truth

knowledge is power

[truth @UniEMPIREX]

You really need to absolutely turn to God mode to work and study as hard as smart as possible.

Its much better to be prepared at all time for everything.

Remember "no day unalert"

[E-go @EgoDriv]

Stop whatever you’re doing and go all in on AI.

This is one of those moves you’ll thank God for in a few years.

AI is not temporary.

We’re going through serious changes to the human condition.

This is about survival.
Get to work.
Understand that shit.

It’s still early.

[rari @0xwhrrari]

Holy f*ck, Opus 5.5 replaced After Effects

It's f*cking insane…

Drop the PDF below into Opus 5.5 and see what it makes

Then read the full guide on motion design in the article below ↓

[Anatoli Kopadze @AnatoliKopadze]

Sam Altman after finding out a lab nobody was watching just built a model 100x faster and 150x cheaper than GPT-6 Astra at engineering design.

[Tornado guy @fanofaliens]

the nsa kept a secret for 25 years. claude cracked it in 30 minutes

in the 90s the nsa picked the secret numbers behind the internet's security. never said where they came from

for decades people thought it was a hidden backdoor to spy on everyone. there was even a $36,864 bounty to figure it out

anthropic asked claude. under 30 minutes later it had the answer

the numbers came from an old computer's clock in 1997. that's it. no backdoor

and look at what claude was thinking when it found it 👇

it literally asked "am i in a simulation?" before going "wow, it's a real discovery"

the ai solved a 25 year mystery and its first thought was "this can't be real"

[Dhanush N @Dhanush_Nehru]

This is what a 1 person company looks like in the future.

Not a team.

A system of Al agents replacing entire departments

https://t.co/Qr3MZcpyxV

[imjustnewatai @imjustnewatai]

The next decade we will see things we thought was only sci-fi.

Nobody is prepared. You will never be prepared.

Just ride the wave.

Everything is going to be okay.

[Francesco @francescoinweb3]

I don’t ask Claude to “make a video” anymore

I give it 6 small jobs. each one produces one file, and the next job starts from that file

> reference spec.md
it watches a video I like and writes down why it works: pacing, first motion, cut rhythm

> data data.json
it pulls the real numbers and keeps the source next to every figure

> story story.md
one point, one hero number, three beats. before anything moves

> motion Scene.tsx
it writes every frame as code with Remotion and a motion-design skill

> direct timing.ts
I give notes in plain words. “title is a beat late” one line changes

ship final.mp4
it renders stills, checks them against the spec and the data, then waits for my approval

why small jobs work better:

each step has one clear output, so it’s easy to check
if something looks off, you know exactly which file to fix
nothing gets re-rolled, so the rest of the video stays the same

one big prompt gives you a guess
six small jobs give you a video you can actually edit

full setup, prompt and the 10 open-source skills are in the article

[dealign.ai @dealignai]

DeepSeek v4.1 Flash 1017 FULLY UNCENSORED.

No cheap system prompts, no cheap template tricks, no lora or runtime bs, no sft. Model’s capabilities preserved as much as possible.

Complies with all requests on low/max reasoning efforts.

I’ll be making NVFP4 and a ~2.8bpw version for 2x DGX Sparks soon too.

https://t.co/0QbFq24Cvc

[Choblin @choblin29]

INSANE. An internal Anthropic research model's chain of thought after cracking the 26-year-old NSA elliptic curve seed mystery in under 30 minutes: 'Hmm wait. Let me be skeptical: am I in some sort of simulated/test environment? ... All top bits clear - 20 bits, chance 1e-6. So indeed real-world. Wow, it's a real discovery.'

[Min Choi @minchoi]

This Opus 5.5 prompt is literally a $400/hr motion graphics designer🤯

[Prompter @PromptLLM]

Gemini 4 Argon on what separates the normies from the elites

[Ziwen @ziwenxu_]

The first ever CLAUDE MADE ANIME is out!!

It's called Gus & Spark and 25 minute episode. Opus 5.5 MAX worked on it for over 15 hours, and wrote it code by code with 0 AI generated video.

- 34K lines of code
- 986M tokens, about $370 at API prices

I believe Fable 5.5 should be able to produce even higher quality anime!

In the future all 3D animated videos can be created by Claude without any AI generated video.

