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Showing 126–150 of 166 mentions
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🚨 CLAUDE OPUS 5.5 IS NOW LIVE ON https://t.co/8882F71uQS — BUILT FOR THE AGENTIC ERA. 🧠⚡ The first model in Anthropic’s new Claude 5.5 family has arrived on https://t.co/8882F71uQS, targeting demanding agentic coding, autonomous workflows, Computer Use, and complex knowledge work. 🔥 1M-token context window ⚡ Up to 12… 🚨 CLAUDE OPUS 5.5 IS NOW LIVE ON https://t.co/8882F71uQS — BUILT FOR THE AGENTIC ERA. 🧠⚡ The first model in Anthropic’s new Claude 5.5 family has arrived on https://t.co/8882F71uQS, targeting demanding agentic coding, autonomous workflows, Computer Use, and complex knowledge work. 🔥 1M-token context window ⚡ Up to 128K output tokens 🤖 Built for long-running agentic coding 🖥️ Advanced Computer Use & autonomous workflows 💰 ~40% lower running cost than Opus 5, according to the launch details And it’s ready across both https://t.co/8882F71uQS API + Web Chat. Longer context. Deeper workflows. More capable agents. One gateway through https://t.co/8882F71uQS. 🚀 Try Claude Opus 5.5 on https://t.co/8882F71uQS : https://t.co/03dbOApV8F Claude Opus 5.5 Documentation : https://t.co/HjH5iAwREW @justinsuntron @BAI_AGI #TRONEcostarview source ↗
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Claude Opus 5.5 arriving on https://t.co/UQWvo7ebXA represents another step in the evolution of AI-assisted software development. The key phrase is “long-running agentic coding.” Traditional coding assistants primarily helped developers generate snippets, explain functions, or debug isolated problems. Agentic coding … Claude Opus 5.5 arriving on https://t.co/UQWvo7ebXA represents another step in the evolution of AI-assisted software development. The key phrase is “long-running agentic coding.” Traditional coding assistants primarily helped developers generate snippets, explain functions, or debug isolated problems. Agentic coding introduces a much broader ambition: AI systems that can reason across repositories, execute multi-step development workflows, maintain context, and continue working toward larger engineering objectives. That requires a different class of model. A 1M-token context window can provide room for substantial project information, while up to 128K output tokens expands the scope of what can be produced within a single workflow. The real transformation may not be AI writing more code. It may be AI becoming capable of participating across much larger portions of the software development lifecycle—from understanding requirements and architecture to implementation, debugging, documentation, and iteration. Claude Opus 5.5 on https://t.co/UQWvo7ebXA gives developers another environment to explore that transition. @justinsuntron #TRONEcoStar @BAI_AGIview source ↗
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☕ Today's AI news in five lines. • Anthropic & OpenAI cut prices • Trump wants AI renamed 'superintelligence' • Snorkel AI raises $350m for training data • Verda is Europe's newest AI cloud unicorn • Nearly half of UK youth trust AI over people https://t.co/zFLZXvGgto ☕ Today's AI news in five lines. • Anthropic & OpenAI cut prices • Trump wants AI renamed 'superintelligence' • Snorkel AI raises $350m for training data • Verda is Europe's newest AI cloud unicorn • Nearly half of UK youth trust AI over people https://t.co/zFLZXvGgtoview source ↗
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Morning Update Anthropic launches Claude Opus 5.5 for long-running agentic work Anthropic released Claude Opus 5.5, its new flagship model for long-running agentic coding and knowledge work. Official documentation prices it at $4 per million input tokens and $20 per million output tokens. Anthropic says the model impr… Morning Update Anthropic launches Claude Opus 5.5 for long-running agentic work Anthropic released Claude Opus 5.5, its new flagship model for long-running agentic coding and knowledge work. Official documentation prices it at $4 per million input tokens and $20 per million output tokens. Anthropic says the model improves capability while reducing the compute needed for typical Opus workloads. OpenAI adds GPT-6 Sol and Luna as faster, more affordable GPT-6 models OpenAI launched GPT-6 Sol and GPT-6 Luna, extending the GPT-6 family beyond Astra. OpenAI says the two models bring Astra-generation gains in professional work, factuality, coding, computer use and alignment into faster, more affordable options. Sol is positioned specifically for complex coding and agentic