Google Gemini
@GeminiApp ·
With Google SynthID detection in Gemini, anyone can easily check if an image, video, or audio file was made with AI from Google.
Just ask Gemini, “Is this AI generated?," so you can navigate the web with more confidence.
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People and companies shaping AI. Filter your watched accounts, catch up on recent posts, or find the most liked and viewed.
Compiled by the Toolstash team · Updated
209 watched accounts · 2977 matching posts · Showing up to 3,000 recent stored posts. Counts are snapshots, not live X totals. This page refreshes every minute while visible. Last collected .
Maziyar PANAHI@MaziyarPanahi ·
doctors and nurses, honest question: what's the one piece of paperwork you'd hand to an AI first?
Séb Krier@sebkrier ·
+100! Also if you're experienced in running multi-agent simulations, familiar with reward hacking/safety literature, and econ-minded - please comment below so I can keep you mind for some future work I'm exploring. 🃏
ThePrimeagen@ThePrimeagen ·
typecheck
Theo - t3.gg@theo ·
Good morning gamers
Vals AI@ValsAI ·
Ten Claude agents proved in Lean that seven electrons on a sphere settle into a pentagonal bipyramid. We’ve now written up the underlying method and suggest some values of N to tackle next.
Vox@Voxyz_ai ·
This Opus 5.5 prompt is literally a $𝟭𝟱𝟬/𝗵𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗮𝗹𝘆𝘀𝘁 🤯
I ran it through @aimlapi on the 30 most-viewed Claude Code tutorials of the past month: 𝟴 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝘃𝗶𝗱𝗲𝗼 𝗳𝗼𝗿 𝗷𝘂𝘀𝘁 $𝟮.𝟮𝟮 𝘁𝗼𝘁𝗮𝗹, and these 13 things kept coming up:
Before it builds → Let it interview you first (4 videos) → Give it a brief: the goal, what it can't touch, what done looks like (4) → Read its plan and fix it before it starts (4)
While it works → Sonnet or Haiku for simple work, Opus only for the hard parts (9) → Send research to a sub-agent that brings back only the answer, so your main chat stays clean (4) → Don't install tools yourself. Paste the link and let it install and set them up (6)
Checking the work → Give it a check it can run itself. It's only done when it passes (4) → Have a second agent review what it did (5)
Your setup → A workflow you'll need again? Once it works, have it save that as a skill (8) → Move details into separate files it opens only when needed (5) → Keep CLAUDE.md short (4) → Switch off skills you don't use (4) → Clear out outdated instructions (4)
They split on three: effort level (leave it alone vs turn it up), permissions (auto vs bypass), and plan mode (start in it vs skip it and write a brief).
The YouTube search, the transcripts, the 536 tips Sonnet 5.5 pulled from them and the grouping by Opus 5.5 all ran through @aimlapi's MCP. I kept only what 4+ videos agree on and left out the basics and feature tours. Connect it at http://aimlapi.com/mcp, swap in whatever you're learning, and paste this 👇
"Use AI/ML API MCP. Find the 30 most-viewed YouTube videos about [your topic] from the last 4 weeks and pull their transcripts. Use Sonnet to list every concrete tip in each one, skipping the basics and feature tours. Then use Opus to group the tips that say the same thing. Keep only the ones at least 4 videos agree on, with how many said each and a timestamp, and list where they contradict each other."
Wes Bos@wesbos ·
Ohhh boy - if you are coming to the meetup tonight you are in for a treat
roon@tszzl ·
honestly have no idea what frontier lab equity is worth; it seems highly plausible that huge top down slowdowns are coming, which would make frontier models uncompetitive. total nationalization also seems possible. anything could happen with this technology
Laurence Moroney 🇺🇸🇮🇪 🏴@lmoroney ·
Where should you start if you want to understand how LLMs work from the inside? A list of Andrej Karpathy's GitHub repos has been doing the rounds as a free learning path, and I think it's a good one. The core of it, roughly in order: micrograd (a tiny autograd engine, so you see how backprop works), nn-zero-to-hero (the video course that builds on it), nanoGPT (training a small GPT), llm.c (the same idea in raw C/CUDA), nanochat (a full ChatGPT-style pipeline he calls "the best ChatGPT that $100 can buy"), and autoresearch (agents running nanochat training experiments on a single GPU).
