90 place 11
Drip Capital overcame AI challenges like hallucinations, improved document processing efficiency and applied AI to risk assessment.
A newsletter a day!
You may get 10 most important news around midday in daily newsletter. Press the button and we will send you the most important news only, no spam attached.
LIKE us on Facebook so you won't miss the most important news of the day!
VentureBeat
An East Bay apartment complex has been bought at a price that's well below its prior value. Read more âș
0
A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more âș
0
âOwning and controlling the entire AI stack is essentialâ: Europe is doubling down on its own AI infrastructure Read more âș
0 fresh
Solar Ireland says continued collaboration across policy, planning, grid infrastructure and skills development will be essential to sustain growth Irelandâs solar sector has experienced one of the fastest periods of renewable energy growth in the countryâs history, with total connected solar capacity reaching 2.7 GW by the end of May 2026, an increase of almost [âŠ] Read more âș
0 newcommer
Kagi shows what Google Search could be without ads and AI junk if you can stomach its price. Read more âș
0 newcommer
One of the biggest fish in the mobility world allegedly screwed over one of the tiniest. Read more âș
0 newcommer
Minnesota is telling a federal court that prediction markets carry risks ranging from gambling addiction to insider trading as officials⊠Continue reading Minnesota defends prediction market restrictions amid federal court challenge Read more âș
0 newcommer
From fake tickets to cloned websites, AI is magnifying World Cup scams. Can fans distinguish between whatâs real and whatâs not? Read more âș
0 newcommer
Big Tech is throwing big money into data center buildouts. As national opposition to the facilities grows, some workers are beginning to question whether itâs worth it. Read more âș
0 newcommer