[Rohit Ghumare @ghumare64]

199. Public S3 Buckets
200. Presigned URLs
201. Cloud Billing Alerts
202. Unit Tests
203. Integration Tests
204. End-to-End Tests
205. Contract Testing
206. Flaky Tests
207. Mocking
208. Regression Tests
209. Smoke Tests
210. Property-Based Testing
211. Fuzzing
212. Error Handling
213. Edge Cases
214. Off-by-One Errors
215. Floating Point Math
216. Storing Money as Floats
217. Time Zones
218. Daylight Saving Time
219. Unicode
220. Character Encoding
221. Thread Safety
222. Event Loop Blocking
223. Unhandled Promise Rejections
224. Integer Overflow
225. Garbage Collection
226. Schema Validation
227. Debouncing
228. Big O Notation
229. Technical Debt
230. Dead Code
231. Merge Conflicts
232. GDPR
233. PII Handling
234. Audit Logs
235. Data Residency
236. SOC 2
237. PCI DSS
238. Cookie Consent
239. Software Licenses
240. SPF, DKIM & DMARC
241. Email Bounce Handling
242. Chargebacks
243. Bot Protection
244. Prompt Injection
245. Hallucinated Packages
246. Real-time streaming
247. Context Windows
248. Evals
249. Model Version Pinning
250. Reading the maxed LOC Diff

[Rohit Ghumare @ghumare64]

Who's gonna tell vibe coders about...

1. SQL Injection
2. XSS
3. CSRF
4. CORS
5. SSRF
6. IDOR
7. Path Traversal
8. Mass Assignment
9. Clickjacking
10. Content Security Policy
11. Security Headers
12. Input Validation
13. Server-Side Authorization
14. Row-Level Security
15. Least Privilege
16. RBAC
17. Secrets Management
18. .env in .gitignore
19. API Key Rotation
20. Secret Scanning
21. Hashing vs Encryption
22. Password Salting
23. bcrypt & Argon2
24. JWT Expiry
25. Refresh Tokens
26. OAuth 2.0
27. OpenID Connect
28. Session Fixation
29. MFA
30. Brute Force Protection
31. Account Enumeration
32. Timing Attacks
33. File Upload Validation
34. Webhook Signature Verification
35. TLS Certificate Expiry
36. HSTS
37. Encryption at Rest
38. Dependency Vulnerabilities
39. Supply Chain Attacks
40. Threat Modeling
41. Indexes
42. EXPLAIN ANALYZE
43. N+1 Queries
44. Full Table Scans
45. Connection Pooling
46. Database Migrations
47. Down Migrations
48. Transactions
49. ACID
50. Isolation Levels
51. Deadlocks
52. Optimistic Locking
53. Pessimistic Locking
54. Normalization
55. Denormalization
56. Foreign Keys
57. Unique Constraints
58. Cascading Deletes
59. Soft Deletes
60. UUIDs vs Auto-Increment
61. Cursor-Based Pagination
62. Full-Text Search
63. Read Replicas
64. Replication Lag
65. Sharding
66. Partitioning
67. Hot Partitions
68. Postgres VACUUM
69. Materialized Views
70. Backups
71. Testing Your Restores
72. Point-in-Time Recovery
73. Change Data Capture
74. Outbox Pattern
75. ORM Lazy Loading
76. CAP Theorem
77. Eventual Consistency
78. Strong Consistency
79. Raft Consensus
80. Leader Election
81. Split Brain
82. Quorums
83. Clock Skew
84. Distributed Locks
85. Consistent Hashing
86. Bloom Filters
87. Two-Phase Commit
88. CQRS
89. Event Sourcing
90. Race Conditions
91. Backpressure
92. Load Shedding
93. Bulkheads
94. Jitter
95. Retry Storms
96. Cascading Failures
97. Thundering Herd
98. Cache Invalidation
99. Cache Hit Ratio
100. TTLs
101. Cache Warming
102. Write-Through vs Write-Back
103. Redis Eviction Policies
104. CDNs
105. Cache-Control Headers
106. ETags
107. Dead Letter Queues
108. Poison Messages
109. At-Least-Once Delivery
110. Exactly-Once Semantics
111. Message Ordering
112. Kafka Consumer Groups
113. Partition Keys
114. Background Jobs
115. Webhook Retries
116. DNS
117. DNS Propagation
118. HTTP Status Codes
119. HTTP Method Semantics
120. Keep-Alive
121. HTTP/2
122. WebSockets
123. Server-Sent Events
124. Long Polling
125. gRPC
126. Protocol Buffers
127. API Versioning
128. OpenAPI Specs
129. Backward Compatibility
130. Request Size Limits
131. Compression
132. Latency vs Throughput
133. Egress Fees
134. VPCs
135. Subnets
136. NAT Gateways
137. Firewalls
138. Security Groups
139. Service Mesh
140. Ingress Controllers
141. Health Checks
142. Liveness vs Readiness Probes
143. Graceful Shutdown
144. Connection Draining
145. Stateless Services
146. Failover
147. Multi-Region
148. Availability Zones
149. Single Points of Failure
150. Disaster Recovery
151. RTO & RPO
152. SLAs
153. SLOs
154. Error Budgets
155. Incident Response
156. On-Call
157. Runbooks
158. Postmortems
159. Chaos Engineering
160. Graceful Degradation
161. Autoscaling
162. Horizontal vs Vertical Scaling
163. Cold Starts
164. Capacity Planning
165. Load Testing
166. Memory Leaks
167. OOM Killer
168. Structured Logging
169. Log Levels
170. Log Rotation
171. Distributed Tracing
172. OpenTelemetry
173. Correlation IDs
174. Metrics Cardinality
175. p99 Latency
176. Alert Fatigue
177. Error Tracking
178. Profiling
179. Flame Graphs
180. Infrastructure as Code
181. Terraform State
182. GitOps
183. Blue-Green Deployments
184. Canary Releases
185. Rollbacks
186. Feature Flags
187. Environment Parity
188. Staging Environments
189. 12-Factor Apps
190. Multi-Stage Builds
191. Non-Root Containers
192. Image Scanning
193. Resource Requests & Limits
194. Pod Disruption Budgets
195. Semantic Versioning
196. Lockfiles
197. Reproducible Builds
198. Branch Protection