My advice: go slowly. Type out micrograd yourself, get it training on a toy dataset, and move on only when you can explain every line. If you want a PyTorch companion along the way, my book is linked below. 📚
#MachineLearning
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dax@thdxr ·
ok to put what i'm saying about demand in context
openrouter is the most successful model router, you can almost serve 100% of their deepseek traffic yesterday on a single GB300 rack
this is worth 6-7M...even if there's 10x this demand secretly that's still < 100M of compute
Alexandr Wang@alexandr_wang ·
how it feels to ride the subway and be disconnected from ur muse
Michael Truell@mntruell ·
Early days, but we're beginning to hire Bots onto our team.
Harrison Chase@hwchase17 ·
the hex team consistently gets what it means to build agents, and software to support them
three things that caught my eye from Hex 4.0 that mirror what we've done at LangChain and that I think speak to the future of building agents
1/ use code as a backbone. they moved from yaml to more flexible code. agents are really good at writing code, and people want lots of flexibility in UI, so i think we will see more teams have parts of their UI that are powered by code. We did this in LangSmith with Custom Apps (completely custom UI)
2/ UX focused on reviewing. "A new, intuitive Hex UI, built for reviewing and understanding". As agents do more work, the bottleneck becomes reviewing work. We did a similar thing in LangSmith with our new Trajectory view, focused on being a new view over agent trajectories that make it easy to review
3/ rebuilt core infra. "An all-new, ridiculously faster execution engine". agents will still use infra/software. and it will need to be faster/better to accomodate more usage. We did this in LangSmith with SmithDB, our custom database for agent traces
I think all these three things (lets agents write custom UIs as code, invest in UI/UX that make it easier to review, make your core infra more scalable) are all generalizable to any company building agents
congrats to Hex team on a great milestone and great launch!
Guillermo Rauch@rauchg ·
Mike Taylor@hammer_mt ·
Colleague: your writing has gotten better recently, it's much more consistent Me: that's because I have consistently been using Claude
merve@mervenoyann ·
this duo might make a comeback in 2027 if you manifest it hard enough so make sure to install https://llama.app and avoid the roast
Ryan Carson@ryancarson ·
I got to see @sandbar in action at dinner last night.
I will be buying one.
So good.
- Mike Taylor
@hammer_mt ·
This isn't helping my spiraling realization that nothing is valuable to build anymore because AI has sucked the margin out of software
Cursor@cursor_ai ·
New in Cursor design mode: Annotate.
Give agents visual prompts: edit elements, draw on the page, and review your designs at different screen sizes.
Hassan@nutlope ·
Introducing Bygga!
It walks you through assembling IKEA furniture step by step, with interactive 3D & voice instructions.
100% free & open source.
corbin@corbin_braun ·
come to realize part of what makes a S tier movie
is the sound track
if the sound track is missing
it can max out at 8 / 10
Mia@MiaAI_lab ·
GLM 5.5 Flash appears on OpenCode 👀
Alex Imas@alexolegimas ·
Being able to build a world, any world, in natural language and then interact with. Then change it in real time.
It’s just…insane.
Latent.Space: AI News & Views@latentspacepod ·
How Anthropic ships Claude with Claude
https://latent.space/p/opus55/
Opus 5.5 is the #1 LLM in the world right now. We go behind the scenes of the launch, with @katelyn_lesse and @angjiang, heads of Eng and Product behind the platform used to build everything from the first party harnesses like Code/Tag/Duet and by >50% of Anthropic's top customers!
Gergely Orosz@GergelyOrosz ·
Seeing how darn convenient it is having GrokBot integrated into X (an app I’m used to having on my phone all the time) I’m thinking Slack+Teams became the most valuable human/AI interface for work purposes
Salesforce + Microsoft not even realizing this like they should
OpenRouter@OpenRouter ·
Don't bet your company on just one source of intelligence when everyone else is using many.
Choose all kinds of brilliant
Artificial Analysis@ArtificialAnlys ·
Ling 3.1 Flash 1019, an open weights model and successor to Ling 3.1 Flash, scores 44 on the Artificial Analysis Intelligence Index v4.3, up from 41
@AntLingAGI has released Ling 3.1 Flash 1019, an update to Ling 3.1 Flash, their reasoning model with 560B total parameters, 25B active parameters, and a 1M token context window. It scores 44 on the Artificial Analysis Intelligence Index v4.3, up from 41 from Ling 3.1 Flash. Like Ling 3.1 Flash, Ling 3.1 Flash 1019 is open weights.
