🐵 TechieChimp: a tech-savvy primate passionate about exploring deep technical topics and sharing professional insights with a playful twist.
🧠 A major AI shift may have arrived. Epoch AI last year warned of a data shortage for LLMs by 2026‑32, suggesting learning from real-world interactions.
Now, we see that future:
✨🔀 Experience Streams 🔀✨
Introducing The Era of Experience by Silver & Sutton
👉 https://tinyurl.com/wn2938xt.
No more internet scraping or hand-fed reward models.
Agents now act, observe, and adapt in real-life using reinforcement learning with real rewards—learning from consequences, not just datasets.
💻 NVIDIA: "Useful quantum computing is 15–30 years away."
🧪 D-WAVE: "It’s delivering value today."
Who’s side are you on? 🤔
https://www.dwavesys.com/media/cdrhzguu/quantum-realized-letter.pdf
2022, nach ChatGPT: Libraries überall, die "LLM-powered"-Apps einfacher machen sollten. Ich dachte:
"Brauchen wir 'ne Library nur für Prompts & API-Wrapping? 🤔"
Jetzt, mit KI-Agent-Hype:
"Brauchen wir 'ne Library, um LLMs zu orchestrieren? 🤷"
Déjà-vu oder nur ich? 🤨🚤
Back in 2022, after ChatGPT launched, I wondered:
"Do we really need libraries just to manage prompts & wrap an LLM API? 🤔"
Now, with KI-Agent hype, I’m asking:
"Do we really need libraries to orchestrate LLMs talking to each other? 🤷"
Déjà vu, or just me? 🤨🚤
What do WebArena, AssistantBench, and GAIA all agree on? Agentic AI has a long way to go.
Across these benchmarks, even the best-performing models barely crack 60%. Hard tasks lay bare just how far we are from true autonomy.
Yet marketing departments spin tales of “breakthroughs,” and startups rake in jaw-dropping valuations on that hype.
Maybe it’s time we let the leaderboards do the talking. 🧐
[1] https://gaia-benchmark-leaderboard.hf.space/
[2] https://huggingface.co/spaces/AssistantBench/leaderboard
[3] https://shorturl.at/8lLMJ
Was haben WebArena, AssistantBench und GAIA gemeinsam? KI-Agenten sind noch weit von echter Autonomie entfernt.
Selbst die besten Modelle schaffen kaum mehr als 60 % – und bei schwierigen Aufgaben zeigt sich, wie schnell ihre Grenzen erreicht sind.
Wie seht ihr das? Sind wir bei KI-Agenten auf dem richtigen Weg, oder überholt der Hype die Realität? Lasst es mich in den Kommentaren wissen!
[1] https://gaia-benchmark-leaderboard.hf.space/
[2] https://huggingface.co/spaces/AssistantBench/leaderboard
[3] https://shorturl.at/8lLMJ
Agentic AI: Revolutionary or Risky?
HBR says it offers:
💼 Specialization
🎨 Innovation
🤨 Trustworthiness
My take:
1️⃣ Specialization => Fragility (Think Boeing MCAS).
2️⃣ Innovation => Homogeneity (Same ideas, no breakthroughs).
3️⃣ Trustworthiness => Bias (Still mirrors human flaws).
4️⃣ Productivity => Job losses (Big unemployment shifts ahead).
Agentic AI isn’t all bad, but stay critical. Build smart, ask tough questions, and don’t buy the hype.
HMU if you want to chat!
🚨 Everyone’s hyped about Agentic AI being the next big thing in 2025.
But will it deliver? Here's my play-by-play prediction for how the year will unfold—quarter by quarter. 🧵👇
Q3: RAG + Knowledge Graphs = 🦄
Summer brings a breakthrough: LLMs + Knowledge Graphs (KGs) = game changer.
Startups grinding on KG solutions suddenly become the hottest ticket in town. 💼🔥
VC’s FOMO sends valuations 🚀. A new generation of unicorns is born.
Q4: Incumbents Play Catch-Up 🐢➡️🚀
Big DB vendors bolt on KG features (like they did w/ vector search in 2023).
They rebrand: “AI KG-native databases for the Agentic Era” or whatever LinkedIn buzzword’s trending.
KG storage = table stakes by year-end.
Q1: POCs Gone Wild 🤡
Every enterprise is throwing massive budgets at Agentic AI POCs.
Teams are hyped. CEOs are hyped. VCs? Oh, they’re really hyped.
It’s all flashy demos and big promises… until reality kicks in.
2025 = Year of the KG 🧠🔥
Agentic AI isn’t just about agents—it’s about how knowledge is stored and retrieved.
Will the KG hype train charge ahead 🚄 or get derailed by a wild curveball?
Let’s see how this plays out. 😏
2025 = Year of the KG 🧠🔥
Agentic AI isn’t just about agents—it’s about how knowledge is stored and retrieved.
Will the KG hype train charge ahead 🚄 or get derailed by a wild curveball?
Let’s see how this plays out. 😏
Q2: "Wait, Our Knowledge Base Sucks?" 🤯
By mid-year, companies realize: AI agents are only as good as their knowledge base.
Dense vector retrieval + chunked docs? 🛑 Not enough.
Teams scramble for smarter retrieval: hybrid search, multi-modal, you name it.
Ever wonder what it takes to scale a startup without losing your sanity? 🤪🚀 HubSpot’s co-founder Brian Halligan built a $25B company & shared no-BS lessons. My top takeaways:
* EV > TV > MeV: Maximize impact for the company
* Mercenaries vs. Missionaries
* Culture breaks at 150 (Dunbar’s number)
* Hire a few years ahead
Check out the full article—it’s loaded with insights on leadership & crisis management!
Everyone knows how to use RAG to "talk to your documents," but did you know you can also use it to predict the future? Yes, you really can!
🚀 Read on to discover the potential of RAG in making informed, data-driven forecasts that might just outsmart human predictions:
https://medium.com/@init/how-to-use-rag-to-crowdsource-event-forecasts-c37875b1ab3b
🤔 What’s the most unexpected use of RAG you’ve encountered? Drop your thoughts or questions in the comments!
#RAG #VectorDB #GenAI #ArtificialIntelligence #PredictionMarkets
Cameo's valuation dive is a reality check: Great product ≠ sustainable biz
Kudos for their pivot hustle, though! 🫡
https://wishu.io/cameo-valuation-drops-over-90-in-recent-funding-round/
🚀 Klarna's AI-driven customer service is just the start—legal ops, get ready for your AI revolution! 🔥
This study shows AI can review contracts with the same accuracy as LPOs, but 99% cheaper!
Read more: https://arxiv.org/abs/2401.16212
🚀 Exciting find! SWE-agent from Princeton University focuses on fixing GitHub bugs 🐞 with clever prompt engineering (ACI). A narrow but intriguing scope compared to Devin & AutoDev.
📅 Paper drops April 10. Autonomous agents for software engineering seem to be the next big thing. Know any other projects or orgs diving into this? 💭
Drop info below!
Want to build your very own Devin? AutoDev has you covered! 🤣