AI Post — Artificial Intelligence
الذهاب إلى القناة على Telegram
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
إظهار المزيد2025 عام في الأرقام

979 740
المشتركون
-52224 ساعات
-3 6097 أيام
-15 64630 أيام
أرشيف المشاركات
Photo unavailableShow in Telegram
A new "transneuron" chip can be tuned to behave like different real brain cells - visual, motor, planning, with up to 100% accuracy.
In experiments the transneuron was fed input electrical signals, and its "output" pulses were compared with real neurons from three brain areas of macaque monkeys: Visual area (middle temporal, MT) (Movement planning region (parietal reach region, PRR). Premotor/motor cortex area (PM)
This opens pathways toward ultra efficient neuromorphic chips and "artificial nervous systems" for robotics: smaller size, less energy, more flexibility. The team mentions future "brain cortex on a chip" scenarios.
Source.
AI Post 🪙 | Our X 🥇
👍 12👾 8❤ 3🤔 3
01:33
Video unavailableShow in Telegram
A new member joins the European humanoid robot team.
German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world.
It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities.
Soon, Europe will enter its second wave of automation driven by intelligent technology.
AI Post 🪙 | Our X 🥇
IMG_0629.MP48.23 MB
❤ 17🤪 7🔥 5😐 4👾 3
Photo unavailableShow in Telegram
🔥 $NVDA Q3 report — NVIDIA beats again
Earnings Per Share: $1.30 vs $1.26 expected
Revenue: $57.01B vs $55.09B expected
Gross margin: 73.6% (adjusted)
Q4 guidance: $63.7–$66.3B (street was $61.98B / old $49.34B)
Data center: $51.2B — crushed forecasts
Gaming: $4.3B — slight miss vs $4.42B expected
Jensen Huang: Blackwell demand is “off the charts.” Cloud GPUs are fully sold out.
📈 NVDA added $205B in market cap post-report.
📊 $NVDA: +2.8%
AI Post 🪙 | Our X 🥇
❤ 15🤔 7👍 1
02:15
Video unavailableShow in Telegram
OpenAI is projecting $13B in revenue this year and an almost unreal $100B by 2027. To get there, the company signed a $1.4T infrastructure deal over eight years meaning it plans to spend 107× its current revenue on compute, while normal cloud companies spend 15–30%.
When asked how he’ll pay for it, Altman fired back: “We make a lot more money than we say. Don’t like it? We’ll find someone else to buy our shares.” At this point, it’s either a generational masterstroke or the setup for tech’s biggest flop.
AI Post 🪙 | Our X 🥇
IMG_0617.MP487.92 MB
🤪 17😐 5❤ 3😁 3🤔 3
00:49
Video unavailableShow in Telegram
ElevenLabs launches the all-in-one AI studio
ElevenLabs just rolled out what might be the most complete creator workspace yet one place for video, audio, images, and full editing. The “everything in one tab” dream is suddenly real.
What’s inside the studio:
• Top-tier video models: Veo 3.1, Sora 2, Kling 2.5, Wan 2.5, Seedance 1 Pro
• Image generation: Nano Banana, Flux Kontext, Wan, Seedream
• 4K upscaling: built-in via Topaz
• Studio export: music, SFX, voiceovers
• Full editing suite: subtitles, lip-sync, timeline, end-to-end video creation
A single interface now replaces an entire stack of AI tools and that’s the real power play.
AI Post 🪙 | Our X 🥇
IMG_0579.MP415.17 MB
❤ 23🔥 8👍 3🤔 2
01:10
Video unavailableShow in Telegram
Demis Hassabis says Gemini 3 is on track and shows the fastest progress in the industry. But general intelligence requires more than just the current trajectory
It needs better reasoning, stronger memory, and "world model ideas" to solve physical intelligence. AGI is still 5–10 years away
AI Post 🪙 | Our X 🥇
IMG_0575.MP413.81 MB
❤ 11👍 10🤔 3🥴 3
Photo unavailableShow in Telegram
There’s a growing opinion online that by the end of this decade, people may barely use smartphones for routine tasks.
