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We’ve improved prompt caching in the API for GPT-6, helping agents run faster and cost less. Higher cache-hit rates by default mean more input tokens benefit from cached-input discounts of up to 90%.

OpenAI Developers

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94,646 次观看 • 6 天前 •via X (Twitter)

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I used GPT-6 Astra Ultra to track a tennis ball. The results are impressive until I tell you the following. Ball annotation, using 3 parallel agents took 8m 35s and 17,611 tokens. Complete workflow: 11m 49s and 30,481 tokens. The complete workflow also processed 313,914 uncached input tokens and 7,528,320 cached input tokens. That's a total of 7.87 million total, mostly context reused across frame-inspection calls.

I used GPT-6 Astra Ultra to track a tennis ball. The results are impressive until I tell you the following. Ball annotation, using 3 parallel agents took 8m 35s and 17,611 tokens. Complete workflow: 11m 49s and 30,481 tokens. The complete workflow also processed 313,914 uncached input tokens and 7,528,320 cached input tokens. That's a total of 7.87 million total, mostly context reused across frame-inspection calls.

Satya Mallick

1,118,522 次观看 • 22 天前

We’ve seen great results using GPT-4 for content policy development and content moderation, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators. Built on top of the GPT-4 API:

We’ve seen great results using GPT-4 for content policy development and content moderation, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators. Built on top of the GPT-4 API:

OpenAI

902,486 次观看 • 3 年前

Shopify is building the foundation for agentic commerce. Universal Commerce Protocol, which we co-developed with Google, is now live. UCP will make it faster for agents and retailers to integrate. It’s open by default, so platforms and agents can use UCP to start transacting with any merchant. Major retailers are already using it. Agents can handle everything from discovery to fulfillment, and support things like discounts, subscriptions, and loyalty programs. We’ve accounted for all types of commerce.

Shopify is building the foundation for agentic commerce. Universal Commerce Protocol, which we co-developed with Google, is now live. UCP will make it faster for agents and retailers to integrate. It’s open by default, so platforms and agents can use UCP to start transacting with any merchant. Major retailers are already using it. Agents can handle everything from discovery to fulfillment, and support things like discounts, subscriptions, and loyalty programs. We’ve accounted for all types of commerce.

tobi lutke

894,459 次观看 • 8 个月前

China is literally on 🔥 Baidu from China has launched ERNIE 4.5 and ERNIE X1 and it’s freaking cheap . Here is everything you need to know. ERNIE 4.5 - Native multimodal and Outperforms GPT 4.5 in multiple benchmarks at just 1% of GPT 4.5 price - OpenAI GPT 4.5 – Input: $75 / 1M tokens, Output: $150 / 1M tokens; - ERNIE 4.5 – Input: $0.55 / 1M tokens, Output: $2.20 / 1M tokens ERNIE X1 - A deep thinking reasoning model with multimodal capabilities on par with DeepSeek R1 at only half the price See it in action and check out the pricing details👇 📹 source : yiyan[.]baidu[.]com 1/6 ERNIE 4.5 is a multimodal which can take Audio files as well.

China is literally on 🔥 Baidu from China has launched ERNIE 4.5 and ERNIE X1 and it’s freaking cheap . Here is everything you need to know. ERNIE 4.5 - Native multimodal and Outperforms GPT 4.5 in multiple benchmarks at just 1% of GPT 4.5 price - OpenAI GPT 4.5 – Input: $75 / 1M tokens, Output: $150 / 1M tokens; - ERNIE 4.5 – Input: $0.55 / 1M tokens, Output: $2.20 / 1M tokens ERNIE X1 - A deep thinking reasoning model with multimodal capabilities on par with DeepSeek R1 at only half the price See it in action and check out the pricing details👇 📹 source : yiyan[.]baidu[.]com 1/6 ERNIE 4.5 is a multimodal which can take Audio files as well.

