JUST IN: Scientists say AI has decoded communication patterns in mice, dolphins, apes, birds, whales, & cuttlefish — could eventually lead to humans communicating directly with animals.
Nigdy nie mieliśmy lepszej prasy zagranicą... wykorzystajmy to. Ważne by talent i kapitał wracał do naszej gospodarki - wówczas złote czasy przed Polską📈.
Truly amazing how far Lisa has come from her days as a researcher at IBM........
30 years later and she's now CEO of one of the biggest companies in the world, created one of the greatest comebacks in history at AMD, has a net worth of $1.6B and continuing to lead the world on the future of AI......
There truly are some incredible people out there.....
Bravo @LisaSu Bravo indeed...... 👏👏👏
Lisa needs an autobiography......... but I doubt she has enough time to write it!!! 😅😅😅
$AMD
So many browser exploit chains that Pwn2Own is rejecting fully demonstrated submissions.
I'm sure it's a fine time to be browsing the internet.
https://t.co/UBnKfw6Wkg
‼️🚨 Pwn2Own Berlin 2026 just hit a wall. For the first time in 19-years, ZDI rejected dozens of working zero-day RCE submissions because organizers ran out of contest slots.
Rejected hackers are now going public with PoC demos and direct vendor disclosures, breaking Pwn2Own's usual secrecy.
▪️ AI surfaces a massive wave of 0-day RCEs.
▪️ Submissions overwhelm ZDI past max capacity.
▪️ Slots run out. Researchers with working chains get rejected.
▪️ "Revenge disclosures" begin. ← we are here.
Confirmed casualties so far:
▪️ @xchglabs : 86 vulnerabilities prepared (PyTorch, NVIDIA, Linux KVM, Oracle, Docker, Ollama, Chroma, LiteLLM, llama.cpp). All rejected. Now reporting directly to vendors with writeups dropping as patches land.
▪️ @ggwhyp : full-chain Firefox RCE on Windows. Rejected. Publicly demoed (HTML page → cmd.exe → calc.exe). Responsibly disclosed to Mozilla.
▪️ @yunsu_dev : working RCE chain, rejected. Submitting elsewhere.
▪️ @ryotkak : tried to register for 3+ weeks. ZDI confirmed "at maximum capacity, can't add extra contest days." Considered canceling flight and hotel.
▪️ @anzuukino2802 : Claude Code RCE PoC. Rejected.
▪️ @desckimh : 0-day RCEs in Ollama and LM Studio. Rejected.
Reported impact: a community-estimated 150+ researchers tried to register. Accepted contestants are now being warned about collisions. Rejected vulnerabilities going to bug bounty programs may trigger pre-event patches that invalidate the work of those who got in.
ZDI has not publicly addressed the capacity issue. The event still runs May 14-16 in Berlin.
As an offensive researcher, what scares me isn’t that LLMs can find bugs today.
It’s the post-LLM era:
well-engineered, security-hardened code written with AI assistance, and the industry’s massive shift toward memory-safe languages with help of LLMs
PoCs for Apache Tomcat Unauth RCE (CVE-2026-34486) and Apache httpd Pre-auth RCE (CVE-2026-23918) are now public on our Github.
Tomcat exploit is fully reliable. httpd chain works in a controlled lab setup with a known info leak.
https://t.co/D3dg5iTuwP
https://t.co/2zyr1ds4Mo
A relatively unknown SpaceX rival has rallied 6,000%, powered by a mob of zealots and a stock guru known as the Kook. Bloomberg's @sana_pashankar has more https://t.co/gCdRfvTE6Q
Największą wartością AI nie jest cięcie kosztów, tylko uwolnienie ludzi od nudnych zadań i przesunięcie ich do pracy, w której mogą dać znacznie większą wartość. AI pozwala wynieść pracę na wyższy poziom.
Bardzo fajny przykład daje IKEA. Gdy chatbot AI o nazwie Billie przejął prawie połowę zapytań klientów - firma nie zwolniła 8500 pracowników supportu. Zamiast tego przeanalizowała, jakich spraw AI nadal nie potrafi dobrze obsłużyć. Okazało się, że klienci potrzebują bardziej ludzkiego doradztwa przy urządzaniu mieszkań. IKEA przekwalifikowała więc tysiące osób z call center na konsultantów wnętrzarskich i home planning, zamieniając automatyzację kosztów w nowy strumień dający blisko 1,4 mld euro dodatkowego przychodu.
Firmy, które zwalniają ludzi zamieniając ich na AI - tracą szansę na ucieczkę do przodu. Chwilowo mogą oszczędzić parę złotych, ale w długim terminie zostają w tyle, kiedy ich konkurenci, łącząc ludzi + AI uzyskują ogromną przewagę.
Harvard just tested AI against ER doctors in real emergency triage.
AI nailed diagnoses 67% of the time.
Doctors: 50-55%.
Especially strong with minimal info - exactly when every second counts.
A “profound change” in medicine is here.