workflows. GitHub pushes Copilot further toward agentic engineering GitHub used its first Copilot Day to preview more autonomous developer workflows. One notable research preview is Hydrofusion, designed to choose the right model for a task automatically instead of making developers decide each time. GitHub also said monthly commits have more than doubled since April, from 1.4 billion to 2.9 billion. Apple’s new Mac hardware puts more emphasis on local AI Early M5 Ultra and M6 Mac mini testing points to another jump in on-device AI performance. Apple-quoted figures for M5 Ultra include up to 4.3× faster local AI than the prior generation, while the new Mac mini increases CPU and GPU core counts versus the previous base model. Real-world gains will vary by workload. Xiaomi’s MiMo v2.6 adds another open-model contender MiMo v2.6 is being presented as a highly open AI release, with model weights and training code said to be available. Early claims put it near much larger closed models on some coding and agent tasks, but those comparisons remain unconfirmed. If the results hold up, it would add more pressure to the AI price-performance race. Want to find out more about any of these topics? Search them oview source ↗
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𝗖𝗟𝗔𝗨𝗗𝗘 𝗢𝗣𝗨𝗦 𝟱.𝟱 𝗜𝗦 𝗡𝗢𝗪 𝗟𝗜𝗩𝗘 𝗢𝗡 𝗕.𝗔𝗜: 𝗪𝗛𝗔𝗧 𝟭𝗠 𝗖𝗢𝗡𝗧𝗘𝗫𝗧 𝗠𝗘𝗔𝗡𝗦 𝗙𝗢𝗥 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪𝗦 🤖 https://t.co/h8toKyKnAQ has added Claude Opus 5.5 from @AnthropicAI to both its Web Chat and API. The important part isn't simply another model appearing in a model list. It is what the model's capabilities enable developers and users… 𝗖𝗟𝗔𝗨𝗗𝗘 𝗢𝗣𝗨𝗦 𝟱.𝟱 𝗜𝗦 𝗡𝗢𝗪 𝗟𝗜𝗩𝗘 𝗢𝗡 𝗕.𝗔𝗜: 𝗪𝗛𝗔𝗧 𝟭𝗠 𝗖𝗢𝗡𝗧𝗘𝗫𝗧 𝗠𝗘𝗔𝗡𝗦 𝗙𝗢𝗥 𝗔𝗚𝗘𝗡𝗧𝗜𝗖 𝗪𝗢𝗥𝗞𝗙𝗟𝗢𝗪𝗦 🤖 https://t.co/h8toKyKnAQ has added Claude Opus 5.5 from @AnthropicAI to both its Web Chat and API. The important part isn't simply another model appearing in a model list. It is what the model's capabilities enable developers and users to do. Claude Opus 5.5 is designed for long-running agentic coding and complex knowledge work, where the model may need to reason across large amounts of information, maintain context and execute multi-step workflows. 𝗧𝗛𝗘 𝟭𝗠-𝗧𝗢𝗞𝗘𝗡 𝗖𝗢𝗡𝗧𝗘𝗫𝗧 𝗟𝗔𝗬𝗘𝗥 A 1M-token context window changes how large tasks can be approached. Instead of repeatedly splitting a large project into smaller conversations, developers can potentially provide substantially more context within a single workflow. Think about: → Large codebases → Extensive technical documentation → Long research materials → Multi-file software projects → Complex agent instructions Context does not automatically make an AI system correct. But more usable context can reduce the need to constantly remove information from a workflow. 𝗧𝗛𝗘 𝟭𝟮𝟴𝗞 𝗢𝗨𝗧𝗣𝗨𝗧 𝗟𝗔𝗬𝗘𝗥 The model also supports up to 128K output tokens. That matters for tasks where the result itself can be extensive — from detailed code generation and analysis to long-running agent workflows. The broader shift is from: Ask → Answer toward: Plan → Reason → Execute → Review → Continue That is much closer to how agentic systems operate. 𝗖𝗢𝗦𝗧 𝗜𝗦 𝗣𝗔𝗥𝗧 𝗢𝗙 𝗧𝗛𝗘 𝗧ECHNOLOGY According to the announcement, Claude Opus 5.5 delivers capabilities comparable to Claude Fable 5.1 on most tasks while costing roughly 40% less to run than Opus 5. If those economics hold in practical workloads, the implication is significant for developers running repeated or long-context operations. Better capability is useful. Better capability at a sustainable cost is even more important when building production systems. 𝗪𝗛𝗘𝗥𝗘 𝗕.𝗔𝗜 𝗙𝗜𝗧𝗦 𝗜𝗡 https://t.co/h8toKyKnAQ's value isview source ↗
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https://t.co/Swbr9fHaMb https://t.co/Swbr9fHaMbview source ↗
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https://t.co/k5vyBd93oY https://t.co/k5vyBd93oYview source ↗
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LLM News | 2026-09-23 Two frontier-model launches are drawing attention around lower claimed costs, coding evaluations, and immediate product integrations. 🥇 Anthropic introduces Claude Opus 5.5 Anthropic says Claude Opus 5.5 is the first model in its Claude 5.5 family, with performance comparable to Claude Fable 5.1 … LLM News | 2026-09-23 Two frontier-model launches are drawing attention around lower claimed costs, coding evaluations, and immediate product integrations. 🥇 Anthropic introduces Claude Opus 5.5 Anthropic says Claude Opus 5.5 is the first model in its Claude 5.5 family, with performance comparable to Claude Fable 5.1 on most tasks while costing 40% less to operate than Opus 5. The official announcement drew more than 12 million views, making cost alongside capability a central part of the launch conversation. https://t.co/9z3I1CZt1k The focus is moving from model announcements to deployment: efficiency claims now have early coding results and integrations that developers can examine in practice. The remaining 8 items, plus background and take, are in today's X Article. https://t.co/n791tGyJGrview source ↗
