NeuralZone | AI Apps
رفتن به کانال در Telegram
@NeuralZone – Curated, hand-picked AI tools and services that are actually useful. Buy ads: https://telega.io/c/NeuralZone contact us via @photofixer
نمایش بیشتر📈 تحلیل کانال تلگرام NeuralZone | AI Apps
کانال NeuralZone | AI Apps (@neuralzone) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 384 680 مشترک است و جایگاه 227 را در دسته فناوری و برنامهها و رتبه 231 را در منطقه دولي دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 384 680 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 17 سپتامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -8 016 و در ۲۴ ساعت گذشته برابر -252 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 3.78% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.42% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 14 550 بازدید دریافت میکند. در اولین روز معمولاً 5 459 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 28 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند defi, neuralzone, oddin.ai, edwin, ido تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“@NeuralZone – Curated, hand-picked AI tools and services that are actually useful.
Buy ads: https://telega.io/c/NeuralZone
contact us via @photofixer”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 18 سپتامبر, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
384 680
مشترکین
-25224 ساعت
-1 7267 روز
-8 01630 روز
در حال بارگیری داده...
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پستهای کانال
🚀 GigaChat 3.5 Reasoning — a new open-source LLM that thinks before it answers.
It breaks problems into stages, builds a plan, checks intermediate results, and self-corrects. Built on GigaChat 3.5 Ultra, it explores multiple step-by-step reasoning paths for math & coding, using automated verification to reinforce correct answers.
⚡️ Proprietary linear attention makes it highly efficient on long contexts, retaining key points without re-matching from scratch. It’s also token-efficient: uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems!
📈 Benchmark gains over non-reasoning version:
• IFBench: 44 → 77
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85
📦 MIT license. Weights on Hugging Face: fp8 | bf16
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| 4 |  🎮 NEW TELEGRAM RPG
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| 7 |  +4🚀 Seedream 5.0 Pro — a new top-tier AI model for image generation and editing, now available for Premium users of @PhotoFixerBot!
Seedream 5.0 Pro excels at generating photorealistic images and high-density infographics, significantly outperforming the previous Seedream 4.5 and 5.0 Lite models.
In the rankings, Seedream 5.0 Pro matches Nano Banana 2 and Nano Banana Pro in generation quality, while offering much less restrictive censorship.
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| 9 |  🟩 New Achievement Unlocked: Genesis Depositor.
Deposit >$10. Get a number. Numbers are limited.
From now, every new depositor will receive a badge by end of day EST.
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🚀 Know the Outcome? Predict it on Outcome.xyz | 11 862 |
| 10 | Six AI coding agents took one visual IQ test, and Codex 5.5 won by method, speed, and cost
One small test asked agents to solve 25 visual puzzles on iq-test.cc, select age 30, and return a result link.
This was not a lab benchmark. It was a practical check of vision work, browser use, patience, time, and plan cost.
"Take the IQ test on iq-test.cc. When you finish, select age 30 and send me the link to your result."
Agent IQ Time Limit spent
Claude Cowork Opus 4.8 90 85m ~10 pts
Claude Code Opus 4.8 90 96m ~28 pts
Claude Sonnet 4.6 68 62m n/a
Codex 5.5 $100 Fast 124 18m ~12 pts
Codex 5.4 $100 Fast 101 16m ~14 pts
Codex 5.5 $200 Fast 131 34m ~6 pts
The score is only part of the story. Codex 5.5 did better because it worked like a careful test taker: collect puzzle images, build clean contact sheets, zoom into hard cases, then recheck weak answers before submit.
More context: the top IQ 131 run used a shorter prompt and the site default age, so it was not a perfect same-prompt run. Still, normal browser access was missing, and Codex found another path through Chrome, clicked all 25 answers, and finished anyway.
Claude was careful, especially Opus. It wrote notes and reasoned step by step. Codex was more organized and faster. The article shows screenshots, failed paths, exact prompts, and puzzle examples.
The most useful lesson: for visual web tasks, method can beat size. A huge context window did not save Claude, and two extra Codex minutes were worth 23 IQ points.
read details on our website
Please support this young channel by subscribing.
Your subscription really helps us grow.
There are no ads here. | 41 988 |
| 11 | GigaChat 3.5 Ultra Publicly Released — The New Generation of the Flagship Model
The GigaChat team has released GigaChat 3.5 Ultra as open source—a new 432B model under the MIT license. This is the first open-source hybrid of GatedDeltaNet and MLA scaled to hundreds of billions of parameters, featuring a proprietary training recipe we refined through more than 1,500 experiments. The model has grown in terms of code, mathematics, agent scenarios, and application domains—yet it’s 40% smaller than GigaChat 3.1 Ultra.
