To get access to the latest Gemini models, including the most recent experimental release that's currently at the top of the @lmsysorg leaderboard, use @googleaistudio.
You can also turn on features like code execution; use extended context (2M+); and turn off safety settings:
ππΌ This. The only reasonably close to 100% secure computer is an isolated machine encased in concrete, without access to the internet
(and even then, it's probably still exploitable in a weird and almost impossible to predict way)
The funny thing is everyone was saying AI slop code will cause a cyber crisis but itβs actually all the old human slop causing it and the AI is just cleaning it up
This is the most serious 48 hours in cybersecurity history.
"Black October" they're calling it
It seems every *hour* there's a new incident, that in a typical year, would be one of the biggest incidents of the *entire year*
SUMMARY OF THE LAST 48 HOURS:
YEAR-LEVEL INCIDENTS (In a typical year, these would be among the biggest incidents of the year):
1. PHP2Shell: a hole in the software behind ~70% of websites. Governments took sites offline.
2. eMudhra: the master keys that prove websites are real were cracked. One was the number 4.
3. California: data on every public school student since 2023 stolen, including disability status
4. Railway: hackers stole customers' secret keys from a hosting platform used by millions of developers
5. Zeabur: 321,810 accounts breached. The company is shutting down.
6. LiteLLM: an AI tool downloaded 3.4 million times a day was poisoned with a password stealer
7. GitLab: a 10-out-of-10 severity hole in every version since 2014
8. Cairn: criminals used an AI hacking tool to break into 100+ companies
9. Ahold Delhaize: hackers knocked the owner of Food Lion and Stop & Shop offline
10. Onamae: malware planted on up to 26,739 customer servers in Japan
MONTH-LEVEL INCIDENTS (In a typical month, these would be among the biggest incidents):
11. Signal: a bug could leave your mic and camera on after you hang up
12. NGINX: 3 critical holes in software running ~1/3 of websites
13. HTTP/3: a single connection can crash 7 of the 10 web server types tested
14. Plex: hackers breaking into home media servers
15. SafePay ransomware: FBI warns it has hit 600+ critical infrastructure organizations
16. Palo Alto: ransomware gangs breaking in through company firewalls
17. Bullhorn: platform used by 10,000+ companies knocked offline
18. Medi-Cal: 970,000 patients' data stolen
19. WordPress: hackers stole a plugin maker's keys and used them to plant backdoors on websites
20. AOMEI: backup software's update server handed out a backdoor
21. Meta Muse: Meta's AI agent exposed users' personal and business secrets
22. Tor: 333 relays hijacked to steal logins
23. TiDB Cloud: database company's cloud breached
Also serious:
24. State Bank of India: India's biggest bank confirms a data breach
25. OVHcloud: hackers slipped a password stealer into a cloud company's official tool
26. Siemens: a software hole being used to spread malware
27. North Korea: state hackers launch a new attack campaign on South Korea
still wild to think that only a couple of years ago, the mere mention of the word "migration" meant months (if not years!) of painful work
now itβs just a matter of pointing @antigravity or codex or claude code at a folder and letting it cook for a couple of hours π
Migrated my entire workload from Hermes to Antigravity today. All automations are up and running.
All I did was point Antigravity to my Hermes folder with all my skills, configs, and credentials. It handled the migration in about 2 hours.
Still a big fan of Hermes, but Antigravity makes it easier to work on big projects while handling the smaller automations I used Hermes for. Grok Bot takes care of news monitoring and my newsletter website.
ππΌ Really appreciate that @GoogleCloud gives its customers choices β across our excellent Gemini model family, but also @AnthropicAI, @OpenAI, @AIatMeta, and other open models.
You can only build the best and most expressive AI systems by having optionality. More to come! π
And there it is.
One place serving the three leading proprietary LLMs from @googlecloud, @AnthropicAI, and @OpenAI.
Easy hot-swapping for devs, while getting one invoice, unified identity management, and strict data perimeters around all of it.
https://t.co/NZt07E8Q3j
Following the trend, here are 780K+ human votes on how well LLMs can generate 3D objects from text using code. Our team had so much fun scrolling through the outputs.
Gemini 4 Argon takes #1, followed by GPT-6 Astra.
Explore all outputs, votes and rankings on https://t.co/hgXYMRn303
π¨ BREAKING: PHP is warning admins to prepare for emergency security updates tomorrow to fix two critical vulnerabilities rated CVSS 9.2.
However, security researchers at @watchtowrcyber rate the flaws CVSS 10.0 and say they are RCE vulnerabilities affecting PHP 5 through 8.
Information about the vulnerabilities has reportedly leaked ahead of disclosure.
No known exploitation in the wild.
π https://t.co/ZkCeLGaiAc
https://t.co/ZkCeLGaiAc
π½οΈ An entire room full of developers and creators packed into the @google offices tonight, working on tiny videos!
@NanoBanana, @FlowbyGoogle, @googleaistudio, and other @googledeepmind models and tools being used. Can't wait to see the shorts! π
We added Gemini 4 Argon to our AutoResearchExam Pareto curve. It is 2-3 times cheaper compared to the other frontier models for almost the same ML engineering performance. Congratulations to the GDM team.
"We are so committed to being at the frontier. Itβs in our DNA. We wonβt do it any other way."
@sundarpichai and @Kantrowitz go deep on Gemini 4 Argon (3x the token volume of Gemini 3 in its first 72 hrs!!), compute trade-offs, and the shift toward agentic coding and knowledge work. β¨
New: I spoke with @sundarpichai about Google's commitment to the AI frontier, how close we are to RSI, balancing DeepMind's compute needs vs. Google Cloud profits, and much, much more.
Full Big Technology Podcast episode here -->
Chapters:
0:00 Introduction
1:14 Googleβs Frontier AI Strategy
3:47 Do Frontier Models Really Matter?
6:35 The Future of AI Agents
7:39 Recursive Self-Improvement
12:58 World Models and the Path to AGI
14:56 Googleβs Compute Dilemma and AI Infrastructure
19:36 Is AI Overbuilt?
23:35 The Future of the AI Interface
31:42 Googleβs Answer to Muse and Dots
35:03 Apple, Space Data Centers, and AI Coding
41:42 Optimism and AIβs Future