Key results:
➤ Ling 3.1 Flash 1019’s agentic capabilities improve over Ling 3.1 Flash. On AA-Briefcase v1.1, Ling 3.1 Flash 1019’s Elo is 1521, up 124 points from 1397 for Ling 3.1 Flash. Its Elo on GDPval-AA v2.1 is 1653, up from 1617 for its predecessor, an increase of 36 points. On AutomationBench-AA, Ling 3.1 Flash 1019 scores 68%, a 6 point increase from Ling 3.1 Flash’s score of 62%
➤ Ling 3.1 Flash 1019’s makes gains in scientific reasoning compared to its predecessor. Ling 3.1 Flash 1019 scores 43% on Humanity’s Last Exam, a 4-point improvement from 39% for Ling 3.1 Flash. It scores 26% on CritPt, an 8-point increase from 18%.
➤ Ling 3.1 Flash 1019 uses more output tokens per task than Ling 3.1 Flash. Ling 3.1 Flash 1019 uses 145k Output Tokens per Intelligence Index Task, more than 40% higher than Ling 3.1 Flash’s per task usage of 103k output tokens
➤ At $1.49 Cost per Task, Ling 3.1 Flash 1019 is more expensive than Ling 3.1 Flash but scores higher on intelligence. This is primarily driven by the higher number of output tokens used. However, Ling 3.1 Flash 1019 is still less expensive than models such as Mistral Large 4 Preview and GLM 5.3
Additional model details:
➤ Size: 560B total parameters, 25B active
➤ Context window: 1M tokens
➤ Pricing: $0.30 per 1M input tokens and $0.90 per 1M output tokens, with cached input at $0.06 per 1M (80% discount)
➤ License: MIT
➤ Availability: Ling-3.1-flash-1019 is available as an open weights model on Hugging Face, and is accessible through InclusionAI’s first party API
@levelsio@levelsio ·
Talked with my clanker and based on my nutrition I get about 200mg of magnesium per day
You need to get about 420mg per day, so I'm slightly deficient
About 60% of people are magnesium deficient and symptoms can be anxiety (and in turn bad sleep) because magnesium helps your brain regulate your nervous system and stress hormones like cortisol
I don't have any issues (no anxiety, no depression at all, mostly because regular gym and clean nutrition) but maybe good to take it to become even more chill
So I got Magnesium Glycinate supplements
I'll report back on the benefits! 😊
One thing interesting is yeaaaars ago when I had lots of anxiety (before I started going gym and eating clean) I remember taking magnesium and my anxiety just disappeared, so it def works!
Derya Unutmaz, MD@DeryaTR_ ·
I’ve been waiting for the Singularity for more than two decades! Back then, we thought it might arrive sometime around the middle of this century. Yet here we are, with the Singularity seemingly within reach, and more people are beginning to recognize what I have long believed to be the inevitable destiny of humanity.
The pace of change is accelerating so quickly that our usual sense of time is starting to break down. Developments we expected to take decades are happening in years and soon will happen in months then days, and what once seemed like science fiction is becoming part of our daily reality.
It feels as though the world is bending around an approaching singularity. The closer we get, the more distorted our perception of time becomes. Some people are still thinking in terms of the next 20 or 30 years, while some of us already see more changes coming in the next few. We are living in the same world, yet experiencing it on very different timelines.
That is why everything feels so disorienting. Our institutions, expectations, and assumptions were built for a much slower world. As Super-intelligence accelerates discovery and creates the tools for even faster progress, we are approaching a transformation that will redefine science, society, and even what it means to be human.
I’ve argued that we are approaching an intellectual event horizon beyond which our conventional understanding of the future, based on extrapolating from the past, becomes increasingly meaningless. What once seemed like science fiction is becoming reality before our eyes.
That is why the world feels so strange right now, at least for those who are already AI-pilled. We are witnessing the beginning of perhaps the most profound transformation in human history, and I believe we have barely scratched the surface of what is coming!