Majed El-Azzi retweeted
Claude Code can now work like a research scientist.
K-Dense open-sourced 177 science skills for coding agents:
- Drug discovery: query ChEMBL, screen molecules with RDKit and DiffDock
- Single-cell RNA-seq analysis with Scanpy
- 100+ scientific databases in one place
- Biology, chemistry, medicine, physics, engineering, Earth science
- Works with Claude Code, Codex and Cursor
52K stars. free. MIT license.
github.com/K-Dense-AI/scient…
Majed El-Azzi retweeted
GLM-5.3 Flash EXL3 fp8 running on 3 x DGX Sparks with 8 concurrent session and a peak decode of 172 tps
Majed El-Azzi retweeted
HyperFrames is an open-source framework that turns HTML into deterministic videos, built for AI agents.
It just passed 65k stars and ships with skills for Claude Code and others:
→ Write compositions in plain HTML and CSS
→ Render seekable MP4s with animations
→ Works locally via CLI or through agent skills
→ Deterministic output for consistent results
→ No proprietary timeline or lock-in
github.com/heygen-com/hyperf…
Majed El-Azzi retweeted
Your app doesn’t need a cloud bill for every image.
If every upload calls a paid vision API, usage becomes a running cost.
MiniCPM-V 4.7 offers an open-source route to image understanding on your own hardware.
Here’s how I’d use it in an agent workflow. ↓
Majed El-Azzi retweeted
Talking about scientific breakthroughs: GPT-6 Astra got several physics answers right that experts initially marked wrong. TheoPhysEval’s authors found errors in the reference solutions and confirmed Astra was correct in those cases. Using Codex with tools and web access, it scored 49/50 (98%).
AI is becoming the best co-author one could ask for.
Majed El-Azzi retweeted
Good news for anyone trying to prove a model is theirs.
Sentient Foundation released the Fingerprinting Leaderboard, a free, open source benchmark that tests fingerprinting methods, meant to prove an AI model was copied from yours.
Researchers submit a method for hiding an ownership mark inside a model, and Sentient puts that mark into its own test models, tries to strip it out, then ranks the method on a public website.
The code that runs these tests, called mlprints, is released too.
A fingerprint trains a model to return unlikely answers to secret prompts, so an owner can test a suspected copy through its API alone.
But a fingerprint that survives every attack is still useless if the owner can’t read it back reliably.
Sentient Foundation’s Fingerprinting Leaderboard scores that verification step directly, alongside how well the mark resists removal and how much model skill it costs.
Sentient’s Perinucleus method embedded 24,576 fingerprints in Llama-3.1-8B without degrading utility, is also competing on the leaderboard, and the fingerprints survived standard fine-tuning.
🤝 Paid partnership
Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from.
Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.
fingerprint.sentient.foundat…
Majed El-Azzi retweeted
⏳ A CLOCK THAT TICKS IN TWO DIFFERENT TIMELINES?
Scientists are exploring a strange idea from quantum physics: a single clock could exist in a state where it ticks at two different speeds at the same time.
In Einstein’s theory, time changes depending on gravity — but it still moves in one clear way. Now researchers say that if a clock enters quantum “superposition,” it could experience two time rates at once, depending on different gravitational conditions.
It’s like one moment happening in two versions of reality.
They call it a “Schrödinger’s Clock” idea — where time itself may become uncertain, not just space or matter.
If true, it could change the future of physics and computing.
Source:
ScienceDaily. “Quantum clock in superposition suggests time dilation can occur simultaneously at different rates.”
Majed El-Azzi retweeted
join us next week to learn about speculative decoding!
Learn about how to get multipliers in local LLM speed-ups using speculative decoding in this livestream with @mervenoyann, @MaartenGr and @_EldarKurtic
youtube.com/watch?v=H4azmWcq…
Max Spero, CEO of @pangram and one of TIME’s 100 most influential people in AI, just joined @petergostev to talk AI detection.
@max_spero_ explains Pangram’s training process: synthetic mirrors, model-family fingerprints, AI-assisted writing, image detection and robustness against AI humanizers. They also cover how the team chooses base models, finds difficult training examples and builds the data and infrastructure to keep up with new AI models.
Watch the full conversation in the thread.
Majed El-Azzi retweeted
Finally, Claude Managed Agents finally supports OpenTelemetry!