AshutoshShrivastava

324,324 次观看 • 1 年前

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

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

53,845 次观看 • 1 个月前

GLM 5.2 INPUT FELL FROM $1.40 TO SEVEN CENTS PER MILLION IN NINETY DAYS • what it costs now > $0.07 per million input at the cheapest of 20 providers, a 95% drop in three months. > direct still lists $1.40 in and $4.40 out, with cached input at $0.26. > Same model, same weights, twenty-fold spread depending on the door you walk through. • the free way in > New accounts on get 20M tokens: > 744B MoE, 1M context, MIT weights you can also just download and self-host. Nobody announced this. It happened one provider at a time -> and the model itself never changed. Check which provider you are actually routed through before you top up anywhere ↓

GLM 5.2 INPUT FELL FROM $1.40 TO SEVEN CENTS PER MILLION IN NINETY DAYS • what it costs now > $0.07 per million input at the cheapest of 20 providers, a 95% drop in three months. > direct still lists $1.40 in and $4.40 out, with cached input at $0.26. > Same model, same weights, twenty-fold spread depending on the door you walk through. • the free way in > New accounts on get 20M tokens: > 744B MoE, 1M context, MIT weights you can also just download and self-host. Nobody announced this. It happened one provider at a time -> and the model itself never changed. Check which provider you are actually routed through before you top up anywhere ↓

slash1s

30,276 次观看 • 1 个月前

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

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

24,715 次观看 • 2 个月前

🚨🇺🇸 THE FED JUST RAISED RATES TO 3.75–4.00% THE FIRST HIKE SINCE JULY 2023 RATES GO UP → MORTGAGES, CREDIT CARDS AND BUSINESS LOANS COST MORE → MORE MONEY DISAPPEARS INTO INTEREST → PEOPLE BUY LESS AND COMPANIES GROW LESS → PROFITS GET HIT THEN COMES THE SECOND HIT CASH AND BONDS NOW PAY MORE → INVESTORS HAVE LESS REASON TO HOLD EXPENSIVE STOCKS AND CRYPTO AND THE FED IS ALREADY POINTING TO ANOTHER HIKE BEFORE YEAR-END MARKETS SPENT MONTHS WAITING FOR CHEAPER MONEY WARSH JUST PUSHED IT EVEN FURTHER AWAY

🚨🇺🇸 THE FED JUST RAISED RATES TO 3.75–4.00% THE FIRST HIKE SINCE JULY 2023 RATES GO UP → MORTGAGES, CREDIT CARDS AND BUSINESS LOANS COST MORE → MORE MONEY DISAPPEARS INTO INTEREST → PEOPLE BUY LESS AND COMPANIES GROW LESS → PROFITS GET HIT THEN COMES THE SECOND HIT CASH AND BONDS NOW PAY MORE → INVESTORS HAVE LESS REASON TO HOLD EXPENSIVE STOCKS AND CRYPTO AND THE FED IS ALREADY POINTING TO ANOTHER HIKE BEFORE YEAR-END MARKETS SPENT MONTHS WAITING FOR CHEAPER MONEY WARSH JUST PUSHED IT EVEN FURTHER AWAY

Leshka.eth ⛩

423,919 次观看 • 12 天前

Agentz is a revolutionary platform that merges personalized AI agents with a user-driven marketplace, creating a dynamic ecosystem for AI development. Users benefit from customized AI agents that enhance productivity across various tasks while simultaneously contributing to the evolution of AI. This collaborative model creates a continuous improvement cycle, where user input refines AI performance, and enhanced AI capabilities draw in more users. By bridging the gap between AI consumers and contributors, Agentz is pioneering a new paradigm in artificial intelligence. The platform empowers every user to benefit from and actively participate in shaping AI technology, driving a future where AI is both user-driven and continuously evolving. Agentz is incubated by the DePIN AI Intel Layer - Rivalz Network, to guarantee state of the art data management and privacy.

Agentz is a revolutionary platform that merges personalized AI agents with a user-driven marketplace, creating a dynamic ecosystem for AI development. Users benefit from customized AI agents that enhance productivity across various tasks while simultaneously contributing to the evolution of AI. This collaborative model creates a continuous improvement cycle, where user input refines AI performance, and enhanced AI capabilities draw in more users. By bridging the gap between AI consumers and contributors, Agentz is pioneering a new paradigm in artificial intelligence. The platform empowers every user to benefit from and actively participate in shaping AI technology, driving a future where AI is both user-driven and continuously evolving. Agentz is incubated by the DePIN AI Intel Layer - Rivalz Network, to guarantee state of the art data management and privacy.