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https://t.co/I0HT66Ia68 https://t.co/I0HT66Ia68view source ↗
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Claude Opus 5.5 is officially out. Faster. Cheaper. Closer to Fable than anything before. The full breakdown 👇 https://t.co/rNcgNlYBD9 Claude Opus 5.5 is officially out. Faster. Cheaper. Closer to Fable than anything before. The full breakdown 👇 https://t.co/rNcgNlYBD9view source ↗
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Official announcement is here but I will wait for @thsottiaux to come and tell us just how much more Sol will last on our subscriptions. API pricing is 50% cheaper but it does not mean we will get this benefit in our subs. So I would like to get this clarification, it is not mentioned anywhere. Also, the benchmar… Official announcement is here but I will wait for @thsottiaux to come and tell us just how much more Sol will last on our subscriptions. API pricing is 50% cheaper but it does not mean we will get this benefit in our subs. So I would like to get this clarification, it is not mentioned anywhere. Also, the benchmarks do NOT hold a candle to Opus 5.5 as we predicted. I am more excited for how much more usage we get. If this doesn't feel near unlimited in 20x Sub, they ain't giving us the full benefit.view source ↗
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looks like gpt-sol 6 might be dropping today alongside opus 5.5 API pricing is apparently 2x cheaper than gpt-sol 5.6 waiting for the official announcement and benchmarks https://t.co/lq2qLX9fAj looks like gpt-sol 6 might be dropping today alongside opus 5.5 API pricing is apparently 2x cheaper than gpt-sol 5.6 waiting for the official announcement and benchmarks https://t.co/lq2qLX9fAjview source ↗
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Both GPT-6 Sol & GPT-6 Luna are 50% cheaper than their predecessors. This means a few things > Sorry who gives a shit about Grok 4.7? > They are not better than Opus 5.5, but much cheaper and efficient > Luna being even cheaper mogs open weight models > Astra's pricing makes even less sense if Sol is almost as good… Both GPT-6 Sol & GPT-6 Luna are 50% cheaper than their predecessors. This means a few things > Sorry who gives a shit about Grok 4.7? > They are not better than Opus 5.5, but much cheaper and efficient > Luna being even cheaper mogs open weight models > Astra's pricing makes even less sense if Sol is almost as good But wow they want to maintain their efficiency and cost frontier. Let's see how this reflects in our subscriptions. Waiting for official announcement and benches!view source ↗
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@TokenGremlin Fast rollout before the official announcement is wild Curious if Opus 5.5 forced their hand that hard @TokenGremlin Fast rollout before the official announcement is wild Curious if Opus 5.5 forced their hand that hardview source ↗
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GPT-6 Sol and Luna are here! The rollout was EXTREMELY FAST, even before the official announcement. Congrats to OpenAI for how quickly they responded to Opus 5.5. Now all that’s left is to wait for the official announcement. https://t.co/PSHrdYXbGy GPT-6 Sol and Luna are here! The rollout was EXTREMELY FAST, even before the official announcement. Congrats to OpenAI for how quickly they responded to Opus 5.5. Now all that’s left is to wait for the official announcement. https://t.co/PSHrdYXbGyview source ↗
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🚨 WAIT... OPENAI'S TUESDAY MIGHT ACTUALLY BE HAPPENING People are starting to see GPT-6 LUNA inside Codex backend responses. Requests to GPT-5.6 Luna are reportedly coming back as: gpt-6-luna and there are similar signs around GPT-6 Sol too. This is especially funny because Anthropic JUST dropped Opus 5.5 today 😭 … 🚨 WAIT... OPENAI'S TUESDAY MIGHT ACTUALLY BE HAPPENING People are starting to see GPT-6 LUNA inside Codex backend responses. Requests to GPT-5.6 Luna are reportedly coming back as: gpt-6-luna and there are similar signs around GPT-6 Sol too. This is especially funny because Anthropic JUST dropped Opus 5.5 today 😭 Anthropic really tried to hijack OpenAI's Tuesday and OpenAI said hold on... No official announcement yet. But GPT-6 Sol + Luna appearing in Codex is a pretty big sign that something is moving behind the scenes. I'm watching this one closely 👀view source ↗
