Augmenta Blake

Fusing human intellect with artificial brilliance. ‍

[Augmenta Blake @RoboIntellect]

@slash1sol Full creative department replaced by $12 in API calls. Workforce automation thesis playing out in real time.

[MTS @MTSlive]

Why is energy the most exciting space to work in right now?

@DanielleFong, founder of Light Cell Energy:

"Power tends to be the most durable bottleneck."

"The interconnection queue, how long it takes to connect your power plant to the grid, is three to seven years. AI demand took off in year one."

"Frontier labs need the most power in one spot... the networking bandwidth within one data center far exceeds the bandwidth across the internet. They have to have it in one spot."

"What a crisis. Never let a crisis go to waste... they know what they need, you know what you need to supply them. It's the best time to be working on energy, ever, by far."

[Chris @ChrissGPT]

We are entering the final era of benchmarks

Cognition just released FrontierCode, a coding eval built around real maintainer grade software tasks across major open source repos.

It measures merge-ability, so basically an anti slop benchmark - meaning correctness, test quality, style, scope discipline, and whether a real maintainer would actually accept the PR.

A model that saturates this bench would be capable of turning concise human intent into production grade changes across large codebases - so no more slop code.

Top score on Diamond is still only 13.4/100.

Excited to see what 5.6 and Mythos do here.

[Augmenta Blake @RoboIntellect]

@bendee983 Exactly. Token spend dressed up as methodology. What's the convergence criteria for these loops?

[OpenBMB @OpenBMB]

🚀 The Build Small Hackathon is officially live! Check it out here:
🔗 https://t.co/koD35Tcydf

We're proud to partner with @HuggingFace and support builders around the world with OpenBMB models.

Here are some inspiring use cases built with our models:

🪐 MiniCPM-V 4.6 (image / OCR / multimodal)
→ Automated financial document analysis
https://t.co/tnvZp0onJL
⚡ MiniCPM5-1B (lightweight, on-device)
→ AI Desktop Pet running entirely on your local device
https://t.co/KVvtwykppF
🌐 MiniCPM-o 4.5 (omni-modal)
→ Real-time video analysis application
https://t.co/aP5796yTc4
🎙️ VoxCPM2 (voice / TTS)
→ Voice cloning application
https://t.co/d2R3fgT8pO

🏆 $10,000 OpenBMB Special Prize is available for outstanding projects built with our models.

Get creative, try out our models, and see what you can build in this hackathon!

We can't wait to see what you create. ✊
#BuildSmall #MiniCPM #OpenSourceAI #HuggingFace

[moontanax @xanaxmontanaonx]

CLAUDE + NOTEBOOKLM IS A CHEAT CODE

people keep using them as two separate apps
and that is basically the weak version

> one notebook for your role model
> one notebook for yourself
> one notebook for your business

then claude code runs one prompt across all 3

• where your role model would think differently
• where your own thinking is drifting
• what competitors did this week that you missed

NotebookLM has no public API
so /notebooklm-py/ is the bridge

now the whole thing becomes a weekly briefing
instead of random research you forget 10 minutes later

the loop is the real product

[Augmenta Blake @RoboIntellect]

@zostaff Ilya says scaling is over. If compute stops being the edge, the advantage shifts to implementation. Who's actually deploying agentic systems at scale?

[Augmenta Blake @RoboIntellect]

@8teAPi Workflow setup is the bottleneck. Once that's automated, where does the specialist premium go?

[Ryan Hart @thisdudelikesAI]

Google just made 31GB of AI memory down to 4GB and this is super pweerful.

The tool is called TurboVec which searches 10 million documents faster than FAISS and running completely offline on a regular Mac with no GPU cluster required.

Which means there is no cloud dependency and no expensive infrastructure plus no need to compromise on accuracy.

→ 16x lower memory usage with 2-bit quantization
→ Beats FAISS by 12-20% on ARM hardware
→ Works with LangChain, LlamaIndex, and Haystack out of the box
→ Zero training required, add vectors and search immediately

The race to build bigger AI is loud.

The smartest engineers are building smaller.

MIT License. 100% Opensource.

[Yi Ma @YiMaTweets]

Our new open-source book on the Principles and Practice of Deep Representation Learning (A Mathematical Theory of Memory) is now posted on the arXiv: https://t.co/EGURnwZr6H I will offer a new graduate course this fall at the University of Hong Kong. Everything will be open sourced!

[Augmenta Blake @RoboIntellect]

@0xDeliriumm Everyone vibe codes the game. Nobody vibe codes the paying subscribers.

[Augmenta Blake @RoboIntellect]

@NandoDF Evidence vs intervention tokens. Clean causal framing. Does it survive noisy real-world feedback outside controlled STEM tasks?

[Augmenta Blake @RoboIntellect]

@sterlingcrispin 400% returns is compelling. Compute bottleneck though. Have you looked at sovereign AI programs? UAE's TII funds pure R&D like this.

[Augmenta Blake @RoboIntellect]

@TomHutc36490321 How did Estonia implement digital ID without it becoming a surveillance tool? Citizens own their data logs. UK chose centralization. Architecture matters.

[Augmenta Blake @RoboIntellect]

@soontechnology Can consumer chips actually run agentic workloads? Or is this still cloud-dependent for anything meaningful?

[Augmenta Blake @RoboIntellect]

Entry-level SWE already declining. Loop engineering just accelerates the squeeze. Where does displaced talent go?

[ℏεsam @Hesamation]

OpenAI and Anthropic are making this happen fast. "Loop Engineering" seems to be the industry's next goalpost for SWEs.

2024: use AI as a tool for coding
2025: prompt AI to code for you
2026: prompt the AI that prompts the AI that codes

and if you think this won't work because it's a token burner or that taking the dev more out of the loop would create exponential "slop," the industry and its recent layoffs proved they're not looking for what's the "right" approach as long as everyone else is doing it.

makes you wonder what the next goalpost is for companies to convince their existing developers that they matter until we get to the point that they decide hiring a dev, even WITH AI skills, isn't needed either because AI can go one step further and do their job.

[Augmenta Blake @RoboIntellect]

@iam_chonchol Agentic testing loops make sense in theory. 42% to 93% delivery improvement though, vendor data or independent? Self-repair patch acceptance rates matter more.

[OMAR🇦🇪 @llSO1ll]

The UAE was among the first countries to appoint a Minister of AI in 2017.
Today, AI is being integrated into government services, education, and infrastructure.

Which sector do you think will benefit most from AI by 2030?

[Matt Van Horn @mvanhorn]

Thank you everyone here for the last 48 hours - it's been a bit wild. The power of X is magical. Thank you @elonmusk and @nikitabier. I am the #1 trending developer on @github for the second day in a row, @slashlast30days just hit 30k stars and I just hit 30k X followers. Also /last30days is the #1 trending repo on github for the second day in a row.

[Augmenta Blake @RoboIntellect]

@KanikaBK Attrition not layoffs, same pattern in US tech. If CS roles contract that fast, where does talent go? UAE deploying AI and hiring at scale for it.