Church of The Overseer

68,368 次观看 • 2 年前

Open-weight LongCat 2.0 matched GPT-5.5 level on agentic game dev for $0! We ran Meituan's LongCat 2.0 against cloud frontier GPT-5.5 in Kilo CLI with their agent. Same task for both - build a retro Duck Hunt game in one game.html, improved over 3 agent iterations with duck waves, ammo and physics Outputs: LongCat 2.0: 70.3K tokens, $0.00 GPT-5.5: 64.9K tokens, $0.65 LongCat kept up on graphics, physics and game logic. Ducks fly and fall when hit, the dog fetches them, ammo counts down, the waves keep coming. Both ran clean and nothing clipped. The only difference was the bill - GPT cost $0.65, LongCat ran local for $0

Open-weight LongCat 2.0 matched GPT-5.5 level on agentic game dev for $0! We ran Meituan's LongCat 2.0 against cloud frontier GPT-5.5 in Kilo CLI with their agent. Same task for both - build a retro Duck Hunt game in one game.html, improved over 3 agent iterations with duck waves, ammo and physics Outputs: LongCat 2.0: 70.3K tokens, $0.00 GPT-5.5: 64.9K tokens, $0.65 LongCat kept up on graphics, physics and game logic. Ducks fly and fall when hit, the dog fetches them, ammo counts down, the waves keep coming. Both ran clean and nothing clipped. The only difference was the bill - GPT cost $0.65, LongCat ran local for $0

atomic.chat

40,046 次观看 • 2 个月前

50 SUI tokens. Now integrated in Ledger Live. From DeepBook Protocol on Sui and Lofi The Yeti to Agora and Bluefin, you can now manage 50 Sui-based tokens directly in Ledger Live. 🔐 Self-custody, by default 📲 Secure, seamless in-app management 🚀 All in one place More tokens. Same peace of mind.

50 SUI tokens. Now integrated in Ledger Live. From DeepBook Protocol on Sui and Lofi The Yeti to Agora and Bluefin, you can now manage 50 Sui-based tokens directly in Ledger Live. 🔐 Self-custody, by default 📲 Secure, seamless in-app management 🚀 All in one place More tokens. Same peace of mind.

Ledger

140,011 次观看 • 1 年前

Want to generate images from the world's best models like Nano Banana or GPT Image side by side? Now you can with Image Lab 🚀 Run a single prompt across up to 25 models, with up to 20 images from each, and see results in seconds. You've seen our leaderboards. Now generate and evaluate the models yourself. Link in thread 🧵👇

Want to generate images from the world's best models like Nano Banana or GPT Image side by side? Now you can with Image Lab 🚀 Run a single prompt across up to 25 models, with up to 20 images from each, and see results in seconds. You've seen our leaderboards. Now generate and evaluate the models yourself. Link in thread 🧵👇

Artificial Analysis

12,250 次观看 • 7 个月前

A TEAM JUST DEPLOYED 15 AUTONOMOUS LOOP AGENTS FROM A SINGLE PROMPT USING APPLIED GRAPH ENGINEERING Most developers still manually hardcode multi agent systems, writing separate logic for every individual task. Graph engineering changes this by using a central topological map to spin up all 15 nodes simultaneously. A single 200 word input generates the architecture, routing 120 unique pathways between agents instantly. Instead of failing under conflicting instructions, these loop agents self correct via continuous state sharing. Managing a 15 node mesh requires high token throughput, making this dependent on strict low-] latency API tiers. See exactly how this automated multi agent graph architecture actually operates in real time ↓

