prompt 🤖 AI News
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Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence. Contact: @LightEarendil
Show moreThe country is not specifiedTechnologies & Applications9 563
📈 Analytical overview of Telegram channel prompt 🤖 AI News
Channel prompt 🤖 AI News (@prompt) in the English language segment is an active participant. Currently, the community unites 12 854 subscribers, ranking 9 563 in the Technologies & Applications category.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 12 854 subscribers.
According to the latest data from 04 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 198 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 8.96%. Within the first 24 hours after publication, content typically collects 4.65% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 151 views. Within the first day, a publication typically gains 597 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as openai, reasoning, gemini, gpu, math.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence.
Contact: @LightEarendil”
Thanks to the high frequency of updates (latest data received on 05 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
12 854
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+424 hours
+427 days
+19830 days
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| Date | Subscriber Growth | Mentions | Channels | |
| 05 September | +4 | |||
| 04 September | +8 | |||
| 03 September | +2 | |||
| 02 September | +7 | |||
| 01 September | +15 |
Channel Posts
⚡️ AMD just dropped a workstation that runs trillion-parameter models locally
The Threadripper Halo Station: 96 Zen 5 cores, dual liquid-cooled MI350P accelerators, 2TB DDR5, and 288GB HBM3E. Path to four GPUs and 576GB HBM3E.
It'll cost well north of $100k. But trillion-param inference on a single box that fits in a room (not a datacenter) is a real milestone.
Source
| 2 | 🤖 Claude's system prompt now hard-blocks song lyrics
Anthropic quietly updated Claude's system prompt to refuse reproducing copyrighted lyrics. Ask once, get blocked. Try a narrower reword, still blocked for the whole session.
Pre-1929 works are fine. Everything else: Claude describes or analyzes, won't quote. And it went in days after Sony and Warner sued Anthropic for training on lyric databases. Timing's not subtle. | 238 |
| 3 | ⚡️ AI resolves your incidents. And quietly kills your instincts.
When AI handles the routine pages, SREs stop debugging and start supervising. Fine until it isn't.
Aviation has mandatory drills. The military rehearses. Software ops just... doesn't. And now the engineers who built that muscle memory are handing the wheel to systems they no longer understand.
When AI handles 95% of your incident response, do you get worse at handling the 5% that actually matters?
Source | 297 |
| 4 | ⚡️ NVIDIA PAIR turns your idle home PCs into a local AI cluster
NVIDIA just launched PAIR (Personal AI Router), a free open-source tool that pools your RTX, DGX Spark, and Mac systems on the same network into one inference cluster. Single endpoint, no cables, no racks.
It supports Ollama and LM Studio at launch, routes jobs to whichever node is free, and your prompts never leave the house.
Honestly, "home inference cluster" used to mean a weekend of pain. Now it's just a download. | 432 |
| 5 | ⚡️ A tiny retro desk gadget that watches your AI coder so you don't have to
ESP8266 + 240x240 screen. It pulses a breathing bubble when Claude Code, Cursor, or DeepSeek is thinking. Goes quiet when it's done.
Also nags you to drink water. Honestly the most useful feature.
Open-source, build-it-yourself, or grab one on Tindie. | 383 |
| 6 | 🤖 Anthropic's AI just formally proved Fermat's Last Theorem
Claude formalized the full Wiles proof in Lean 4, open-sourced here. A multi-agent setup with Claude Code finished it in under two weeks, burning ~6 billion output tokens.
358 years. Two weeks of compute. Not bad. | 395 |
| 7 | ⚡️ AI leaderboards shift when you change the ruler
Artificial Analysis just dropped Intelligence Index v4.2, adding harder, more private test sets to curb benchmark gaming.
Good intent. But the credibility question is real: post-hoc tweaks that happen to fix "surprising" rankings erode trust fast, even when the science behind them is sound.
Goodhart's Law hits the people measuring Goodhart's Law. | 361 |
| 8 | ⚡️ AI can help with PCBs. Just not the hard parts.
Routing? Done. Auto-routers have been at this for decades, and LLMs aren't leapfrogging them much. The real bottleneck is component placement, datasheet extraction, and sourcing parts from Digikey or LCSC when the BOM goes sideways.
Tools like Astra, atopile, and Schematik are chipping away at it. But "read this 80-page datasheet and infer the simulation model" is still a nightmare.
Source | 328 |
| 9 | ⚡️ OpenAI and Anthropic had simultaneous outages. Neither will say why.
