contract addresses will remain the same, but the name has been changed. We’re incredibly grateful for your support all these years as the NewsCrypto community, and we’re excited to have you with us at We are determined and ready to reshape the way we implement AI, with groundbreaking applications both in trading and on-chain. Exciting times ahead!
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It’s time for a change. A big one, in fact, as we’re embarking on the next chapter of our journey, focused on groundbreaking implementations of AI both in trading and on-chain. We’ve been building behind the scenes for a while, and now it’s time to reveal all-new products that go above and beyond our previous roadmap. To reflect this, we’re also revamping our brand identity and becoming Numerico. The token ticker $NWC and contract addresses will remain the same, but the name has been changed. We’re incredibly grateful for your support all these years as the NewsCrypto community, and we’re excited to have you with us at We are determined and ready to reshape the way we implement AI, with groundbreaking applications both in trading and on-chain. Exciting times ahead!

NumericoAI

71,227 görüntüleme • 2 yıl önce