A TEAM JUST DEPLOYED 15 AUTONOMOUS LOOP AGENTS FROM A SINGLE PROMPT USING APPLIED GRAPH ENGINEERING Most developers still manually hardcode multi agent systems, writing separate logic for every individual task. Graph engineering changes this by using a central topological map to spin up all 15 nodes simultaneously. A single 200 word input generates the architecture, routing 120 unique pathways between agents instantly. Instead of failing under conflicting instructions, these loop agents self correct via continuous state sharing. Managing a 15 node mesh requires high token throughput, making this dependent on strict low-] latency API tiers. See exactly how this automated multi agent graph architecture actually operates in real time ↓

slash1s

302,390 次观看 • 2 个月前

How I use Claude Code and Remotion to make animated diagrams. Sorry, it's not a single prompt. 1. Find an input language the model knows well. For example, Mermaid for flowcharts. Claude writes it fluently, so it's my entry point. 2. Use Claude to build components that take that input and bake in the guardrails: design system, animation patterns, layout rules. 3. Now I can describe what I want in plain English e.g. "create a flowchart for the tier check section in the script", and Claude translates it to our input language: ``` flowchart TD t1[Tier 1 read-only] t2[Tier 2 in-project writes] t3[Tier 3 everything else] action[Action] --> t1 action --> t2 action --> t3 t1 --> skip([Skips classifier]) t2 --> skip t3 --> classifier{Classifier} classifier --> approve[Approve] classifier --> deny[Deny] ``` The component handles the rest: layout, styling, node and edge reveals. It also takes events for follow-ups like the trace dot that follows a path and lights up nodes. 4. To finish it off, I wrapped the board in a separate CRT shader component. It really helps to have a shared vocabulary with your agent. When I say "rise in fast on enter", it knows I mean fade in while translating up, from a set offset, faster than the default duration, with a specific bezier curve. For common language inspo: look into Matt Pocock `/grill-with-docs` and by Emil Kowalski and Glenn Hitchcock.

How I use Claude Code and Remotion to make animated diagrams. Sorry, it's not a single prompt. 1. Find an input language the model knows well. For example, Mermaid for flowcharts. Claude writes it fluently, so it's my entry point. 2. Use Claude to build components that take that input and bake in the guardrails: design system, animation patterns, layout rules. 3. Now I can describe what I want in plain English e.g. "create a flowchart for the tier check section in the script", and Claude translates it to our input language: ``` flowchart TD t1[Tier 1 read-only] t2[Tier 2 in-project writes] t3[Tier 3 everything else] action[Action] --> t1 action --> t2 action --> t3 t1 --> skip([Skips classifier]) t2 --> skip t3 --> classifier{Classifier} classifier --> approve[Approve] classifier --> deny[Deny] ``` The component handles the rest: layout, styling, node and edge reveals. It also takes events for follow-ups like the trace dot that follows a path and lights up nodes. 4. To finish it off, I wrapped the board in a separate CRT shader component. It really helps to have a shared vocabulary with your agent. When I say "rise in fast on enter", it knows I mean fade in while translating up, from a set offset, faster than the default duration, with a specific bezier curve. For common language inspo: look into Matt Pocock `/grill-with-docs` and by Emil Kowalski and Glenn Hitchcock.

Delba

61,247 次观看 • 3 个月前

Rolling out some awesome updates to Meta Ray-Ban Display, like teleprompter (clutch for public speaking) and EMG handwriting in early access. EMG handwriting is one of the best examples of how you and AI can co-evolve to develop over time a personalized input scheme that makes it faster and more reliable. Excited at the progress we continue to make ✍️

Rolling out some awesome updates to Meta Ray-Ban Display, like teleprompter (clutch for public speaking) and EMG handwriting in early access. EMG handwriting is one of the best examples of how you and AI can co-evolve to develop over time a personalized input scheme that makes it faster and more reliable. Excited at the progress we continue to make ✍️

Boz

94,182 次观看 • 8 个月前

BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.15) v1.0.15 makes Grok Bot faster and smoother. Sessions now open and close faster, first replies arrive sooner, typed input is handled better, and new tips make copying or exporting content easier. Features • Tip appears after repeated scrollback drag-copies suggesting /copy and /export commands. Bug Fixes • Session close is now faster because memory consolidation runs at the next launch instead of blocking exit. • Typed input including Enter during pager startup is now preserved and correctly interpreted as submit or newline. • Dock panel input and rollout now respect remote settings and correctly handle keyboard focus when hidden or empty. Performance • First reply latency is reduced by opening the model connection in the background when a session starts. • Signed-in startup is faster because an expired token refresh now begins in the background at agent spawn. • Creating a new session returns faster; MCP tools and other startup work happen in the background. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