The idea follows a simple trajectory: if AI agents become capable of handling most everyday interactions within the next few years, the classic workflow — pull out phone → open app → tap through menus — starts to look outdated.
Interface history has always moved toward less friction: from mainframes → PCs → smartphones. The next step seems to be devices you don’t actively operate at all. No screens to unlock, no apps to launch, no five-tap flows. Just intent → action.
Many expect interaction to shift toward voice, gesture, gaze, and ambient cues — with the “user interface” dissolving into the background.
What form this takes is still wide open:
• Bracelets, rings, watches using neural or muscle input
• Glasses combining context, camera, and lightweight displays
• Headphones or pendants as always-on voice interfaces
• Or some hybrid that hasn’t emerged yet
The core belief is the same: once agents can act on our behalf, the smartphone stops being the center of the experience.
AI Post 🪙 | Our X 🥇
❤ 32👍 11🤔 5🤪 2😢 1
Photo unavailableShow in Telegram
10,000x faster discovery
NVIDIA just announced a massive acceleration in materials discovery. AI + GPUs are now screening 10s to 100s of millions of molecules in weeks, not years. Labs can even do real time nano scale imaging with Holoscan.
Companies like ENEOS and UDC are already using this to find new cooling fluids, catalysts, and OLED materials up to 10,000x faster.
Source.
AI Post 🪙 | Our X 🥇
🔥 25❤ 10👍 7🤔 4
⚙️ Google drops Gemini 3 Pro + Deep Think, huge leap across the whole stack
Google rolled out Gemini 3 Pro with big jumps in reasoning, multimodality, and coding plus a 1M-token context window and major dev-tool upgrades.
Highlights:
• #1 on LMArena (1501 Elo), new highs on GPQA Diamond (91.9%) and MathArena Apex.
• Multimodal lead: 81% MMMU-Pro, 87.6% Video-MMMU.
• Coding: 1487 Elo WebDev, 76.2% SWE-bench Verified.
Deep Think mode: Even higher reasoning — 41% on Humanity’s Last Exam, 45.1% on ARC-AGI-2. Rolling out soon to AI Ultra subscribers.
Dev tools:
• Vibe Coding can build apps (even 3D) from sketches or vague prompts.
• Gemini CLI 0.16.x adds natural-language UNIX commands + auto docs.
• 1M token context = whole-codebase agents.
• Google Antigravity: new agent platform for full multi-step builds.
Integrations: In Gemini API & Vertex AI (≈20% above 2.5 Pro), built into Android Studio Otter, and available via Firebase AI Logic.
Enterprise tests: Copilot +35% accuracy, JetBrains +50% tasks solved, Rakuten +50% better docs extraction.
This is Google’s biggest coordinated AI upgrade yet model, tooling, and agents all jump at once.
AI Post 🪙 | Our X 🥇
🔥 21👍 13❤ 8🥴 5👀 3
Photo unavailableShow in Telegram
🇨🇳 China is absolutely dominating the open-source world.
Many top Silicon Valley companies are choosing Alibaba’s Qwen as their shortcut. "Chinese models are also winning over customers as geopolitical and cybersecurity concerns take a backseat to factors like cost, efficiency, and ease of use."
And derivative models (finetuned or otherwise modified models) built on Chinese base foundations now absolutely exceed those built on US and European models.
Alibaba towers over everyone from late 2024 into mid 2025, with around 5000 to 6000 Alibaba based derivatives in its peak month, several times the uploads built on Meta, Microsoft, Google, or OpenAI models.
AI Post 🪙 | Our X 🥇
👍 11🤔 11❤ 7👾 5🔥 1
01:57
Video unavailableShow in Telegram
This is Gemini 3, Google’s most intelligent model yet
Gemini 3 is built to help you learn, build, and plan anything.
It brings:
• State-of-the-art reasoning for complex problem-solving
• World-leading multimodal understanding across text, images, audio, and video
• New agentic coding capabilities that let the model plan, write, debug, and refactor software almost autonomously
Google positions Gemini 3 as a full-stack intelligence layer, from everyday tasks to production-grade engineering.
AI Post 🪙 | Our X 🥇
IMG_0541.MP422.32 MB
❤ 29🤔 8👍 4🔥 3🙏 2