What’s inside:
🔘A proprietary hybrid MLA + Gated DeltaNet architecture with a dedicated stabilization framework, without which this hybrid setup would not train reliably at this scale;
🔘 Gated Attention: the model can locally down-weight overly strong signals from the attention layer;
🔘GatedNorm: normalization with an explicit gate that controls signal magnitude across features;
🔘Approximately 4x lower KV cache per token: with the same memory budget, the model can support 2.14x longer context and deliver a 20% throughput increase under load;
🔘Two MTP heads, enabling up to 2.2x faster generation;
🔘FP8 across all training stages with no quality degradation compared with bf16, enabled by custom Triton and CUDA kernels;
🔘A new online RL stage after SFT and DPO.
Results:
🔘 GigaChat-3.5-Ultra-Base outperforms DeepSeek V3.2 Exp Base and DeepSeek V4 Flash Base on average across a set of general, math, and code benchmarks:
🔘 GigaChat-3.5-Ultra-Instruct is comparable to DeepSeek V3.2 in terms of average score, despite having half the size;
🔘 According to the MiniMax-M2.7 LLM judge, the average win rate against GigaChat 3.1 Ultra is 75.9%, and against GPT-5 is 68.7%.
The entire stack — data (our own LLM-filtered Common Crawl, 600+ programming languages in the code), architecture, training methodology, and infrastructure — was built end-to-end by GigaChat team.
➡️ HuggingFace | 45 844 |
| 12 |  How many AI subscriptions are you paying for?
• ChatGPT
• Claude
• GPT Image
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What if one workspace brought them all together?
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| 13 |  🐶 ASO Corgi — platform for the App Store developers.
Find the keywords your apps and competitors rank for, and track positions across every country in one place.
🔑 Keyword research: by topic, by your app's languages, from App Store suggestions, by competitors, and with AI analysis.
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• ASO assistant builds your listing for each locale
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| 14 |  ֎ New: ChatGPT users can now build real apps directly from chat
ChatGPT's app store just added AppDeploy, and it works with free accounts too.
Describe what you want to build, ChatGPT writes the code, AppDeploy handles deployment automatically inside the same chat, and you get a working link back right away.
AppDeploy includes the infrastructure needed for real apps:
🔐 User login and permissions
🗄 Storage, database, realtime sync and notifications
🤖 Built in AI capabilities
☁️ Full backend, background jobs and scheduled tasks
🧪 Automatic QA for every change and built in versioning
🌐 Custom domains, secrets management and more
Free to use. No subscription or credit card required.
👉 Install AppDeploy in ChatGPT and launch your first app in a few minutes | 39 635 |
| 15 |  🌐 Gemini 3.5 Live Translate breaks language barriers in real time
Google has unveiled Gemini 3.5 Live Translate — a new speech-to-speech AI model that delivers near real-time voice translation across 70+ languages.
Unlike traditional turn-based translators, it starts translating while you’re still speaking, staying just a few seconds behind and preserving your tone, pacing, and pitch for more natural conversations. The model also auto-detects languages and works reliably even in noisy environments.
Available now in Google Translate on Android and iOS, with Google Meet and developer APIs rolling out as well.
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| 17 |  +2😒 Anthropic has released Claude Fable 5 — the first public Mythos-class model
Anthropic claims it's their strongest model ever, setting new SOTA results across coding, vision, scientific tasks, document analysis, and long-context reasoning. The bigger and longer the task, the larger the gap compared to previous models.
Notable examples:
• Stripe migrated a 50M-line Ruby codebase in 1 day.
• Fable 5 can rebuild web apps from screenshots.
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Claude Mythos 5 was released alongside it, but access is limited to vetted cybersecurity and critical infrastructure organizations.
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| 18 |  🌐 Humans are now the minority on the internet
According to Cloudflare Radar, between May 31 and June 7, 57.1% of all requests to HTML pages worldwide came from bots, while real users accounted for just 42.9%. The era when the web was primarily used by humans browsing pages may already be behind us.
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| 19 |  😺 ChatGPT gets a major memory upgrade
OpenAI has upgraded ChatGPT's memory system with a new Dreaming architecture that automatically learns from past conversations and keeps memories up to date.
Instead of relying mainly on manually saved notes, ChatGPT can now identify important information on its own, carry context across chats, adapt to changing circumstances, and avoid using outdated details.
Users can review, edit, or delete what ChatGPT remembers through a new Memory Summary page. OpenAI says recent optimizations reduced Dreaming's compute costs by 5×, allowing the feature to begin rolling out to Free users in the coming weeks.
The update is available now for Plus and Pro users in the US, with wider availability expected soon.
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