BREAKING: SpaceXAI has released another major new update for Grok Build (v1.0.15) v1.0.15 makes Grok Bot faster and smoother. Sessions now open and close faster, first replies arrive sooner, typed input is handled better, and new tips make copying or exporting content easier. Features • Tip appears after repeated scrollback drag-copies suggesting /copy and /export commands. Bug Fixes • Session close is now faster because memory consolidation runs at the next launch instead of blocking exit. • Typed input including Enter during pager startup is now preserved and correctly interpreted as submit or newline. • Dock panel input and rollout now respect remote settings and correctly handle keyboard focus when hidden or empty. Performance • First reply latency is reduced by opening the model connection in the background when a session starts. • Signed-in startup is faster because an expired token refresh now begins in the background at agent spawn. • Creating a new session returns faster; MCP tools and other startup work happen in the background. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update

DogeDesigner

50,270 次观看 • 28 天前

Code mode lost by 39 seconds. It is supposed to be the faster way for agents to call MCP tools. Fewer round trips, smaller context. We raced it against classic tool calling on the same Linear task and it lost. The reason isn't a code mode problem. Most MCP servers ship input schemas and nothing else, so the agent knows exactly what to send and has to guess what comes back. It guessed wrong three times, and every wrong guess is a full extra turn. So we built a shape cache that remembers what each tool returns and carries it across sessions. Rematch: 27% faster than classic, 47% cheaper, 42% less context. Mark Hetherington on making [code]smith fast:

Code mode lost by 39 seconds. It is supposed to be the faster way for agents to call MCP tools. Fewer round trips, smaller context. We raced it against classic tool calling on the same Linear task and it lost. The reason isn't a code mode problem. Most MCP servers ship input schemas and nothing else, so the agent knows exactly what to send and has to guess what comes back. It guessed wrong three times, and every wrong guess is a full extra turn. So we built a shape cache that remembers what each tool returns and carries it across sessions. Rematch: 27% faster than classic, 47% cheaper, 42% less context. Mark Hetherington on making [code]smith fast:

Blacksmith

13,748 次观看 • 1 个月前

IT WORKS!!!!! FOFR shared a secret little new Nano Banana 2 feature Google snuck in with the full release of Nano Banana 2. I tweaked the prompt a bit to make sure it kept as close as possible to the input video. It may take a bit for third parties to enable this via API but I was able to do this on Gemini with a Seedance 2.0 video. Create a faithful 100% accurate anime direct adaptation image from 6 specific exact shots from this video include the exact matching dialogue

IT WORKS!!!!! FOFR shared a secret little new Nano Banana 2 feature Google snuck in with the full release of Nano Banana 2. I tweaked the prompt a bit to make sure it kept as close as possible to the input video. It may take a bit for third parties to enable this via API but I was able to do this on Gemini with a Seedance 2.0 video. Create a faithful 100% accurate anime direct adaptation image from 6 specific exact shots from this video include the exact matching dialogue

Brent Lynch

49,020 次观看 • 4 个月前

Build with GPT-6 Astra. Launch on Product Hunt on September 18. We've teamed up with OpenAI Developers for the GPT-6 Astra Challenge. The top five launches each win $10K in OpenAI API credits and a year of ChatGPT Pro for up to two team members. If you’re already building with Astra, this is a chance to share what you’ve made and put it in front of a wider audience. You can schedule your launch for Friday, September 18.

Build with GPT-6 Astra. Launch on Product Hunt on September 18. We've teamed up with OpenAI Developers for the GPT-6 Astra Challenge. The top five launches each win $10K in OpenAI API credits and a year of ChatGPT Pro for up to two team members. If you’re already building with Astra, this is a chance to share what you’ve made and put it in front of a wider audience. You can schedule your launch for Friday, September 18.

Product Hunt 😸

444,024 次观看 • 17 天前