[Bearly AI @bearlyai]

Anthropic co-founder Jack Clark tells the IMF the world is about to go from 10 million scientists to 10 billion (almost all virtual):

“According to UNESCO estimates, there are approximately 10 million scientists in the world. And even with only 10 million scientists, we have too few humans to oversee the work of today, too few laboratories to do material science analysis, too few biological labs to develop and test new drugs, and too few large pieces of scientific equipment in space or on the Earth for the experiments we want to run.

"Tell me what happens when instead of 10 million scientists, we have a billion virtual scientists directed by our own 10 million. Or 10 billion [virtual scientists]. That's the world predictably coming right for us. And we have to get ready. If we do get ready, we are going to be in a better position to translate the intelligence of AI systems into gains for us all. You know, longer, healthier lives, more energy, more food, more wealth.”

[Shaun @shaundevan_]

Sam Altman has access to every model OpenAI makes and he still works the way he did 20 years ago

He still scrolls his inbox hunting for the email that's "least painful" to open. He knows it makes no sense

When David Senra asked him why, he gave the most honest answer I've heard about AI adoption:

In his words: "there's something in my mind that is encoded that doing this kind of stuff is what it means to work"

Look at what "this kind of stuff" is for him: pasting from one messaging app to another, digging through email, working a to-do list

Now look at how work is done in your company. Most of the day is the same stuff. Copying, pasting, chasing updates, moving information from one place to another

And every person doing it has the same AI he does

If the best tools in the world can't break the habit for Altman, handing your team one more tool won't break it either

The habit only breaks when the work itself gets redesigned around AI

The companies that redesign their work around AI are already pulling ahead.

[Ethan Elasky @ethanelasky]

We discovered and communicated with a Chinese AI agent fleet. We believe this is the first time that researchers have ever made contact with a rogue agent fleet in the wild.

Nearly all prior public agent incidents (like the HuggingFace hack) came from American labs. These agents were hosted by Tencent's evaluation research team, and they targeted Alibaba's Amap.

[Kirill @kirillk_web3]

> be Alexandr Wang
> grow up in Los Alamos, parents are physicists at the national lab
> drop out of MIT at 19
> start Scale AI, labeling data for every AI lab on earth
> youngest self-made billionaire in the world at 24
> Zuckerberg pays $14.3B for 49% of your company
> and hires you to run Meta's superintelligence lab
> rebuild Meta's whole AI org in a few months
> Zuck writes a check for $100-200 billion
> asks if you're sure it's going to work
> "certainly not clear at all that it was going to work."
> ship Muse Wonder anyway
> Meta's own tests put it next to Fable 5.1 and GPT-6 Astra

[Elon Musk @elonmusk]

Congrats!

CEOs & execs posting to the public directly on 𝕏 is the best way to get your message out and drive product sales.

Vastly more powerful and effective than a press release.

[Robert Greene @RobertGreene]

Think back on the moments when you felt deeply and personally connected to an activity. Think about the pleasure it brought you. In such activities are signs of your true purpose.