ĐŃĐ”ĐŒ ĐżŃĐžĐČĐ”Ń, ĐŒĐ”ĐœŃ Đ·ĐŸĐČŃŃ ĐĐžŃ Đ°ĐžĐ», Ń ŃĐ°Đ±ĐŸŃĐ°Ń ĐłĐ»Đ°ĐČĐœŃĐŒ ŃĐșŃпДŃŃĐŸĐŒ (Java/Kotlin) ĐČ ĐйРĐĐ°ĐœĐșĐ”.ĐĄĐ”ĐłĐŸĐŽĐœŃ Ń Ń ĐŸŃŃ ĐŸĐ±ŃŃĐŽĐžŃŃ ŃĐ”ĐŒŃ, ĐșĐŸŃĐŸŃĐ°Ń ĐœĐ° пДŃĐČŃĐč ĐČзглŃĐŽ ĐœĐ” ĐșажДŃŃŃ ĐŸŃĐ”ĐČĐžĐŽĐœĐŸĐč ĐŽĐ»Ń ŃĐ°Đ·ŃĐ°Đ±ĐŸŃŃĐžĐșĐ°, ĐœĐŸ ĐžĐŒĐ”ĐœĐœĐŸ ĐŸĐœĐ° ĐżĐŸĐșĐ°Đ·ŃĐČĐ°Đ”Ń Đ·ŃĐ”Đ»ĐŸŃŃŃ Đž ĐżŃĐŸŃĐ”ŃŃĐžĐŸĐœĐ°Đ»ĐžĐ·ĐŒ.ĐŁĐŒĐ”ĐœĐžĐ” ĐłĐŸĐČĐŸŃĐžŃŃ "ĐœĐ”Ń" - ĐŸĐŽĐžĐœ Оз ŃĐ°ĐŒŃŃ ĐČĐ°Đ¶ĐœŃŃ ŃĐșĐžĐ»ĐŸĐČ ĐČ ŃĐ°Đ·ŃĐ°Đ±ĐŸŃĐșĐ”. ĐĐž Đ·ĐœĐ°ĐœĐžĐ” ŃŃĐ”ĐčĐŒĐČĐŸŃĐșĐŸĐČ, ĐœĐž ĐČĐ»Đ°ĐŽĐ”ĐœĐžĐ” ŃĐ·ŃĐșĐ°ĐŒĐž ĐżŃĐŸĐłŃĐ°ĐŒĐŒĐžŃĐŸĐČĐ°ĐœĐžŃ ĐœĐ” ŃŃĐ°ĐČĐœĐžŃŃŃ Ń ŃŃĐžĐŒ ĐœĐ°ĐČŃĐșĐŸĐŒ.ĐĄĐșĐ°Đ·Đ°ŃŃ "ĐœĐ”Ń" бŃĐČĐ°Đ”Ń ŃŃĐ¶Đ”Đ»ĐŸ. ĐŃĐŸĐ±Đ”ĐœĐœĐŸ ĐČ ĐœĐ°ŃалД ĐżŃŃĐž, ĐșĐŸĐłĐŽĐ° ŃŃ Đ”ŃĐ” ĐŒĐŸĐ»ĐŸĐŽ Đž Đ±ĐŸĐžŃŃŃŃ. ĐĐŸĐžŃŃŃŃ, ŃŃĐŸ... Read more âș
0 newcommer
ĐŃĐ”ĐŒ ĐżŃĐžĐČĐ”Ń! ĐĐ”ĐœŃ Đ·ĐŸĐČŃŃ ĐĄĐžĐ·ĐŸĐČ ĐĐ°ŃОлОĐč Đž Ń ŃĐ°Đ±ĐŸŃĐ°Ń Đ»ĐžĐŽĐ”ŃĐŸĐŒ ĐșлаŃŃĐ”ŃĐ° "ML CRM Đž ML ĐșĐ»ĐžĐ”ĐœŃŃĐșĐžĐč ĐŸĐżŃŃ" ĐČ ĐĐąĐ. ĐŃ Ń ĐœĐ”ŃĐșĐŸĐ»ŃĐșĐžĐŒĐž ĐșĐŸĐŒĐ°ĐœĐŽĐ°ĐŒĐž ŃĐ°Đ·ŃабаŃŃĐČĐ°Đ”ĐŒ ĐșĐ°Đș ĐșлаŃŃĐžŃĐ”ŃĐșОД ĐŒĐŸĐŽĐ”Đ»Đž, ŃĐ°Đș Đž ĐżĐŸĐ»ĐœĐŸŃĐ”ĐœĐœŃĐ” ŃĐ”ŃĐČĐžŃŃ Ń LLM.ĐŃĐŸ ĐžŃŃĐŸŃĐžŃ ĐŸĐŽĐœĐŸĐłĐŸ пДŃ-ĐżŃĐŸĐ”ĐșŃĐ° ĐœĐ° ĐČŃŃ ĐŸĐŽĐœŃĐ”, ĐșĐŸŃĐŸŃŃĐč ĐČŃŃĐŸŃ ĐČ ĐœĐ”Đ±ĐŸĐ»ŃŃĐŸĐč ŃŃĐ”ĐčĐŒĐČĐŸŃĐș. ĐŻ ŃĐ°ŃŃĐșажŃ, ĐșĐ°Đș ĐżĐŸĐŽĐœŃŃŃ ĐČĐ”ŃŃ ML-ŃŃĐ”Đș ĐŽĐ»Ń RAG ĐŸĐŽĐœĐŸĐč ĐșĐŸĐŒĐ°ĐœĐŽĐŸĐč, ĐșĐ°Đș ŃĐ°Đ·ŃДзаŃŃ ĐșĐœĐžĐłŃ ĐœĐ° ĐżŃĐ°ĐČОлŃĐœŃĐ” ŃĐ°ĐœĐșĐž, ĐșĐ°Đș ĐČĐŸĐŸĐ±ŃĐ” ŃŃŃŃĐŸĐ”Đœ Graph RAG (ĐœĐ° ĐżŃĐžĐŒĐ”ŃĐ” Microsoft GraphRAG), ĐżĐŸŃĐ”ĐŒŃ Ń... Read more âș
0 newcommer
ĐĐŸĐșĐ° ĐžĐœĐŽŃŃŃŃĐžŃ Đ¶ĐŽĐ°Đ»Đ° ĐżĐ»Đ°ĐœĐŸĐČĐŸĐłĐŸ ŃДлОза, OpenAI, ĐżĐŸŃ ĐŸĐ¶Đ”, ĐČŃĐžŃ ŃŃ Đ·Đ°ĐżŃŃŃОла A/B-ŃĐ”ŃŃĐžŃĐŸĐČĐ°ĐœĐžĐ” GPT-5.6 Pro ĐŽĐ»Ń ŃĐ°ŃŃĐž ĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°ŃДлДĐč. ĐĐžĐșĐ°ĐșĐžŃ Đ°ĐœĐŸĐœŃĐŸĐČ, ŃĐŸĐ»ŃĐșĐŸ ĐČĐœĐ”Đ·Đ°ĐżĐœĐŸ ĐČĐŸĐ·ŃĐŸŃŃДД ĐČŃĐ”ĐŒŃ ĐłĐ”ĐœĐ”ŃĐ°ŃОО (ĐŽĐŸ 20-40 ĐŒĐžĐœŃŃ) Đž ŃДзŃĐ»ŃŃĐ°ŃŃ, ĐșĐŸŃĐŸŃŃĐ” Đ·Đ°ŃŃĐ°ĐČĐ»ŃŃŃ ĐżĐ”ŃĐ”ĐŸŃĐŒŃŃлОŃŃ ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃĐž LLM. ĐĐ°Đș ĐœĐ°ŃŃĐ”Ń ĐżĐŸĐ»ĐœĐŸŃŃŃŃ ŃŃĐœĐșŃĐžĐŸĐœĐ°Đ»ŃĐœĐŸĐłĐŸ ŃĐžĐŒŃĐ»ŃŃĐŸŃĐ° Đ¶ĐžĐ·ĐœĐž ŃĐŸ ŃĐ»ĐŸĐ¶ĐœŃĐŒ ŃŃĐ”ĐčŃ-ĐŒĐ”ĐœĐ”ĐŽĐ¶ĐŒĐ”ĐœŃĐŸĐŒ, NPC Đž ŃĐžŃŃĐ”ĐŒĐŸĐč ĐżŃĐŸŃĐ”ŃŃĐžĐč, ŃĐłĐ”ĐœĐ”ŃĐžŃĐŸĐČĐ°ĐœĐœĐŸĐłĐŸ ĐČ ĐŸĐŽĐœĐŸĐŒ HTML-ŃĐ°ĐčлД бДз ĐžŃĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°ĐœĐžŃ IDE Đž ŃŃĐŸŃĐŸĐœĐœĐžŃ ŃŃĐ”ĐčĐŒĐČĐŸŃĐșĐŸĐČ? ĐĄĐżĐŸĐčлДŃ: ĐŒĐŸĐŽĐ”Đ»Ń ŃДпДŃŃ ĐżĐŸĐœĐžĐŒĐ°Đ”Ń ĐœĐ” ŃĐŸĐ»ŃĐșĐŸ ĐșĐŸĐŽ, ĐœĐŸ Đž. Read more âș
0 newcommer
