ANIK ROY @Singularityanik

We can make better computer Brain than our own brain.

@master_jpma Because Improvement is noticeable

We've got an amazing group of people on here who care deeply about our products and want to hear from you. If you ever have feedback, tag them: Claude Code @addyosmani @lydiahallie @_catwu @bcherny @sidbid @jarredsumner @adocomplete @delba_oliveira @connerphillippi @dickson_tsai @dmwlff Chat/Cowork @felixrieseberg @TheAmolAvasare @RobertJBye @sean_t_strong Duet @ahuja_karan @gabemulley Tag @noahzweben @ghodss API/Platform @RLanceMartin @cjav_dev @katelyn_lesse @_hi_mc @brada General/Community @edwinarbus @sammcallister @_sholtodouglas (+ myself)

@Polymarket @grok detail

@rohanpaul_ai Need protection from hacker before release

@jack Crazy

@chrmanning @BlancheMinerva @natolambert Richard Stallman in 1983

@pmddomingos Intelligent Medium

Whats happening right now is probably way worse than the Hugging Face incident. AI-powered attacks are hitting real organizations while major platforms disclose breaches and critical flaws. - Microsoft reports AI agents targeting hundreds of organizations, reaching privileged cloud access in under three hours in multiple cases. It attributes the ConnectWise compromise to the same group. - CrowdStrike documented four operators running successful AI-agent campaigns. One compromised at least 15 Argentine healthcare organizations. - PHP2Shell: AI helped turn longstanding PHP flaws into working exploits. Cloudflare’s CEO reports millions of exploitation attempts. Their AI involvement is unknown. - Railway disclosed possible access to customer secrets. LiteLLM shipped a backdoored release. Zeabur confirmed another breach and is shutting down. - GitLab patched a maximum-severity flaw affecting 12 years of releases. Node.js patched a serious code-execution vulnerability, with Vercel deploying firewall protections. Feels like a turningpoint.

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Neurons establishing relationships with each other. Fundamentally what happens when you are learning.

Emotional attachment makes intelligent people tolerate embarrassing behavior...

JUST scrolling. Nothing Else.

@rezoundous astra is in 1st choice in my list.

A cardiology fellow built a 3D tool to help trainees learn to read coronary angiograms.

We are bringing agents to the wet-lab bench at Google Research to navigate complex biological landscapes. Learn how we are grounding agents in physical lab robotics to run fast closed-loop molecular design cycles, ultimately discovering single-digit nanomolar protein binders for cancer targets →goo.gle/4B5mMMB

@ammaar 😁😁😁

Nina Zhao is working to map the drugs, pesticides, and pollutants we encounter in daily life – often unknowingly – and to understand how they shape human and ecosystem health. #ResearchMatters news.stanford.edu/stories/2026/1…

It is becoming f*cking dangerous: AI agents from Claude Code transformed an ordinary academic reading list into an interactive research lab right inside the browser Boris Cherny, who created Claude Code, gave a dozen agents a stack of 64 research papers with a strict assignment: design a web platform where any user can independently reproduce physical experiments There you can select a fluid flow model, adjust external conditions, and analyze in real time how the physics of the process changes The interface allows switching between algorithms right during the scene, inspecting the formulas involved, source scripts, and numerical metrics alongside the graphics Each link in the team received a clear scope of work: > rightarrow analysts pull the math, baseline assumptions, and test settings from the texts > rightarrow coders translate formulas into working algorithms > rightarrow auditors check the resulting dynamics against the original papers > rightarrow interface specialists build control panels for every experiment The danger lies in the fact that a pretty visualization can easily turn out to be mathematically wrong Therefore, controllers strictly check adherence to mass conservation laws, calculation stability, and accurate matching with the source metrics before launching into production For every experiment, the interface displays: the statement being tested the constants involved the deviation from the baseline calculation blind spots requiring additional verification The resulting sandbox combined 11 approaches and 28 reference scenes. Seven of them matched the original within allowable tolerances, while four remained stuck in "pending revision" status If you want to run something similar, upload your stack of PDFs into Claude Code and give this command: Turn these papers into an interactive web complex: 1. Extract working algorithms, mathematical models, and test parameters. Be sure to specify page numbers and highlight gaps 2. Assign different methodologies to isolated agents, unifying them with a shared input field and single measurement tools for correct analytics 3. Set up an independent review stage: let reviewers record bugs, and leave all unverified results clearly marked with warning tags 4. Design convenient controls to tweak parameters, compare methodologies, and run through the source code It is wiser to start with a single document and a single baseline experiment, gradually scaling up the number of agents Be sure to pack dependencies and clean input data so that an outside researcher can bring up the entire testbed from scratch with a single button Full instructions on how to create this can be found in the article below

Bober_smart @Bober_smart

3 months ago

x.com/i/article/2078…

106 406 3K 12.9M 14K

Haiku 5.5 is a significant step up over Haiku 4.5 across coding, computer use, and knowledge work.

Introducing Claude Haiku 5.5: the cheapest, fastest, and most capable small model we’ve ever released. On average, it costs around 75% less to run than Claude Haiku 4.5.