Really excited about this feature. I’ve been asking for it for quite some time
Huge thanks to the CMA team for making it happen!
Majed El-Azzi retweeted
super interesting to see anthropic's roadmap in 2021, i think they were very early in everything related to RL/tool use
for the pre-training part, they mention "periodic batched backprop" and "skeletokenization" which might correspond to these two papers
arxiv.org/abs/1711.10563
arxiv.org/abs/2105.09352
Anthropic released their 2021 research roadmap earlier this year (because of copyright litigation); I think some people might find it interesting: i.sm4.ca/concise-research-ro…
Majed El-Azzi retweeted
I’ve long argued that enterprises spend far too much engineering talent keeping apps running. Serverless was supposed to fix that. The catch: Adopting it often meant reshaping the whole app and its integrations around the infrastructure you were supposedly escaping.
@AWS Lambda Web Functions takes a serious cut at that tax:
thisisfrontier.ai/news/aws-l…
Run familiar Node.js web applications. Handle concurrent requests. Stream AI responses. Let AWS handle scaling. And stop paying CPU charges while your code waits on a database or downstream API. Memory still costs money.
For enterprises, this lowers both the migration barrier and the operational burden. Existing skills become more useful. More ordinary web workloads become plausible serverless candidates.
The strategic implication: containers increasingly need to justify the operational machinery they bring along. “That’s how we deploy web apps” is becoming an expensive architectural reflex.
There are limits: Node.js only at launch, five regions, and workload economics that still need testing. Easier deployment doesn’t abolish governance or vendor dependence.
But this is the direction I’ve wanted serverless to go: less infrastructure ceremony, fewer application contortions, more engineering effort reaching the business.
Michael Dell says AI needs safeguards and controls, and government has a role to play cnbc.com/2026/10/13/michael-…
Majed El-Azzi retweeted
This free AI agent builder has exploded to over 158,000 GitHub stars
Dify lets you build and deploy AI agents, automated workflows, and knowledge-based applications in one open-source platform
You don’t need to be an AI expert to start building with it
Repo: github.com/langgenius/dify
Majed El-Azzi retweeted
𝗬𝗼𝘂 𝗰𝗮𝗻𝗻𝗼𝘁 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗳𝗼𝗿 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗵𝗲𝗻 𝗯𝗹𝗮𝗺𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝗳𝗼𝗿 𝗽𝗮𝘆𝗶𝗻𝗴 𝗮𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻.
Gen Z did not invent infinite scrolling, personalized recommendation engines, streaks, notifications, or business models that turn every additional minute of attention into revenue.
Yet we often discuss their behaviour as though millions of young people independently decided to become distracted at exactly the same moment.
Individual responsibility still matters, and people can build healthier habits, spend more time offline, and make deliberate choices about how they use technology. But personal discipline is only one part of the equation when the environment has been designed to make disengagement difficult.
A park is valuable, but it is not competing on equal terms with a personalized feed that studies every interaction and continuously learns what will keep someone watching.
This matters even more as AI makes those systems more persuasive, adaptive, and intimate. In Better AI, the objective cannot simply be maximizing engagement because the metric is profitable. We also need to ask whether the product supports human agency, connection, and growth.
Technology companies should not be blamed for every social problem, but they should be accountable for the behaviours their incentives deliberately encourage.
When a platform profits from maximizing attention, how much responsibility should it carry for the behaviour it helps create?
#BetterAI #AlgorithmicDesign #DigitalWellbeing #ResponsibleTechnology
Majed El-Azzi retweeted
Stop babysitting coding agents every time a chat session ends.
Overtime is an early-development terminal app for builders who want coding agents to keep working across sessions.
It helps you turn a brief into longer-running work by giving each agent its own folder, notes, schedule, and ability to wake when there is more to do.
Key features:
• Brief-first setup – create an agent with a name and plain-language job description
• Persistent agent folders – AGENT.md and INDEX.md carry the agent’s instructions and workspace map between sessions
• Time and event-based wakes – agents can schedule their next check-in or react to output from a watch script
• Existing coding-agent backends – drives tools such as Claude, Codex, Gemini CLI, GitHub Copilot, and OpenCode through ACP
• Decision handoffs – agents can continue other work while surfacing genuine choices with short recommended options
It’s open-source (MIT license).
Link in the reply 👇
