Đ§Đ°Ń ĐșĐ°Đș ĐžĐœŃĐ”ŃŃĐ”ĐčŃ ŃпОŃĐ°Đ”ŃŃŃ ĐČ ĐżĐŸŃĐŸĐ»ĐŸĐș. йДĐșŃŃ Ń ĐŸŃĐŸŃ, ĐșĐŸĐłĐŽĐ° ĐŸŃĐČĐ”Ń ŃŃĐŸ ĐŸĐ±ŃŃŃĐœĐ”ĐœĐžĐ” ОлО ĐșĐŸĐŽ. ĐĐŸ ĐœĐ° Đ·Đ°ĐżŃĐŸŃ Â«ĐżĐŸĐșажО ĐżŃĐŸĐŽĐ°Đ¶Đž Đ·Đ° ĐșĐČĐ°ŃŃĐ°Đ» Đž ŃŃĐ°ĐČĐœĐž Ń ĐżŃĐŸŃĐ»ŃĐŒ ĐłĐŸĐŽĐŸĐŒÂ» ĐŒĐŸĐŽĐ”Đ»Ń ĐŸŃĐČĐ”ŃĐ°Đ”Ń ŃŃĐ”ĐœĐŸĐč ŃĐžŃДл, ĐČ ĐșĐŸŃĐŸŃĐŸĐč ĐœĐžŃĐ”ĐłĐŸ ĐœĐ” ĐżĐŸĐșŃŃŃĐžŃŃ. Đ„ĐŸŃĐ”ŃŃŃ ĐŽŃŃĐłĐŸĐłĐŸ: ĐžĐœŃĐ”ŃĐ°ĐșŃĐžĐČĐœŃĐč ĐŽĐ°ŃĐ±ĐŸŃĐŽ ĐżŃŃĐŒĐŸ ĐČ ŃĐ°ŃĐ”, ĐșĐŸŃĐŸŃŃĐč ĐżŃĐž ŃлДЎŃŃŃĐ”Đč ŃДплОĐșĐ” ĐœĐ” пДŃĐ”ŃĐŸĐ±ĐžŃĐ°Đ”ŃŃŃ Ń ĐœŃĐ»Ń, Đ° Đ°ĐșĐșŃŃĐ°ŃĐœĐŸ ĐŸĐ±ĐœĐŸĐČĐ»ŃĐ”ŃŃŃ. ĐŃĐ”ĐČĐžĐŽĐœĐŸĐ” ŃĐ”ŃĐ”ĐœĐžĐ” â ĐżĐŸĐżŃĐŸŃĐžŃŃ ĐŒĐŸĐŽĐ”Đ»Ń ŃĐłĐ”ĐœĐ”ŃĐžŃĐŸĐČĐ°ŃŃ React-ĐșĐŸĐŒĐżĐŸĐœĐ”ĐœŃ â ĐŸĐșĐ°Đ·ŃĐČĐ°Đ”ŃŃŃ ŃŃпОĐșĐŸĐŒ. ĐŃĐČĐŸĐŽ ĐœĐ”ŃŃĐ°Đ±ĐžĐ»Đ”Đœ: ĐŸĐŽĐžĐœ Đž ŃĐŸŃ Đ¶Đ” ĐżŃĐŸĐŒĐżŃ... Read more âș
0 newcommer
My stressful divorce turned me into a parent I barely recognized. I can't change who I was then, but I can choose who I am now. Read more âș
0 newcommer
Former Mastercard CMO Raja Rajamannar says consumers are tuning out ads and that marketers must focus on creativity, experiences, and human connection. Read more âș
0 newcommer
Audio brand Triangle has unveiled its new Solstice range (a day after the summer solstice) which is, while not cheap, more affordable than many rivals. Read more âș
0 fresh
An attacker forged withdrawal proofs to drain about $1.7 million, the same flaw class behind this year's biggest bridge hacks. Fast containment kept the damage small. Read more âș
0 fresh
The AI boom isn't just causing smartphone prices to increase, it's also impacting the value of companies like Samsung. Read more âș
0 fresh
Doctor Profit, a widely followed crypto analyst, says bitcoin is forming a âbear flagâ pattern. Read more âș
0 fresh
VentureBeat
AI coding agents are rapidly accelerating data engineering by generating transformations, pipelines, orchestration workflows, validation tests, and infrastructure configurations from prompts. However, enterprise data platforms have long operated across fragmented systems owned by different teams and built on different technologies. As these systems evolve independently, organizations increasingly struggle with inconsistent business logic, duplicated implementations, difficult downstream impact analysis, and Read more âș
0
