Relative to our short lives, #MotherEarth offers us infinite #beauty so let us each find our own way to roll around in #nature and revel in all its glory. If we must leave something behind us, then let it be #love and #art - for only they will leave #planetearth more beautiful :)
I've spent the past few weeks reading 100s of public data sources about AI development. I now believe that recursive self-improvement has a 60% chance of happening by the end of 2028. In other words, AI systems might soon be capable of building themselves.
@AnthropicAI How many more months am I supposed to wait (as a Max subscriber) before you sort out #Claude "Your artefacts" (dis-)functionality? Outrageously slack that this issue is still persisting after over a month! Constant daily frustration, ruining my opinion of your brand.
Elon Musk predicts that AI will bypass coding entirely by the end of 2026 - just creates the binary directly
AI can create a much more efficient binary than can be done by any compiler
So just say, "Create optimized binary for this particular outcome," and you actually bypass even traditional coding
Current: Code → Compiler → Binary → Execute
Future: Prompt → AI-generated Binary → Execute
Grok Code is going to be state-of-the-art in 2–3 months
Software development is about to fundamentally change
@MrinankSharma@grok If the poem in the 2-page letter by @mrinank tells us the way it is, please write a poem telling us the way it should be, addressing concerns expressed in the letter, offering the author a path of hope through the fog. Structure and length of Stafford's "The Way It Is".
@MrinankSharma@grok Addressing the 2-page letter by @mrinank, write a poem called The Way It Should Be", mirroring content, structure and length of Stafford's "The Way It Is".
Nvidia paid 3X Groq's September valuation to acquire it. This is strategically nuclear.
Every AI lab was GPU dependent, creating massive concentration risk. Google broke free with TPUs for internal use, proving the "Nvidia or nothing" narrative was false. This didn't just demonstrate technical feasibility, it revealed that Nvidia's moat was shallower than markets believed. When a hyperscaler successfully builds custom silicon, every sophisticated buyer starts running" should we build our own?" calculations. This drops Nvidia’s TAM.
Jonathan Ross (Groq’s founder) is the inventor of TPU. He understood the architectural principles that made non-GPU AI acceleration viable. His LPU architecture targeted inference workload where GPUs are actually over-engineered. This matters because inference is where the real money is long-term. Training is one-time capex, but inference is recurring opex that scales with usage. If Groq proved LPUs could hit competitive price-performance on inference, every cloud provider would white-label their architecture. Nvidia would get squeezed into "just training" while losing the annuity stream.
It is safe to see this deal as Nvidia insuring against Groq enabling an entire ecosystem of Nvidia alternatives. But what is more interesting is the second-order effect, the customer lock-ins. Now, Nvidia owns both the incumbent standard (CUDA + GPU) and the most credible alternative architecture (LPUs). This is MSFT buying Github-level strategic. Any AI lab evaluating "build vs buy vs alternative vendor" now faces:
- Option A (Nvidia GPUs)
- Option B (Nvidia <> Groq LPUs)
- Option C (start from scratch)
Turning a competitive threat into a customer segmentation tool, Jensen is the master of trades. They can now price-discriminate: premium customers pay for GPUs, price-sensitive inference gets funneled to LPUs, and Nvidia captures both.
If Nvidia doesn't integrate LPUs in its roadmap, this was a pure defensive play. If they do integrate it and start offering "GPU for training, LPU for inference" bundles, this becomes a textbook moat-widening acquisition.
The most expensive thing in technology isn't building the future, it's preventing someone else from building a future without you.
This is the DeepSeek moment for Voice AI.
Today we’re releasing Chatterbox Turbo — our state-of-the-art MIT licensed voice model that beats ElevenLabs Turbo and Cartesia Sonic 3!
We’re finally removing the trade-offs that have held voice AI back.
Fast models sound robotic. Great models are slow. And none are built for trust. We fixed all three. Chatterbox Turbo is transparent, auditable, and built for a world that needs proof.
If you give a bully an inch, he'll take a mile - and there are other heavies watching from the corner of the schoolyard... I asked @claudeai@AnthropicAI to analyse the thoughts of @grok on the #Trump#PeacePlan and here's the result: https://t.co/CVktwcWMDR - well worth a read.
@vonderleyen Well said - if you give a bully an inch, he'll take a mile. And there are other heavies watching from the corner of the schoolyard... Fyi, @claudeai@AnthropicAI analysed the thoughts of @grok on #Trump proposal and here's the result: https://t.co/CVktwcWMDR - well worth a read.