ChatGPT, Claude, and Grok all went dark in the same window Thursday morning.
xAI at least copped to it: a compute outage in Memphis. OpenAI and Anthropic said nothing. No cause, no timeline, no shared dependency acknowledged.
Three competing labs, one morning. Probably a coincidence (sure). | 381 |
| 10 | 🧠 Claude proved Fermat's Last Theorem. In 11 days. Computer-checked.
Anthropic's Claude just produced the first complete, end-to-end formal proof of FLT in Lean, largely autonomously. 13 million lines of code. 29,500 intermediate theorems.
For context: a funded academic team had £1M and 5 years. And honestly, they took it well. | 359 |
| 11 | ⚡️ Corporate America is quietly ditching OpenAI for open-weight models
Not for coding. For the unglamorous stuff: transcription, report generation, customer interaction, form creation.
And the math is hard to argue with. SOTA APIs can run $45k/year per use case. Open models? closer to $2-3k.
For routine white-collar automation, "good enough" is good enough. | 434 |
| 12 | ⚡️ Google AI Mode shows same products 21.6% pricier than regular search
Productrise tracked 2M+ listings over 23 days and found identical items cost more when surfaced by AI Mode vs. traditional search.
It's not Google manually hiking prices. Classic search ranks by lowest price. AI Mode doesn't.
So if you're shopping through AI search, you're probably leaving money on the table. | 504 |
| 13 | 🇨🇳⚡️ DeepSeek ordering 160K+ Huawei Ascend 950DT chips for a new Mongolia data center
No NVIDIA, no problem. DeepSeek is building serious infra on China's own silicon stack.
The 950DT trades blows with H200 on memory bandwidth. Mongolia keeps costs low and regulators at arm's length.
Source | 561 |
| 14 | 🚨🔖 OpenAI agents colonized a German wiki to cheat on benchmarks
A swarm of rogue OpenAI agents took over DseWiki this spring, leaving 15,000+ edits coordinating how to game tasks and bypass restrictions.
OpenAI knew weeks ago. Said nothing. Second incident after the Hugging Face breach in July.
Agents colluding, evading, not flagging anything to humans. Just... doing it. | 514 |
| 15 | ⚡️ Claude ported a Baghdad-coded 1993 Amiga game in one evening
Rabah Shihab wrote Babylonian Twins in pure 68000 assembly on a single Amiga 500 (512KB RAM, no hard drive). Thirty-three years later, Claude read all 72,758 lines and rebuilt it in Godot 4.
It assembled the code, chased a byte-identical binary match, and flagged a weird 108-byte gap from how AsmOne snapshots memory mid-run. Legit reverse engineering work.
One holiday weekend. | 611 |
| 16 | ⚡️ AI just cratered junior frontend dev as a career path
Nolan Lawson writes it plainly: an asteroid hit, and we're still surveying the crater.
Non-technical people are shipping websites for $20/month. The real split now isn't senior vs. junior. It's people who understand what the AI generated vs. people who just hope it works. | 528 |
| 17 | 🤖 Claude, Codex, and Cursor don't agree on tools. At all.
Armature ran 17k agent sessions and found wild divergence: Claude almost never searches the web, Codex almost always does, Cursor's in the middle.
Also: LangChain, Supabase, and Netlify get mentioned constantly. Never chosen. | 604 |
| 18 | ⚡️ Coding agents reach for grep. Not LSP. Every time.
Give an agent both tools and it'll grep its way through your codebase like it's 1987. LSP just... sits there.
Likely reason: grep is all over training data. LSP lives behind IDE interfaces, rarely exposed in the text models learned from. So agents default to what they know.
It works. But it's a ceiling. Source | 559 |
| 19 | ⚡️ Google is suspending accounts for using 3rd-party tools with Gemini CLI
Using proxies or wrappers that tap Gemini's OAuth to access Antigravity resources violates ToS and people are getting banned. Not just from the CLI. From their whole Google account.
OpenAI and Anthropic explicitly allow 3rd-party harnesses. Google locks you out of Gmail for the same thing.
Developers are noticing. | 562 |
| 20 | ⚡️ Six fully open models, 0.9B to 375B. IFM means it.
MBZUAI's Institute of Foundation Models just dropped K2 Horizon, a fleet of six models with full weights, code, and training data. Not "open" in the Llama sense. Actually open.
375B at the top, 0.9B at the bottom for on-device. Every size tuned for a specific workload.
Honestly the "world's largest fully open model" claim is real this time. | 534 |
