正在加载视频...

视频加载失败

返回首页

Claude Opus -> GLM 5.2 in under 10 seconds dcode isn't just provider-agnostic. it makes the cross-model experience *nice*

its_ao's profile picture

Alex Olsen

2,307 subscribers

23,028 次观看 • 1 个月前 •via X (Twitter)

音乐科学技术
LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Holy Smokes GLM 5.2 beats Opus in many webdev task😳 This is the best open model , according to jietang said FABLE like model from them before Q1 2027 . i can trust them , just make glm fat with vision we will have fable Left Right
0:13

Holy Smokes GLM 5.2 beats Opus in many webdev task😳 This is the best open model , according to jietang said FABLE like model from them before Q1 2027 . i can trust them , just make glm fat with vision we will have fable Left Right

Chetaslua

22,917 次观看 • 1 个月前

You can now use GLM 5.2 in Omma Canvas. Strong model for frontend generation. Enable it on canvas using the "Higher" mode.
0:19

You can now use GLM 5.2 in Omma Canvas. Strong model for frontend generation. Enable it on canvas using the "Higher" mode.

Omma AI

13,059 次观看 • 1 个月前

To make it easier to migrate your workflows, we've updated the claude-api skill in Claude Code with Opus 4.7 support. Just say "migrate to Opus 4.7" and it updates model names, prompts, and effort settings for you.
0:11

To make it easier to migrate your workflows, we've updated the claude-api skill in Claude Code with Opus 4.7 support. Just say "migrate to Opus 4.7" and it updates model names, prompts, and effort settings for you.

ClaudeDevs

362,268 次观看 • 4 个月前

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
0:15

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 次观看 • 15 天前

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.
0:11

This free model just beat every closed-source AI on coding benchmarks. Open weights. 6x cheaper than Opus. The labs don't want you to know it exists. > GLM-5.2 from Zai just topped Code Arena - the first open-weights model to ever hold the #1 coding spot. Not a leaked weight, not a fine-tune. A fully open model beating GPT and Claude on their own turf. It's live on Hugging Face Inference API right now. 5 providers: Novita, Together AI, Fireworks, Deepinfra, Zai. OpenAI-compatible client. → Go to huggingface(.)co → grab HF_TOKEN from account settings → plug into any OpenAI-compatible client 6x cheaper than Opus. Companies bleeding on AI bills are already routing to this for orchestration, caching, and token optimization. The smart money moved before the headline dropped. > Now you know. huggingface(.)co/zai-org/GLM-5.2 Bookmark this before everyone else figures it out.

Atenov int.

12,395 次观看 • 1 个月前

Claude Opus 4.6 is available for all users in Orchids right now! Tag Orchids with any app idea and we’ll give you 100k in free credits to test it out. Comparisons to Opus 4.5, GPT-5.2-Codex, Gemini 3 Flash, and Kimi K2.5 👇 Prompt: Make me an interactive, 3d model of the solar system.
0:14

Claude Opus 4.6 is available for all users in Orchids right now! Tag Orchids with any app idea and we’ll give you 100k in free credits to test it out. Comparisons to Opus 4.5, GPT-5.2-Codex, Gemini 3 Flash, and Kimi K2.5 👇 Prompt: Make me an interactive, 3d model of the solar system.

Orchids

22,774 次观看 • 6 个月前

This is wild. Anthropic just dropped Claude 4 and it will completely change the AI coding game. 10 wild examples: 1. Flight simulator using Claude 4 Opus
0:19

This is wild. Anthropic just dropped Claude 4 and it will completely change the AI coding game. 10 wild examples: 1. Flight simulator using Claude 4 Opus

Min Choi

966,437 次观看 • 1 年前

so claude code now... > writes the code > opens the app it just built > clicks through every screen > finds the bugs itself > fixes them > repeats until it works nice
0:14

so claude code now... > writes the code > opens the app it just built > clicks through every screen > finds the bugs itself > fixes them > repeats until it works nice

J.B.

1,349,988 次观看 • 4 个月前

claude fable 5 has solved CAD I asked it to make a model of a V8 engine It came back to me with a fully working model in under 10 minutes
0:11

claude fable 5 has solved CAD I asked it to make a model of a V8 engine It came back to me with a fully working model in under 10 minutes

Aaron Li

866,628 次观看 • 2 个月前

Did you know this about working with Claude Code and plans? /plan - get the current sessions's place /plan open - open the plan in markdown This helps you retrieve what Claude is doing, which is now easily accesed in ~/.claude/plans I'm actually now getting GPT 5.2 to implement the Opus 4.5 plan because I just hit rate limits 🤣
0:16

Did you know this about working with Claude Code and plans? /plan - get the current sessions's place /plan open - open the plan in markdown This helps you retrieve what Claude is doing, which is now easily accesed in ~/.claude/plans I'm actually now getting GPT 5.2 to implement the Opus 4.5 plan because I just hit rate limits 🤣

Chong-U

61,757 次观看 • 7 个月前

LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleaner collisions, nothing clipping or falling through. On detail and rendering it matched GPT 5.5, the best looking of the four. Getting this quality for free is wild!
0:16