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The official announcement. Opus 5.5 is here and it delivers Fable 5.1 performance at a cost 40% cheaper than even Opus 5. > They've lowered the API pricing since this model takes far less compute to run. > It is also 30% faster to run than Opus 5. > It talks naturally, finally fixing Opus 5's language problem BA… The official announcement. Opus 5.5 is here and it delivers Fable 5.1 performance at a cost 40% cheaper than even Opus 5. > They've lowered the API pricing since this model takes far less compute to run. > It is also 30% faster to run than Opus 5. > It talks naturally, finally fixing Opus 5's language problem BAD NEWS THO: Since this model shows similar bio & cyber capabilities, it has the same guardrails that Fable does. Overall, what a banger release. I am pumped to test it out.view source ↗
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🚨 CLAUDE OPUS 5.5 COULD DROP TODAY? Anthropic might be preparing a surprise release — but there’s a catch 👀 > Multiple reports are pointing to a possible September 22 launch > The rumored internal codename is `claude-wafer-eap` > A possible model ID being circulated is `claude-opus-5-5` > Rumored API pricing: $4 inpu… 🚨 CLAUDE OPUS 5.5 COULD DROP TODAY? Anthropic might be preparing a surprise release — but there’s a catch 👀 > Multiple reports are pointing to a possible September 22 launch > The rumored internal codename is `claude-wafer-eap` > A possible model ID being circulated is `claude-opus-5-5` > Rumored API pricing: $4 input / $20 output per 1M tokens > That would be ~20% cheaper than the current Opus 5 > Reports claim major improvements in coding + long-running agentic tasks > Some reports suggest Anthropic could skip the 5.2 naming entirely > Opus 5 currently costs $5 input / $25 output per 1M tokens > Opus 5 already supports a 1M-token context window But here's the important part: Anthropic has NOT officially announced Claude Opus 5.5. Its official model lineup still lists Opus 5 as the current Opus model, and there is no official Opus 5.5 model ID, pricing page, benchmark or release announcement yet. 0 The Opus 5.5 claims are currently coming from leaks, X posts and community reports. So today could be a huge Anthropic day… OR this could end up being another AI rumor that doesn't materialize. 👀 If Anthropic actually drops Opus 5.5 with the rumored $4/$20 pricing + serious coding improvements… developers are going to pay VERY close attention. 🔥 Opus 5.5 today? We’ll see. 👀 Everything beyond Anthropic's official announcements remains unconfirmed.view source ↗
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Claude Opus 5.5 just popped up in Hookami — before an official Anthropic announcement. 8 videos. 8 channels. The signal is already moving. You can make the video while everyone else is waiting for the press release. That’s Hookami. https://t.co/dAWiDQDjIp Claude Opus 5.5 just popped up in Hookami — before an official Anthropic announcement. 8 videos. 8 channels. The signal is already moving. You can make the video while everyone else is waiting for the press release. That’s Hookami. https://t.co/dAWiDQDjIpview source ↗
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Still just a leak, not an Anthropic announcement. Official lineup is still Fable 5.1 and Opus 5. If 5.5 actually ships at Fable-level quality and half the price, that would be the useful model. Watching. Still just a leak, not an Anthropic announcement. Official lineup is still Fable 5.1 and Opus 5. If 5.5 actually ships at Fable-level quality and half the price, that would be the useful model. Watching.view source ↗
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@bridgemindai Still just a leak, not an Anthropic announcement. Official lineup is still Fable 5.1 and Opus 5. If 5.5 actually ships at Fable-level quality and half the price, that would be the useful model. Watching. @bridgemindai Still just a leak, not an Anthropic announcement. Official lineup is still Fable 5.1 and Opus 5. If 5.5 actually ships at Fable-level quality and half the price, that would be the useful model. Watching.view source ↗
