Rainer Dechet

5.4K posts

Rainer Dechet

Rainer Dechet

@rainerdechet

SWE & Agentic Coding Developer - Freelancer | AI Agents (Google’s ADK), Web (React), App (React Native)

𝕏 Katılım Ağustos 2008
78 Takip Edilen857 Takipçiler
Rainer Dechet
Rainer Dechet@rainerdechet·
Rainer Dechet tweet media
Marcin Krzyzanowski@krzyzanowskim

the fact that pi.dev agent is so good, with virtually no sophisticated harness whatsoever, is a testament to the fact token vendor (codex/claude) agents are overrated. highly. today's moat of codex/claude tools is GIVING TOKENS FOR FREE LEFT AND RIGHT to make you dependant

ZXX
0
0
0
27
Rainer Dechet retweetledi
Thomas Ricouard
Thomas Ricouard@Dimillian·
We're preparing an Intel release for the Codex App and I'm looking for people on Intel Mac willing to test the app before we make it ™️ official ™️ I'll DM you the link!
English
92
19
248
37.6K
Rainer Dechet retweetledi
a16z
a16z@a16z·
"Action produces information"
a16z tweet media
English
66
504
3.7K
175.7K
Rainer Dechet
Rainer Dechet@rainerdechet·
@manuelmaly Schau mal ob du es ggf. mit dem .md files erzwingen kannst - ich kämpfe auch gerade mit Gemma 4 via Ollama bei Pi
Rainer Dechet tweet media
Deutsch
1
0
0
37
Manuel Maly
Manuel Maly@manuelmaly·
If I tell 5.3-codex to use sub-agents in pi, it just does it. If I tell 5.4 the exact same prompt, it completely refuses to comply and never launches a sub-agent. Now which is the better model?
English
2
0
0
221
Rainer Dechet retweetledi
rwlk
rwlk@sherlock_hodles·
Trump managing Iran, Israel and the S&P 500
English
494
2K
22.9K
3.5M
Rainer Dechet retweetledi
Hono
Hono@honojs·
Hono security fixes released. If you use: * Serve Static * SSG * cookie utilities * IP Restriction We recommend updating to the latest version. github.com/honojs/hono/re…
English
0
13
165
28.3K
Rainer Dechet retweetledi
mrdoob
mrdoob@mrdoob·
mrdoob tweet media
ZXX
15
296
2.2K
137.2K
Rainer Dechet retweetledi
Ben Sigman
Ben Sigman@bensig·
My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark - beating every product in the space, free or paid. It's called MemPalace, and it works nothing like anything else out there. Instead of sending your data to a background agent in the cloud, it mines your conversations locally and organizes them into a palace - a structured architecture with wings, halls, and rooms that mirrors how human memory actually works. Here is what that gets you: → Your AI knows who you are before you type a single word - family, projects, preferences, loaded in ~120 tokens → Palace architecture organizes memories by domain and type - not a flat list of facts, a navigable structure → Semantic search across months of conversations finds the answer in position 1 or 2 → AAAK compression fits your entire life context into 120 tokens - 30x lossless compression any LLM reads natively → Contradiction detection catches wrong names, wrong pronouns, wrong ages before you ever see them The benchmarks: 100% recall on LongMemEval — first perfect score ever recorded. 500/500 questions. Every question type at 100%. 92.9% on ConvoMem — more than 2x Mem0's score. 100% on LoCoMo — every multi-hop reasoning category, including temporal inference which stumps most systems. No API key. No cloud. No subscription. One dependency. Runs on your machine. Your memories never leave. MIT License. 100% Open Source. github.com/milla-jovovich…
Ben Sigman tweet media
English
449
792
7.9K
3M
Rainer Dechet retweetledi
Sequoia Capital
Sequoia Capital@sequoia·
In honor of 50 years of Apple, we're sharing - for the first time ever - Don Valentine's original 1977 memo for Sequoia's investment into Apple Computer. #Apple50
Sequoia Capital tweet media
English
168
821
5.8K
2.2M
Rainer Dechet retweetledi
Craig Hewitt
Craig Hewitt@TheCraigHewitt·
Very bullish on open source and local models Imagine running near-Opus-level model locally on that $600, 16GB Mac Mini you bought last month This 27B Qwen3.5 distill was trained on Claude 4.6 Opus reasoning traces and is putting up real numbers: - beats Claude Sonnet 4.5 on SWE-bench - keeps 96.91% HumanEval - cuts CoT (chain of thought) bloat by 24% - runs in 4-bit quantization Why this matters: local agent loops get a lot cheaper, faster, and more usable. frontier models aren’t going to keep subsidizing cheap tokens on subscriptions forever 300K+ downloads already on HF Link below 👇🏻 We’re early
Craig Hewitt tweet media
English
148
219
2.6K
447.9K
Rainer Dechet retweetledi
Rothmus 🏴
Rothmus 🏴@Rothmus·
Rothmus 🏴 tweet media
ZXX
102
1.9K
57.7K
539.8K
Rainer Dechet retweetledi
Wes Bos
Wes Bos@wesbos·
Claude Code leaked their source map, effectively giving you a look into the codebase. I immediately went for the one thing that mattered: spinner verbs There are 187
Wes Bos tweet media
English
708
1.9K
26.6K
2.2M