Oscar In LA ❌ (@oktboy) header
Oscar In LA ❌ (@oktboy) profile picture

dope money hope money

Los Angeles
Joined May 2010
Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)Photo by Oscar In LA ❌ (@oktboy)
Oscar In LA ❌ retweeted
WOWW!! THIS IS INSANE. Someone turned $6,959 into $1,300,000 in just 3 WEEKS. A 18,580% return.
21
19
174
6,744
Oscar In LA ❌ retweeted
JUST IN: Bitcoin reclaims $79,000
680
922
143
8,589
569,593
Oscar In LA ❌ retweeted
Chief Keef really can't believe Solange is a fan of his 😭 "yo what the f*ck is going on?"
32
100
30
2,887
1,078,816
Oscar In LA ❌ retweeted
This wallet just drained hundreds of wallets on Eth for over $733,000
31
8
1
214
28,450
Oscar In LA ❌ retweeted
JUST IN: $META crashes 10%, wiping out $175,000,000,000 from its market cap today.
574
643
123
5,219
481,536
Oscar In LA ❌ retweeted
JUST IN: Canada to remove ~4,000 Bitcoin ATMs across the country
202
194
77
1,413
206,958
Oscar In LA ❌ retweeted
In new Anthropic Fellows research, we discuss “introspection adapters": a tool that allows language models to self-report behaviors they've learned during training—including potential misalignment.
Can LLMs simply tell us about unwanted behaviors they’ve picked up in training? We train a single Introspection Adapter (IA) that makes fine-tuned models describe their behaviors. It generalizes to detecting hidden misalignment, backdoors and safeguard removal.
122
140
32
1,426
231,795
Oscar In LA ❌ retweeted
New on the Science Blog: We gave Claude 99 problems analyzing real biological data and compared its performance against an expert panel. On 23 problems, the experts were stumped. Our most recent models solved roughly 30% of those—and most of the rest.
233
259
105
2,584
447,629
Oscar In LA ❌ retweeted
Claude Code ships with a built-in skill for working with the Claude Platform. Useful for model migrations, using API features (e.g., prompt caching), or onboarding to newer APIs like Claude Managed Agents.
120
214
33
3,500
314,762
Oscar In LA ❌ retweeted
The Built with Opus 4.7 Claude Code hackathon is a wrap! Thank you to the 500 participants worldwide, and to @cerebral_valley for co-hosting. Here's how the winners combined multi-agent orchestration, persistent memory, MCP tools, sandboxed execution, and smart prompt design 🧵
61
66
11
1,219
125,909
Oscar In LA ❌ retweeted
Claude now connects to the tools creative professionals already use. With the new Blender connector, you can debug a scene, build new tools, or batch-apply changes across every object, directly from Claude.
1,524
4,159
2,526
45,538
12,926,163
Oscar In LA ❌ retweeted
Another Claude Code hackathon comes to an end. Thank you to everyone who spent a week building with Opus 4.7, and to @cerebral_valley for co-hosting. Introducing the winners:
243
319
85
7,576
1,670,564
Oscar In LA ❌ retweeted
Claude Security is now in public beta for Claude Enterprise customers. Claude scans your codebase for vulnerabilities, validates each finding to cut false positives, and suggests patches you can review and approve.
819
1,868
891
21,006
4,918,888
Oscar In LA ❌ retweeted
Mother’s Day, just saying.
For a limited time: BOGO Seekers when you pay with SKR through May 10th 📱📱 Buy a Seeker with SKR and gift one to a friend for free. Help grow the Seeker family 🧵
5
20
6
200
29,935
Oscar In LA ❌ retweeted
We created a Full Movie for @Pumpfun To Unite the trenches. Featuring your favourite KOLs, and Alon! Only on Pumpfun Live. We hope to fulfill @a1lon9's vision of PF Entertainment. Trailer Below $MOVIE
101
84
27
495
59,789
Oscar In LA ❌ retweeted
Seeker Szn
88
70
13
525
105,805
Oscar In LA ❌ retweeted
Solana Stories: Seek and Deploy @solanamobile @m_it
266
258
25
1,145
273,384
Oscar In LA ❌ retweeted
This is the way
Prove citizenship when registering Vote with photo ID On a paper ballot On one day In person (exceptions available based on demonstrated need)
6,400
16,664
518
127,633
26,394,492