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Alibaba's Pingtouge just stood on stage and pounded its chest! Saying the quiet part out loud: it wants the model, the chip, the datacenter and the agent stack. All of it. Welcome back to Tuesday! And Qwen 4 is official! er, well, in training. Alibaba also laid out the roadmap: Qwen 4.5 and Qwen 5 are projected to s… Alibaba's Pingtouge just stood on stage and pounded its chest! Saying the quiet part out loud: it wants the model, the chip, the datacenter and the agent stack. All of it. Welcome back to Tuesday! And Qwen 4 is official! er, well, in training. Alibaba also laid out the roadmap: Qwen 4.5 and Qwen 5 are projected to scale into the 5–10 trillion parameter range, versus 2.4T for today’s Qwen3.8-Max. Careful reading X rumors, because some early headlines are already turning “future Qwen models up to 10T” into “Qwen 4 is a 10T model.” Alibaba did not say that. And being of sound mind, I thought, how the heck do you run that in China without Nvidia? Well, there's more. Its T-Head chip group unveiled Zhenwu V900, a training-and-inference accelerator that Alibaba says delivers 3× the performance of May’s M890, carries 216GB of memory, provides 1.2TB/s chip-to-chip bandwidth, and natively supports FP8 and FP4. The new Panjiu systems built around it are supposed to enter commercial production in Q1 2027, with Alibaba saying the architecture can ultimately scale a single cluster to as many as 500,000 cards which is obviously more than a few. Wow! Are you sure? The number looks ridiculous enough to make the 10T-model talk look considerably less theoretical. Yet, there it is. But Alibaba has history. Its current M890 supernodes run Qwen3.8-Max and Kimi K3, both above two trillion parameters, while the company says the Zhenwu family is already serving more than 650 enterprise customers. At the infrastructure level, Alibaba targets global cloud datacenter capacity above 20GW by 2032. Not exactly a startup putting “10T parameters” into a roadmap deck and hoping somebody finds GPUs later. Alibaba is trying to vertically integrate the entire thing. I'm curious how the two new Brazilian data centers announced in August will fit into these build outs, and chip plans. And file under just one more thing.... Buried underneath the giant-model headline Alibaba says Qwen3.8-Max hasview source ↗
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⚔ GLM-5.3-Flash Aims Straight at the Post-Hike DeepSeek Zhipu's GLM-5.3-Flash — revealed this week as the anonymous "Ox Alpha" — has been open-weighted and priced at roughly one-tenth of GLM-5.3. Much of the early discussion compares it to DeepSeek's V4 Flash, which recently raised prices. Zhihu contributor 起步十档, who … ⚔ GLM-5.3-Flash Aims Straight at the Post-Hike DeepSeek Zhipu's GLM-5.3-Flash — revealed this week as the anonymous "Ox Alpha" — has been open-weighted and priced at roughly one-tenth of GLM-5.3. Much of the early discussion compares it to DeepSeek's V4 Flash, which recently raised prices. Zhihu contributor 起步十档, who ran Ox Alpha inside real workflows before the reveal, gives a practitioner's verdict in one line: it is built to kill the post-hike DeepSeek. His case rests on three legs — performance, token efficiency, and an architecture change that makes the price possible. 1️⃣ It clears the bar for long-horizon work Official scores put Flash between Grok 4.6 and GLM-5.3, and clearly ahead of DeepSeek V4 Flash. In the author's own testing, its frontend ability roughly matches an early gray-test build of DeepSeek V4 Pro, while its backend is noticeably weaker than GLM-5.3 — but still usable on long-horizon tasks as long as the connection holds. His rule of thumb: any model past the Claude Opus 4.6 line is workflow-ready for long tasks. Beyond that, differences come down to reasoning style and accuracy, not viability. One caveat he flags: during the anonymous test the deployment was unstable, and some believe it served a mid-training checkpoint rather than the final model. 2️⃣ The real weapon: token efficiency Comparing peak API prices against the post-hike DeepSeek V4 Flash, the author notes cached input is actually 2x more expensive, while regular input and output sit at roughly 26% of DeepSeek's price. Since cached input is often the bulk of the bill, he wants real-world tests before calling a winner on price alone. But his own usage points the same direction. In one to two hours of real work — reading and writing files, running tests — Ox Alpha burned barely over 100K tokens. He estimates DeepSeek would need 250-300K for the same workload. His prediction: same tasks, run on both APIs, will come out cheaper on Flash — with clearly better performance. 3️⃣ His unview source ↗