LongCat performed Opus 4.8 and GPT 5.5 level on real physics tasks for $0! We gave 4 models the same prompt: build three self-contained HTML5 canvas scenes with real physics Prompts: - A cannon demolishing a brick wall - A bowling ball knocking down the pins - A tornado that sucks in random objects Outputs: LongCat: 18,015 tokens, $0.00 Opus 4.8: 18,872 tokens, $0.48 GPT 5.5: 32,588 tokens, $0.98 GLM 5.2: 31,062 tokens, $0.09 On the physics LongCat came out ahead of Opus 4.8 and GLM 5.2 - cleaner collisions, nothing clipping or falling through. On detail and rendering it matched GPT 5.5, the best looking of the four. Getting this quality for free is wild!

atomic.chat

105,523 次观看 • 1 个月前

Tried to extend the previous video (second video from 10 seconds) but the quality goes to shit fast and also it isn't continuous, but nice we tried!
0:17

Tried to extend the previous video (second video from 10 seconds) but the quality goes to shit fast and also it isn't continuous, but nice we tried!

@levelsio

43,174 次观看 • 1 年前

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
0:10

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 次观看 • 21 天前

Open weights just caught up to the frontier. GLM-5.2 from Z.ai tops the open-model rankings on Artificial Analysis and Arena.ai's Agent Arena. It's now live on CoreWeave Serverless Inference at $1.39 in and $4.40 out per 1M tokens. Ship more for less.
0:18

Open weights just caught up to the frontier. GLM-5.2 from Z.ai tops the open-model rankings on Artificial Analysis and Arena.ai's Agent Arena. It's now live on CoreWeave Serverless Inference at $1.39 in and $4.40 out per 1M tokens. Ship more for less.

CoreWeave

16,637 次观看 • 1 个月前

Claude Opus 5 just made the best Remotion video I have ever seen. Perfect transitions. Music timing locked to the frame. Branding nailed without me asking. Fable 5 held this crown for months. Opus 5 took it in one prompt. Opus 5 significantly outperforms Fable 5 at marketing videos, and it is not close. Watch this and remember Opus 5 made it.
0:20

Claude Opus 5 just made the best Remotion video I have ever seen. Perfect transitions. Music timing locked to the frame. Branding nailed without me asking. Fable 5 held this crown for months. Opus 5 took it in one prompt. Opus 5 significantly outperforms Fable 5 at marketing videos, and it is not close. Watch this and remember Opus 5 made it.

BridgeMind

186,428 次观看 • 21 天前

I finally got an open model to do structural biology by itself 🔥 GLM-5.2 drives the Mol* viewer, judges its own render through Qwen3-VL, and refines until the drug pops in its pocket. Then I spun it in 3D. All open, on Hugging Face. What should it build next?
0:13

I finally got an open model to do structural biology by itself 🔥 GLM-5.2 drives the Mol* viewer, judges its own render through Qwen3-VL, and refines until the drug pops in its pocket. Then I spun it in 3D. All open, on Hugging Face. What should it build next?

Maziyar PANAHI

61,651 次观看 • 1 个月前

I literally don't use Claude anymore... Just Claude Code and Codex in the web. This is a presentation I had Opus generate after doing research... And if you save the prompt you can have it generate in any style you want.
0:15

I literally don't use Claude anymore... Just Claude Code and Codex in the web. This is a presentation I had Opus generate after doing research... And if you save the prompt you can have it generate in any style you want.

Riley Brown

118,000 次观看 • 11 个月前

Claude Code's effort parameter is something you need to keep in mind before starting any task It's not just about picking the right model anymore (Haiku, Sonnet, Opus). Now you also need to think about which effort level to use before each task. One tip I always go back to: when Opus can't solve a problem, just adding ultrathink makes things click, it's almost magic. We wrote a post at Hedgineer benchmarking each effort level by cost and time Read it here:
0:10

Claude Code's effort parameter is something you need to keep in mind before starting any task It's not just about picking the right model anymore (Haiku, Sonnet, Opus). Now you also need to think about which effort level to use before each task. One tip I always go back to: when Opus can't solve a problem, just adding ultrathink makes things click, it's almost magic. We wrote a post at Hedgineer benchmarking each effort level by cost and time Read it here:

Daniel San

66,147 次观看 • 5 个月前

> spend 5 hours on a project > claude does it in 15 minutes > "yeah but it's not the same" > it's the same > you can't tell > client can't tell > nobody can tell > you just lost 5 hours denying ai > claude won again
0:11

> spend 5 hours on a project > claude does it in 15 minutes > "yeah but it's not the same" > it's the same > you can't tell > client can't tell > nobody can tell > you just lost 5 hours denying ai > claude won again

darkzodchi

1,213,347 次观看 • 4 个月前

> spent 14 years doing SEO. > then built this 20-prompt system in Claude > Claude just did 30 hours of SEO work before lunch > it didn't have to be like this > 20 prompts. the game has changed.
0:14

> spent 14 years doing SEO. > then built this 20-prompt system in Claude > Claude just did 30 hours of SEO work before lunch > it didn't have to be like this > 20 prompts. the game has changed.

Sarvesh Shrivastava

41,945 次观看 • 2 个月前