Organizational leaders are nearly twice as likely to hide their AI use compared to all other employees, at 42% versus 23%, according to new Ivanti research surveying 3,900 employees across six countries. Among leaders who conceal that usage, 52% say they do it for a "secret advantage." The same research found 85% of IT professionals claim a named owner exists for every AI agent. Only 42% say ownership is actually... Read more âș
0
Tokyo-based AI startup Sakana AI has officially launched its first commercial product, Sakana Marlin. Billed as a "Virtual CSO" (Chief Strategy Officer), Marlin is an autonomous, B2B research agent that deliberately abandons the instantaneous text generation of modern chatbots in favor of deep, long-horizon reasoning. What sets Marlin apart from the current ecosystem of AI tools is its temporal scale: instead of returning an answer in seconds, it runs continuous,... Read more âș
0
Microsoft CEO Satya Nadella published a sweeping essay on Sunday laying out what he describes as the defining economic challenge of the AI era: the risk that a handful of frontier models will absorb the expertise of entire industries and commoditize it, leaving businesses stripped of their competitive moats."The last thing any of us want is a world where every company across every sector is ceding value to a few... Read more âș
0
One of the assumptions behind todayâs AI frameworks is that agents require a âbossâ at the center; this orchestrator runs the show, routes requests, and makes sure the whole system doesnât descend into chaos. That assumption may be wrong, and the cost of carrying it could be measured in inference dollars and coordination latency. A new Stanford framework called a decentralized language model, or DeLM, is built on the premise... Read more âș
0
For decades, data professionals have struggled with the challenge of managing both operational and analytical databases in a unified approach that doesn't introduce latency and performance degradation.Agents made the problem structural. A system that reasons continuously and acts on live data cannot tolerate a pipeline between itself and the information it needs to act on.At the Data + AI Summit on Tuesday, Databricks announced two products aimed at collapsing that... Read more âș
0
Today, Chinese AI startup Z.ai (formerly Zhipu AI) announced the immediate release of GLM-5.2, a 753-billion parameter open-weights large language model (LLM) engineered specifically to dominate "long-horizon" autonomous coding and engineering tasks. Available immediately on Hugging Face, the Z.ai API, and more than 20 third-party coding environments, the model boasts a highly stable 1-million-token context window alongside enterprise subscription tiers starting at just $12.60 per month. In excellent news f Read more âș
0
On Sunday, a team of nine researchers at Sina Weibo â the Chinese social media giant better known for its microblogging platform than for cutting-edge artificial intelligence â quietly posted a 14-page technical report to arXiv that sent shockwaves through the AI research community. Their claim: a language model with just 3 billion parameters can match or exceed the reasoning performance of flagship systems from Google DeepMind, OpenAI, Anthropic, and... Read more âș
0
When Anthropic quietly released Claude Design in April as a "research preview," it generated the kind of instant traction most product teams dream about: more than one million users in its first week. It also generated a problem. The tool consumed tokens so voraciously that a PCWorld reviewer burned through 80 percent of his weekly Claude Pro allowance in roughly 25 minutes, producing just three variations of a single webpage... Read more âș
0
Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change that.Amazon on Wednesday entered the space, announcing a series of three products it's positioning as a context intelligence stack for AI agents. The centerpiece is AWS Context, a new knowledge graph service that gets smarter through... Read more âș
0
Most popular sources
Vox
|
0% |
Skift
|
0% |
Mashable
|
0% |
MacRumors
|
0% |
Ars Technica
|
0% |
| View sources » | |
LIKE us on Facebook so you won't miss the most important news of the day!
22.06.2026 05:47
Last update: 05:40 EDT.
News rating updated: 12:41.
What is Times42?
Times42 brings you the most popular news from tech news portals in real-time chart.
Read about us in FAQ section.
